Publications – Future of Learning Lab

Below, you’ll find the publications from our lab. Please click on the name of the publication to access the manuscript, if available.

indicates a received award for the corresponding publication.
*indicates equal contribution.

Electronic copies of papers are provided as a professional courtesy to ensure timely dissemination of academic work for individual, non-commercial purposes. Copyright resides with the respective copyright holders, as stated within each paper. These files may not be re-posted without permission.

Jump to a Year

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013

2024

Lee, J.*, Harvey, E.*, Zhou, J., Garg, N., Joachims, T., & Kizilcec, R. F. 2024. Ending Affirmative Action Harms Diversity Without Improving Academic Merit. In Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’24), October 29–31, 2024, San Luis Potosi, Mexico. ACM, New York, NY, USA 17 Pages.

Muñoz-Najar Galvez, S., Lee, J., Alvero, A. J., Stewart, S., Kizilcec, R. F., & Desiderio, A. 2024. Artificial Communication and Media Realism in College Admissions. The Digitized Campus: Artificial Intelligence and Big Data in Higher Education

Alvero, A. J., Lee, J., Regla-Vargas, A., Kizilec, R., Joachims, T., & Antonio, A. L. (2024) Large language models, social demography, and hegemony: comparing authorship in human and synthetic text. Journal of Big Data 11, 138.

Lee, J., Hicke, Y., Yu, R., Brooks, C., & Kizilcec, R. F. (2024). The life cycle of large language models in education: A framework for understanding sources of bias. British Journal of Educational Technology, 55(5), 1982-2002.

Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., Wasson, B., Tømte, C., Spikol, D., Milrad, M. Coelho, R., Kizilcec, R. F. (2024). What Explains Teachers’ Trust of AI in Education across Six Countries? International Journal of Artificial Intelligence in Education.

Cho, J., Tao, Y., Yeomans, M., Tingley, D., & Kizilcec, R. F. (2024). Which Planning Tactics Predict Online Course Completion? In Proceedings of the International Conference on Learning Analytics and Knowledge (LAK).

Kizilcec, R. F., Huber, E., Papanastasiou, E. C., Cram, A., Makridis, C. A., Smolansky, A., Zeivots, S., & Raduescu, C. (2024). Perceived impact of generative AI on assessments: Comparing educator and student perspectives in Australia, Cyprus, and the United States. Computers and Education: Artificial Intelligence, 7, 100269.

Tao, Y., Viberg, O., Baker, R. S., & Kizilcec, R. F. (2024). Cultural bias and cultural alignment of large language models. PNAS nexus, 3(9), p. 346.

Chen, Y., & Kizilcec, R. F. (2024). Showing authentic examples of academic and career trajectories to influence college students’ career exploration. Journal of Vocational Behavior, 153, 104026.

Viberg, O., Kizilcec, R. F., Wise, A. F., Jivet, I., & Nixon, N. (2024). Advancing equity and inclusion in educational practices with AI‐powered educational decision support systems (AI‐EDSS). British Journal of Educational Technology, 55(5), 1974-1981.

Rajashekar, N.C., Shin, Y.E., Pu, Y., Chung, S., You, K., Giuffre, M., Chan, C.E., Saarinen, T., Hsiao, A., Sekhon, J., Wong, A.H., Evans, L.V., Kizilcec, R.F. Laine, L., Mccall, T., & Shung, D. (2024) Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. ACM.

Viberg, O., Kizilcec, R. F., Jivet, I., Monés, A. M., Oh, A., Mutimukwe, C., Hrastinski, S., & Scheffel, M. (2024). Cultural differences in students’ privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United States. Computers in Human Behavior Reports, 14, 100416.

Allen, S. E., & Kizilcec, R. F. (2024). A systemic model of academic (mis) conduct to curb cheating in higher education. Higher Education, 87(5), 1529-1549.

Kizilcec, R. F. (2024). To Advance AI Use in Education, Focus on Understanding Educators. International Journal of Artificial Intelligence in Education.

Kizilcec, R., & Mitchell, J. (2024). Remote Learning and Work. IEEE Internet Computing, 28(1), 7-9.

Kizilcec, R. F., Shung, D. L., & Sung, J. J. (2024). Human-machine interaction: AI-assisted medicine, instead of AI-driven medicine. In Artificial Intelligence in Medicine (pp. 131-140). Academic Press.

