Christopher Brooks

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 67

Top Topics

Predictive Model

Student Success

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Anjali Singh, Anna Fariha, Christopher Brooks, Gustavo Soares, Austin Z. Henley, Ashish Tiwari, Chethan M, Heeryung Choi, Sumit Gulwani
Investigating Student Mistakes in Introductory Data Science Programming. SIGCSE (1) (2024)
April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
"Don't Step on My Toes": Resolving Editing Conflicts in Real-Time Collaboration in Computational Notebooks. CoRR (2024)
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK (2024)
Kaiwen Sun, Jingjie Li, Yixin Zou, Jenny S. Radesky, Christopher Brooks, Florian Schaub
Unfulfilled Promises of Child Safety and Privacy: Portrayals and Use of Children in Smart Home Marketing. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Warren Li, Christopher Brooks
Influence on Judgements of Learning Given Perceived AI Annotations. L@S (2024)
Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S (2024)
Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec
The Life Cycle of Large Language Models: A Review of Biases in Education. CoRR (2024)
Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Wilson
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. LAK (2024)
Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Pandey
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. CoRR (2023)
Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. CoRR (2023)
Zihan Wu, Barbara J. Ericson, Christopher Brooks
Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions. ITiCSE (1) (2023)
Joshua Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. FAccT (2023)
Heeryung Choi, Jelena Jovanovic, Oleksandra Poquet, Christopher Brooks, Srecko Joksimovic, Joseph Jay Williams
The benefit of reflection prompts for encouraging learning with hints in an online programming course. Internet High. Educ. 58 (2023)
Heeryung Choi, Philip H. Winne, Christopher Brooks, Warren Li, Kerby Shedden
Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation. LAK (2023)
April Yi Wang, Andrew Head, Ashley Ge Zhang, Steve Oney, Christopher Brooks
Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. CHI (2023)
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. CoRR (2023)
Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks
Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. Br. J. Educ. Technol. 53 (4) (2022)
Warren Li, Kaiwen Sun, Florian Schaub, Christopher Brooks
Disparities in Students' Propensity to Consent to Learning Analytics. Int. J. Artif. Intell. Educ. 32 (3) (2022)
Heeryung Choi, Caitlin Mills, Christopher Brooks, Stephen Doherty, Anjali Singh
Design Recommendations for Using Textual Aids in Data-Science Programming Courses. SIGCSE (1) (2022)
Oleksandra Poquet, Quan Nguyen, Vitomir Kovanovic, Christopher Brooks, Shane Dawson, Alexandre Biotteau
Grade-based similarity prevails in online course forums at scale. Comput. Educ. 178 (2022)
Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi
Learnersourcing: Student-generated Content @ Scale. L@S (2022)
Anjali Singh, Christopher Brooks, Shayan Doroudi
Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. L@S (2022)
April Yi Wang, Yan Chen, John Joon Young Chung, Christopher Brooks, Steve Oney
PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Kaiwen Sun, Yixin Zou, Jenny S. Radesky, Christopher Brooks, Florian Schaub
Child Safety in the Smart Home: Parents' Perceptions, Needs, and Mitigation Strategies. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Christopher Brooks, Rebecca M. Quintana, Heeryung Choi, Chris Quintana, Timothy NeCamp, Joshua Gardner
Towards Culturally Relevant Personalization at Scale: Experiments with Data Science Learners. Int. J. Artif. Intell. Educ. 31 (3) (2021)
Anjali Singh, Christopher Brooks, Yiwen Lin, Warren Li
What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC. L@S (2021)
April Yi Wang, Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney, Christopher Brooks
What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle. CHI Extended Abstracts (2021)
Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks
Exploring the Relationship between Emergent Sociocognitive Roles, Collaborative Problem- Solving Skills and Outcomes: A Group Communication Analysis. J. Learn. Anal. 7 (1) (2020)
April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives. CHI (2020)
Christopher Brooks, René F. Kizilcec, Nia Dowell
Designing Inclusive Learning Environments. L@S (2020)
Quan Nguyen, Oleksandra Poquet, Christopher Brooks, Warren Li
Exploring homophily in demographics and academic performance using spatial-temporal student networks. EDM (2020)
Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi, Christopher Brooks
Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning. LAK (2019)
Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. EDM (2019)
Josh Gardner, Christopher Brooks, Ryan Baker
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. LAK (2019)
Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks
Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning. AIED (1) (2019)
Heeryung Choi, Nia Dowell, Christopher Brooks, Stephanie D. Teasley
Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality. LAK (2019)
April Yi Wang, Anant Mittal, Christopher Brooks, Steve Oney
How Data Scientists Use Computational Notebooks for Real-Time Collaboration. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Wenfei Yan, Nia Dowell, Caitlin Holman, Stephen S. Welsh, Heeryung Choi, Christopher Brooks
Exploring Learner Engagement Patterns in Teach-Outs Using Topic, Sentiment and On-topicness to Reflect on Pedagogy. LAK (2019)
Timothy NeCamp, Josh Gardner, Christopher Brooks
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. LAK (2019)
Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. CoRR (2018)
Timothy NeCamp, Josh Gardner, Christopher Brooks
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. CoRR (2018)
Josh Gardner, Christopher Brooks
Coenrollment networks and their relationship to grades in undergraduate education. LAK (2018)
Josh Gardner, Christopher Brooks
Student success prediction in MOOCs. User Model. User Adapt. Interact. 28 (2) (2018)
Joshua Patrick Gardner, Christopher Brooks, Warren Li
Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses. J. Learn. Anal. 5 (3) (2018)
Rebecca M. Quintana, Christopher Brooks, Cinzia Villanucci Smothers, Yuanru Tan, Zheng Yao, Chinmay Kulkarni
Mentor Academy: Engaging Global Learners in the Creation of Data Science Problems for MOOCs. ICLS (2018)
Jing Hu, Nia Dowell, Christopher Brooks, Wenfei Yan
Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse. AIED (2) (2018)
Steve Oney, Christopher Brooks, Paul Resnick
Creating Guided Code Explanations with chat.codes. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Christopher Brooks, Josh Gardner, Kaifeng Chen
How Gender Cues in Educational Video Impact Participation and Retention. ICLS (2018)
Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. IEEE BigData (2018)
Oleksandra Poquet, Nia Dowell, Christopher Brooks, Shane Dawson
Are MOOC forums changing? LAK (2018)
Josh Gardner, Christopher Brooks
Dropout Model Evaluation in MOOCs. AAAI (2018)
Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. CoRR (2018)
Nia Dowell, Oleksandra Poquet, Christopher Brooks
Applying Group Communication Analysis to Educational Discourse Interactions at Scale. ICLS (2018)
Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker
Replicating MOOC predictive models at scale. L@S (2018)
Joshua Patrick Gardner, Christopher Brooks
Evaluating Predictive Models of Student Success: Closing the Methodological Gap. J. Learn. Anal. 5 (2) (2018)
Heeryung Choi, Nia Dowell, Christopher Brooks
Social Comparison Theory as Applied to MOOC Student Writing: Constructs for Opinion and Ability. ICLS (2018)
Josh Gardner, Christopher Brooks
Dropout Model Evaluation in MOOCs. CoRR (2018)
Josh Gardner, Christopher Brooks
Evaluating Predictive Models of Student Success: Closing the Methodological Gap. CoRR (2018)
Josh Gardner, Christopher Brooks
Toward Replicable Predictive Model Evaluation in MOOCs. EDM (2017)
Josh Gardner, Christopher Brooks
A Statistical Framework for Predictive Model Evaluation in MOOCs. L@S (2017)
Christopher Brooks, Ryan Baker, Juan Miguel Limjap Andres
Infrastructure for Replication in Learning Analytics. MLA/BLAC@LAK (2017)
Josh Gardner, Ogechi Onuoha, Christopher Brooks
Integrating syllabus data into student success models. LAK (2017)
Heeryung Choi, Christopher Brooks, Kevyn Collins-Thompson
What does student writing tell us about their thinking on social justice? LAK (2017)
Josh Gardner, Christopher Brooks
Student Success Prediction in MOOCs. CoRR (2017)
Heeryung Choi, Zijian Wang, Christopher Brooks, Kevyn Collins-Thompson, Beth Glover Reed, Dale Fitch
Social work in the classroom? A tool to evaluate topical relevance in student writing. EDM (2017)
Josh Gardner, Christopher Brooks
Statistical Approaches to the Model Comparison Task in Learning Analytics. MLA/BLAC@LAK (2017)
Katharina Reinecke, David R. Flatla, Christopher Brooks
Enabling Designers to Foresee Which Colors Users Cannot See. CHI (2016)
Steven Lonn, Christopher Brooks, Zachary A. Pardos, Barry W. Peddycord III, Emily Schneider, Ido Roll, Ashley Shaw
MOOCShop 2014. ICLS (2014)
Sasa Junuzovic, Kori Inkpen, Rajesh Hegde, Zhengyou Zhang, John C. Tang, Christopher Brooks
What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing. CHI (2011)
Kori Inkpen, Rajesh Hegde, Sasa Junuzovic, Christopher Brooks, John C. Tang, Zhengyou Zhang
AIR conferencing: accelerated instant replay for in-meeting multimodal review. ACM Multimedia (2010)