Biography

Tiffany Barnes is a Distinguished Professor of Computer Science at NC State University. She received the B.S. and M.S. degrees in Computer Science and Mathematics, and the Ph.D. degree in Computer Science from N.C. State. A member of Phi Beta Kappa and the NC State Golden Chain Society, she has served ACM SIGCSE (Symposium Chair 2018, Program Chair 2017, Board 2011-2016), IEEE Special Technical Community on Broadening Participation (Chair, and founder of the RESPECT conference (2015-present)), the International Educational Data Mining Society (EDM chair 2016, board 2011-present), STARS Computing Corps (Co-Director 2006-present, Celebration Chair 2011, 2015), Foundations of Digital Games (Program Chair 2014), the International Society for AI in Education (Board 2016-Present), and  IEEE Transactions on Learning Technologies (Assoc. Editor 2016-Present). Dr. Barnes received an NSF CAREER Award for her novel work in using data and educational data mining to add intelligence to STEM learning environments. Dr. Barnes is co-Director for the STARS Computing Corps, a consortium of universities that engage college students in outreach, research, and service to broaden participation in computing.  Her research focuses on AI for education, educational data mining, serious games for education, health, and energy, computer science education, and broadening participation in computing education and research.

 

Research Areas

  • Advanced Learning Technologies
  • Artificial Intelligence and Intelligent Agents
  • Computer and Video Games
  • Graphics, Human Computer Interaction, & User Experience

Education

PhD 2003 North Carolina State University Computer Science
MS 2000 North Carolina State University Computer Science & Mathematics
BS-honors 1995 North Carolina State University Computer Science & Mathematics

Awards

  • NC State CSC Alumni Hall of Fame Inductee - 2021
  • National Center for Women and Information Technology (NCWIT) Undergraduate Research Mentoring Award - 2016
  • Most Receptive Undergraduate Professor Outside of the Classroom - 2016
  • National Science Foundation Faculty Early CAREER Award - 2009 

Publications

2019

  1. [Best Paper Award] Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi. (2019). Hierarchical Reinforcement Learning for Pedagogical Policy Induction. Proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I, Pages 544-556.

  2. Zhi, R., Chi, M., Barnes, T., Price, T. W. (2019). Evaluating the Effectiveness of Parsons Problems for Block-based Programming. In Proceedings of the 2019 ACM Conference on International Computing Education Research.

  3. Zhi, R., Marwan, S., Dong, Y., Lytle, N., Price, T. W., Barnes, T. (2019). Toward Data-Driven Example Feedback for Novice Programming. In Proceedings of the 12th International Conference on Educational Data Mining.

  4. [Best Paper Award] Mao, Y., Zhi, R., Khoshnevisan, F., Price, T. W., Barnes, T., Chi, M. (2019, in press). One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. In Proceedings of the 12th International Conference on Educational Data Mining.

  5. Lytle, N. (2019). Towards Data-Driven Programming Problem Generation for Mastery Learning (ICER 2019) (Doctoral Consortium).

  6. Lytle, N., Cateté, V., Boulden, D., Dong, Y., Houchens, J., Milliken, A., Isvik, A., Bounajim, D., Wiebe, E., Barnes, T.(2019, in press). "Use, Modify, Create: Comparing Computational Thinking Lesson Progressions for STEM Classes". In Proceedings of the 24th Annual ACM Conference on Innovation and Technology in Computer Science Education. (ACM).

  7. Dong, Y., Cateté, V., Lytle, N., Isvik, A., Barnes, T., Jocius, R., Albert, J., Joshi, D., Robinson, R., Andrews, A. (2019).Infusing Computing: Analyzing Teacher Programming Products in K-12 Computational Thinking Professional Development. In Proceedings of the 24th Annual ACM Conference on Innovation and Technology in Computer Science Education. (ACM).

  8. Marwan, S., Lytle, N., Williams, J. J., Price, T. W. (2019). The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment . In Proceedings of the 24th Annual ACM Conference on Innovation and Technology in Computer Science Education. (ACM).

  9. Milliken, A., Cody, C., Cateté, V., Barnes, T. (2019). Effective Computer Science Teacher Professional Development: Beauty and Joy of Computing 2018. In Proceedings of the 24th Annual ACM Conference on Innovation and Technology in Computer Science Education. (ACM).

  10. Price, T.W., Dong, Y., Zhi, R.,Paaßen, B., Lytle, N., Cateté, V., Barnes, T. A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. International Journal of Artificial Intelligence in Education. pp 1-28. (May,2019).

  11. Lytle, N.,Catete V., Dong, Y., Boulden D., Akram, B., Houchens, J., Barnes, T., Wiebe, E.(2019). 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 (pp 58-64).(ACM).

  12. Jocius, R., Albert, J., Andrews, A., Catete V., Dong, Y. Joshi D., Robinson R.,Barnes, T., Lytle, N.(2019). 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 (pp. 302-305). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE).

  13. Peddycord-Liu, Z., Catete, V.,,  Vandenberg, J., Barnes, T., Lynch, C., Rutherford, T. (2019). A Field Study of Teachers Using a Curriculum-integrated Digital Game. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . ACM.

  14. Lytle, N. , Floryan, M., Barnes, T. (2019). Effects of a Pathfinding Program Visualization on Algorithm Development . Proceedings of the 50th ACM Technical Symposium on Computer Science Education Pages 225-231. ACM.

  15. Zhi, R., T. W. Price,  S. Marwan, A. Milliken , T. Barnes and M. Chi. (2019). Exploring the Impact of Worked Examples in a Novice Programming Environment. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 98-104). ACM.

  16. Dong, Y.,, Cateté, V.,Jocius, R.,Lytle, N., Barnes, T.,Albert J., Joshi D.,Robinson R.,Andrews, A. (2019). PRADA: A Practical Model for Integrating Computational Thinking in K-12 Education. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 906-912). ACM.

