in press
Micro-models of student engagement: A bottom-up approach to learner modeling 2025 American Educational Research Association (AERA) Annual Meeting
2024
Large language models for whole-learner support: Opportunities and challenges Frontiers in Artificial Intelligence , 7 [DOI] [PDF]
Deep learning for educational data science Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines (pp. 111–139). Springer Nature Switzerland. [DOI] [PDF] [arXiv] [book chapter]
Applications of explainable AI (XAI) in education Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines (pp. 93–109). Springer Nature Switzerland. [DOI] [PDF] [book chapter]
Using LLM-based filtering to develop reliable coding schemes for rare debugging strategies International Conference on Quantitative Ethnography 2024 [PDF] [nominated for best paper]
Towards a unified framework for evaluating explanations HEXED (Human-Centric eXplainable AI in Education) Workshop [PDF] [arXiv] [workshop paper]
Intrinsically interpretable artificial neural networks for learner modeling International Conference on Educational Data Mining 2024 [PDF] [doctoral consortium]
The imperative of explainability: Increasing transparency in educational AI UIUC College of Education Graduate Student Conference [poster]
2023
Using problem similarity- and order-based weighting to model learner performance in introductory computer science problems Journal of Educational Data Mining , 15(1), 63–99 [DOI] [PDF]
Utilizing programming traces to explore and model the dimensions of novices’ code writing skill Computer Applications in Engineering Education [DOI] [PDF]
Trustworthy AI requires algorithmic interpretability: Some takeaways from recent uses of eXplainable AI (XAI) in education Trustworthy AI Lab for Education Summit [poster] [best poster]
Investigating the relationship between programming experience and debugging behaviors in an introductory computer science course International Conference on Quantitative Ethnography 2023 [PDF] [nominated for best student paper]
Intelligent tutors, cultural blind spots: Implications of underrepresentation in adaptive learning research International Society of the Learning Sciences Annual Meeting (ISLS 2023) [PDF] [poster]
Interpretable neural networks vs. expert-defined models for learner behavior detection The 13th International Learning Analytics and Knowledge Conference (LAK) [PDF] [poster]
Using problem similarity- and order-based weighting to model learner performance in introductory computer science problems Educational Data Mining in Computer Science Education (CSEDM) Workshop [workshop paper]
2022
Combining latent profile analysis and programming traces to understand novices’ differences in debugging Education and Information Technologies [DOI] [PDF]
Artificial intelligence for equitable global education: A call for more representative adaptive learning research and design practices in low- and middle-income countries 2022 Learning Sciences Graduate Student Conference (LSGSC) [poster]
Utilizing programming traces to explore the dimensions of novice programmers' code writing skill Educational Data Mining in Computer Science Education (CSEDM) Workshop [DOI] [workshop paper]
2021
What We Learned When We Compared Discussion Posts from One MOOC Hosted on Two Platforms Online Learning Journal , 25(4), 101–118 [DOI] [PDF]
Investigating elements of student persistence in an introductory computer science course 2021 Educational Data Mining in Computer Science Education (CSEDM) Workshop [PDF] [workshop paper]
Exploring how learners integrate personally meaningful issues in a project-based MOOC 2021 American Educational Research Association (AERA) Annual Meeting [PDF]
What we learned when we compared discussion posts from one mooc hosted on two platforms 2021 American Educational Research Association (AERA) Annual Meeting [PDF]
2020
Exemplifying Computational Thinking Scenarios in the Age of COVID-19: Examining the Pandemic’s Effects in a Project-Based MOOC Computing in Science & Engineering , 22(6), 97–102 [DOI] [PDF]
Personalizing digital learning environments Research Evaluation and Action Plan (REAP) Symposium
Using data to inform learning experience design Academic Innovation 2020 Student Showcase
The role students should play in the design, collection, and analysis of learning analytics Academic Innovation Data Showcase [panel participant]
2018
Language learning for the 21st century: Interpersonal communication through digital communities Texas Language Center: "Language Matters!" Lecture Series [video] [invited lecture]
Creating a conversational Hebrew vocabulary list: A reproducible use of technology to overcome scarcity of data National Council of Less Commonly Taught Languages (NCOLCTL) 21st Annual Conference
Transitional semi-allophonic spirantization in Tiberian Hebrew Jil Jadid Graduate Student Conference in Middle Eastern Languages and Literatures