Digital Transformation of Education - 2015

Eagle, M., Hicks, A., & Barnes, T. (2015). Interaction Network Estimation: Predicting the Size and Coverage for Networks of Student-Tutor Transactions. 8th International Conference on Educational Data Mining, 342–349.

Hicks, A., Zhi, R., Dong, Y., & Barnes, T. (2015). Applying Deep Gamification Principles to Improve Quality of User-Designed Levels. Presented at the 11th Annual Games+Learning+Society Conference (GLS 15).

Mostafavi, B., Liu, Z., & Barnes, T. (2015). Data-driven Proficiency Profiling. Educational Data Mining, 335–341.

Barnes, T., Payton, J., & Guzdial, M. (2015). Highlights of broadening participation research at RESPECTS '15. SIGCSE Bulletin, 47(4), 3. https://doi.org/10.1145/2856332.2856334

Crossley, S. A., McNamara, D. S., Baker, R. S., Wang, Y., Paquette, L., Barnes, T., & Bergner, Y. (2015). Language to Completion: Success in an Educational Data Mining Massive Open Online Class. 8th International Conference on Educational Data Mining, 388–391.

Eagle, M., Rowe, E., Brown, R., Asbell-Clarke, J., Hicks, A., Barnes, T., & Edwards, T. (2015). 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).

Zhou, G., Price, T., Lynch, C., Barnes, T., & Chi, M. (2015). The Impact of Granularity on Worked Examples and Problem Solving. Presented at the 37th Annual Cognitive Science Society Meeting (CogSci 2015).

Kaczmarczyk, L., & Barnes, T. (2015). SIGCSE BP: Enrollments and Diversity at Odds? ACM SIGCSE Bulletin, 47(2), 8. https://doi.org/10.1145/2782744.2782750

Choo, E., Yu, T., & Chi, M. (2015). Detecting Opinion Spammer Groups Through Community Discovery and Sentiment Analysis. In Data and Applications Security and Privacy XXIX (pp. 170–187). https://doi.org/10.1007/978-3-319-20810-7_11

Price, T. W., & Barnes, T. (2015). Comparing Textual and Block Interfaces in a Novice Programming Environment. Proceedings of the eleventh annual International Conference on International Computing Education Research - ICER '15. Presented at the the eleventh annual International Conference. https://doi.org/10.1145/2787622.2787712

Eagle, M., Hicks, D., Peddycord, B., III, & Barnes, T. (2015). 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. https://doi.org/10.1145/2723576.2723630

Mostafavi, B., Zhou, G., Lynch, C., Chi, M., & Barnes, T. (2015). Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor. In Lecture Notes in Computer Science (pp. 726–729). https://doi.org/10.1007/978-3-319-19773-9_102

Payton, J., Barnes, T., Buch, K., Rorrer, A., & Zuo, H. (2015). The effects of integrating service learning into computer science: an inter-institutional longitudinal study. Computer Science Education, 25(3), 311–324. https://doi.org/10.1080/08993408.2015.1086536

Barnes, T. (2015). SIGCSE BP. ACM SIGCSE Bulletin, 47(3), 8–8. https://doi.org/10.1145/2822363.2822369

Garcia, D., Harvey, B., & Barnes, T. (2015). The beauty and joy of computing. ACM Inroads, 6(4), 71–79. https://doi.org/10.1145/2835184

Eagle, M., Rowe, E., Hicks, D., Brown, R., Barnes, T., Asbell-Clarke, J., & Edwards, T. (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 '15. Presented at the the 2015 Annual Symposium. https://doi.org/10.1145/2793107.2810330

Mostafavi, B., Eagle, M., & Barnes, T. (2015). 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. https://doi.org/10.1145/2723576.2723622

Eseryel, D. (2015). Causal influence diagramming. In J. M. Spector (Ed.), Encyclopedia of Educational Technology. Thousand Oaks, CA: Sage.