  17. Dong Y., Marwan, S., Cateté V., Price, T.W., Barnes, T. (2019). Defining Tinkering Behavior in Open-ended Block-based Programming Assignments. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 1204-1210). ACM.

2018

  1. Veronica Cateté, Nicholas Lytle, Yihuan Dong, Danielle Boulden, Bita Akram, Jennifer Houchins, Tiffany Barnes, Eric Wiebe, James Lester, Bradford Mott, and Kristy Boyer. (2018). Infusing computational thinking into middle-grade science classrooms: lessons learned. In Proceedings of the 13th Workshop in Primary and Secondary Computing Education (WiPSCE '18). ACM, New York, NY, USA, Article 21, 6 pages.

  2. Zhi, R. (2018). Exploring Data-driven Worked Examples for Block-based Programming (ICER 2018) (Doctoral Consortium).

  3. Zhi, R., Price, T. W., Lytle, N., Dong, Y., & Barnes, T, (2018). Reducing the State Space of Programming Problems through Data-Driven Feature Detection. In EDM 2018 Workshop.

  4. Paaßen, B., B. Hammer, T. W. Price, T. Barnes, S. Gross and N. Pinkwart. "The Continuous Hint Factory - Providing Hints in Continuous and Infinite Spaces." Journal of Educational Data Mining. 2018.

  5. [Best Student Paper] Peddycord-Liu Z., Harred R., Karamarkovich S., Barnes T., Lynch C., Rutherford T. (2018) Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where Is Learning Support Needed?. In: Penstein Ros� C. et al. (eds) Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science, vol 10947. Springer, Cham)

  6. Price, T. W., Zhi, R., Dong, Y., Lytle, N., & Barnes, T. (2018, June). The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming. In International Conference on Artificial Intelligence in Education (pp. 476-490). Springer, Cham.

  7. Cateté, Veronica, Nicholas Lytle, and Tiffany Barnes. "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. ACM, 2018.

  8. Zhi, Rui, Nicholas Lytle, and Thomas W. Price. "Exploring Instructional Support Design in an Educational Game for K-12 Computing Education." Proceedings of the 49th ACM Technical Symposium on Computer Science Education. ACM, 2018.

2017
  1. Thomas Price, Rui Zhi and Tiffany Barnes. (2017). Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming. Educational Data Mining (EDM2017).

  2. Elizabeth Rowe, Jodi Asbell-Clarke, Ryan S Baker, Michael Eagle, Andrew G Hicks, Tiffany M Barnes, Rebecca A Brown, Teon Edwards. (2017). Assessing implicit science learning in digital games. Computers in Human Behavior. Elsevier, Netherlands

  3. Zhongxiu Liu, Rui Zhi, Andrew Hicks, and Tiffany Barnes, (2017). Understanding problem solving behavior of 6--8 graders in a debugging game Journal of Computer Science Education. Mar 1:1-29. Taylor and Francis, UK.

  4. Zhongxiu Liu, Christa Cody, Sarah Kessler, Tiffany Barnes, Collin Lynch, Teomara Rutherford. (2017). Using Serious Game Analytics to Inform Digital Curricular Sequencing: What Math Objective Should Students Play Next? ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI-PLAY), Amsterdam, the Netherlands, forthcoming.(full paper) (25.2% acceptance rate; 45/178 full papers)

  5. Thomas Price, Zhongxiu Liu, Veronica Cateté Tiffany Barnes. (2017). Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors. ACM International Computing Education Research Conference (ICER). Tacoma, WA, USA(full paper). (27% acceptance rate; 29/108 full papers)

  6. Zhongxiu Liu, Christa Cody, Tiffany Barnes, Collin Lynch, Teomara Rutherford. (2017). The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It? International Conference on Educational Data Mining (EDM), Wuhan, China. (full paper)

  7. Thomas Price, Rui Zhi and Tiffany Barnes, 2017. Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior. Proceedings of the International Conference on Artificial Intelligence in Education, Wuhan, China.(full paper)

  8. [Best Paper Nominee] Veronica Cateté, Tiffany Barnes. (2017). Application of the Delphi Method in Computer Science Principles Rubic Creation . ACM Conference on Innovation and Technology in Computer Science Education. (ITiCSE), Bologna, Italy. (full paper).

  9. Thomas Price, Yihuan Dong and Dragan Lipovac, 2017. iSnap: Towards Intelligent Tutoring in Novice Programming Environments. ACM Special Interest Group on Computer Science Education (SIGCSE), Seattle, WA, USA. (Exemplary CS Education Paper Award; 30% acceptance rate; 105/350 full papers)

  10. Yihuan Dong, Tiffany Barnes. (2017). Evaluation of a Template-based Puzzle Generator for an Educational Programming Game. Foundations of Digital Games Conference (FDG). Cape code, MA USA.

  11. Meghana Subramaniam, Veronica Cateté. (2017). A Pathway to Strengthening Support for Beauty and Joy of Computing Teachers ACM SIGSCE Technical Symposium on Computer Science Education (SIGSCE). Seatle, USA. (poster)

2016

  1. Behrooz Mostafavi, and Tiffany Barnes, (2016). Evolution of an Intelligent Deductive Logic Tutor Using Data-driven Elements International Journal of Artificial Intelligence in Education pp. 1-32, April 2016

  2. Jamie Payton, Tiffany Barnes, Kim Buch, Audrey Rorrer, Huifang Zuo, Kinnis Gosha, Kristine Nagel, Nannette Napier, Ebrahim Randeree, Lawrence Dennis, (2016). STARS Computing Corps: Enhancing Engagement of Underrepresented Students and Building Community in Computing Computer Science & Engineering 18(3) pp.44-57. May 2016.