Zhao, P., Bazarova, N. N., DiFranzo, D., Hui, W., Kizilcec, R. F., & Margolin, D. (2024). Standing up to problematic content on social media: which objection strategies draw the audience’s approval?. Journal of Computer-Mediated Communication, 29(1).

Allen, Scott E., René F. Kizilcec, and A. David Redish. (Forthcoming, 2024) A new model of trust based on neural information processing. arXiv preprint arXiv:2401.08064.

Allen, S., Bardach, L., Jirout, J., Mackey, A., McCoy, D., Pesando, L. M., & Kizilcec, R. (Forthcoming, 2024). Implementing New Technology in Educational Systems. arXiv preprint arXiv:2409.12039.

Varuvel Dennison, D., Garcia, R. C. C., Sarin, P., Wolf, J., Bywater, C., Xie, B., & Lee, V. R. (2024). From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23300-23308.

Harvey, E., Koenecke, A., & Kizilcec, R. (2024) Towards an Educator-Centered Method for Measuring Bias in Large Language Models. AAAI 2024 Workshop on AI for Education. Spotlight Presentation.

Kim, Y.*, Geathers, J.*, & Piech, C. (2024). Grading and Clustering Student Programs That Produce Probabilistic Output. Proceedings of the 2024 Conference on Educational Data Mining (EDM).

Yun, J.*, Hicke, Y.*, Olson, M., & Demszky, D. (2024) Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring. Proceedings of the Eleventh ACM Conference on Learning@ Scale, 422-426.

2023

Kizilcec, R. F., Baker, R. B., Bruch, E., Cortes, K. E., Hamilton, L. T., Lang, D. N., Pardos, Z. A., Thompson, M. E., & Stevens, M. L. (2023). From pipelines to pathways in the study of academic progress. Science, 380(6643).

Hohenstein, J., Kizilcec, R. F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., & Jung, M. F. (2023). Artificial intelligence in communication impacts language and social relationships. Scientific Reports, 13(1), 5487.

Rizvi, S., Rienties, B., Rogaten, J., & Kizilcec, R. F. (2023). Are MOOC learning designs culturally inclusive (enough)?. Journal of Computer Assisted Learning.

Best Paper Award
Lee, H., Kizilcec, R. F., & Joachims, T. (2023). Lee, H., Kizilcec, R. F., & Joachims, T. (2023). Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions. In Proceedings of the ACM Conference on Learning at Scale.

Lee, J., Thymes, B., Zhou, J., Joachims, T., & Kizilcec, R. F. (2023). Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters. In Workshop Proceedings at the Intl. Conference on Artificial Intelligence in Education (AIED).

Alon, L., Sung, S., Cho, J., & Kizilcec, R. F. (2023). From emergency to sustainable online learning: Changes and disparities in undergraduate course grades and experiences in the context of COVID-19. Computers & Education, 203(104870).

Allen, S., & Kizilcec, R. F. (2023). A Systemic Model of Academic (Mis)Conduct to Curb Cheating in Higher Education. Higher Education.

Gardner, J., Yu, R., Nguyen, Q., Brooks, C., & Kizilcec, R. F. (2023). Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT).

Claure, H., Kim, S., Kizilcec, R. F., & Jung, M. (2023). The social consequences of machine allocation behavior: Fairness, interpersonal perceptions and performance. Computers in Human Behavior, 146, 107628.

Kizilcec, R. F. & Davis, D. (2023). Learning Analyitcs Education: A case study, review of current programs, and recommendations for instructors. In Olga Viberg and Åke Grönlund (Eds.). Practicable Learning Analytics. Springer Nature.

Best Short Paper Nominee
Kizilcec, R.F., Viberg, O., Jivet, I., Martínez-Monés, A., Oh, A., Hrastinski, S., Mutimukwe, C., & Scheffel, M. (2023). The Role of Gender in Students’ Privacy Concerns about Learning Analytics: Evidence from five countries. In Proceedings of the ACM Conference on Learning Analytics and Knowledge (LAK 2023).

Alon, L., Sung, S., & Kizilcec, R. F. (2023). “It’s Nice to Mix Up the Rhythm”: Undergraduates’ Experiences in a Large Blended Learning Course in Information Science in the Context of COVID-19. iConference 2023. Lecture Notes in Computer Science, vol 13971. Springer.