Zhang, D., Peng, X., Yalvac, B., Eseryel, D., Nadeem, U., Islam, A., & Arceneaux, D. (2015). Exploring the impact of peer-generated screencast tutorials on computer-aided design education. ASEE Annual Conference and Exposition, Conference Proceedings, 122nd ASEE Annual Conference and Exposition: Making Value for Society(122nd ASEE Annual Conference and Exposition: Making Value for Society). Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84941994643&partnerID=MN8TOARS

Payton, J., Barnes, T., Buch, K., Rorrer, A., & Zuo, H. F. (2015). 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). https://doi.org/10.1109/respect.2015.7296495

Barnes, T., Castaneda, S., Forbes, J., Gates, A., Guzdial, M., Ladner, R., … Seals, C. (2015). Panel: BPC fireside chat. 2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT). https://doi.org/10.1109/respect.2015.7296491

Choo, E., Yu, T., & Chi, M. (2015). Detecting opinion spammer groups through community discovery and sentiment analysis. Data and applications security and privacy xxix, 9149, 170–187.

Price, T. W., Albert, J., Catete, V., & Barnes, T. (2015). 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). https://doi.org/10.1109/respect.2015.7296506

Eagle, M., & Barnes, T. (2015). Exploring Missing Behaviors with Region-Level Interaction Network Coverage. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 831–835. https://doi.org/10.1007/978-3-319-19773-9_126

Harley, J. M., Carter, C. C., Papaionnou, N., Bouchet, F., Landis, R. S., Azevedo, R., & Karabachian, L. (2015). Examining the predictive relationship between personality and emotion traits and learners' agent-direct emotions. Artificial intelligence in education, aied 2015, 9112, 145–154.

Mostafavi, B., Zhou, G. J., Lynch, C., Chi, M., & Barnes, T. (2015). Data-driven worked examples improve retention and completion in a logic tutor. Artificial intelligence in education, aied 2015, 9112, 726–729.

Liu, Z., & Barnes, T. (2015). Building Compiler-Student Friendship. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 844–847. https://doi.org/10.1007/978-3-319-19773-9_129

Price, T. W., & Barnes, T. (2015). Creating Data-Driven Feedback for Novices in Goal-Driven Programming Projects. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 856–859. https://doi.org/10.1007/978-3-319-19773-9_132

Evans, M. A., Nino, M., Deater-Deckard, K., & Chang, M. (2015). School-Wide Adoption of a Mathematics Learning Game in a Middle School Setting: Using the TPACK Framework to Analyze Effects on Practice. ASIA-PACIFIC EDUCATION RESEARCHER, 24(3), 495–504. https://doi.org/10.1007/s40299-014-0225-y

Muis, K. R., Pekrun, R., Sinatra, G. M., Azevedo, R., Trevors, G., Meier, E., & Heddy, B. C. (2015). The curious case of climate change: Testing a theoretical model of epistemic beliefs, epistemic emotions, and complex learning. Learning and Instruction, 39, 168–183.

Duffy, M. C., & Azevedo, R. (2015). Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system. Computers in Human Behavior, 52, 338–348.

Nino, M., & Evans, M. A. (2015). Fostering 21st-Century Skills in Constructivist Engineering Classrooms With Digital Game-Based Learning. IEEE REVISTA IBEROAMERICANA DE TECNOLOGIAS DEL APRENDIZAJE-IEEE RITA, 10(3), 143–149. https://doi.org/10.1109/rita.2015.2452673

Won, S. G. L., Evans, M. A., Carey, C., & Schnittka, C. G. (2015). Youth appropriation of social media for collaborative and facilitated design-based learning. COMPUTERS IN HUMAN BEHAVIOR, 50, 385–391. https://doi.org/10.1016/j.chb.2015.04.017

Duffy, M. C., Azevedo, R., Sun, N. Z., Griscom, S. E., Stead, V., Crelinsten, L., … Lachapelle, K. (2015). Team regulation in a simulated medical emergency: An in-depth analysis of cognitive, metacognitive, and affective processes. Instructional Science, 43(3), 401–426.

Harley, J. M., Bouchet, F., Hussain, M. S., Azevedo, R., & Calvo, R. (2015). A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system. Computers in Human Behavior, 48, 615–625.

Barnes, T., Bown, O., Buro, M., Cook, M., Eigenfeldt, A., Munoz-Avila, H., … Zook, A. (2015). Reports of the Workshops Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). AI MAGAZINE, 36(1), 99–102. https://doi.org/10.1609/aimag.v36i1.2576

Azevedo, R. (2015). Defining and measuring engagement and learning in science: Conceptual, theoretical, methodological, and analytical issues. Educational Psychologist, 50(1), 84–94.