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ORCIDTiffany Barnes
Tiffany M. Barnes
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- affiliation: North Carolina State University, Department of Computer Science, Raleigh, NC, USA
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2020 – today
- 2024
[j56]Preya Shabrina
, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes:
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. Int. J. Artif. Intell. Educ. 34(3): 825-861 (2024)- [j55]Mark Abdelshiheed, Tiffany Barnes, Min Chi:
How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 34(3): 974-1007 (2024) - [j54]Susan R. Fisk, Brittany Watts, Courtney Dress, Charlotte Lee, Audrey Rorrer, Tom McKlin, Tiffany Barnes, Jamie Payton:
Retaining Black Women in Computing: A Comparative Analysis of Interventions for Computing Persistence. ACM Trans. Comput. Educ. 24(2): 1-25 (2024) - [c281]Ally Limke, Marnie Hill, Veronica Cateté, Tiffany Barnes:
A Survey of K-12 Teacher Needs for an Online Programming Learning System. CHI Extended Abstracts 2024: 23:1-23:7 - [c280]Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. EDM 2024 - [c279]Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes:
How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor. EDM 2024 - [c278]Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction. EDM 2024 - [c277]Sutapa Dey Tithi, Behrooz Mostafavi, Arun Kumar Ramesh, Tiffany Barnes:
Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System. EDM 2024 - [c276]Benyamin T. Tabarsi, Heidi Reichert, Nicholas Lytle, Veronica Cateté, Tiffany Barnes:
Scaffolding Novices: Analyzing When and How Parsons Problems Impact Novice Programming in an Integrated Science Assignment. ICER (1) 2024: 42-54 - [c275]Sandeep Sthapit, Madison Thomas, Janet Brock, Tiffany Barnes:
Cracking the Cultural Code: Understanding the Cultural Barriers for International CS Students in the US. RESPECT 2024: 293-301 - [c274]Wengran Wang, Ally Limke, Mahesh Bobbadi, Amy Isvik, Veronica Cateté, Tiffany Barnes, Thomas W. Price:
Idea Builder: Motivating Idea Generation and Planning for Open-Ended Programming Projects through Storyboarding. SIGCSE (1) 2024: 1402-1408 - [c273]Lauren Gabrielle Wyatt, Susan Rebecca Fisk, Clarissa A. Thompson, Jamie Payton, Veronica Cateté, Audrey Smith Rorrer, Tiffany Barnes, Tom McKlin:
Multi-Pronged Pedagogical Approaches to Broaden Participation in Computing and Increase Students' Computing Persistence: A Robustness Analysis of the STARS Computing Corps' Impact on Students' Intentions to Persist in Computing. SIGCSE (1) 2024: 1456-1462 - [c272]Heidi Reichert, Sandeep Sthapit, Benyamin T. Tabarsi, Ally Limke, Thomas W. Price, Tiffany Barnes:
Experience Helps, but It Isn't Everything: Exploring Causes of Affective State in Novice Programmers. SIGCSE (2) 2024: 1792-1793 - [c271]Sandeep Sthapit, Madison Thomas, Janet Brock, Tiffany Barnes:
Cracking the Cultural Code: Understanding the Cultural Barriers for Asian International CS Students in the US. SIGCSE (2) 2024: 1830-1831 - [c270]Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi:
Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. SIGCSE (2) 2024: 1904 - [c269]Heidi Reichert, Benyamin T. Tabarsi, Thomas W. Price, Tiffany Barnes:
Jigsaw: A Tool for Decomposing and Planning Programming Problems. VL/HCC 2024: 236-247 - 2023
- [j53]Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi:
The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way. Int. J. Artif. Intell. Educ. 33(4): 1031-1056 (2023) - [j52]Mehak Maniktala, Min Chi, Tiffany Barnes:
Enhancing a student productivity model for adaptive problem-solving assistance. User Model. User Adapt. Interact. 33(1): 159-188 (2023) - [c268]Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI 2023: 15895-15902 - [c267]Nazia Alam, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. AIED (Posters/Late Breaking Results/...) 2023: 278-283 - [c266]Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi:
Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems. AIED 2023: 291-303 - [c265]Preya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. AIED 2023: 389-400 - [c264]Markel Sanz Ausin, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics. AIED (Posters/Late Breaking Results/...) 2023: 599-605 - [c263]John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning. AAMAS 2023: 1248-1257 - [c262]Ally Limke, Nicholas Lytle, Maggie Lin, Sana Mahmoud, Marnie Hill, Veronica Cateté, Tiffany Barnes:
Empowering Students as Leaders of Co-Design for Block-Based Programming. CHI Extended Abstracts 2023: 98:1-98:7 - [c261]Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi:
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. CogSci 2023 - [c260]Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price:
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM 2023 - [c259]Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes:
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. EDM 2023 - [c258]John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems. FUZZ 2023: 1-7 - [c257]Janet Brock, Isabella Gransbury, Veronica Cateté, Tiffany Barnes, Shuchi Grover, Ákos Lédeczi:
Student Attitudes During the Pilot of the Computer Science Frontiers Course. ICER (2) 2023: 24-25 - [c256]Wengran Wang, John Bacher, Amy Isvik, Ally Limke, Sandeep Sthapit, Yang Shi, Benyamin T. Tabarsi, Keith Tran, Veronica Cateté, Tiffany Barnes, Chris Martens, Thomas W. Price:
Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience. ICER (1) 2023: 464-475 - [c255]Wengran Wang, Yudong Rao, Archit Kwatra, Alexandra Milliken, Yihuan Dong, Neeloy Gomes, Sarah Martin, Veronica Cateté, Amy Isvik, Tiffany Barnes, Chris Martens, Thomas W. Price:
A Case Study on When and How Novices Use Code Examples in Open-Ended Programming. ITiCSE (1) 2023: 82-88 - [c254]John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. IVA 2023: 28:1-28:9 - [c253]Tom McKlin, Clarissa A. Thompson, Susan R. Fisk, Audrey Rorrer, Tiffany Barnes:
Exposing Oversights in the Collection, Analysis, and Reporting of Demographic Data. RESPECT 2023: 9-10 - [c252]Isabella Gransbury, Janet Brock, Veronica Cateté, Tiffany Barnes, Shuchi Grover, Ákos Lédeczi:
High School Girls' Experiences in a Project-Based Learning Computer Science Course. RESPECT 2023: 117-123 - [c251]Rachel Harred, Tiffany Barnes, Susan R. Fisk, Bita Akram, Thomas W. Price, Spencer Yoder:
Do Intentions to Persist Predict Short-Term Computing Course Enrollments: A Scale Development, Validation, and Reliability Analysis. SIGCSE (1) 2023: 1062-1068 - [c250]Amy Isvik, Tiffany Barnes, Jamie Payton:
Giving Back While Moving Forward: Sharing Strategies for Integrating Research and Action for Equity and Inclusion into Your Computing Career. SIGCSE (2) 2023: 1249 - [c249]Kathryn Perry, Mohsen Dorodchi, Kinnis Gosha, Lien Diaz, Tiffany Barnes, Joanna Goode:
Promoting K12 / University Collaboration. SIGCSE (2) 2023: 1252 - [c248]Ally Limke, Nicholas Lytle, Sana Mahmoud, Maggie Lin, Marnie Hill, Veronica Cateté, Tiffany Barnes:
Participatory Design with Teachers for Block-Based Learning with SnapClass. VL/HCC 2023: 173-178 - [c247]Benyamin T. Tabarsi, Heidi Reichert, Rachel Qualls, Thomas W. Price, Tiffany Barnes:
Exploring Novices' Struggle and Progress During Programming Through Data-Driven Detectors and Think-Aloud Protocols. VL/HCC 2023: 179-183 - [c246]Isabella Gransbury, Janet Brock, Emily Root, Veronica Cateté, Tiffany Barnes, Shuchi Grover, Ákos Lédeczi:
Project-Based Software Engineering Curriculum for Secondary Students. WiPSCE 2023: 14:1-14:6 - [i24]Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi:
Preparing Unprepared Students For Future Learning. CoRR abs/2303.11960 (2023) - [i23]Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi:
The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. CoRR abs/2303.11965 (2023) - [i22]Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi:
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. CoRR abs/2303.12223 (2023) - [i21]Mark Abdelshiheed, Guojing Zhou, Mehak Maniktala, Tiffany Barnes, Min Chi:
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR abs/2303.13541 (2023) - [i20]Mark Abdelshiheed, Mehak Maniktala, Tiffany Barnes, Min Chi:
Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR abs/2303.14609 (2023) - [i19]Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi:
Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems. CoRR abs/2304.09821 (2023) - [i18]Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi:
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. CoRR abs/2304.11739 (2023) - 2022
- [j51]Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes:
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor. Int. J. Artif. Intell. Educ. 32(2): 263-296 (2022) - [j50]Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction. Int. J. Artif. Intell. Educ. 32(2): 454-500 (2022) - [j49]Samiha Marwan, Bita Akram, Tiffany Barnes, Thomas W. Price:
Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation. IEEE Trans. Learn. Technol. 15(3): 406-420 (2022) - [j48]Corey E. Brady, Brian Broll, Gordon Stein, Devin C. Jean, Shuchi Grover, Veronica Cateté, Tiffany Barnes, Ákos Lédeczi:
Block-based abstractions and expansive services to make advanced computing concepts accessible to novices. J. Comput. Lang. 73: 101156 (2022) - [c245]Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
Cross-Lingual Adversarial Domain Adaptation for Novice Programming. AAAI 2022: 7682-7690 - [c244]Lauren Alvarez, Isabella Gransbury, Veronica Cateté, Tiffany Barnes, Ákos Lédeczi, Shuchi Grover:
A Socially Relevant Focused AI Curriculum Designed for Female High School Students. AAAI 2022: 12698-12705 - [c243]Song Ju, Xi Yang, Tiffany Barnes, Min Chi:
Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. AIED (1) 2022: 440-452 - [c242]Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi:
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. AIED (1) 2022: 546-552 - [c241]Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi:
The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. CogSci 2022 - [c240]Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. EDM 2022 - [c239]Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. EDM 2022 - [c238]Cynthia Hunt, Spencer Yoder, Taylor Comment, Thomas W. Price, Bita Akram, Lina Battestilli, Tiffany Barnes, Susan R. Fisk:
Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women's persistence in computer science. ICER (1) 2022: 73-83 - [c237]Ally Limke, Alexandra Milliken, Veronica Cateté, Isabella Gransbury, Amy Isvik, Thomas W. Price, Chris Martens, Tiffany Barnes:
Case Studies on the Use of Storyboarding by Novice Programmers. ITiCSE (1) 2022: 318-324 - [c236]Bita Akram, Susan R. Fisk, Spencer Yoder, Cynthia Hunt, Thomas W. Price, Lina Battestilli, Tiffany Barnes:
Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. ITiCSE (1) 2022: 526-532 - [c235]Amy Isvik, Nicholas Lytle, Veronica Cateté, Tiffany Barnes:
Characterizing High School Participants' Motivations and Outcomes in a Service-Oriented Summer Internship. Koli Calling 2022: 9:1-9:12 - [c234]Haley Crews, Tiffany Barnes, Josh Pollock, Susan R. Fisk, Jamie Payton, Tom McKlin, Audrey Rorrer, Rachel Harred, Veronica Cateté:
Investigating Impacts of STARS Program Components on Persistence in Computing for Black and White College Students. RESPECT 2022: 23-30 - [c233]Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Designing a Dashboard for Student Teamwork Analysis. SIGCSE (1) 2022: 446-452 - [c232]Wengran Wang, Audrey Le Meur, Mahesh Bobbadi, Bita Akram, Tiffany Barnes, Chris Martens, Thomas W. Price:
Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. SIGCSE (1) 2022: 619-625 - [c231]Michael Ball, Lauren Mock, Dan Garcia, Tiffany Barnes, Marnie Hill, Mary Fries, Pamela Fox, Yuan Garcia:
Beauty and Joy of Computing: AP CS Principles & Middle School Curriculum. SIGCSE (2) 2022: 1195 - [c230]Veronica Cateté, Lauren Alvarez, Shuchi Grover, Isabella Gransbury, Brian Broll, Madeline Drayton, Audrey Coats, April Collins, Ákos Lédeczi, Tiffany Barnes:
Computer Science Frontiers: New Curricula to Advance Female Interest in Computing. SIGCSE (2) 2022: 1196 - [c229]Susan R. Fisk, Cynthia Hunt, Lina Battestilli, Bita Akram, Tiffany Barnes, Thomas W. Price, Spencer Yoder:
Automating Personalized Feedback to Improve Students' Persistence in Computing. SIGCSE (2) 2022: 1197 - [c228]Amy Isvik, Veronica Cateté, Lina Battestilli, Tiffany Barnes, Jamie Payton, Chelsea Zackey:
STARS Ignite: A Program for Supporting Professors in Organizing Student Cohorts for Conferences. SIGCSE (2) 2022: 1200 - [c227]Wengran Wang, Gordon Fraser, Mahesh Bobbadi, Benyamin T. Tabarsi, Tiffany Barnes, Chris Martens, Shuyin Jiao, Thomas W. Price:
Pinpoint: A Record, Replay, and Extract System to Support Code Comprehension and Reuse. VL/HCC 2022: 1-10 - [e8]Veronica Cateté, Stacey Sexton, Tiffany Barnes, Kinnis Gosha, Jamie Payton:
Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology, RESPECT 2022, Baltimore, MD, USA, May 23-24, 2022. IEEE 2022, ISBN 978-1-6654-7114-5 [contents] - [i17]Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. CoRR abs/2206.03545 (2022) - [i16]Mehak Maniktala, Min Chi, Tiffany Barnes:
Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance. CoRR abs/2207.03025 (2022) - [i15]Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes:
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving. CoRR abs/2208.04696 (2022) - [i14]Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes:
A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response. CoRR abs/2208.05326 (2022) - 2021
- [j47]Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi:
Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. Int. J. Artif. Intell. Educ. 31(1): 154-155 (2021) - [c226]Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
Evaluating Critical Reinforcement Learning Framework in the Field. AIED (1) 2021: 215-227 - [c225]Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi:
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. AIED (1) 2021: 356-368 - [c224]Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi:
Preparing Unprepared Students For Future Learning. CogSci 2021 - [c223]Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price:
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. EDM 2021 - [c222]Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price:
Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving. EDM 2021 - [c221]Zhikai Gao, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Automatically classifying student help requests: a multi-year analysis. EDM 2021 - [c220]Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi:
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. EDM 2021 - [c219]Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price:
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. EDM 2021 - [c218]Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price:
Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs. EDM 2021 - [c217]Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price:
Execution-Trace-Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs (Full Paper). EDM (Workshops) 2021 - [c216]Alexandra Milliken, Veronica Cateté, Ally Limke, Isabella Gransbury, Hannah E. Chipman, Yihuan Dong, Tiffany Barnes:
Exploring and Influencing Teacher Grading for Block-based Programs through Rubrics and the GradeSnap Tool. ICER 2021: 101-114 - [c215]Yihuan Dong, Preya Shabrina, Samiha Marwan, Tiffany Barnes:
You Really Need Help: Exploring Expert Reasons for Intervention During Block-based Programming Assignments. ICER 2021: 334-346 - [c214]Amy Isvik, Veronica Cateté, Tiffany Barnes:
Investigating the Impact of Computing vs Pedagogy Experience in Novices Creation of Computing-Infused Curricula. ITiCSE (1) 2021: 255-261 - [c213]Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. ITiCSE (1) 2021: 394-400 - [c212]Samiha Marwan, Preya Shabrina, Alex Milliken, Ian Menezes, Veronica Cateté, Thomas W. Price, Tiffany Barnes:
Promoting Students' Progress-Monitoring Behavior during Block-Based Programming. Koli Calling 2021: 8:1-8:10 - [c211]Amy Isvik, Veronica Cateté, Dave Bell, Isabella Gransbury, Tiffany Barnes:
Infusing Computing: Moving a Service Oriented Internship Program Online. RESPECT 2021: 1-5 - [c210]Amy Isvik, Veronica Cateté, Erynn Elmore, Tiffany Barnes:
Examining Equity in Computing-Infused Lessons Made by Novices. RESPECT 2021: 1-5 - [c209]Dan Garcia, Tiffany Barnes, Art Lopez, Chinma Uche, Jill Westerlund:
Technology We Can't Live Without!, Revisited. SIGCSE 2021: 138-139 - [c208]Alexandra Milliken, Wengran Wang, Veronica Cateté, Sarah Martin, Neeloy Gomes, Yihuan Dong, Rachel Harred, Amy Isvik, Tiffany Barnes, Thomas W. Price, Chris Martens:
PlanIT! A New Integrated Tool to Help Novices Design for Open-ended Projects. SIGCSE 2021: 232-238 - [c207]Audrey Rorrer, David Pugalee, Callie Edwards, Danielle Boulden, Mary Lou Maher, Lijuan Cao, Mohsen Dorodchi, Veronica Cateté, David Frye, Tiffany Barnes, Eric N. Wiebe:
The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships. SIGCSE 2021: 753-759 - [c206]Robin Jocius, Deepti Joshi, Jennifer L. Albert, Tiffany Barnes, Richard Robinson, Veronica Cateté, Yihuan Dong, Melanie Blanton, Ian O'Byrne, Ashley Andrews:
The Virtual Pivot: Transitioning Computational Thinking PD for Middle and High School Content Area Teachers. SIGCSE 2021: 1198-1204 - [c205]Amy Isvik, Tiffany Barnes, Jamie Payton, Veronica Cateté, Lina Battestilli:
STARS Ignite: A Program for Supporting Professors in Organizing Student Cohorts for Conferences. SIGCSE 2021: 1349 - [c204]Marnie Hill, Dan Garcia, Tiffany Barnes, Lauren Mock, Michael Ball, Amy Isvik, Dave Bell:
Teaching with the Beauty and Joy of Computing - AP CSP and More! SIGCSE 2021: 1352 - [c203]Madeline Hinckle, Veronica Cateté, Nicholas Lytle, Tiffany Barnes, Eric N. Wiebe:
Agile Curriculum Development: Computational Modeling COVID-19. SIGCSE 2021: 1377 - [c202]Ruth Okoilu Akintunde, Ally Limke, Tiffany Barnes, Sarah Heckman, Collin F. Lynch:
PEDI - Piazza Explorer Dashboard for Intervention. VL/HCC 2021: 1-4 - [c201]Brian Broll, Ákos Lédeczi, Gordon Stein, Devin C. Jean, Corey E. Brady, Shuchi Grover, Veronica Cateté, Tiffany Barnes:
Removing the Walls Around Visual Educational Programming Environments. VL/HCC 2021: 1-9 - [i13]Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes:
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor. CoRR abs/2102.05741 (2021) - [i12]Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Novices' Learning Barriers When Using Code Examples in Open-Ended Programming. CoRR abs/2104.11806 (2021) - [i11]Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Designing a Dashboard for Student Teamwork Analysis. CoRR abs/2112.04465 (2021) - 2020
- [j46]Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi:
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. Int. J. Artif. Intell. Educ. 30(4): 637-667 (2020) - [j45]Tiffany Barnes, Jamie Payton, Alicia Nicki Washington, Felesia Stukes, Alan Peterfreund, Sarah Dunton:
Featured Research on Equity and Sustained Participation in Engineering, Computing, and Technology. Comput. Sci. Eng. 22(5): 4-6 (2020) - [c200]Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi:
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies. AIED (1) 2020: 472-485 - [c199]Christa Cody, Mehak Maniktala, David Warren, Min Chi, Tiffany Barnes:
Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning. EDM 2020 - [c198]Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Student Teamwork on Programming Projects. What can GitHub logs show us? EDM 2020 - [c197]Mehak Maniktala, Tiffany Barnes, Min Chi:
Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving. EDM 2020 - [c196]Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi:
What Time is It? Student Modeling Needs to Know. EDM 2020 - [c195]Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes:
Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices. CSEDM@EDM 2020 - [c194]Preya Shabrina, Samiha Marwan, Min Chi, Thomas W. Price, Tiffany Barnes:
The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond. CSEDM@EDM 2020 - [c193]Wengran Wang, Yudong Rao, Yang Shi, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price:
Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors. CSEDM@EDM 2020 - [c192]Samiha Marwan, Ge Gao, Susan R. Fisk, Thomas W. Price, Tiffany Barnes:
Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science. ICER 2020: 194-203 - [c191]Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). IJCAI 2020: 4691-4695 - [c190]Shuchi Grover, Veronica Cateté, Tiffany Barnes, Marnie Hill, Ákos Lédeczi, Brian Broll:
FIRST Principles to Design for Online, Synchronous High School CS Teacher Training and Curriculum Co-Design. Koli Calling 2020: 21:1-21:5 - [c189]Veronica Cateté, Lauren Alvarez, Amy Isvik, Alexandra Milliken, Marnie Hill, Tiffany Barnes:
Aligning Theory and Practice in Teacher Professional Development for Computer Science. Koli Calling 2020: 22:1-22:11 - [c188]Veronica Cateté, Amy Isvik, Tiffany Barnes:
Infusing Computing: A Scaffolding and Teacher Accessibility Analysis of Computing Lessons Designed by Novices. Koli Calling 2020: 36:1-36:11 - [c187]Preya Shabrina, Ruth Okoilu Akintunde, Mehak Maniktala, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