  3. Tiffany Barnes, George K. Thiruvathukal The Need for Research in Broadening Participation. Commun ACM 59(3). pp. 33-34. (2016)

  4. Tiffany Barnes Learn about Broadening Participation: Research at RESPECT 16. SIGCSE Bulletin 48(3). pp. 5

  5. Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeff Forbes Best of RESPECT, Part 2 Computing in Science and Engineering 18(3). pp.11-13 (2016)

  6. [Best Paper Nominee] Andrew Hicks, Zhongxiu Liu, and Tiffany Barnes. (2016). Measuring Gameplay Affordances of User-Generated Content in and Educational Game. Educational Data Mining (EDM2016), Raleigh, NC. pp. 78-85.(full paper)

  7. [Best Paper Nominee] Veronica Cateté, Erin Snider, and Tiffany Barnes. (2016). Developing a Rubic for a Creative CS Principles Lab. ACM Conference on Innovation and Technology in Computer Science Education (iTSCE) . Lima, Peru. pp. 290-295(full paper)

  8. Andrew Hicks, Michael Eagle, Elizabeth Rowe, Jodi Asbell-Clarke, Teon Edwards , and Tiffany Barnes. (2016). Using Game Analytics to Evaluate Puzzle Design and Level Progression in a Serious Game. International Conference on Learning Analytics \& Knowledge(LAK2016) Edinburg, UK. pp.440-448(full paper)

  9. Zhongxiu Liu, Rebecca Brown, Collin Lynch, Tiffany Barnes, Ryan Baker, Yoav Bergner and Danielle Mcnamara. (2016). MOOC Learning by Country and Culture; an Exploratory Analysis. Educational Data Mining (EDM2016), Raleigh, NC. pp. 127-134(full paper)

  10. Thomas Price, Yihuan Dong, and Tiffany Barnes. (2016). Generating Data-driven Hints for Open-ended Programming. Educational Data Mining (EDM2016), Raleigh, NC. pp.191-198 (full paper)

  11. Thomas Price, N.C.C. Brown, Dragon Lipovac, Tiffany Barnes and Michael Kolling. (2016). Evaluation of a Frame-based Programming Editor International Computing Education Research Conference (ICER2016), Australia. pp. 33-42(full paper)

  12. Thomas W Price, Veronica Cateté, Jennifer Albert, Tiffany Barnes, Daniel D Garcia. (2016). Lessons Learned from BJC CS Principles Professional Development ACM Technical Symposium on Computing Science Education(SIGCSE)Memphis, TN. pp. 467-472. (full paper)

  13. Guojing Zhou, Colin Lynch, Thomas Price, Tiffany Barnes and Min Chi. (2016). The Impact of Granularity on the Effectiveness of Students' Pedagogical Decision. Annual Meeting of the Cognitive Science Society (CogSci) . (full paper forth-coming).

  14. Zhongxiu Liu, Behrooz Mostafavi, and Tiffany Barnes. (2016). Combining Worked Examples and Problem Solving in a Data-driven Logic Tutor International Conference on Intelligent Tutoring Systems (ITS2016), Croatia. pp. 347-353. (short paper)

  15. Behrooz Mostafavi, and Tiffany Barnes. (2016). Data-driven Proficiency Profiling: Proof of Concept. International Conference on Learning Analytics \& Knowledge(LAK2016) Edinburg, UK. pp. 324-328(short paper)

  16. Behrooz Mostafavi, and Tiffany Barnes (2016). Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving Educational Data Mining (EDM2016), Raleigh, NC. pp. 460-465(short paper)

  17. Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards. Validating Game-based Measures of Implicit Science Learning . Educational Data Mining (EDM2016), Raleigh, NC. pp. 490-495(short paper)

  18. Eagle, M., B. Mostafavi, and T. Barnes (2016). Data-driven Domain Models for Problem Solving. Accepted to appear in: Design Recommendations for Intelligent Tutoring Systems: Domain Modeling (Volume 4)

2015

  1. Behrooz Mostafavi, Zhongxiu Liu, and Tiffany Barnes. (2015). Data-driven Proficiency Profiling. Educational Data Mining (EDM2015), Madrid, Spain, pp. 335-341. (full paper)

  2. Andrew Hicks, Rui Zhi, Yihuan Dong, and Tiffany Barnes. (2015) Applying Deep Gamification Principles to Improve Quality of User-Designed Levels. 11th Annual Games+Learning+Society Conference (GLS 15) (full paper)

  3. Michael Eagle, Andrew Hicks, and Tiffany Barnes. (2015). Interaction Network Estimation: Predicting the Size and Coverage for Networks of Student-Tutor Transactions 8th International Conference on Educational Data Mining (EDM 15) , Madrid, Spain, 2015. pp.342-349 (full paper)

  4. Michael Eagle, Andrew Hicks, Barry Peddycord III, and Tiffany Barnes. (2015). Exploring networks of problem-solving interactions. Fifth International Learning Analytics and Knowledge Conference (LAK 15) , Poughkeepsie, New York, 2015. pp 21-30 (full paper)

  5. Thomas Price, and Tiffany Barnes. Comparing Textual and Block Interfaces in a Novice Programming Environment. International Computing Education Research Conference. (ICER 2015) pp.91-99 (full paper)

  6. Guojing. Zhou, Thomas Price, Collin Lynch, and Tiffany Barnes, Min Chi. (2015) The Impact of Granularity on Worked Examples and Problem Solving. the 37th Annual Cognitive Science Society Meeting (CogSci 2015) (full paper)

  7. Tiffany Barnes, Ann Gates, Kim McLeod, Cheryl Seals, Sheila Castaneda, Mark Guzdial, Jamie Payton, Jeff Forbes, Richard Ladner, Beth Quinn (2015) Panel: BPC Fireside Chat Research in Equity and Sustained Participation in Engineering, Computing and Technology (RESPECT 2015), Aug 2015