Kizilcec, R. F., Mason, J., McCarthy, K., Rodrigo, M. M., & Rose, C. (2023). Using Technology to Foster Equitable Access and Diverse Learning Communities. In Rapid Community Reports, Workshop Outcomes (pp. 1-9). International Society of the Learning Sciences.

Misevic, D., Atal, I., Bedard, D., Cherel, E., Escamilla, J., Evans, L., … & Van Der Leeuw, S. (2023). Harnessing collective intelligence for the future of learning–a co-constructed research and development agenda. Human Computation, 10(1), 1-30.

Hicke, Y., Masand, A., Guo, W., & Gangavarapu, T. (2023). Assessing the efficacy of large language models in generating accurate teacher responses. ACL, Innovative Use of NLP for Building Educational Applications Workshop.

Hicke, Y.*, Agarwal, A.*, Ma, C.*, & Denny, P. (2023). AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs, NeurIPS’23 Workshop: Generative AI for Education (GAIED).

2022

Rizvi, S., Rienties, B., Rogaten, J., & Kizilcec, R. F. (2022). Culturally-Adaptive Learning Design: A Mixed-method Study of Cross-Cultural Learning Design Preferences in MOOCs. In B. Rienties, R. Hampel, E. Scanlon, D. Whitelock (Eds.), Open World Learning: What Works?, Routledge.

Sung, S., Alon, L., Cho, J., & Kizilcec, R. F. (2022). How to Assess Student Learning in Information Science: Exploratory Evidence from Large College Courses. In Proceedings of the 85th Annual Meeting of the Association for Information Science & Technology (ASIS&T 2022).

Kizilcec, R. F., Mimno, J. A., & Karhan, A. J. (2022). Effects of Framing Professional Development as a Career Growth Opportunity on Course Completion. In Proceedings of the ACM Conference on Learning at Scale.

McCarthy, K. S., Crossley, S. A., Meyers, K., Boser, U., Allen, L. K., Chaudhri, V. K., Collins-Thompson, K., D’Mello, S., De Choudhury, M., Garg, K., Goel, A., Gosha, K., Heffernan, N., Hooper, M. A., Hyman, E., Jarratt, D. C., Khalil, D., Kizilcec, R. F., Litman, D., Malatinszky, A., Marks, K., McNamara, D. S., Menko, R., Palermo, C., Porcaro, D., Roscoe, R., Shapiro, S., Khanh-Phoung, T., Trumbore, A. M., White, C., Wong, W., Yang, D., & Zampieri, M. (2022). Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education. Technology, Mind, & Behavior, 3(1).

Best Student Paper Award
Sabnis, S., Yu, R., & Kizilcec, R. F. (2022). Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior. In Proceedings of the ACM Conference on Learning at Scale.

Williamson, K. & Kizilcec, R. F. (2022). Review of Learning Analytics Dashboard Research in Higher Education: Implications for Justice, Equity, Diversity, and Inclusion. In Proceedings of the 12th International Conference on Learning Analytics and Knowledge (LAK).

Citation: Kizilcec, R. F., Lee, H. (2022). Algorithmic fairness in education. In W. Holmes & K. Porayska-Pomsta (Eds.), Ethics in Artificial Intelligence in Education, Routledge. ISBN: 9780429329067.

Cho, J., Li, Y., Krasny, M. E., & Kizilcec, R. F. (2022). Measuring Cultural Dimensions of Learning in Online Courses. In Proceedings of the ACM Conference on Learning at Scale.

Williamson, K. & Kizilcec, R. F. (2022). Large-Scale Analysis of Discussion Networks in College Courses. In Proceedings of the ACM Conference on Learning at Scale.

Chen, Y., Fu, A., Lee, J., Wilkie Tomaski, I., & Kizilcec, R. F. (2022). Pathways: Exploring Academic Interests with Historical Course Enrollment Records. In Proceedings of the ACM Conference on Learning at Scale.

2021

Allen, S. E., Phillips, A. M., & Kizilcec, R. F. (2021). Student perceptions of pre-assessments: “It’s basically just guessing anyways.” Proceedings of the Physics Education Research conference.