Peeking through the classroom window: a detailed data-driven analysis on the usage of a curriculum integrated math game in authentic classrooms. LAK 2020: 625-634 - [c186]Ruth Okoilu Akintunde, Preya Shabrina, Veronica Cateté, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
Data-informed curriculum sequences for a curriculum-integrated game. LAK 2020: 635-644 - [c185]Danielle Boulden, Callie Edwards, Veronica Cateté, Nicholas Lytle, Tiffany Barnes, Eric N. Wiebe, Dave Frye:
Creating a School-wide CS/CT-focused STEM Ecosystem to Address Access Barriers. RESPECT 2020: 1-2 - [c184]Veronica Cateté, Dave Bell, Amy Isvik, Nicholas Lytle, Yihuan Dong, Tiffany Barnes:
Bridge to Computing: An outreach program for at-risk young men. RESPECT 2020: 1-2 - [c183]Amy Isvik, Veronica Cateté, Tiffany Barnes:
FLAMES: A Socially Relevant Computing Summer Internship for High School Students. RESPECT 2020: 1-4 - [c182]Nicholas Lytle, Alexandra Milliken, Veronica Cateté, Tiffany Barnes:
Investigating Different Assignment Designs to Promote Collaboration in Block-Based Environments. SIGCSE 2020: 832-838 - [c181]Robin Jocius, Deepti Joshi, Yihuan Dong, Richard Robinson, Veronica Cateté, Tiffany Barnes, Jennifer L. Albert, Ashley Andrews, Nicholas Lytle:
Code, Connect, Create: The 3C Professional Development Model to Support Computational Thinking Infusion. SIGCSE 2020: 971-977 - [c180]Lijuan Cao, Audrey Rorrer, David Pugalee, Mary Lou Maher, Mohsen Dorodchi, David Frye, Tiffany Barnes, Eric N. Wiebe:
Work in Progress Report: A STEM EcoSystem Approach to CS/CT for All in a Middle School. SIGCSE 2020: 999-1004 - [c179]Michael Ball, Lauren Mock, Dan Garcia, Tiffany Barnes, Marnie Hill, Alexandra Milliken, Joshua Paley, Efrain Lopez, Jason Bohrer:
The Beauty and Joy of Computing Curriculum and Teacher Professional Development. SIGCSE 2020: 1398 - [c178]Mehak Maniktala, Tiffany Barnes:
Deep Thought: An Intelligent Logic Tutor for Discrete Math. SIGCSE 2020: 1418 - [c177]Hannah E. Chipman, Marnie Hill, Tiffany Barnes:
The AP Computer Science Principles Exam: Teacher Reflections. SIGCSE 2020: 1421 - [c176]Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. UMAP 2020: 284-292 - [c175]Amy Isvik, Veronica Cateté, Lauren Alvarez, Nicholas Lytle, Tiffany Barnes:
Exploring Differences Between Student and Teacher Created Snap! Projects. VL/HCC 2020: 1-5 - [c174]Alexandra Milliken, Veronica Cateté, Amy Isvik, Tiffany Barnes:
Poster: Designing GradeSnap for Block-Based Code. VL/HCC 2020: 1-2 - [c173]Veronica Cateté, Nicholas Lytle, Danielle Boulden, Madeline Hinckle, Eric N. Wiebe, Tiffany Barnes:
A block-based modeling curriculum for teaching middle grade science students about Covid-19. WiPSCE 2020: 36:1-36:2 - [i10]Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Student Teamwork on Programming Projects: What can GitHub logs show us? CoRR abs/2008.11262 (2020) - [i9]Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi:
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. CoRR abs/2009.13371 (2020) - [i8]Mehak Maniktala, Christa Cody, Amy Isvik, Nicholas Lytle, Min Chi, Tiffany Barnes:
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help. CoRR abs/2010.04124 (2020)
2010 – 2019
- 2019
- [j44]Thomas W. Price, Yihuan Dong, Rui Zhi, Benjamin Paaßen, Nicholas Lytle, Veronica Cateté, Tiffany Barnes:
A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. Int. J. Artif. Intell. Educ. 29(3): 368-395 (2019) - [j43]Alicia Nicki Washington, Tiffany Barnes, Jamie Payton, Sarah Dunton, Felesia Stukes, Alan Peterfreund:
RESPECT 2019: Yes, We Still Need to Talk About Diversity in Computing. Comput. Sci. Eng. 21(1): 79-83 (2019) - [j42]Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses. IEEE Trans. Learn. Technol. 12(2): 184-197 (2019) - [c172]Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Hierarchical Reinforcement Learning for Pedagogical Policy Induction. AIED (1) 2019: 544-556 - [c171]Zhongxiu Peddycord-Liu, Veronica Cateté, Jessica Vandenberg, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
A Field Study of Teachers Using a Curriculum-integrated Digital Game. CHI 2019: 428 - [c170]Nicholas Lytle, Veronica Cateté, Yihuan Dong, Danielle Boulden, Bita Akram, Jennifer Houchins, Tiffany Barnes, Eric N. Wiebe:
CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students. CompEd 2019: 58-64 - [c169]Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. EDM 2019 - [c168]Niki Gitinabard, Tiffany Barnes, Sarah Heckman, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. EDM 2019 - [c167]Rachel Harred, Christa Cody, Mehak Maniktala, Preya Shabrina, Tiffany Barnes, Collin F. Lynch:
How Long is Enough? Predicting Student Outcomes with Same-Day Gameplay Data in an Educational Math Game. EDM (Workshops) 2019: 60-68 - [c166]Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. EDM (Workshops) 2019: 69-78 - [c165]Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi:
Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. EDM 2019 - [c164]Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. EDM 2019 - [c163]Yiqiao Xu, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes:
What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social Connection. EDM 2019 - [c162]Rui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes:
Toward Data-Driven Example Feedback for Novice Programming. EDM 2019 - [c161]Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price:
Evaluating the Effectiveness of Parsons Problems for Block-based Programming. ICER 2019: 51-59 - [c160]Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi:
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. IJCAI 2019: 1974-1980 - [c159]Alexandra Milliken, Christa Cody, Veronica Cateté, Tiffany Barnes:
Effective Computer Science Teacher Professional Development: Beauty and Joy of Computing 2018. ITiCSE 2019: 271-277 - [c158]Yihuan Dong, Veronica Cateté, Nicholas Lytle, Amy Isvik, Tiffany Barnes, Robin Jocius, Jennifer L. Albert, Deepti Joshi, Richard Robinson, Ashley Andrews:
Infusing Computing: Analyzing Teacher Programming Products in K-12 Computational Thinking Professional Development. ITiCSE 2019: 278-284 - [c157]Nicholas Lytle, Veronica Cateté, Danielle Boulden, Yihuan Dong, Jennifer Houchins, Alexandra Milliken, Amy Isvik, Dolly Bounajim, Eric N. Wiebe, Tiffany Barnes:
Use, Modify, Create: Comparing Computational Thinking Lesson Progressions for STEM Classes. ITiCSE 2019: 395-401 - [c156]Rui Zhi, Thomas W. Price, Samiha Marwan, Alexandra Milliken, Tiffany Barnes, Min Chi:
Exploring the Impact of Worked Examples in a Novice Programming Environment. SIGCSE 2019: 98-104 - [c155]Nicholas Lytle, Mark Floryan, Tiffany Barnes:
Effects of a Pathfinding Program Visualization on Algorithm Development. SIGCSE 2019: 225-231 - [c154]Yihuan Dong, Veronica Cateté, Robin Jocius, Nicholas Lytle, Tiffany Barnes, Jennifer L. Albert, Deepti Joshi, Richard Robinson, Ashley Andrews:
PRADA: A Practical Model for Integrating Computational Thinking in K-12 Education. SIGCSE 2019: 906-912 - [c153]Yihuan Dong, Samiha Marwan, Veronica Cateté, Thomas W. Price, Tiffany Barnes:
Defining Tinkering Behavior in Open-ended Block-based Programming Assignments. SIGCSE 2019: 1204-1210 - [c152]Lina Battestilli, Sarah Korkes, Olivia Smith, Tiffany Barnes:
Using Bloom's Taxonomy to Write Effective Programming Questions for Autograding Tools. SIGCSE 2019: 1260 - [c151]Nicholas Lytle, Veronica Cateté, Amy Isvik, Danielle Boulden, Yihuan Dong, Eric N. Wiebe, Tiffany Barnes:
From 'Use' to 'Choose': Scaffolding CT Curricula and Exploring Student Choices while Programming (Practical Report). WiPSCE 2019: 18:1-18:6 - [i7]Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses. CoRR abs/1904.07328 (2019) - [i6]Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman:
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses. CoRR abs/1904.07331 (2019) - [i5]Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. CoRR abs/1905.00928 (2019) - 2018
- [j41]Tiffany Barnes, Dan Garcia:
SIGCSE symposium 2018 preview. ACM SIGCSE Bull. 50(1): 3-6 (2018) - [j40]Richard E. Ladner, Tiffany Barnes:
An interview with access computing. ACM SIGCSE Bull. 50(1): 9-11 (2018) - [j39]Tiffany Barnes, Dan Garcia:
SIGCSE symposium 2018 report. ACM SIGCSE Bull. 50(2): 2-3 (2018) - [c150]Christa Cody, Behrooz Mostafavi, Tiffany Barnes:
Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor. AIED (2) 2018: 58-62 - [c149]Scott A. Crossley, Maria-Dorinela Sirbu, Mihai Dascalu, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara:
Modeling Math Success Using Cohesion Network Analysis. AIED (2) 2018: 63-67 - [c148]Shitian Shen, Behrooz Mostafavi, Collin F. Lynch, Tiffany Barnes, Min Chi:
Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction. AIED (2) 2018: 327-331 - [c147]Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Tiffany Barnes, Collin F. Lynch, Stefan Trausan-Matu:
Exploring Online Course Sociograms Using Cohesion Network Analysis. AIED (2) 2018: 337-342 - [c146]Zhongxiu Peddycord-Liu, Rachel Harred, Sarah Karamarkovich, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where Is Learning Support Needed? AIED (1) 2018: 436-449 - [c145]Thomas W. Price, Rui Zhi, Yihuan Dong, Nicholas Lytle, Tiffany Barnes:
The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming. AIED (1) 2018: 476-490 - [c144]Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman:
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses. EDM 2018 - [c143]Yiqiao Xu, Collin F. Lynch, Tiffany Barnes:
How many friends can you make in a week?: evolving social relationships in MOOCs over time. EDM 2018 - [c142]Veronica Cateté, Nicholas Lytle, Tiffany Barnes:
Creation and validation of low-stakes rubrics for K-12 computer science. ITiCSE 2018: 63-68 - [c141]Veronica Cateté, Nicholas Lytle, Yihuan Dong, Danielle Boulden, Bita Akram, Jennifer Houchins, Tiffany Barnes, Eric N. Wiebe, James C. Lester, Bradford W. Mott, Kristy Elizabeth Boyer:
Infusing computational thinking into middle grade science classrooms: lessons learned. WiPSCE 2018: 21:1-21:6 - [e7]Tiffany Barnes, Daniel D. Garcia, Elizabeth K. Hawthorne, Manuel A. Pérez-Quiñones:
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018, Baltimore, MD, USA, February 21-24, 2018. ACM 2018 [contents] - [i4]Hengxuan Li, Collin F. Lynch, Tiffany Barnes:
Early Prediction of Course Grades: Models and Feature Selection. CoRR abs/1812.00843 (2018) - 2017
- [j38]Tiffany Barnes, Kristy Elizabeth Boyer, Sharon I-Han Hsiao, Nguyen-Thinh Le, Sergey A. Sosnovsky:
Preface for the Special Issue on AI-Supported Education in Computer Science. Int. J. Artif. Intell. Educ. 27(1): 1-4 (2017) - [j37]Behrooz Mostafavi, Tiffany Barnes:
Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements. Int. J. Artif. Intell. Educ. 27(1): 5-36 (2017) - [j36]Elizabeth Rowe, Jodi Asbell-Clarke, Ryan S. Baker, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards:
Assessing implicit science learning in digital games. Comput. Hum. Behav. 76: 617-630 (2017) - [j35]Zhongxiu Liu, Rui Zhi, Andrew Hicks, Tiffany Barnes:
Understanding problem solving behavior of 6-8 graders in a debugging game. Comput. Sci. Educ. 27(1): 1-29 (2017) - [j34]Tiffany Barnes:
Broadening participation opportunities in 2017. ACM SIGCSE Bull. 49(1): 10-11 (2017) - [j33]Tiffany Barnes:
CS for all, equity, and responsibility. ACM SIGCSE Bull. 49(2): 18 (2017) - [j32]Tiffany Barnes:
Broadening access to computer science education. ACM SIGCSE Bull. 49(4): 11-12 (2017) - [c140]Thomas W. Price, Rui Zhi, Tiffany Barnes:
Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior. AIED 2017: 311-322 - [c139]Yihuan Dong, Tiffany Barnes:
Evaluation of a Template-Based Puzzle Generator for an Educational Programming Game. AIIDE 2017: 172-178 - [c138]Zhongxiu Peddycord-Liu, Christa Cody, Sarah Kessler, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
Using Serious Game Analytics to Inform Digital Curricular Sequencing: What Math Objective Should Students Play Next? CHI PLAY 2017: 195-204 - [c137]Scott A. Crossley, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara:
Linking Language to Math Success in a Blended Course. EDM 2017 - [c136]Niki Gitinabard, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Identifying student communities in blended courses. EDM 2017 - [c135]Zhongxiu Liu, Christa Cody, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It? EDM 2017 - [c134]Collin F. Lynch, Tiffany Barnes, Linting Xue, Niki Gitinabard:
Graph-based Educational Data Mining. EDM 2017 - [c133]Thomas W. Price, Rui Zhi, Tiffany Barnes:
Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming. EDM 2017 - [c132]Yihuan Dong, Tiffany Barnes:
Evaluation of a template-based puzzle generator for an educational programming game. FDG 2017: 40:1-40:4 - [c131]Thomas W. Price, Zhongxiu Liu, Veronica Cateté, Tiffany Barnes:
Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors. ICER 2017: 127-135 - [c130]Veronica Cateté, Tiffany Barnes:
Application of the Delphi Method in Computer Science Principles Rubric Creation. ITiCSE 2017: 164-169 - [c129]Thomas W. Price, Tiffany Barnes:
Showpiece: ISnap demonstration. VL/HCC 2017: 339-340 - [e6]Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette:
Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. International Educational Data Mining Society (IEDMS) 2017 [contents] - [e5]Michael E. Caspersen, Stephen H. Edwards, Tiffany Barnes, Daniel D. Garcia:
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2017, Seattle, WA, USA, March 8-11, 2017. ACM 2017, ISBN 978-1-4503-4698-6 [contents] - [i3]Benjamin Paaßen, Barbara Hammer, Thomas William Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart:
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. CoRR abs/1708.06564 (2017) - [i2]Niki Gitinabard, Linting Xue, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
A Social Network Analysis on Blended Courses. CoRR abs/1709.10215 (2017) - [i1]Niki Gitinabard, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Identifying Student Communities in Blended Courses. CoRR abs/1710.04129 (2017) - 2016
- [j31]Tiffany Barnes, George K. Thiruvathukal:
The need for research in broadening participation. Commun. ACM 59(3): 33-34 (2016) - [j30]Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeffrey Forbes:
Guest Editors' introduction. Comput. Sci. Eng. 18(2): 6-8 (2016) - [j29]Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeffrey Forbes:
Best of RESPECT, Part 2. Comput. Sci. Eng. 18(3): 11-13 (2016) - [j28]Jamie Payton, Tiffany Barnes, Kim Buch, Audrey Rorrer, Huifang Zuo, Kinnis Gosha, Kristine S. Nagel, Nannette P. Napier, Ebrahim Randeree, Lawrence Dennis:
STARS Computing Corps: Enhancing Engagement of Underrepresented Students and Building Community in Computing. Comput. Sci. Eng. 18(3): 44-57 (2016) - [j27]Jamie Payton, Tiffany Barnes, Audrey Rorrer, Kim Buch, Kristine S. Nagel:
Launching STARS Computing Corps: Engaging Faculty and Student Leaders to Broaden Participation. Inroads 7(4): 61-64 (2016) - [j26]Tiffany Barnes:
Learn about broadening participation: research at RESPECT'16. ACM SIGCSE Bull. 48(3): 5 (2016) - [j25]Tiffany Barnes:
Highlights of broadening participation research at RESPECT'16. ACM SIGCSE Bull. 48(4): 5 (2016) - [j24]Peter Brusilovsky, Mike Sharples, Gustavo R. Alves, Tiffany Barnes, Sherry Y. Chen, Carol H. C. Chu, Hendrik Drachsler, Seiji Isotani, Euan Lindsay, Xavier Ochoa, Mykola Pechenizkiy, Ma. Mercedes T. Rodrigo, Cristóbal Romero, Sergey A. Sosnovsky, Stefaan Ternier, Katrien Verbert:
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue. IEEE Trans. Learn. Technol. 9(1): 1-4 (2016) - [c128]Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi:
The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions. CogSci 2016 - [c127]Andrew Hicks, Zhongxiu Liu, Michael Eagle, Tiffany Barnes:
Measuring Gameplay Affordances of User-Generated Content in an Educational Game. EDM 2016: 78-85 - [c126]Zhongxiu Liu, Rebecca Brown, Collin F. Lynch, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara:
MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis. EDM 2016: 127-134 - [c125]Thomas W. Price, Yihuan Dong, Tiffany Barnes:
Generating Data-driven Hints for Open-ended Programming. EDM 2016: 191-198 - [c124]Behrooz Mostafavi, Tiffany Barnes:
Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving. EDM 2016: 460-465 - [c123]Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards:
Validating Game-based Measures of Implicit Science Learning. EDM 2016: 490-495 - [c122]Thomas W. Price, Neil C. C. Brown, Dragan Lipovac, Tiffany Barnes, Michael Kölling:
Evaluation of a Frame-based Programming Editor. ICER 2016: 33-42 - [c121]Veronica Cateté, Erin Snider, Tiffany Barnes:
Developing a Rubric for a Creative CS Principles Lab. ITiCSE 2016: 290-295 - [c120]Zhongxiu Liu, Behrooz Mostafavi, Tiffany Barnes:
Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor. ITS 2016: 347-353 - [c119]Behrooz Mostafavi, Tiffany Barnes:
Data-driven proficiency profiling: proof of concept. LAK 2016: 324-328 - [c118]Drew Hicks, Michael Eagle, Elizabeth Rowe, Jodi Asbell-Clarke, Teon Edwards, Tiffany Barnes:
Using game analytics to evaluate puzzle design and level progression in a serious game. LAK 2016: 440-448 - [c117]Thomas W. Price, Veronica Cateté, Jennifer L. Albert, Tiffany Barnes, Daniel D. Garcia:
Lessons Learned from "BJC" CS Principles Professional Development. SIGCSE 2016: 467-472 - [c116]Jamie Payton, Tiffany Barnes:
How to Launch a STARS Computing Corps Cohort to Improve Retention and Broaden Participation in Computing (Abstract Only). SIGCSE 2016: 714 - [c115]Daniel D. Garcia, Tiffany Barnes, Michael Ball, Emil Biga, Josh Paley, Marnie Hill, Nathan Mattix, Parisa Safa, Sean Morris, Shawn Kenner:
AP CS Principles and The Beauty and Joy of Computing Curriculum (Abstract Only). SIGCSE 2016: 718 - [c114]Tiffany Barnes, Jamie Payton, Daniel D. Garcia:
Scaling up for CS10K: Teaching and Supporting New Computer Science High School Teachers (Abstract Only). SIGCSE 2016: 720 - [e4]Tiffany Barnes, Min Chi, Mingyu Feng:
Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016. International Educational Data Mining Society (IEDMS) 2016 [contents] - 2015
- [j23]Tiffany Barnes, Oliver Bown, Michael Buro, Michael Cook, Arne Eigenfeldt, Héctor Muñoz-Avila, Santiago Ontañón, Philippe Pasquier, Noriko Tomuro, Robert Michael Young, Alexander Zook:
Reports of the Workshops Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 36(1): 99-102 (2015) - [j22]Jamie Payton, Tiffany Barnes, Kim Buch, Audrey Rorrer, Huifang Zuo:
The effects of integrating service learning into computer science: an inter-institutional longitudinal study. Comput. Sci. Educ. 25(3): 311-324 (2015) - [j21]Dan Garcia, Brian Harvey, Tiffany Barnes:
The beauty and joy of computing. Inroads 6(4): 71-79 (2015) - [j20]Tiffany Barnes, George K. Thiruvathukal:
Broadening participation and RESPECT: join our new professional organization and conference! ACM SIGCSE Bull. 47(1): 7 (2015) - [j19]Lisa C. Kaczmarczyk, Tiffany Barnes:
SIGCSE BP: enrollments and diversity at odds? ACM SIGCSE Bull. 47(2): 8 (2015) - [j18]Tiffany Barnes:
SIGCSE BP: broadening participation gets RESPECT. ACM SIGCSE Bull. 47(3): 8 (2015) - [j17]Tiffany Barnes, Mark Guzdial:
Highlights of broadening participation research at RESPECT'15. ACM SIGCSE Bull. 47(4): 3 (2015) - [c113]Behrooz Mostafavi, Guojing Zhou, Collin F. Lynch, Min Chi, Tiffany Barnes:
Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor. AIED 2015: 726-729 - [c112]Michael Eagle, Tiffany Barnes:
Exploring Missing Behaviors with Region-Level Interaction Network Coverage. AIED 2015: 831-835 - [c111]Zhongxiu Liu, Tiffany Barnes:
Building Compiler-Student Friendship. AIED 2015: 844-847 - [c110]Thomas W. Price, Tiffany Barnes:
Creating Data-Driven Feedback for Novices in Goal-Driven Programming Projects. AIED 2015: 856-859 - [c109]Michael Eagle, Elizabeth Rowe, Drew Hicks, Rebecca Brown, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards:
Measuring Implicit Science Learning with Networks of Player-Game Interactions. CHI PLAY 2015: 499-504 - [c108]Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi:
The Impact of Granularity on Worked Examples and Problem Solving. CogSci 2015 - [c107]Michael Eagle, Andrew Hicks, Tiffany Barnes:
Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments. EDM 2015: 342-349 - [c106]Rebecca Brown, Collin F. Lynch, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara:
Good Communities and Bad Communities: Does Membership Affect Performance? EDM 2015: 612-613 - [c105]Rebecca Brown, Collin F. Lynch, Yuan Wang, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan Shaun Baker, Yoav Bergner, Danielle S. McNamara:
Communities of Performance & Communities of Preference. EDM (Workshops) 2015 - [c104]Andrew Hicks, Yihuan Dong, Rui Zhi, Veronica Cateté, Tiffany Barnes:
BOTS: Selecting Next-Steps from Player Traces in a Puzzle Game. EDM (Workshops) 2015 - [c103]Collin F. Lynch, Thomas W. Price, Min Chi, Tiffany Barnes:
Using the Hint Factory to Compare Model-Based Tutoring Systems. EDM (Workshops) 2015 - [c102]Behrooz Mostafavi, Zhongxiu Liu, Tiffany Barnes:
Data-Driven Proficiency Profiling. EDM 2015: 335-341 - [c101]Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, Yoav Bergner:
Language to Completion: Success in an Educational Data Mining Massive Open Online Class. EDM 2015: 388-391 - [c100]Michael Eagle, Rebecca Brown, Elizabeth Rowe, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards:
Exploring Problem-Solving Behavior in an Optics Game. EDM 2015: 584-585 - [c99]Thomas W. Price, Tiffany Barnes:
An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem. EDM (Workshops) 2015 - [c98]Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi:
An Improved Data-Driven Hint Selection Algorithm for Probability Tutors. EDM 2015: 610-611 - [c97]Thomas W. Price, Tiffany Barnes:
Comparing Textual and Block Interfaces in a Novice Programming Environment. ICER 2015: 91-99 - [c96]Michael Eagle, Andrew Hicks, Barry W. Peddycord III, Tiffany Barnes:
Exploring networks of problem-solving interactions. LAK 2015: 21-30 - [c95]Behrooz Mostafavi, Michael Eagle, Tiffany Barnes:
Towards data-driven mastery learning. LAK 2015: 270-274 - [c94]Jennifer L. Albert, Barry W. Peddycord III, Tiffany Barnes:
Evaluating Scratch Programs to Assess Computational Thinking in a Science Lesson (Abstract Only). SIGCSE 2015: 679 - [c93]Veronica Cateté, Barry W. Peddycord III, Tiffany Barnes:
Augmenting introductory Computer Science Classes with GameMaker and Mobile Apps (Abstract Only). SIGCSE 2015: 709 - 2014
- [j16]Tiffany Barnes, Sue Fitzgerald:
November 2013 special projects grant awards. ACM SIGCSE Bull. 46(1): 9 (2014) - [c92]Veronica Cateté, Andrew Hicks, Tiffany Barnes, Collin F. Lynch:
Snag'em: Graph Data Mining for a Social Networking Game. EDM (Workshops) 2014 - [c91]Michael Eagle, Tiffany Barnes:
Exploring Differences in Problem Solving with Data-Driven Approach Maps. EDM 2014: 76-83 - [c90]Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, Tiffany Barnes:
Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor. EDM 2014: 249-252 - [c89]Michael Eagle, Tiffany Barnes:
Data-Driven Feedback Beyond Next-Step Hints. EDM 2014: 444-446 - [c88]Behrooz Mostafavi, Tiffany Barnes:
Evaluation of Logic Proof Problem Difficulty Through Student Performance Data. EDM (Workshops) 2014 - [c87]Barry W. Peddycord III, Andrew Hicks, Tiffany Barnes:
Generating Hints for Programming Problems Using Intermediate Output. EDM 2014: 92-98 - [c86]Vinay Sheshadri, Collin F. Lynch, Tiffany Barnes:
InVis: An EDM Tool For Graphical Rendering And Analysis Of Student Interaction Data. EDM (Workshops) 2014 - [c85]Tiffany Barnes, Ian Bogost:
Foreword. FDG 2014 - [c84]Andrew Hicks, Veronica Cateté, Tiffany Barnes:
Part of the game: Changing level creation to identify and filter low quality user-generated levels. FDG 2014 - [c83]Andrea Nickel, Jamie Payton, Tiffany Barnes, Erik Wikstrom, Maybellin Burgos, Zachary Wartell, Mykel Pendergrass, Nate Blanchard, Brian Thomas:
Balancing physical and cognitive challenge: A study of players' psychological responses to exergame play. FDG 2014 - [c82]Michael Eagle, Tiffany Barnes:
Survival Analysis on Duration Data in Intelligent Tutors. Intelligent Tutoring Systems 2014: 178-187 - [c81]Andrew Hicks, Barry W. Peddycord III, Tiffany Barnes:
Building Games to Learn from Their Players: Generating Hints in a Serious Game. Intelligent Tutoring Systems 2014: 312-317 - [c80]Michael Eagle, Tiffany Barnes:
Modeling Student Dropout in Tutoring Systems. Intelligent Tutoring Systems 2014: 676-678 - [c79]Veronica Cateté, Kathleen Wassell, Tiffany Barnes:
Use and development of entertainment technologies in after school STEM program. SIGCSE 2014: 163-168 - [c78]Jamie Payton, Tiffany Barnes, Jason Black, Cheryl D. Seals:
Engaging college students in service learning to grow the K-12 computing pipeline and prepare the 21st century workforce (abstract only). SIGCSE 2014: 733 - [c77]Tiffany Barnes, Veronica Cateté, Andrew Hicks, Barry W. Peddycord III:
Making games and apps in introductory computer science (abstract only). SIGCSE 2014: 739 - [c76]Daniel D. Garcia, Brian Harvey, Tiffany Barnes, Daniel Armendariz, Jon McKinsey, Zachary MacHardy, Omoju Miller, Barry W. Peddycord III, Eugene Lemon, Sean Morris, Josh Paley:
AP CS principles and the beauty and joy of computing curriculum (abstract only). SIGCSE 2014: 746 - [c75]Brian Harvey, Daniel D. Garcia, Tiffany Barnes, Nathaniel Titterton, Omoju Miller, Daniel Armendariz, Jon McKinsey, Zachary MacHardy, Eugene Lemon, Sean Morris, Josh Paley:
Snap! (build your own blocks) (abstract only). SIGCSE 2014: 749 - [e3]Michael Mateas, Tiffany Barnes, Ian Bogost:
Proceedings of the 9th International Conference on the Foundations of Digital Games, FDG 2014, Liberty of the Seas, Caribbean, April 3-7, 2014. Society for the Advancement of the Science of Digital Games 2014, ISBN 978-0-9913982-2-5 [contents] - 2013
- [j15]John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy:
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. Int. J. Artif. Intell. Educ. 22(1-2): 3-17 (2013) - [c74]Michael Eagle, Tiffany Barnes, Matthew W. Johnson:
Effects of Automatically Generated Hints on Time in a Logic Tutor. AIED Workshops 2013 - [c73]Ilya M. Goldin, Taylor Martin, Ryan Shaun Joazeiro de Baker, Vincent Aleven, Tiffany Barnes:
Formative Feedback in Interactive Learning Environments. AIED 2013: 946 - [c72]Matthew W. Johnson, Michael Eagle, Tiffany Barnes:
InVis: An Interactive Visualization Tool for Exploring Interaction Networks. EDM 2013: 82-89 - [c71]Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes:
An Algorithm for Reducing the Complexity of Interaction Networks. EDM 2013: 248-251 - [c70]Michael Eagle, Tiffany Barnes:
Evaluation of Automatically Generated Hint Feedback. EDM 2013: 372-374 - [c69]Behrooz Mostafavi, Tiffany Barnes:
Determining Problem Selection for a Logic Proof Tutor. EDM 2013: 387-389 - [c68]Amy Shannon, Acey Kreisler Boyce, Chitra Gadwal, Tiffany Barnes:
Effective practices in game tutorial systems. FDG 2013: 338-345 - [c67]Michael Eagle, Matthew W. Johnson, Tiffany Barnes, Acey Kreisler Boyce:
Exploring player behavior with visual analytics. FDG 2013: 380-383 - [c66]Acey Kreisler Boyce, Amy Shannon, Chitra Gadwal, Tiffany Barnes:
BeadLoom Game. FDG 2013: 390-392 - [c65]Wanda Eugene, Tiffany Barnes, Jennifer Wilson:
Math Fluency through Game Design. HCI (10) 2013: 189-198 - [c64]Aaron Springer, Matthew W. Johnson, Michael Eagle, Tiffany Barnes:
Using sequential pattern mining to increase graph comprehension in intelligent tutoring system student data (abstract only). SIGCSE 2013: 732 - [c63]Brian Harvey, Daniel D. Garcia, Tiffany Barnes, Nathaniel Titterton, Daniel Armendariz, Luke Segars, Eugene Lemon, Sean Morris, Josh Paley:
SNAP! (build your own blocks) (abstract only). SIGCSE 2013: 759 - [c62]Daniel D. Garcia, Brian Harvey, Tiffany Barnes, Nathaniel Titterton, Daniel Armendariz, Luke Segars, Eugene Lemon, Sean Morris, Josh Paley:
AP CS principles and the beauty and joy of computing curriculum (abstract only). SIGCSE 2013: 761 - [c61]Tiffany Barnes, Acey Kreisler Boyce, Veronica Cateté, Katelyn Doran, Andrew Hicks, Leslie Keller:
Augmenting introductory computer science classes with GameMaker and mobile apps (abstract only). SIGCSE 2013: 767 - 2012
- [j14]Lawrence Snyder, Tiffany Barnes, Dan Garcia, Jody Paul, Beth Simon:
The first five computer science principles pilots: summary and comparisons. Inroads 3(2): 54-57 (2012) - [j13]Tiffany Barnes:
CS principles pilot at University of North Carolina at Charlotte. Inroads 3(2): 64-66 (2012) - [j12]Lawrence Snyder, Tiffany Barnes, Dan Garcia, Jody Paul, Beth Simon:
Analysis. Inroads 3(2): 69-71 (2012) - [j11]Tiffany Barnes:
CS Ed week showcase at UNC Charlotte. ACM SIGCSE Bull. 44(1): 7 (2012) - [c60]Michael Eagle, Matthew W. Johnson, Tiffany Barnes:
Interaction Networks: Generating High Level Hints Based on Network Community Clusterings. EDM 2012: 164-167 - [c59]Eve Powell, Rachel Brinkman, Tiffany Barnes, Veronica Cateté:
Table tilt: making friends fast. FDG 2012: 242-245 - [c58]Katelyn Doran, Acey Kreisler Boyce, Andrew Hicks, Jamie Payton, Tiffany Barnes:
Creation of a game-based digital layer for increased museum engagement among digital natives. GAS@ICSE 2012: 31-34 - [c57]Acey Kreisler Boyce, Antoine Campbell, Shaun Pickford, Dustin Culler, Tiffany Barnes:
Maximizing learning and guiding behavior in free play user generated content environments. ITiCSE 2012: 10-15 - [c56]Katelyn Doran, Acey Kreisler Boyce, Samantha L. Finkelstein, Tiffany Barnes:
Outreach for improved student performance: a game design and development curriculum. ITiCSE 2012: 209-214 - [c55]Wei Jin, Tiffany Barnes, John C. Stamper, Michael John Eagle, Matthew W. Johnson, Lorrie Lehmann:
Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor. ITS 2012: 304-309 - [c54]Matthew W. Johnson, Tomoko Okimoto, Tiffany Barnes:
Leveraging Game Design to Promote Effective User Behavior of Intelligent Tutoring Systems. ITS 2012: 597-599 - [c53]Lorrie Lehmann, Dale-Marie Wilson, Tiffany Barnes:
Using Individualized Feedback and Guided Instruction via a Virtual Human Agent in an Introductory Computer Programming Course. ITS 2012: 612-614 - [c52]Michael John Eagle, Tiffany Barnes:
Data-Driven Method for Assessing Skill-Opportunity Recognition in Open Procedural Problem Solving Environments. ITS 2012: 615-617 - [c51]Michael John Eagle, Tiffany Barnes:
A learning objective focused methodology for the design and evaluation of game-based tutors. SIGCSE 2012: 99-104 - [c50]Daniel D. Garcia, Brian Harvey, Tiffany Barnes, Luke Segars, Eugene Lemon, Sean Morris, Josh Paley:
AP CS principles and the beauty and joy of computing curriculum (abstract only). SIGCSE 2012: 660 - [c49]Brian Harvey, Tiffany Barnes, Luke Segars:
AP CS principles and the 'beauty and joy of computing' curriculum (abstract only). SIGCSE 2012: 677 - [c48]Andrea Nickel, Hugh Kinsey, Heidi Haack, Mykel Pendergrass, Tiffany Barnes:
Interval training with Astrojumper. VR 2012: 161-162 - 2011
- [j10]John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Enhancing the Automatic Generation of Hints with Expert Seeding. Int. J. Artif. Intell. Educ. 21(1-2): 153-167 (2011) - [j9]Sabarish V. Babu, Evan A. Suma, Larry F. Hodges, Tiffany Barnes:
Learning Cultural Conversational Protocols with Immersive Interactive Virtual Humans. Int. J. Virtual Real. 10(4): 25-35 (2011) - [j8]Teresa A. Dahlberg, Tiffany Barnes, Kim Buch, Audrey Rorrer:
The STARS Alliance: Viable Strategies for Broadening Participation in Computing. ACM Trans. Comput. Educ. 11(3): 18:1-18:25 (2011) - [j7]Samantha L. Finkelstein, Andrea Nickel, Zachary Lipps, Tiffany Barnes, Zachary Wartell, Evan A. Suma:
Astrojumper: Motivating Exercise with an Immersive Virtual Reality Exergame. Presence Teleoperators Virtual Environ. 20(1): 78-92 (2011) - [c47]John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy:
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. AIED 2011: 345-352 - [c46]Acey Kreisler Boyce, Katie Doran, Antoine Campbell, Shaun Pickford, Dustin Culler, Tiffany Barnes:
Social user generated content's effect on creativity in educational games. Creativity & Cognition 2011: 317-318 - [c45]Behrooz Mostafavi, Tiffany Barnes, Marvin J. Croy:
Automatic Generation of Proof Problems in Deductive Logic. EDM 2011: 289-294 - [c44]Matthew W. Johnson, Michael Eagle, Leena Joseph, Tiffany Barnes:
The EDM Vis Tool. EDM 2011: 349-350 - [c43]Acey Kreisler Boyce, Katelyn Doran, Antoine Campbell, Shaun Pickford, Dustin Culler, Tiffany Barnes:
BeadLoom Game: adding competitive, user generated, and social features to increase motivation. FDG 2011: 139-146 - [c42]D. Scott McCrickard, DeMarcus Townsend, Woodrow W. Winchester, Tiffany Barnes:
Leveraging Card-Based Collaborative Activities as Culturally Situated Design Tools. HCI (22) 2011: 232-236 - [c41]Acey Kreisler Boyce, Antoine Campbell, Shaun Pickford, Dustin Culler, Tiffany Barnes:
Experimental evaluation of BeadLoom game: how adding game elements to an educational tool improves motivation and learning. ITiCSE 2011: 243-247 - [c40]Owen L. Astrachan, Tiffany Barnes, Daniel D. Garcia, Jody Paul, Beth Simon, Larry Snyder:
CS principles: piloting a new course at national scale. SIGCSE 2011: 397-398 - [c39]Eve Powell, Felesia Stukes, Tiffany Barnes, Heather Richter Lipford:
Snag'em: Creating Community Connections through Games. SocialCom/PASSAT 2011: 591-594 - 2010
- [j6]Teresa A. Dahlberg, Tiffany Barnes, Kim Buch, Karen Bean:
Applying service learning to computer science: attracting and engaging under-represented students. Comput. Sci. Educ. 20(3): 169-180 (2010) - [j5]Tiffany Barnes, John C. Stamper:
Automatic Hint Generation for Logic Proof Tutoring Using Historical Data. J. Educ. Technol. Soc. 13(1): 3-12 (2010) - [c38]Samantha L. Finkelstein, Andrea Nickel, Tiffany Barnes, Evan A. Suma:
Astrojumper: motivating children with autism to exercise using a VR game. CHI Extended Abstracts 2010: 4189-4194 - [c37]Eve Powell, Samantha L. Finkelstein, Andrew Hicks, Thomas Phifer, Sandhya Rani Charugulla, Christie Thornton, Tiffany Barnes, Teresa A. Dahlberg:
SNAG: social networking games to facilitate interaction. CHI Extended Abstracts 2010: 4249-4254 - [c36]Matthew W. Johnson, Tiffany Barnes:
EDM Visualization Tool: Watching Students Learn. EDM 2010: 297-298 - [c35]John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems. EDM 2010: 327-328 - [c34]Acey Kreisler Boyce, Tiffany Barnes:
BeadLoom Game: using game elements to increase motivation and learning. FDG 2010: 25-31 - [c33]Amanda Chaffin, Tiffany Barnes:
Lessons from a course on serious games research and prototyping. FDG 2010: 32-39 - [c32]Andrea Nickel, Tiffany Barnes:
Games for CS education: computer-supported collaborative learning and multiplayer games. FDG 2010: 274-276 - [c31]Samantha L. Finkelstein, Eve Powell, Andrew Hicks, Katelyn Doran, Sandhya Rani Charugulla, Tiffany Barnes:
SNAG: using social networking games to increase student retention in computer science. ITiCSE 2010: 142-146 - [c30]John C. Stamper, Tiffany Barnes, Marvin J. Croy:
Enhancing the Automatic Generation of Hints with Expert Seeding. Intelligent Tutoring Systems (2) 2010: 31-40 - [c29]Michael Eagle, Tiffany Barnes:
Intelligent Tutoring Systems, Educational Data Mining, and the Design and Evaluation of Video Games. Intelligent Tutoring Systems (2) 2010: 215-217 - [c28]Matthew W. Johnson, Tiffany Barnes:
Visualizing Educational Data from Logic Tutors. Intelligent Tutoring Systems (2) 2010: 233-235 - [c27]Behrooz Mostafavi, Tiffany Barnes:
Towards the Creation of a Data-Driven Programming Tutor. Intelligent Tutoring Systems (2) 2010: 239-241 - [c26]Reynold Bailey, Guy-Alain Amoussou, Tiffany Barnes, Hans-Peter Bischof, Thomas L. Naps:
Relevant real-world undergraduate research problems: lessons from the nsf-reu trenches. SIGCSE 2010: 62-63 - [c25]