Versioning of Learning Objects. - Christopher A. Brooks 001; John Cooke; Julita Vassileva (ICALT, 2003)

Learning Objects on the Semantic Web. - Permanand Mohan; Christopher A. Brooks 001 (ICALT, 2003)

Engineering a Future for Web-Based Learning Objects. - Permanand Mohan; Christopher A. Brooks 001 (ICWE, 2003)

The Massive User Modelling System (MUMS). - Christopher A. Brooks 001; Mike Winter; Jim E. Greer; Gordon I. McCalla (Intelligent Tutoring Systems, 2004)

Supporting Privacy in E-Learning with Semantic Streams. - Lori Kettel; Christopher A. Brooks 001; Jim E. Greer (PST, 2004)

Towards Best Practices for Semantic Web Student Modelling. - Mike Winter; Christopher A. Brooks 001; Jim E. Greer (AIED, 2005)

Awareness and Collaboration in the iHelp Courses Content Management System. - Christopher A. Brooks 001; Rupi Panesar; Jim E. Greer (EC-TEL, 2006)

Ontologies to Support Learning Design Context. - Jelena Jovanovic 001; Dragan Gasevic; Christopher A. Brooks 001; Colin Knight; Griff Richards; Gordon I. McCalla (EC-TEL, 2006)

Applying the Agent Metaphor to Learning Content Management Systems and Learning Object Repositories. - Christopher A. Brooks 001; Scott Bateman; Gordon I. McCalla; Jim E. Greer (Intelligent Tutoring Systems, 2006)

Combining ITS and eLearning Technologies: Opportunities and Challenges. - Christopher A. Brooks 001; Jim E. Greer; Erica Melis; Carsten Ullrich (Intelligent Tutoring Systems, 2006)

Privacy enhanced personalization in e-learning. - Mohd M. Anwar; Jim E. Greer; Christopher A. Brooks 001 (PST, 2006)

LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments. - Jelena Jovanovic 001; Dragan Gasevic; Christopher A. Brooks 001; Vladan Devedzic; Marek Hatala (EC-TEL, 2007)

Leveraging the Semantic Web for Providing Educational Feedback. - Jelena Jovanovic 001; Dragan Gasevic; Christopher A. Brooks 001; Timmy Eap; Vladan Devedzic; Marek Hatala; Griff Richards (ICALT, 2007)

Using Semantic Web Technologies to Analyze Learning Content. - Jelena Jovanovic 001; Dragan Gasevic; Christopher A. Brooks 001; Vladan Devedzic; Marek Hatala; Timmy Eap; Griff Richards (IEEE Internet Comput., 2007)

Distributed Image Processing for Automated Lecture Capture Post-Production. - Craig Thompson; Christopher A. Brooks 001; Jim E. Greer (ISM, 2008)

Lessons Learned using Social and Semantic Web Technologies for E-Learning. - Christopher A. Brooks 001; Scott Bateman; Jim E. Greer; Gord McCalla (Semantic Web Technologies for e-Learning, 2009)

Detecting Significant Events in Lecture Video using Supervised Machine Learning. - Christopher A. Brooks 001; Kristofor Amundson; Jim E. Greer (AIED, 2009)

Useful junk?: the effects of visual embellishment on comprehension and memorability of charts. - Scott Bateman; Regan L. Mandryk; Carl Gutwin; Aaron Genest; David McDine; Christopher A. Brooks 001 (CHI, 2010)

AIR conferencing: accelerated instant replay for in-meeting multimodal review. - Kori Inkpen; Rajesh Hegde; Sasa Junuzovic; Christopher Brooks 001; John C. Tang; Zhengyou Zhang (ACM Multimedia, 2010)

What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing. - Sasa Junuzovic; Kori Inkpen; Rajesh Hegde; Zhengyou Zhang; John C. Tang; Christopher Brooks 001 (CHI, 2011)

The who, what, when, and why of lecture capture. - Christopher A. Brooks 001; Carrie Demmans Epp; Greg Logan; Jim E. Greer (LAK, 2011)

OpenCast Matterhorn 1.1: reaching new heights. - Christopher A. Brooks 001; Markus Ketterl; Adam Hochman; Josh Holtzman; Judy Stern; Tobias Wunden; Kristofor Amundson; Greg Logan; Kenneth Lui; Adam McKenzie; Denis Meyer; Markus Moormann; et al. (ACM Multimedia, 2011)