  8. Jamie Payton, Tiffany Barnes, Kim Buch, Audrey Rorrer, Huifang Zuo (2015). STARS computing corps: Enhancing engagement of women and underrepresented students in computing Research in Equity and Sustained Participation in Engineering, Computing and Technology (RESPECT 2015), Charlotte, Raleigh, Aug 2015 (full paper)

  9. Behrooz Mostafavi, Michael Eagle, and Tiffany Barnes. (2015). Towards Data-driven Mastery Learning. Fifth International Conference on Learning Analytics and Knowledge (LAK 2015) , pp. 270-274. ACM.(short paper)

  10. Michael Eagle, E. Rowe, Rebecca Brown, J. Asbell-Clarke, Andrew Hicks, Tiffany Barnes and T. Edwards(2015). Visualization of Play: Graph-based analytics for measuring implicit science learning. second ACM SIGCHI annual symposium on Computer-human interaction in play (CHI PLAY '15).(short paper)

  11. Thomas Price, Jennifer Albert, Veronica Cateté and Tiffany Barnes. (2015). BJC in Action: Comparison of Student Perceptions of a Computer Science Principles Course. Research in the Equity and Sustained Participation in Engineering, Computing, and Technology Conference. (RESPECT 2015) (short paper)

  12. Michael Eagle, Elizabeth Rowe, Drew Hicks, Rebecca Brown, Tiffany Barnes, Jodi Asbell-Clarke, and T. Edwards(2015). Measuring Implicit Science Learning with Networks of Player-Game Interactions. Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play. (CHI-play 2015)pp. 499-504

  13. Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, and Yoav Bergner (2015) Language to Completion: Success in an Educational Data Mining Massive Open Online Class. 8th International Conference on Educational Data Mining (EDM 15) , Madrid, Spain, 2015. pp.388-391 (short paper)

  14. Andrew Hicks, Veronica Cateté, Rui Zhi, Yihuan Dong and Tiffany Barnes. (2015) BOTS: Selecting Next-Steps from Player Traces in a Puzzle Game. G-EDM 2015 Proceedings of the Second International Workshop on Graph-Based Educational Data Mining (G-EDM 2015). Madrid Spain. June 2015. (workshop)

  15. Collin Lynch, Thomas Price, Min Chi. and Tiffany Barnes. (2015) Using the Hint Factory to Analyze Model-Based Tutoring Systems. G-EDM 2015 Proceedings of the Second International Workshop on Graph-Based Educational Data Mining (G-EDM 2015). Madrid Spain. June 2015. (workshop)

  16. Thomas Price and Tiffany Barnes. (2015) An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem. G-EDM 2015 Proceedings of the Second International Workshop on Graph-Based Educational Data Mining (G-EDM 2015). Madrid Spain. June 2015. (workshop)

  17. Rebecca Brown, Collin Lynch, Yuan Wang, Michael Eagle, Jennifer Albert and Tiffany Barnes, Ryan Baker, Bergner, Y., & McNamara, D. (2015). Communities of performance and communities of preference. Proceedings of the Second International Workshop on Graph-Based Educational Data Mining (G-EDM 2015). Madrid Spain. June 2015. (workshop)

  18. Tiffany Barnes, Oliver Bown, Michael Buro, Michael Cook, Arne Eigenfeldt, H�ctor Mu�oz-Avila, Santiago Onta��n, 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 Magazine 36(1). pp. 99-102. 2015

  19. Dan Garcia, Brian Harvey, Tiffany Barnes, (2015). The Beauty and Joy of Computing ACM Inroads, 6(4), pp. 71-79, November 2015.

  20. Tiffany Barnes (2015) Broadening Participation gets RESPECT ACM SIGCSE Bulletin 47(3), pp. 8-8, July 2015.

  21. Jamie Payton, Tiffany Barnes, Kim Bunch, Audrey S Rorrer, Huifang Zuo (2015) The Effects of Integrating Service Learning into Computer Science Computer Science Education 25(3),pp 311-324. July 2015.

  22. Tiffany Barnes, Oliver Bown, Michael Buro, Michael Cook, Arne Eigenfeldt, H�ctor Mu�oz-Avila, Santiago Onta��n, Philippe Pasquier, Noriko Tomuro, R Michael Young, Alexander Zook (2015) Reports of the Workshops Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment AI Magazine 36(1) pp. 99-102, March 2015

  23. Lisa Kaczmarczyk, Tiffany Barnes (2015) SIGCSE BP: Enrollments and Diversity at Odds? ACM SIGCSE Bulletin 47(2), pp. 8-8, May 2015.

  24. Tiffany Barnes, Mark Guzdial. Highlights of broadening participation research at RESPECTS 15' SIGCSE Bulletin 47(2): 8 (2015)

  25. Michael Eagle, Tiffany Barnes. Exploring Missing Behavior with Region-Level Interaction Network Coverage Artificial Intelligence in Education (AIED 2015). pp 831-835 (poster)

  26. Michael Eagle and Tiffany Barnes. (2015) Region-level Features in Networks of Student-Tutor Interactions. Proceedings of the 8th International Conference on Educational Data Mining (EDM 15), Madrid, Spain, 2015. (poster)

  27. Michael Eagle, Rebecca Brown, Elizabeth Rowe, Tiffany Barnes, Jodi Asbell-Clarke and Teon Edwards. (2015) Exploring Problem-Solving Behavior in an Optics Game. Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), Madrid, Spain, 2015 pp. 584-585(poster)

  28. Zhongxiu Liu. (2015) Data-driven Hint Generation from Peer Debugging Solutions. proceedings of the 8th International Conference on Educational Data Mining. Madrid, Spain (Doctorial Consortium)