Lee, J., Moon, K., Han, S., Lee, S., Kwon, H., Han, J., & Kim, G. 2021. Development and Application of an AI-Powered Adaptive Course Recommender System in Higher Education: An Example From K University. Journal of Educational Technology, 37(2), 267-307

Moon, K., Kim, J., & Lee, J. 2021. Early Prediction Model of Student Performance Based on Deep Neural Network Using Massive LMS Log Data. The Journal of the Korea Contents Association, 21(10), 1-10 Conference Proceedings

Cho, J., Li, Y., Armstrong, A., Russ, A., Krasny, M. E., & Kizilcec, R. F. (2021). Using Social Norms to Promote Actions Beyond the Course. In Proceedings of the ACM Conference on Learning at Scale (L@S).

Cho, J., Li, Y., Krasny, M. E., Russ, A., & Kizilcec, R. F. (2021). Online Learning and Social Norms: Evidence from a Cross-Cultural Field Experiment in a Course for a Cause. Computer-based Learning in Context, 3(1), 18-36.

Best Undergraduate Student Paper Award
Cho, J., Tomasik, I., Yang, H., & Kizilcec, R. F. (2021). Student Perceptions of Social Support in the Transition to Emergency Remote Instruction. In Proceedings of the ACM Conference on Learning at Scale (L@S).

Cho, J. & Kizilcec, R. F. (2021). Applying the Behavior Change Taxonomy from Public Health Interventions to Education Research. In Proceedings of the ACM Conference on Learning at Scale (L@S).

Williamson, K. & Kizilcec, R. F. (2021). Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy. In Proceedings of the Conference on Educational Data Mining (EDM).

Best Paper Nominee
Yu, R., Lee, H., & Kizilcec, R. F. (2021). Should College Dropout Prediction Models Include Protected Attributes? In Proceedings of the ACM Conference on Learning at Scale (L@S).

Alon, L., Sung, S. & Kizilcec, R.F. (2021). How Does Active Learning Change Undergraduate Learning Experiences? A Case of a Large Technology Design Course. In T. Bastiaens (Ed.), Proceedings of Innovate Learning Summit 2021 (pp. 201-208).

Rizvi, S., Rienties, B., Rogaten, J., & Kizilcec, R. F. (2021). Beyond One-Size-Fits-All in MOOCs: Variation in Learning Design and Persistence of Learners in Different Cultural and Socioeconomic Contexts. Computers in Human Behavior, 126, 106973.

Kizilcec, R. F., Chen, M., Jasinska, K., Madaio, M., & Ogan, A. (2021). Mobile Learning During School Disruptions in Sub-Saharan Africa. AERA Open, 7.

Varanasi, R. A., Vashistha, A., Kizilcec, R. F., & Dell, N. (in press) Investigating Technostress Among Teachers in Low-IncomeIndian Schools. In Proceedings of the ACM on Human Computer Interaction.

Cho, J. & Kizilcec, R. F. (2021). Delivery Ghost: Effects of Language Immersion and Interactivity in a Language Learning Game. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI).

Kizilcec, R. F., Makridis, C., & Sadowski, K. C. (2021). Pandemic Response Policies’ Democratizing Effects on Online Learning. Proceedings of the National Academy of Sciences (PNAS), 118(11).

Williamson, K. & Kizilcec, R. F. (2021). Learning Analytics Dashboard Research Has Neglected Diversity, Equity, and Inclusion. In Proceedings of the ACM Conference on Learning at Scale (L@S).

Chaturapruek, S., Dalberg, T., Thompson, M. E., Giebel, S., Harrison, M., Johari, R., Stevens, M. L., & Kizilcec, R. F. (2021). Studying Undergraduate Course Consideration at Scale. AERA Open, 7.

Williams-Ceci, S., Grose, G. E., Pinch, A. C., Kizilcec, R. F., & Lewis, N. A. (2021). Combatting sharenting: Interventions to alter parents’ attitudes towards posting about their children online. Computers in Human Behavior.

2020

Kim, D., Shin, W., Han, K., Lee, J., Moon, K., Lee, S., Han, S., Kwon, H., & Han, S. 2020. A System for Recommending University Liberal Arts Courses Using Collaborative Filtering. Fall 2020 Conference of Korean Institute of Industrial Engineers Book Chapters

Kizilcec, R. F., Reich, J., Yeomans, M., Dann, C., Brunskill, E., Lopez, D., Turkay, S., Williams, J., & Tingley, D. (2020). Scaling Up Behavioral Science Interventions in Online Education. Proceedings of the National Academy of Sciences (PNAS).