Using an instructional expert to mediate the locus of control in adaptive e-learning systems. - Christopher A. Brooks 001; Jim E. Greer; Carl Gutwin (LAK, 2012)

Detecting and Categorizing Indices in Lecture Video Using Supervised Machine Learning. - Christopher A. Brooks 001; G. Scott Johnston; Craig Thompson; Jim E. Greer (Canadian AI, 2013)

MOOCShop 2014. - Steven Lonn; Christopher Brooks 001; Zachary A. Pardos; Barry W. Peddycord III; Emily Schneider; Ido Roll; Ashley Shaw (ICLS, 2014)

Explaining predictive models to learning specialists using personas. - Christopher A. Brooks 001; Jim E. Greer (LAK, 2014)

Towards A General Method for Building Predictive Models of Learner Success using Educational Time Series Data. - Christopher A. Brooks 001; Craig Thompson; Stephanie D. Teasley (LAK Workshops, 2014)

Modelling and quantifying the behaviours of students in lecture capture environments. - Christopher A. Brooks 001; Graham Erickson; Jim E. Greer; Carl Gutwin (Comput. Educ., 2014)

Guest editorial. - Markus Ketterl; Christopher A. Brooks 001; Florian Schimanke (Interact. Technol. Smart Educ., 2014)

Detecting and Visualizing Filter Bubbles in Google and Bing. - Tawanna R. Dillahunt; Christopher A. Brooks 001; Samarth Gulati (CHI Extended Abstracts, 2015)

Reducing selection bias in quasi-experimental educational studies. - Christopher A. Brooks 001; Omar Chavez; Jared Tritz; Stephanie D. Teasley (LAK, 2015)

A time series interaction analysis method for building predictive models of learners using log data. - Christopher A. Brooks 001; Craig Thompson; Stephanie D. Teasley (LAK, 2015)

Learn With Friends: The Effects of Student Face-to-Face Collaborations on Massive Open Online Course Activities. - Christopher A. Brooks 001; Caren Stalburg; Tawanna Dillahunt; Lionel Robert 001 (L@S, 2015)

Who You Are or What You Do: Comparing the Predictive Power of Demographics vs. Activity Patterns in Massive Open Online Courses (MOOCs). - Christopher A. Brooks 001; Craig Thompson; Stephanie D. Teasley (L@S, 2015)

Enabling Designers to Foresee Which Colors Users Cannot See. - Katharina Reinecke; David R. Flatla; Christopher Brooks 001 (CHI, 2016)

Introduction to data mining for educational researchers. - Christopher A. Brooks 001; Craig Thompson; Vitomir Kovanovic (LAK, 2016)

Social work in the classroom? A tool to evaluate topical relevance in student writing. - Heeryung Choi; Zijian Wang 002; Christopher Brooks 001; Kevyn Collins-Thompson; Beth Glover Reed; Dale Fitch (EDM, 2017)

Toward Replicable Predictive Model Evaluation in MOOCs. - Josh Gardner 001; Christopher Brooks 001 (EDM, 2017)

Infrastructure for Replication in Learning Analytics. - Christopher Brooks 001; Ryan Baker 001; Juan Miguel Limjap Andres (MLA/BLAC@LAK, 2017)

Challenges and opportunities facing educational discourse researchers. - Christopher A. Brooks 001; Stephanie D. Teasley; George Siemens (LAK, 2017)

What does student writing tell us about their thinking on social justice? - Heeryung Choi; Christopher Brooks 001; Kevyn Collins-Thompson (LAK, 2017)

Statistical Approaches to the Model Comparison Task in Learning Analytics. - Josh Gardner 001; Christopher Brooks 001 (MLA/BLAC@LAK, 2017)

Integrating syllabus data into student success models. - Josh Gardner 001; Ogechi Onuoha; Christopher Brooks 001 (LAK, 2017)

The Changing Patterns of MOOC Discourse. - Nia M. Dowell; Christopher A. Brooks 001; Vitomir Kovanovic; Srecko Joksimovic; Dragan Gasevic (L@S, 2017)

A Statistical Framework for Predictive Model Evaluation in MOOCs. - Josh Gardner 001; Christopher Brooks 001 (L@S, 2017)

