René F. Kizilcec

Orcid: 0000-0001-6283-5546

According to our database1, René F. Kizilcec authored at least 77 papers between 2013 and 2024.

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Bibliography

2024
Remote Learning and Work.
IEEE Internet Comput., 2024

A new model of trust based on neural information processing.
CoRR, 2024

To Advance AI Use in Education, Focus on Understanding Educators.
Int. J. Artif. Intell. Educ., 2024

Which Planning Tactics Predict Online Course Completion?
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023
From emergency to sustainable online learning: Changes and disparities in undergraduate course grades and experiences in the context of COVID-19.
Comput. Educ., October, 2023

The social consequences of Machine Allocation Behavior: Fairness, interpersonal perceptions and performance.
Comput. Hum. Behav., September, 2023

Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach.
J. Learn. Anal., 2023

Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda.
Hum. Comput., 2023

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.
CoRR, 2023

Cultural Differences in Students' Privacy Concerns in Learning Analytics across Germany, South Korea, Spain, Sweden, and the United States.
CoRR, 2023

Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries.
CoRR, 2023

Auditing and Mitigating Cultural Bias in LLMs.
CoRR, 2023

Fairness Hub Technical Briefs: AUC Gap.
CoRR, 2023

Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters.
CoRR, 2023

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.
CoRR, 2023

Educator and Student Perspectives on the Impact of Generative AI on Assessments in Higher Education.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Developing a Prototype to Scale up Digital Support for Online Assessment Design.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

The Role of Gender in Students' Privacy Concerns about Learning Analytics: Evidence from five countries.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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.
Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Structures in Online Discussion Forums: Promoting Inclusion or Exclusion?
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Equity, Diversity, and Inclusion in Educational Technology Research and Development.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
Beyond one-size-fits-all in MOOCs: Variation in learning design and persistence of learners in different cultural and socioeconomic contexts.
Comput. Hum. Behav., 2022

Large-scale Analysis of Discussion Networks in College Courses.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Effects of Framing Professional Development as a Career Growth Opportunity on Course Completion.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Measuring Cultural Dimensions of Learning in Online Courses.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Pathways: Exploring Academic Interests with Historical Course Enrollment Records.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

A Review of Learning Analytics Dashboard Research in Higher Education: Implications for Justice, Equity, Diversity, and Inclusion.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

How to Assess Student Learning in Information Science: Exploratory Evidence from Large College Courses.
Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022

2021
Investigating Technostress Among Teachers in Low-Income Indian Schools.
Proc. ACM Hum. Comput. Interact., 2021

On the limits of algorithmic prediction across the globe.
CoRR, 2021

Artificial intelligence in communication impacts language and social relationships.
CoRR, 2021

Combating sharenting: Interventions to alter parents' attitudes toward posting about their children online.
Comput. Hum. Behav., 2021

Should College Dropout Prediction Models Include Protected Attributes?
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Learning Analytics Dashboard Research Has Neglected Diversity, Equity and Inclusion.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Student Perceptions of Social Support in the Transition to Emergency Remote Instruction.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Using Social Norms to Promote Actions Beyond the Course.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Applying the Behavior Change Technique Taxonomy from Public Health Interventions to Educational Research.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Delivery Ghost: Effects of Language Immersion and Interactivity in a Language Learning Game.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Investigating variation in learning processes in a FutureLearn MOOC.
J. Comput. High. Educ., 2020

Algorithmic Fairness in Education.
CoRR, 2020

Evaluation of Fairness Trade-offs in Predicting Student Success.
CoRR, 2020

Student Engagement in Mobile Learning via Text Message.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Examining Sources of Variation in Student Confusion in College Classes.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Designing Inclusive Learning Environments.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Return of the Student: Predicting Re-Engagement in Mobile Learning.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Welcome to the Course: Early Social Cues Influence Women's Persistence in Computer Science.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
How Teachers in India Reconfigure their Work Practices around a Teacher-Oriented Technology Intervention.
Proc. ACM Hum. Comput. Interact., 2019

Can a diversity statement increase diversity in MOOCs?
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Growth Mindset Predicts Student Achievement and Behavior in Mobile Learning.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Psychologically Inclusive Design: Cues Impact Women's Participation in STEM Education.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Scaling Effective Learning Strategies: Retrieval Practice and Long-Term Knowledge Retention in MOOCs.
J. Learn. Anal., November, 2018

Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses.
Comput. Hum. Behav., 2018

How a data-driven course planning tool affects college students' GPA: evidence from two field experiments.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

The half-life of MOOC knowledge: a randomized trial evaluating knowledge retention and retrieval practice in MOOCs.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Social Influence and Reciprocity in Online Gift Giving.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses.
Comput. Educ., 2017

Towards Equal Opportunities in MOOCs: Affirmation Reduces Gender & Social-Class Achievement Gaps in China.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Follow the successful crowd: raising MOOC completion rates through social comparison at scale.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

2016
Social robots and virtual agents as lecturers for video instruction.
Comput. Hum. Behav., 2016

Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

How Much Information?: Effects of Transparency on Trust in an Algorithmic Interface.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Motivation as a Lens to Understand Online Learners: Toward Data-Driven Design with the OLEI Scale.
ACM Trans. Comput. Hum. Interact., 2015

Attrition and Achievement Gaps in Online Learning.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

To Play or Not to Play: Interactions between Response Quality and Task Complexity in Games and Paid Crowdsourcing.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

2014
"Why did you enroll in this course?": developing a standardized survey question for reasons to enroll.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Reducing non-response bias with survey reweighting: applications for online learning researchers.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Anonymity in Social Media: Effects of Content Controversiality and Social Endorsement on Sharing Behavior.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Learning innovation at scale.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Showing face in video instruction: effects on information retention, visual attention, and affect.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Deconstructing disengagement: analyzing learner subpopulations in massive open online courses.
Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Collaborative Learning in Geographically Distributed and In-person Groups.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013


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