Tiffany M. Barnes

A Case Study on When and How Novices Use Code Examples in Open-Ended Programming

PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL 1, pp. 82–88.

How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems

Abdelshiheed, M., Barnes, T., & Chi, M. (2023, September 27). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 9.

Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving

Shabrina, P., Mostafavi, B., Abdelshiheed, M., Chi, M., & Barnes, T. (2023, August 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.

Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(3), 406–420.

Block-based abstractions and expansive services to make advanced computing concepts accessible to novices

JOURNAL OF COMPUTER LANGUAGES, 73.

Building a Virtual Community of Practice: Teacher Learning for Computational Thinking Infusion

Jocius, R., O'Byrne, W. I., Albert, J., Joshi, D., Blanton, M., Robinson, R., … Catete, V. (2022, April 18). TECHTRENDS, Vol. 4.

Case Studies on the use of Storyboarding by Novice Programmers

PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 318–324.

Designing a Dashboard for Student Teamwork Analysis

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 446–452.

Enhancing a student productivitymodel for adaptive problem-solving assistance

Maniktala, M., Chi, M., & Barnes, T. (2022, August 3). USER MODELING AND USER-ADAPTED INTERACTION.

Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 619–625.

Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention

PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 526–532.

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer

ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 546–552.

Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning

ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 440–452.

The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way

Ausin, M. S., Maniktala, M., Barnes, T., & Chi, M. (2022, November 28). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor (September, 10.1007/s40593-020-00213-3, 2020)

Maniktala, M., Cody, C., Barnes, T., & Chi, M. (2021, March). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 31, pp. 154–155.

Evaluating Critical Reinforcement Learning Framework in the Field

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 215–227.

Examining Equity in Computing-Infused Lessons Made by Novices

IEEE STCBP RESPECT CONFERENCE: 2021 RESEARCH ON EQUITY AND SUSTAINED PARTICIPATION IN ENGINEERING, COMPUTING, AND TECHNOLOGY (RESPECT), pp. 157–161.

Exploring and Influencing Teacher Grading for Block-based Programs through Rubrics and the GradeSnap Tool

ICER 2021: PROCEEDINGS OF THE 17TH ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, pp. 101–114.

Infusing Computing: Moving a Service Oriented Internship Program Online

IEEE STCBP RESPECT CONFERENCE: 2021 RESEARCH ON EQUITY AND SUSTAINED PARTICIPATION IN ENGINEERING, COMPUTING, AND TECHNOLOGY (RESPECT), pp. 199–203.

Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction

Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2021, August 16). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.

PEDI - Piazza Explorer Dashboard for Intervention

2021 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC 2021).

Removing the Walls Around Visual Educational Programming Environments

2021 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC 2021).

Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 356–368.

The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor

Cody, C., Maniktala, M., Lytle, N., Chi, M., & Barnes, T. (2021, May 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

You Really Need Help: Exploring Expert Reasons for Intervention During Block-based Programming Assignments

ICER 2021: PROCEEDINGS OF THE 17TH ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, pp. 334–346.

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 30(4), 637–667.

Featured Research on Equity and Sustained Participation in Engineering, Computing, and Technology

COMPUTING IN SCIENCE & ENGINEERING, Vol. 22, pp. 4–6.

Peeking through the Classroom Window : A Detailed Data-Driven Analysis on the Usage of a Curriculum Integrated Math Game in Authentic Classrooms

LAK20: THE TENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 625–634.

A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms

International Journal of Artificial Intelligence in Education, 29(3), 368–395.

A Field Study of Teachers Using a Curriculum-integrated Digital Game

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS.

CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students

Proceedings of the ACM Conference on Global Computing Education - CompEd '19, 58–64.

Defining Tinkering Behavior in Open-ended Block-based Programming Assignments

Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19, 1204–1210.

Effective Computer Science Teacher Professional Development

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '19, 271–277.

Effects of a Pathfinding Program Visualization on Algorithm Development

Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19. Presented at the the 50th ACM Technical Symposium.

Evaluating the Effectiveness of Parsons Problems for Block-based Programming

Proceedings of the 2019 ACM Conference on International Computing Education Research - ICER '19, 51–59.

Exploring the Impact of Worked Examples in a Novice Programming Environment

Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19, 98–104.

Hierarchical Reinforcement Learning for Pedagogical Policy Induction

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544–556.

