Christopher Brooks

87 papers A* 7A 12B 13Journal 33Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	"Families are messy": From Parent-Child Tensions to Family-Centered Design of Smart Home Technologies. CHI Kaiwen Sun, Jade Xiaoyi Li, Irene Chung, Jenny S. Radesky, Jason Yip, Christopher Brooks, Florian Schaub
2026	—	`conf`	Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education. SIGCSE (1) Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla
2025	J	`jnl`	Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints. CoRR Tung Phung, Mengyan Wu, Heeryung Choi, Gustavo Soares, Sumit Gulwani, Adish Singla, Christopher Brooks
2025	J	`jnl`	Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education. CoRR Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla
2025	—	`conf`	Evaluating an AI Tutor for Bias Across Different Foundation Models. AIED (6) Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke, René F. Kizilcec
2025	—	`conf`	Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education. AIED (1) Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla, Christopher Brooks
2025	J	`jnl`	Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education. CoRR Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla, Christopher Brooks
2025	J	`jnl`	Reflection-Satisfaction Tradeoff: Investigating Impact of Reflection on Student Engagement with AI-Generated Programming Hints. CoRR Heeryung Choi, Tung Phung, Mengyan Wu, Adish Singla, Christopher Brooks
2025	B	`conf`	Understanding Predictive Models of Student Success with a Multiverse Analysis. EDM Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, René F. Kizilcec, Christopher Brooks
2025	J	`jnl`	When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts. CoRR Chengyuan Yao, Yunxuan Tang, Christopher Brooks, René F. Kizilcec, Renzhe Yu
2024	J	`jnl`	"Don't Step on My Toes": Resolving Editing Conflicts in Real-Time Collaboration in Computational Notebooks. CoRR April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
2024	A	`conf`	Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
2024	A	`conf`	Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. LAK Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Wilson
2024	—	`conf`	Don't Step on My Toes: Resolving Editing Conflicts in Real-Time Collaboration in Computational Notebooks. IDE@ICSE April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
2024	J	`jnl`	Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift. CoRR Nicolás Acevedo, Carmen Cortez, Christopher Brooks, René F. Kizilcec, Renzhe Yu
2024	B	`conf`	Influence on Judgements of Learning Given Perceived AI Annotations. L@S Warren Li, Christopher Brooks
2024	—	`conf`	Investigating Student Mistakes in Introductory Data Science Programming. SIGCSE (1) Anjali Singh, Anna Fariha, Christopher Brooks, Gustavo Soares, Austin Z. Henley, Ashish Tiwari, Chethan M, Heeryung Choi, Sumit Gulwani
2024	B	`conf`	Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper
2024	J	`jnl`	The Life Cycle of Large Language Models: A Review of Biases in Education. CoRR Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec
2024	J	`jnl`	The life cycle of large language models in education: A framework for understanding sources of bias. Br. J. Educ. Technol. Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec
2024	J	`jnl`	Unfulfilled Promises of Child Safety and Privacy: Portrayals and Use of Children in Smart Home Marketing. Proc. ACM Hum. Comput. Interact. Kaiwen Sun, Jingjie Li, Yixin Zou, Jenny S. Radesky, Christopher Brooks, Florian Schaub
2023	J	`jnl`	Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. CoRR Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
2023	J	`jnl`	Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. CoRR Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Pandey
2023	A*	`conf`	Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. CHI April Yi Wang, Andrew Head, Ashley Ge Zhang, Steve Oney, Christopher Brooks
2023	—	`conf`	Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. FAccT Joshua Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
2023	J	`jnl`	Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. CoRR Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
2023	—	`conf`	Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper
2023	J	`jnl`	Fairness Hub Technical Briefs: AUC Gap. CoRR Jinsook Lee, Christopher Brooks, Renzhe Yu, René F. Kizilcec