  29. Zhongxiu Liu and Tiffany Barnes. (2015) Building Compiler-Student Friendship. the 17th International Conference on Artificial Intelligence on Education. Madrid, Spain. pp.844-847 (Doctorial Consortium)

  30. Thomas Price. (2015) Integrating Intelligent Feedback into Block Programming Environments. the International Computing Education Research Conference. (ICER 2015) (Doctoral Consortium)

  31. Thomas Price and Tiffany Barnes. (2015) Creating Data-driven Feedback for Novices in Goal-driven Programming Projects. the International Conference on Artificial Intelligence in Education (AIED 2015) pp. 856-859 (Doctoral Consortium)

  32. Behrooz Mostafavi, Guojing Zhou, Collin Lynch, Min Chi, Tiffany Barnes (2015) Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor Artificial Intelligence in Education (AIED 2015) pp. 726-729(poster)

  33. Jennifer Albert, Barry Peddycord III, and Tiffany Barnes. (2015, March). Evaluating Scratch programs to assess computational thinking in a science lesson. the annual meeting of the ACM Special Interest Group on Computer Science Education, Kansas City, MO. (poster)

  34. Rebecca Brown, Collin Lynch, Michael Eagle, Jennifer Albert, and Tiffany Barnes, Ryan Baker, Bergner, Y., & McNamara, D. (2015). Good communities and bad communities: Does membership affect performance? Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), Madrid, Spain, 2015 pp. 612-613(poster)

  35. Thomas Price, Veronica Cateté, Jennifer Albert, and Tiffany Barnes(2015). Determining the impact of teacher professional development on perceived ability to teach a computer science principles course. the annual meeting of the International Computing Education Research Workshop, Omaha, Nebraska. (poster)

2014

  1. Richard Burns, Wanda Eugene, Tiffany Barnes, Stephen Chandler, Megan Harwell, Osarieme Omokaro. (2014). Reflections from a computational service learning trip to Haiti. The Journal of Computing Sciences in Colleges, 29(3), pp. 43-50, January 2014.

  2. Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, and Tiffany Barnes. (2014). Exploration of student's use of rule application references in a propositional logic tutor. Educational Data Mining (EDM2014), London, UK, pp. 249-252. (short paper)

  3. Barry Peddycord III, Andrew Hicks, and Tiffany Barnes. (2014). Generating hints for programming problems using intermediate output. Educational Data Mining (EDM2014), London, UK, pp. 92-98. (Acceptance rate: 17%)

  4. Michael Eagle, Tiffany Barnes (2014). Exploring differences in problem solving with data-driven approach maps. Educational Data Mining (EDM2014), London, UK, pp. 76-83. (Acceptance rate: 17%)

  5. Michael Eagle, Tiffany Barnes (2014). Survival analysis on duration data in intelligent tutors. Intelligent Tutoring Systems (ITS2014), Honolulu, Hawaii, June 2014, pp. 178-187. (Acceptance rate: 31/177: 17.5%)

  6. Andrew Hicks, Barry Peddycord III, and Tiffany Barnes. (2014). Building games to learn from their players: Generating hints in a serious game. Intelligent Tutoring Systems (ITS2014): 312-317. (short paper)

  7. Andrew Hicks, Veronica Cateté, Tiffany Barnes. (2014). Part of the game: Changing level creation to identify and filter low quality user-generated levels. Foundations of Digital Games (FDG2014), Fort Lauderdale, FL, April 3-7, 2014. (full paper, 38/86, 44% acceptance rate)

  8. Andrea Nickel, Tiffany Barnes, Jamie Payton, Erik Wikstrom. (2014). Balancing physical and cognitive challenge: A study of players psychological responses to exergame play. Foundations of Digital Games, Fort Lauderdale, FL, April 3-7, 2014. (Exemplary Paper, 14/86, 16% acceptance rate)

  9. Veronica Cateté, Katherine Wassell, Tiffany Barnes. (2014). Use and development of entertainment technologies in after school STEM program. SIGCSE 2014: 163-168.

  10. Tiffany Barnes. Invited talk at SAS Institute on CS Education. July 2014.

  11. Tiffany Barnes. Keynote Speaker: Making a difference for most students, most of the time. Learning Analytics Summer Institute, Harvard University, Cambridge, MA, July 2014.

  12. Tiffany Barnes. Keynote Speaker. ACMSE Conference, Kennesaw State University, Kennesaw, GA, 2014.

  13. Tiffany Barnes, Veronica Cateté, Andrew Hicks, and Barry Peddycord. 2014. Making games and apps in introductory computer science (abstract only). In Proceedings of the 45th ACM technical symposium on Computer science education (SIGCSE 2014). ACM, New York, NY, USA, 739-739. DOI=10.1145/2538862.2539000.

  14. Justis Peters, Sagar Jauhari, and Tiffany Barnes. (2014). Extracting temporal features using BCIpy. In Proceedings of the Workshop on Utilizing EEG Input in Intelligent Tutoring Systems , held at Intelligent Tutoring Systems (ITS2014). Honolulu, Hawaii, USA, June 5, 2014.

  15. Behrooz Mostafavi and Tiffany Barnes. (2014). Evaluation of Logic Proof Problem Difficulty Through Student Performance Data. In: EDM 2014 Extended Proceedings: Workshop Proceedings of the 7th International Conference on Educational Data Mining. London, United Kingdom, June 4-7, 2014. Ed. by S. Gutierrez-Santos and O. C. Santos. CEUR-WS, 2014.

  16. V. Cateté, A. Hicks, T. Barnes, and C. Lynch. (2014). Snag'em: Graph Data Mining for a Social Networking Game. In: EDM 2014 Extended Proceedings: Workshop Proceedings of the 7th International Conference on Educational Data Mining. London, United Kingdom, June 4-7, 2014. Ed. by S. Gutierrez-Santos and O. C. Santos. CEUR-WS, 2014.