Chirikov, I., Semenova, T. Maloshonok, N., Bettinger, E., Kizilcec, R. F. (2020). Online Education Platforms Scale College STEM Instruction with Equivalent Learning Outcomes at Lower Cost. Science Advances, 6(15).

Kizilcec, R. F., Saltarelli, A. J., Bonfert-Taylor, P., Goudzwaard, M., Hamonic, E., & Sharrock, R. (2020). Welcome to the Course: Early Social Cues Influence Women’s Persistence in Computer Science. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI). Honolulu, HI, USA.

Lee, H. & Kizilcec, R. F. (2020). Evaluation of Fairness Trade-offs in Predicting Student Success. In Proceedings of the Conference on Educational Data Mining (EDM) Fairness, Accountability, and Transparency in Educational Data (FATED) Workshop.

Kizilcec, R. F. & Kambhampaty, A. (2020). Identifying course characteristics associated with sociodemographic variation in enrollments across 159 online courses from 20 institutions. PloS one, 15(10), e0239766.

Kizilcec, R. F. & Chen, M. (2020). Student Engagement in Mobile Learning via Text Message. In Proceedings of the ACM Conference on Learning at Scale (L@S). Virtual Event, USA.

Chen, Y. & Kizilcec, R. F. (2020). Examining Sources of Variation in Student Confusion in College Classes. In Proceedings of the ACM Conference on Learning at Scale (L@S). Virtual Event, USA.

2019

Best Paper Award
Kizilcec, R. F. & Saltarelli, A. J. (2019). Can a diversity statement increase diversity in MOOCs? In Proceedings of the ACM Conference on Learning at Scale (L@S). Chicago, IL, USA.

Kizilcec, R. F. & Saltarelli, A. J. (2019). Psychologically Inclusive Design: Cues impact women’s participation in STEM education. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI). Glasgow, Scotland.

Varanasi, R. A., Kizilcec, R. F., Dell, N. (2019) How Teachers in India Reconfigure their Work Practices around a Teacher-Oriented Technology Intervention. Proceedings of the ACM: Human-Computer Interaction.

Rizvi, S., Rienties, B., Rogaten, J., Kizilcec, R. F. (2019). Investigating Variation in Learning Processes in a FutureLearn MOOC. Journal of Computing in Higher Education.

Kizilcec, R. F. & Goldfarb, D. (2019). Growth Mindset Predicts Student Achievement and Behavior in Mobile Learning. In Proceedings of the ACM Conference on Learning at Scale (L@S). Chicago, IL, USA.

2018

Davis, D., Kizilcec, R. F., Hauff, C., & Houben, G.-J. (2018). Scaling Effective Learning Strategies: Retrieval Practice and Long-Term Knowledge Retention in MOOCs. Journal of Learning Analytics, 5(3), 21–41.

Davis, D., Kizilcec, R. F., Hauff, C., & Houben, G.-J. (2018). The Half-Life of MOOC Knowledge: A Randomized Trial Evaluating the Testing Effect in MOOCs. In Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK). Sydney, Australia.

Maldonado-Mahauad, J., Pérez-Sanagustín, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018). Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior, 80, 179-196.

Best Paper Award
Chaturapruek, S., Dee, T. S., Johari, R., Kizilcec, R. F., & Stevens, M. L. (2018). How a data-driven course planning tool affects college students’ GPA: Evidence from two field experiments. In Proceedings of the Fifth ACM Conference on Learning at Scale (L@S). London, UK.

Kizilcec, R. F., Bakshy, E., Eckles, D., & Burke, M. (2018). Social Influence and Reciprocity in Online Gift Giving. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI). Montreal, Canada.

2017

Kizilcec, R. F., Saltarelli, A. J., Reich, J., & Cohen, G. L. (2017). Closing global achievement gaps in MOOCs. Science, 355(6322), 251-252. (Supporting Materials)

Kizilcec, R. F. & Cohen, G. L. (2017). Eight-minute self-regulation intervention improves educational attainment at scale in individualist but not collectivist cultures. Proceedings of the National Academy of Sciences (PNAS), 114(17), 4348–4353.

Best Paper Award
Kizilcec, R. F., Davis, G. M., & Cohen, G. L. (2017). Towards Equal Opportunities in MOOCs: Affirmation Reduces Gender & Social-class Achievement Gaps in China. In Proceedings of the Fourth ACM Conference on Learning at Scale (L@S). Cambridge, MA.