Dropout Model Evaluation in MOOCs. - Josh Gardner 001; Christopher Brooks 001 (AAAI, 2018)

Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse. - Jing Hu; Nia Dowell; Christopher Brooks 001; Wenfei Yan (AIED (2), 2018)

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. - Josh Gardner 001; Christopher Brooks 001; Juan Miguel L. Andres; Ryan S. Baker 001 (IEEE BigData, 2018)

How Gender Cues in Educational Video Impact Participation and Retention. - Christopher Brooks 001; Josh Gardner 001; Kaifeng Chen (ICLS, 2018)

Social Comparison Theory as Applied to MOOC Student Writing: Constructs for Opinion and Ability. - Heeryung Choi; Nia Dowell; Christopher Brooks 001 (ICLS, 2018)

Applying Group Communication Analysis to Educational Discourse Interactions at Scale. - Nia Dowell; Oleksandra Poquet; Christopher Brooks 001 (ICLS, 2018)

Mentor Academy: Engaging Global Learners in the Creation of Data Science Problems for MOOCs. - Rebecca M. Quintana; Christopher Brooks 001; Cinzia Villanucci Smothers; Yuanru Tan; Zheng Yao; Chinmay Kulkarni 001 (ICLS, 2018)

Coenrollment networks and their relationship to grades in undergraduate education. - Josh Gardner 001; Christopher Brooks 001 (LAK, 2018)

Are MOOC forums changing? - Oleksandra Poquet; Nia Dowell; Christopher Brooks 001; Shane Dawson (LAK, 2018)

Replicating MOOC predictive models at scale. - Josh Gardner 001; Christopher Brooks 001; Juan Miguel L. Andres; Ryan Baker 001 (L@S, 2018)

MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. - Josh Gardner 001; Christopher Brooks 001; Juan Miguel L. Andres; Ryan S. Baker 001 (CoRR, 2018)

Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. - Josh Gardner 001; Yuming Yang; Ryan S. Baker 001; Christopher Brooks 001 (CoRR, 2018)

Creating Guided Code Explanations with chat.codes. - Steve Oney; Christopher Brooks 001; Paul Resnick (Proc. ACM Hum. Comput. Interact., 2018)

Student success prediction in MOOCs. - Josh Gardner 001; Christopher Brooks 001 (User Model. User Adapt. Interact., 2018)

Evaluating Predictive Models of Student Success: Closing the Methodological Gap. - Joshua Patrick Gardner; Christopher Brooks 001 (J. Learn. Anal., 2018)

Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses. - Joshua Patrick Gardner; Christopher Brooks 001; Warren Li (J. Learn. Anal., 2018)

Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning. - Nia Dowell; Yiwen Lin; Andrew Godfrey; Christopher Brooks 001 (AIED (1), 2019)

It's My Data! Tensions Among Stakeholders of a Learning Analytics Dashboard. - Kaiwen Sun; Abraham H. Mhaidli; Sonakshi Watel; Christopher A. Brooks 001; Florian Schaub (CHI, 2019)

Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. - Josh Gardner 001; Yuming Yang; Ryan S. Baker 001; Christopher Brooks 001 (EDM, 2019)

Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality. - Heeryung Choi; Nia Dowell; Christopher Brooks 001; Stephanie D. Teasley (LAK, 2019)

Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. - Josh Gardner 001; Christopher Brooks 001; Ryan Baker 001 (LAK, 2019)

The Impact of Student Opt-Out on Educational Predictive Models. - Warren Li; Christopher A. Brooks 001; Florian Schaub (LAK, 2019)

Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning. - Yiwen Lin; Nia Dowell; Andrew Godfrey; Heeryung Choi; Christopher Brooks 001 (LAK, 2019)

Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. - Timothy NeCamp; Josh Gardner 001; Christopher Brooks 001 (LAK, 2019)

Exploring Learner Engagement Patterns in Teach-Outs Using Topic, Sentiment and On-topicness to Reflect on Pedagogy. - Wenfei Yan; Nia Dowell; Caitlin Holman 001; Stephen S. Welsh; Heeryung Choi; Christopher Brooks 001 (LAK, 2019)