  17. V. Sheshadri, C. Lynch, and T. Barnes. (2014). InVis: An EDM Tool for Graphical Rendering and Analysis of Student Interaction Data. In: EDM 2014 Extended Proceedings: Workshop Proceedings of the 7th International Conference on Educational Data Mining. London, United Kingdom, June 4-7, 2014. Ed. by S. Gutierrez-Santos and O. C. Santos. CEUR-WS, 2014.

2013

 

  1. [Best Paper Nominee]John Stamper, Michael Eagle, Tiffany Barnes, and Marvin Croy. 2013. Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. Intl. Journal on AI in Education (IJAIED), Volume 22(1-2): 3-17 (2013).

  2. MatthewmJohnson, Michael Eagle, Tiffany Barnes(2013). InVis: An Interactive Visualization Tool for Exploring Interaction Networks Educational Data Mining (EDM 2013): pp. 82-89.

  3. Matthew Johnson, Michael Eagle, Tiffany Barnes, John Stamper (2013). An Algorithm for Reducing the Complexity of Interaction Networks. Educational Data Mining (EDM 2013): pp. 248-251.

  4. Michael Eagle, Tiffany Barnes. (2013). Evaluation of automatically generated hint feedback. Educational Data Mining (EDM 2013): pp. 372-374. (Young Researcher Track paper).

  5. Behrooz Mostafavi, Tiffany Barnes. (2013). Determining problem selection for a logic proof tutor. Educational Data Mining (EDM 2013): pp. 387-389. (Young Researcher Track paper).

  6. Wanda Eugene, Shaundra Daily, Richard Burns, and Tiffany Barnes 2013. Building Technology Fluency: Fostering Agents of Change. 120 th ASEE Conference (ASEE 2013), Atlanta, GA, June 23-26, 2013. paper #6069. Online: http://www.asee.org/public/conferences/20/papers/6069/view

  7. [Best Paper Nominee] Amy Shannon, Acey Boyce, Chitra Gadwal, Tiffany Barnes. 2013. Effective Practices in Game Tutorial Systems. 8 th ACM Foundations of Digital Games 2013: 338-345. Best paper nominee.

  8. Michael Eagle, Matthew Johnson, Tiffany Barnes, and Acey Boyce. 2013. Exploring Player Behavior with Visual Analytics. 8 th ACM Foundations of Digital Games 2013: pp. 380-383. Short paper.

  9. Samantha Finkelstein , Tiffany Barnes, Zachary Wartell and Evan Suma. 2013. Evaluation of the Exertion and Motivation Factors of a Virtual Reality Exercise Game for Children with Autism. In: Workshop on Virtual and Augmented Assistive Technology at IEEE Virtual Reality 2013.

  10. Acey Boyce, Amy Shannon, Chitra Gadwal, Tiffany Barnes. 2013. BeadLoom Game. Game Festival @ ACM Foundations of Digital Games 2013 (FDG 2013), Chania, Greece, May 2013.

  11. Tiffany Barnes. Keynote Speaker . Alice Symposium, Duke University, Durham, NC, June 19, 2013.

2012

  1. Andrea Nickel, Hugh Kinsey, Tiffany Barnes and Zachary Wartell. 2012. Supporting an Interval Training Program with the Astrojumper Video Game . In electronic proceedings of Meaningful Play 2012, East Lansing, MI, USA, Oct. 18-20, 2012. (online: http://meaningfulplay.msu.edu/proceedings2012/ , no page numbers)

  2. Acey Boyce, Antoine Campbell, Shaun Pickford, Dustin Culler , and Tiffany Barnes. 2012. Maximizing learning and guiding behavior in free play user generated content environments . In Proceedings of the 17th ACM annual conference on Innovation and technology in computer science education (ITiCSE '12). ACM, New York, NY, USA, 10-15. (45% Acceptance rate)

  3. Katelyn Doran, Acey Boyce, Samantha Finkelstein, and Tiffany Barnes. 2012. Outreach for improved student performance: a game design and development curriculum . In Proceedings of the 17th ACM annual conference on Innovation and technology in computer science education (ITiCSE '12). ACM, New York, NY, USA, 209-214. (45% Acceptance rate)

  4. Michael Eagle, Matt Johnson, and Tiffany Barnes. 2012. Interaction networks: generating high level hints based on network community clusterings . In Proceedings of the 5 th International Conference on Educational Data Mining (EDM 20��12) . Chania, Greece, June 19-21, 2012, 164-167. (short paper)

  5. Michael John Eagle and Tiffany Barnes. 2012. Data-Driven method for assessing skill-opportunity recognition in open procedural problem solving environments. In Proceedings of the 11th International Conference on Intelligent Tutoring Systems (ITS 20��12), Stefano A. Cerri, William J. Clancy, Giorgos Papadourakis, and Kitty Panourgia (Eds.) Springer-Verlag, Berlin, Heidelberg. pp. 615-617. (Young Researcher Track paper)

  6. Lorrie Lehmann , Dale-Marie Wilson, and Tiffany Barnes. 2012. Using individualized feedback and guided instruction via a virtual human agent in an introductory computer programming course. In Proceedings of the 11th international conference on Intelligent Tutoring Systems (ITS'��12), Stefano A. Cerri, William J. Clancy, Giorgos Papadourakis, and Kitty Panourgia (Eds.) Springer-Verlag, Berlin, Heidelberg,. 612-614. (Young Researcher Track paper)

  7. Matt Johnson, Tomoko Okimoto, and Tiffany Barnes. 2012. Leveraging game design to promote effective user behavior of intelligent tutoring systems . In Proceedings of the 11 th international conference on Intelligent Tutoring Systems (ITS'��12), Stefano A. Cerri, William J. Clancy, Giorgos Papadourakis, and Kitty Panourgia (Eds.) Springer-Verlag, Berlin, Heidelberg, 597-599.