How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 12(2), 184–197.

Infusing Computing

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '19, 278–284.

Infusing Computing Through Professional Development: Shifts in Content Area Teachers' Understandings of Computational Thinking Integration

Proceedings of Society for Information Technology & Teacher Education International Conference, 302–305. Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE).

One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks

In C. F. Lynch, A. Merceron, M. Desmarais, & R. Nkambou (Eds.), Proceedings of the 12th International Conference on Educational Data Mining (pp. 119–128).

PRADA

Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19, 906–912.

RESPECT 2019: Yes, We Still Need to Talk About Diversity in Computing

COMPUTING IN SCIENCE & ENGINEERING, Vol. 21, pp. 79–83.

Toward Data-Driven Example Feedback for Novice Programming

Proceedings of the 12th International Conference on Educational Data Mining. Presented at the International Educational Data Mining Society, Montreal, Canada.

Use, Modify, Create

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '19, 395–401.

Creation and validation of low-stakes rubrics for K-12 computer science

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE 2018, 63–68.

Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction

In Lecture Notes in Computer Science (pp. 327–331).

Exploring Online Course Sociograms Using Cohesion Network Analysis

In Lecture Notes in Computer Science (pp. 337–342).

Infusing Computational Thinking into Middle Grade Science Classrooms: Lessons Learned

WIPSCE'18: PROCEEDINGS OF THE 13TH WORKSHOP IN PRIMARY AND SECONDARY COMPUTING EDUCATION, pp. 109–114.

Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor

In Lecture Notes in Computer Science (pp. 58–62).

Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where Is Learning Support Needed?

In Lecture Notes in Computer Science (pp. 436–449).

Modeling Math Success Using Cohesion Network Analysis

In Lecture Notes in Computer Science (pp. 63–67).

Reducing the State Space of Programming Problems through Data-Driven Feature Detection

Education Data Mining Workshop.

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Journal of Educational Data Mining, 10(1), 1–35. Retrieved from

The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming

In Lecture Notes in Computer Science (pp. 476–490).

Application of the Delphi Method in Computer Science Principles Rubric Creation

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '17, Part F128680, 164–169.

Assessing implicit science learning in digital games

COMPUTERS IN HUMAN BEHAVIOR, 76, 617–630.

Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming

Educational Data Mining (EDM2017). Presented at the International Conference on Educational Data Mining (EDM), Wuhan, China.

Evaluation of a Template-based Puzzle Generator for an Educational Programming Game

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'17).

Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 27(1), 5–36.

Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors

PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER 17), pp. 127–135.

Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 311–322.

Position paper: Block-based programming should offer intelligent support for learners

2017 IEEE Blocks and Beyond Workshop (B&B), 65–68.

Preface for the Special Issue on AI-Supported Education in Computer Science

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 27(1), 1–4.

The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It?

Educational Data Mining (EDM2017). Presented at the International Conference on Educational Data Mining (EDM), Wuhan, China.

Understanding problem solving behavior of 6-8 graders in a debugging game

COMPUTER SCIENCE EDUCATION, 27(1), 1–29.

Using Serious Game Analytics to Inform Digital Curricular Sequencing

Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17. Presented at the the Annual Symposium.

iSnap: Towards Intelligent Tutoring in Novice Programming Environments.

SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 483–488.

An analysis of feature selection and reward function for model-based reinforcement learning

Intelligent tutoring systems, its 2016, 0684, 504–505.

Best of RESPECT, Part 1

Computing in Science & Engineering, 18(2), 6–8.

Best of RESPECT, Part 2

COMPUTING IN SCIENCE & ENGINEERING, Vol. 18, pp. 11–13.

Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor

INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 347–353.

Data-driven Domain Models for Problem Solving

In R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye, & A. Sinatra (Eds.), Design Recommendations for Intelligent Tutoring Systems: Domain Modeling (Vol. 4). Orlando, Florida: Army Research Laboratory.

Data-driven Proficiency Profiling - Proof of Concept

LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 324–328.

Developing a Rubric for a Creative CS Principles Lab

Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '16, 11-13-July-2016, 290–295.

Evaluation of a Frame-based Programming Editor

PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER'16), pp. 33–42.

Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving Educational Data Mining (EDM2016)

Educational Data Mining, 460–465.

Generating Data-driven Hints for Open-ended Programming

Educational Data Mining, 191–198.

