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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
[j57]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)- [j56]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) - [j55]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) - [j54]Mark Abdelshiheed, Robert Moulder, John Wesley Hostetter, Tiffany Barnes, Min Chi:
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners. User Model. User Adapt. Interact. 34(5): 1745-1775 (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 - [i25]Tiffany Barnes, Jan Vahrenhold, Thomas Zeume, Florian Schmalstieg:
Teaching Support Systems for Formal Foundations of Computer Science (Dagstuhl Seminar 24251). Dagstuhl Reports 14(6): 108-129 (2024) - 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]