  8. Wei Jin, Tiffany Barnes, John Stamper, Michael John Eagle , Mathew W. Johnson , and Lorrie Lehmann . 2012. Program representation for automatic hint generation for a data-driven novice programming tutor. In Proceedings of the 11 th international conference on Intelligent Tutoring Systems (ITS'��12), Stefano A. Cerri, William J. Clancy, Giorgos Papadourakis, and Kitty Panourgia (Eds.) Springer-Verlag, Berlin, Heidelberg, 304-309.

  9. Evie Powell, Rachel Brinkman, Tiffany Barnes, and Veronica Cateté . 2012. Table tilt: making friends fast. In Proceedings of the International Conference on the Foundations of Digital Games (FDG '12). ACM, New York, NY, USA, 242-245.

  10. Michael John Eagle and Tiffany Barnes. 2012. A learning objective focused methodology for the design and evaluation of game-based tutors . In Proceedings of the 43rd ACM technical symposium on Computer Science Education (SIGCSE '12). ACM, New York, NY, USA, 99-104.

  11. Katelyn Doran, Acey Boyce, Andrew Hicks, Jamie Payton and Tiffany Barnes. 2012. Creation of a Game-Based Digital Layer for Increased Museum Engagement Among Digital Natives. The 2nd International Workshop on Games and Software Engineering (GAS 2012) held at the International Conference on Software Engineer (ICSE 2012). Zurich, Switzerland, June 9, 2012.

  12. Maybellin Burgos, Mykel Pendergrass, Andrea Nickel, Jamie Payton and Tiffany Barnes. 2012. Sweet Harvest: An Exergame for Increasing Flexibility and Warming Up for Intense Exercise . Meaningful Play 2012 , East Lansing, Michigan, Oct. 18-20, 2012. Poster.

  13. Andrea Nickel, Hugh Kinsey , Heidi Haack , Mykel Pendergrass , and Tiffany Barnes . 2012. Interval training with Astrojumper. IEEE VR 2012 : 161-162. Poster.

  14. Barnes, T. (2012). Finding Funding for Undergraduate Research. STARS Celebration 2012. Hampton, VA, August 11-13, 2012.

  15. Barnes, T. (2012). How to Mentor Undergraduate Research. STARS Celebration 2012. Hampton, VA, August 11-13, 2012.

  16. Barnes, T. (2012). Teaching AP CS Principles with Scratch, GameMaker, and AppInventor. STARS Celebration 2012. Hampton, VA, August 11-13, 2012.

  17. Barnes, T. (2012). Funding for graduate school: writing proposals for graduate research fellowships . STARS Celebration 2012. Hampton, VA, August 11-13, 2012.

  18. Matt Johnson and Tiffany Barnes. (2012). Demonstration of InVis. Educational Data Mining (EDM 2012). Chania, Greece, June 19-21.

  19. Tiffany Barnes. Keynote Speaker. STARS Celebration, Hampton, VA, August 2012.

  20. Tiffany Barnes. Building intelligence for interactive learning environments. NC State University, May 7, 2012.

  21. Tiffany Barnes. Keynote Speaker. Big South Undergraduate Research Symposium (BigSURS 2012), Winthrop, SC, April 13, 2012.

  22. Tiffany Barnes. Human-amplifying computing. Clemson University. April 9, 2012.

2011

  1. Barnes,T. & J. Stamper. (2011). Using Markov decision processes for student problem-solving visualization and automatic hint generation. Handbook on Educational Data Mining . CRC Press.

  2. Barnes, T. (2011). Novel derivation and application of skill matrices: The q-matrix method. Handbook on Educational Data Mining . CRC Press.

  3. Sabarish V. Babu, Evan Suma, Larry F. Hodges and Tiffany Barnes. 2011. Learning Cultural Conversational Protocols with Immersive Interactive Virtual Humans . The International Journal of Virtual Reality ,2011, 10(4): 25-35.

  4. [Best Paper] John Stamper, Tiffany Barnes, and Marvin Croy. 2011. Enhancing the Automatic Generation of Hints with Expert Seeding. International Journal of Artificial Intelligence in Education, Special Issue: Best of ITS�, 2011. IOS Press.

  5. Samantha L. Finkelstein, Andrea Nickel, Zachary Lipps, Tiffany Barnes, Zachary Wartell, and Evan A. Suma. 2011. Astrojumper: Motivating Exercise with an Immersive Virtual Reality Exergame. Presence 20(1): 78-92 (2011).

  6. Teresa Dahlberg, Tiffany, Barnes, Kim Buch, and Audrey Rorrer. 2011. The STARS Alliance: viable strategies for attracting, retaining, supporting, and developing underrepresented students in computing. ACM Transactions on Computing Education TOCE 11( 3): 18 (2011).

  7. Acey Boyce, Katie Doran, Antoine Campbell, Shaun Pickford, Dustin Culler, and Tiffany Barnes. 2011. Social User Generated Content'��s Effect on Creativity in Educational Games . (Poster) ACM Creativity and Cognition , Atlanta GA, Nov. 3-6, 2011, pp. 317-318.

  8. Matt Johnson, Michael Eagle , Leena Joseph , and Tiffany Barnes . 2011. The EDM Vis Tool. EDM 2011 : 349-350.

  9. Eve Powell, Felesia Stukes, Tiffany Barnes, and Heather Lipford. 2011. Snag'��em: Creating Community Connections through Games. In Proceedings of the Third International Conference on Social Computing (SocialCom'��11), Boston, MA, Oct. 9-11, 2011, 591-593.