Learn about broadening participation

ACM SIGCSE Bulletin, 48(3), 5–5.

Lessons Learned from "BJC" CS Principles Professional Development

Proceedings of the 47th ACM Technical Symposium on Computing Science Education - SIGCSE '16, 467–472.

MOOC Learning by Country and Culture; an Exploratory Analysis

Educational Data Mining, EDM2016, 127–134.

Measuring Gameplay Affordances of User-Generated Content in and Educational Game

Presented at the International Conference on Educational Data Mining (EDM), Raleigh, North Carolina.

Promoting computing faculty success through interinstitutional faculty learning communities

2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT 2016).

STARS Computing Corps: Enhancing Engagement of Underrepresented Students and Building Community in Computing

COMPUTING IN SCIENCE & ENGINEERING, 18(3), 44–57.

The Impact of Granularity on the Effectiveness of Students' Pedagogical Decision

Presented at the Annual Meeting of the Cognitive Science Society (CogSci).

The Need for Research in Broadening Participation

Barnes, T., & Thiruvathukal, G. K. (2016, March). COMMUNICATIONS OF THE ACM, Vol. 59, pp. 33–34.

Using Game Analytics to Evaluate Puzzle Design and Level Progression in a Serious Game

LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 440–448.

Validating Game-based Measures of Implicit Science Learning

Educational Data Mining, 490–495.

Applying Deep Gamification Principles to Improve Quality of User-Designed Levels

Presented at the 11th Annual Games+Learning+Society Conference (GLS 15).

BJC in action: Comparison of student perceptions of a computer science principles course

2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1–4.

Building Compiler-Student Friendship

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 844–847.

Comparing Textual and Block Interfaces in a Novice Programming Environment

Proceedings of the eleventh annual International Conference on International Computing Education Research - ICER '15, 91–99.

Creating Data-Driven Feedback for Novices in Goal-Driven Programming Projects

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 856–859.

Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor

In Lecture Notes in Computer Science (pp. 726–729).

Data-driven Proficiency Profiling

Educational Data Mining, 335–341.

Data-driven worked examples improve retention and completion in a logic tutor

Artificial intelligence in education, aied 2015, 9112, 726–729.

Exploring Missing Behaviors with Region-Level Interaction Network Coverage

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 831–835.

Exploring networks of problem-solving interactions

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge - LAK '15. Presented at the the Fifth International Conference.

Highlights of broadening participation research at RESPECTS '15

SIGCSE Bulletin, 47(4), 3.

Interaction Network Estimation: Predicting the Size and Coverage for Networks of Student-Tutor Transactions

8th International Conference on Educational Data Mining, 342–349.

Language to Completion: Success in an Educational Data Mining Massive Open Online Class

8th International Conference on Educational Data Mining, 388–391.

Measuring Implicit Science Learning with Networks of Player-Game Interactions

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '15. Presented at the the 2015 Annual Symposium.

Panel: BPC fireside chat

2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).

Reports of the Workshops Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE)

AI MAGAZINE, 36(1), 99–102.

SIGCSE BP

ACM SIGCSE Bulletin, 47(3), 8–8.

SIGCSE BP: Enrollments and Diversity at Odds?

ACM SIGCSE Bulletin, 47(2), 8.

STARS computing corps: Enhancing engagement of women and underrepresented students in computing

2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).

The Impact of Granularity on Worked Examples and Problem Solving

Presented at the 37th Annual Cognitive Science Society Meeting (CogSci 2015).

The beauty and joy of computing

ACM Inroads, 6(4), 71–79.

The effects of integrating service learning into computer science: an inter-institutional longitudinal study

Computer Science Education, 25(3), 311–324.

Towards data-driven mastery learning

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge - LAK '15. Presented at the the Fifth International Conference.

Visualization of Play: Graph-based analytics for measuring implicit science learning

Presented at the Second ACM SIGCHI annual symposium on Computer-human interaction in play (CHI PLAY).

Balancing physical and cognitive challenge: A study of players psychological responses to exergame play

Nickel, A., Barnes, T., Payton, J., & Wikstrom, E. (2014, April 3). Presented at the Foundations of Digital Games, Fort Lauderdale, FL.

Building games to learn from their players: Generating hints in a serious game

Intelligent tutoring systems, its 2014, 8474, 312–317.