Davis, D., Jivet, I., Kizilcec, R. F., Chen, G., Hauff, C., & Houben, G.-J. (2017). Follow the Successful Crowd: Raising MOOC Completion Rates through Social Comparison at Scale. In Proceedings of the 7th International Conference on Learning Analytics and Knowledge (LAK). Vancouver, Canada.

Kizilcec, R. F. & Brooks, C. (2017). Diverse Big Data and Randomized Field Experiments in MOOCs.In C. Lang, G. Siemens, A. Wise, D. Gašević (Eds.), Handbook of Learning Analytics (pp. 211-222). Society for Learning Analytics Research.

Kizilcec, R. F., Perez-Sanagustin, M., & Maldonado, J. J. (2017). Self-Regulated Learning Strategies Predict Learner Behavior and Goal Attainment in Massive Open Online Courses. Computers & Education, 104, 19-33.

2016

Kizilcec, R. F. (2016). How Much Information?: Effects of Transparency on Trust in an Algorithmic Interface. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2016. San Jose, CA.

Kizilcec, R. F., Perez-Sanagustin, M., & Maldonado, J. J. (2016). Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC. In Proceedings of the Third ACM Conference on Learning at Scale, L@S 2016. Edinburgh, UK.

Li, J., Kizilcec, R. F., Bailenson, J. N., & Ju, W. (2016). Social Robots and Virtual Agents as Lecturers for Video Instruction. Computers in Human Behavior, 55(B), 1222-1230.

Eckles, D., Kizilcec, R. F., & Bakshy, E. (2016). Estimating peer effects in networks with peer encouragement designs. Proceedings of the National Academy of Sciences (PNAS), 113(27), 7316-7322. (Supporting Information)

2015

Krause, M. & Kizilcec, R. F. (2015). To Play or not to Play: Response Quality and Task Complexity in Games and Paid Crowdsourcing. In Proceedings of the Conference on Human Computation & Crowdsourcing, HCOMP 2015. San Diego, CA.

Kizilcec, R. F. & Schneider, E. (2015). Motivation as a Lens to Understand Online Learners. ACM Transactions on Computer-Human Interaction (TOCHI), 22(2).

Kizilcec, R. F., & Halawa, S. A. (2015). Attrition and Achievement Gaps in Online Learning. In Proceedings of the Second ACM Conference on Learning at Scale, L@S 2015. Vancouver, Canada.

Kizilcec, R. F., Bailenson, J. N., & Gomez, C. J. (2015). The Instructor’s Face in Video Instruction: Evidence from Two Large-Scale Field Studies. Journal of Educational Psychology, 107(3), 724-739.

2014

Williams, J. J., Kizilcec, R. F., Klemmer, S., & Russell, D. (2014). Innovations for Learning at Scale Workshop. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014. Toronto, Canada.

Kizilcec, R. F., Schneider, E., Cohen, G. L., & McFarland, D. A. (2014). Encouraging Forum Participation in Online Courses with Collectivist, Individualist, and Neutral Motivational Framings.eLearning Papers, 37, 13-22. ISSN: 1887-1542.

Thille, C., Schneider, D. E., Kizilcec, R. F., Piech, C., Halawa, S. A., & Greene, D. K. (2014). The Future of Data–Enriched Assessment. Research & Practice in Assessment, 9(2), 5-16.

Kizilcec, R. F., Papadopoulos, K., & Sritanyaratana, L. (2014). Showing Face in Video Instruction: Effects on Information Retention, Visual Attention, and Affect. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014. Toronto, Canada.

Zhang, K. & Kizilcec, R. F. (2014). Anonymity in Social Media: Effects of Content Controversiality and Social Endorsement on Sharing Behavior. In Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014. Ann Arbor, MI.

Aymerich-Franch, L., Kizilcec, R. F., & Bailenson, J. N. (2014). The Relationship between Virtual Self Similarity and Social Anxiety. Frontiers in Human Neuroscience, 8(944).

2013

Kizilcec, R. F., Piech, C., & Schneider, E. (2013). Deconstructing Disengagement: Analyzing Learner Subpopulations in Massive Open Online Courses. In Proceedings of the Third International Conference on Learning Analytics and Knowledge, LAK 2013. Leuven, Belgium. | Recording of conference talk.

Kizilcec, R. F. (2013). Collaborative Learning in Geographically Distributed and In-person Groups.Proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013. Memphis, TN.