  10. Matthew W. Johnson . 2011. Defining solution boundaries for EDM Vis. In Proceedings of the 15th international conference on Artificial intelligence in education (AIED'11), Gautam Biswas, Susan Bull, Judy Kay, and Antonija Mitrovic (Eds.). Springer-Verlag, Berlin, Heidelberg, 603-605.

  11. Behrooz Mostafavi, Tiffany Barnes and Marvin Croy. 2011. Automatic Generation of Proof Problems in Deductive Logic. In Proceedings of the 4 th International Conference on Educational Data Mining (EDM '��11). Eindhoven, Netherlands, July 6-8, 2011, 289-294. (short paper)

  12. John C. Stamper, Michael Eagle , Tiffany Barnes, and Marvin Croy. 2011. Experimental evaluation of automatic hint generation for a logic tutor. In Proceedings of the 15th international conference on Artificial intelligence in education (AIED'11), Gautam Biswas, Susan Bull, Judy Kay, and Antonija Mitrovic (Eds.). Springer-Verlag, Berlin, Heidelberg, 345-352. Best paper nominee.

  13. D. Scott McCrickard , DeMarcus Townsend , Woodrow W. Winchester III, Tiffany Barnes. 2011. Leveraging Card-Based Collaborative Activities as Culturally Situated Design Tools . In Proceedings of the 2011 international conference on Human Computer Interactions (HCI'��11), Orlando, FL, July 9-14, 2011, 232-236.

  14. Acey Boyce , Katelyn Doran , Antoine Campbell , Shaun Pickford , Dustin Culler ,and Tiffany Barnes. 2011. BeadLoom Game: adding competitive, user generated, and social features to increase motivation . In Proceedings of the 6th International Conference on Foundations of Digital Games (FDG '11). ACM, New York, NY, USA, 139-146. (30% Acceptance rate)

  15. Acey Kreisler Boyce , Antoine Campbell , Shaun Pickford , Dustin Culler , and Tiffany Barnes. 2011. Experimental evaluation of BeadLoom game: how adding game elements to an educational tool improves motivation and learning. In Proceedings of the 16th annual joint conference on Innovation and technology in computer science education (ITiCSE '11). ACM, New York, NY, USA, 243-247. (39% Acceptance rate)

  16. Wei Jin, Lorrie Lehmann, Matt Johnson, Michael Eagle, Behrooz Mostafavi, Tiffany Barnes, and John Stamper. 2011. Towards Automatic Hint Generation for a Data-Driven Novice Programming Tutor. In Proceedings of the KDD in ED workshop at KDD 2011 .

  17. Jamie Payton, Evie Powell , Andrea Nickel , Katelyn Doran , and Tiffany Barnes. 2011. GameChanger: a middleware for social exergames. In Proceedings of the 1st International Workshop on Games and Software Engineering (GAS '11). ACM, New York, NY, USA, 36-39.

2010

  1. Teresa Dahlberg, Tiffany Barnes, Karen Bean, and Kim Buch. 2010. Engaging Under-represented Computer Science Students in Service: An Innovative Course and Case Study Findings. Computer Science Education , volume 20 (issue 3), September 2010, pp. 169-180.

  2. Tiffany Barnes and John Stamper. 2010. Automatic hint generation for logic proof tutoring using historical data . Journal of Educational Technology & Society, Vol. 13, Issue: 1- Special issue on Intelligent Tutoring Systems, pp. 3-12.

  3. Tiffany Barnes, Teresa Dahlberg, Kim Buch, and Karen Bean. 2009. The STARS Leadership Corps: An innovative computer science learning community. Learning Communities Journal, 1,5-18.

  4. Katelyn Doran, Shaun Pickford, Cory Austin, Tory Walker and Tiffany Barnes. 2010. World of Workout: Towards pervasive, intrinsically motivated, mobile exergaming . In electronic proceedings of Meaningful Play 2010 , East Lansing, MI, USA, Oct. 21-23, 2010.

  5. Samantha L. Finkelstein, Eve Powell , Andrew Hicks , Katelyn Doran , Sandhya Rani Charugulla , and Tiffany Barnes. 2010. SNAG: using social networking games to increase student retention in computer science . In Proceedings of the fifteenth annual conference on Innovation and technology in computer science education (ITiCSE '10). ACM, New York, NY, USA, 142-146.

  6. Eve M. Powell , Samantha Finkelstein , Andrew Hicks , Thomas Phifer , Sandhya Charugulla , Christie Thornton , Tiffany Barnes, and Teresa Dahlberg. 2010. SNAG: social networking games to facilitate interaction. In CHI '10 Extended Abstracts on Human Factors in Computing Systems (CHI EA '10). ACM, New York, NY, USA, 4249-4254.

  7. Samantha Finkelstein , Andrea Nickel , Tiffany Barnes, and Evan A. Suma. 2010. Astrojumper: motivating children with autism to exercise using a VR game. In CHI '10 Extended Abstracts on Human Factors in Computing Systems (CHI EA '10). ACM, New York, NY, USA, 4189-4194.

  8. Amanda Chaffin and Tiffany Barnes. 2010. Lessons from a course on serious games research and prototyping. In Proceedings of the Fifth International Conference on the Foundations of Digital Games (FDG '10). ACM, New York, NY, USA, 32-39. (34% acceptance rate, 32/94 full paper submissions)

  9. Acey Boyce and Tiffany Barnes. 2010. BeadLoom Game: using game elements to increase motivation and learning. In Proceedings of the Fifth International Conference on the Foundations of Digital Games (FDG '10). ACM, New York, NY, USA, 25-31. (34% acceptance rate, 32/94 full paper submissions)

  10. Katelyn Doran , Acey Boyce , and Samantha Finkelstein . 2010. Reaching out with game design. In Proceedings of the Fifth International Conference on the Foundations of Digital Games (FDG '10). ACM, New York, NY, USA, 250-251. (25% acceptance rate, 3/12 short paper