Publications

Conference Full Papers

Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, March 16). How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. Presented at the 13th International Learning Analytics and Knowledge Conference (LAK ‘23), March 13-17, 2023, Arlington, Texas, USA. https://doi.org/10.1145/3576050.3576071

Awards and Honors

Best Full Paper Nominee

Honorable Mention

Authors

Aaron Haim (me)

Stacy T. Shaw

Neil T. Heffernan

Prihar, E., Haim, A., Sales, A., & Heffernan, N. (2022, June). Automatic Interpretable Personalized Learning. In Proceedings of the Ninth ACM Conference on Learning @ Scale (L@S ’22), June 1–3, 2022, New York City, NY, USA. 1-11. https://doi.org/10.1145/3491140.3528267

Awards and Honors

Best Paper Nominee

Best Dataset

Associated Links

OSF Project: https://doi.org/10.17605/osf.io/9pgv5

Poster Papers

Haim A., & Heffernan, N. (2022, July). Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. Proceedings of the 15th International Conference on Educational Data Mining (EDM '22), July 24-27, 2022, Durham, England, UK. 734–737. https://doi.org/10.5281/zenodo.6853053

Associated Links

OSF Project: https://doi.org/10.17605/osf.io/f8w9p

Authors

Aaron Haim (me)

Neil T. Heffernan

Workshops and Tutorials

Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, March 13-14). How to Open Science: Promoting Principles and Reproducibility Practices within the Learning Analytics Community. Presented at the 13th International Learning Analytics and Knowledge Conference (LAK '23), March 13-17, 2023, Arlington, Texas, USA. https://lak2023-tutorial.howtoopenscience.com. Accessible at https://doi.org/10.17605/osf.io/kyxba.

Authors

Aaron Haim (me)

Stacy T. Shaw

Neil T. Heffernan

Haim, A., Shaw, S. T., & Heffernan, N. T., III. (2023, March 10). Understanding Licenses, Terms of Use/Service, and Private Policies. Presented at the Unconference 2023: Open Scholarship Practices in Education Research (Unconference ‘23), March 9-10, 2023. Accessible at https://osf.io/f784k/

Associated Links

OSF Project: https://doi.org/10.17605/osf.io/kurfc

Authors

Aaron Haim (me)

Stacy T. Shaw

Neil T. Heffernan

Extended Abstracts

Haim, A., Prihar, E., Shaw, S. T., Sales, A., & Heffernan, N. T., III. (2022, October 20). Expansion on Exploring Common Trends in Online Educational Experiments. Presented at the 2022 Conference on Digital Experimentation @ MIT (CODE@MIT '22), October 20-21, 2022, Boston, MA, US. Accessible at https://doi.org/10.17605/osf.io/m2jqe

Doctoral Consortiums

Haim, A., Prihar, E., Heffernan, N.T. (2022, July). Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_5

Authors

Aaron Haim (me)

Ethan Prihar

Neil T. Heffernan