2023	A	`conf`	Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation. LAK Heeryung Choi, Philip H. Winne, Christopher Brooks, Warren Li, Kerby Shedden
2023	—	`ed.`	Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023. LLM@AIED Steven Moore, John C. Stamper, Richard Jiarui Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Christopher Brooks
2023	—	`ed.`	Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), New York City, United States, June 1, 2022. LSGCS@L@S Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks
2023	J	`jnl`	The benefit of reflection prompts for encouraging learning with hints in an online programming course. Internet High. Educ. Heeryung Choi, Jelena Jovanovic, Oleksandra Poquet, Christopher Brooks, Srecko Joksimovic, Joseph Jay Williams
2023	—	`conf`	Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions. ITiCSE (1) Zihan Wu, Barbara J. Ericson, Christopher Brooks
2022	J	`jnl`	Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. Br. J. Educ. Technol. Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks
2022	—	`conf`	Design Recommendations for Using Textual Aids in Data-Science Programming Courses. SIGCSE (1) Heeryung Choi, Caitlin Mills, Christopher Brooks, Stephen Doherty, Anjali Singh
2022	J	`jnl`	Disparities in Students' Propensity to Consent to Learning Analytics. Int. J. Artif. Intell. Educ. Warren Li, Kaiwen Sun, Florian Schaub, Christopher Brooks
2022	J	`jnl`	Grade-based similarity prevails in online course forums at scale. Comput. Educ. Oleksandra Poquet, Quan Nguyen, Vitomir Kovanovic, Christopher Brooks, Shane Dawson, Alexandre Biotteau
2022	B	`conf`	Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. L@S Anjali Singh, Christopher Brooks, Shayan Doroudi
2022	B	`conf`	Learnersourcing: Student-generated Content @ Scale. L@S Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi
2021	J	`jnl`	Child Safety in the Smart Home: Parents' Perceptions, Needs, and Mitigation Strategies. Proc. ACM Hum. Comput. Interact. Kaiwen Sun, Yixin Zou, Jenny S. Radesky, Christopher Brooks, Florian Schaub
2021	J	`jnl`	PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises. Proc. ACM Hum. Comput. Interact. April Yi Wang, Yan Chen, John Joon Young Chung, Christopher Brooks, Steve Oney
2021	J	`jnl`	Towards Culturally Relevant Personalization at Scale: Experiments with Data Science Learners. Int. J. Artif. Intell. Educ. Christopher Brooks, Rebecca M. Quintana, Heeryung Choi, Chris Quintana, Timothy NeCamp, Joshua Gardner
2021	—	`conf`	What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle. CHI Extended Abstracts April Yi Wang, Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney, Christopher Brooks
2021	B	`conf`	What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC. L@S Anjali Singh, Christopher Brooks, Yiwen Lin, Warren Li
2020	A*	`conf`	Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives. CHI April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
2020	B	`conf`	Designing Inclusive Learning Environments. L@S Christopher Brooks, René F. Kizilcec, Nia Dowell
2020	B	`conf`	Exploring homophily in demographics and academic performance using spatial-temporal student networks. EDM Quan Nguyen, Oleksandra Poquet, Christopher Brooks, Warren Li
2020	J	`jnl`	Exploring the Relationship between Emergent Sociocognitive Roles, Collaborative Problem- Solving Skills and Outcomes: A Group Communication Analysis. J. Learn. Anal. Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks
2019	A	`conf`	Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. LAK Timothy NeCamp, Josh Gardner, Christopher Brooks
2019	A	`conf`	Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. LAK Josh Gardner, Christopher Brooks, Ryan Baker
2019	A	`conf`	Exploring Learner Engagement Patterns in Teach-Outs Using Topic, Sentiment and On-topicness to Reflect on Pedagogy. LAK Wenfei Yan, Nia Dowell, Caitlin Holman, Stephen S. Welsh, Heeryung Choi, Christopher Brooks
2019	J	`jnl`	How Data Scientists Use Computational Notebooks for Real-Time Collaboration. Proc. ACM Hum. Comput. Interact. April Yi Wang, Anant Mittal, Christopher Brooks, Steve Oney
2019	B	`conf`	Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. EDM Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks
2019	A	`conf`	Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning. LAK Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi, Christopher Brooks
2019	—	`conf`	Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning. AIED (1) Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks
2019	A	`conf`	Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality. LAK Heeryung Choi, Nia Dowell, Christopher Brooks, Stephanie D. Teasley
2018	—	`conf`	Applying Group Communication Analysis to Educational Discourse Interactions at Scale. ICLS Nia Dowell, Oleksandra Poquet, Christopher Brooks
2018	A	`conf`	Are MOOC forums changing? LAK Oleksandra Poquet, Nia Dowell, Christopher Brooks, Shane Dawson
2018	J	`jnl`	Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. CoRR Timothy NeCamp, Josh Gardner, Christopher Brooks
2018	A	`conf`	Coenrollment networks and their relationship to grades in undergraduate education. LAK Josh Gardner, Christopher Brooks
2018	J	`jnl`	Creating Guided Code Explanations with chat.codes. Proc. ACM Hum. Comput. Interact. Steve Oney, Christopher Brooks, Paul Resnick
2018	A*	`conf`	Dropout Model Evaluation in MOOCs. AAAI Josh Gardner, Christopher Brooks
2018	J	`jnl`	Dropout Model Evaluation in MOOCs. CoRR Josh Gardner, Christopher Brooks
2018	J	`jnl`	Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. CoRR Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks
2018	J	`jnl`	Evaluating Predictive Models of Student Success: Closing the Methodological Gap. CoRR Josh Gardner, Christopher Brooks
2018	J	`jnl`	Evaluating Predictive Models of Student Success: Closing the Methodological Gap. J. Learn. Anal. Joshua Patrick Gardner, Christopher Brooks
2018	—	`conf`	How Gender Cues in Educational Video Impact Participation and Retention. ICLS Christopher Brooks, Josh Gardner, Kaifeng Chen
2018	J	`jnl`	Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses. J. Learn. Anal. Joshua Patrick Gardner, Christopher Brooks, Warren Li
2018	J	`jnl`	MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. CoRR Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker
2018	—	`conf`	MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. IEEE BigData Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker
2018	—	`conf`	Mentor Academy: Engaging Global Learners in the Creation of Data Science Problems for MOOCs. ICLS Rebecca M. Quintana, Christopher Brooks, Cinzia Villanucci Smothers, Yuanru Tan, Zheng Yao, Chinmay Kulkarni
2018	B	`conf`	Replicating MOOC predictive models at scale. L@S Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker
2018	—	`conf`	Social Comparison Theory as Applied to MOOC Student Writing: Constructs for Opinion and Ability. ICLS Heeryung Choi, Nia Dowell, Christopher Brooks
2018	J	`jnl`	Student success prediction in MOOCs. User Model. User Adapt. Interact. Josh Gardner, Christopher Brooks
2018	—	`conf`	Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse. AIED (2) Jing Hu, Nia Dowell, Christopher Brooks, Wenfei Yan
2017	B	`conf`	A Statistical Framework for Predictive Model Evaluation in MOOCs. L@S Josh Gardner, Christopher Brooks
2017	—	`conf`	Infrastructure for Replication in Learning Analytics. MLA/BLAC@LAK Christopher Brooks, Ryan Baker, Juan Miguel Limjap Andres
2017	A	`conf`	Integrating syllabus data into student success models. LAK Josh Gardner, Ogechi Onuoha, Christopher Brooks
2017	B	`conf`	Social work in the classroom? A tool to evaluate topical relevance in student writing. EDM Heeryung Choi, Zijian Wang, Christopher Brooks, Kevyn Collins-Thompson, Beth Glover Reed, Dale Fitch
2017	—	`conf`	Statistical Approaches to the Model Comparison Task in Learning Analytics. MLA/BLAC@LAK Josh Gardner, Christopher Brooks
2017	J	`jnl`	Student Success Prediction in MOOCs. CoRR Josh Gardner, Christopher Brooks
2017	B	`conf`	Toward Replicable Predictive Model Evaluation in MOOCs. EDM Josh Gardner, Christopher Brooks
2017	A	`conf`	What does student writing tell us about their thinking on social justice? LAK Heeryung Choi, Christopher Brooks, Kevyn Collins-Thompson
2016	A*	`conf`	Enabling Designers to Foresee Which Colors Users Cannot See. CHI Katharina Reinecke, David R. Flatla, Christopher Brooks
2014	—	`conf`	MOOCShop 2014. ICLS Steven Lonn, Christopher Brooks, Zachary A. Pardos, Barry W. Peddycord III, Emily Schneider, Ido Roll, Ashley Shaw
2011	A*	`conf`	What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing. CHI Sasa Junuzovic, Kori Inkpen, Rajesh Hegde, Zhengyou Zhang, John C. Tang, Christopher Brooks
2010	A*	`conf`	AIR conferencing: accelerated instant replay for in-meeting multimodal review. ACM Multimedia Kori Inkpen, Rajesh Hegde, Sasa Junuzovic, Christopher Brooks, John C. Tang, Zhengyou Zhang