How Data Scientists Use Computational Notebooks for Real-Time Collaboration. - April Yi Wang; Anant Mittal; Christopher Brooks 001; Steve Oney (Proc. ACM Hum. Comput. Interact., 2019)

Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives. - April Yi Wang; Zihan Wu 002; Christopher Brooks 001; Steve Oney (CHI, 2020)

Exploring homophily in demographics and academic performance using spatial-temporal student networks. - Quan Nguyen 003; Oleksandra Poquet; Christopher Brooks 001; Warren Li (EDM, 2020)

Designing Inclusive Learning Environments. - Christopher Brooks 001; René F. Kizilcec; Nia Dowell (L@S, 2020)

Exploring the Relationship between Emergent Sociocognitive Roles, Collaborative Problem- Solving Skills and Outcomes: A Group Communication Analysis. - Nia Dowell; Yiwen Lin; Andrew Godfrey; Christopher Brooks 001 (J. Learn. Anal., 2020)

What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle. - April Yi Wang; Dakuo Wang; Jaimie Drozdal; Xuye Liu; Soya Park; Steve Oney; Christopher Brooks 001 (CHI Extended Abstracts, 2021)

Regex Parsons: Using Horizontal Parsons Problems to Scaffold Learning Regex. - Zihan Wu 002; Barbara Ericson; Christopher A. Brooks 001 (Koli Calling, 2021)

What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC. - Anjali Singh; Christopher Brooks 001; Yiwen Lin; Warren Li (L@S, 2021)

Towards Culturally Relevant Personalization at Scale: Experiments with Data Science Learners. - Christopher Brooks 001; Rebecca M. Quintana; Heeryung Choi; Chris Quintana; Timothy NeCamp; Joshua Gardner 001 (Int. J. Artif. Intell. Educ., 2021)

Child Safety in the Smart Home: Parents' Perceptions, Needs, and Mitigation Strategies. - Kaiwen Sun; Yixin Zou; Jenny S. Radesky; Christopher Brooks 001; Florian Schaub (Proc. ACM Hum. Comput. Interact., 2021)

PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises. - April Yi Wang; Yan Chen 033; John Joon Young Chung; Christopher Brooks 001; Steve Oney (Proc. ACM Hum. Comput. Interact., 2021)

Learnersourcing: Student-generated Content @ Scale. - Steven Moore; John C. Stamper; Christopher Brooks 001; Paul Denny 001; Hassan Khosravi (L@S, 2022)

Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. - Anjali Singh; Christopher Brooks 001; Shayan Doroudi (L@S, 2022)

Design Recommendations for Using Textual Aids in Data-Science Programming Courses. - Heeryung Choi; Caitlin Mills 001; Christopher Brooks 001; Stephen Doherty; Anjali Singh (SIGCSE (1), 2022)

Disparities in Students' Propensity to Consent to Learning Analytics. - Warren Li; Kaiwen Sun; Florian Schaub; Christopher Brooks 001 (Int. J. Artif. Intell. Educ., 2022)

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. - Stephen Hutt; Ryan S. Baker 001; Michael Mogessie Ashenafi; Juan Miguel L. Andres-Bray; Christopher Brooks 001 (Br. J. Educ. Technol., 2022)

Grade-based similarity prevails in online course forums at scale. - Oleksandra Poquet; Quan Nguyen 003; Vitomir Kovanovic; Christopher Brooks 001; Shane Dawson; Alexandre Biotteau (Comput. Educ., 2022)

Empowering Education with LLMs - The Next-Gen Interface and Content Generation. - Steven Moore; Richard Jiarui Tong; Anjali Singh; Zitao Liu 001; Xiangen Hu; Yu Lu 003; Joleen Liang; Chen Cao 005; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; John C. Stamper (AIED (Posters/Late Breaking Results/...), 2023)

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. - April Yi Wang; Andrew Head; Ashley Ge Zhang; Steve Oney; Christopher Brooks 001 (CHI, 2023)

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. - Joshua Gardner 001; Renzhe Yu; Quan Nguyen 003; Christopher Brooks 001; René F. Kizilcec (FAccT, 2023)

Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions. - Zihan Wu 002; Barbara J. Ericson; Christopher Brooks 001 (ITiCSE (1), 2023)

Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation. - Heeryung Choi; Philip H. Winne; Christopher Brooks 001; Warren Li; Kerby Shedden (LAK, 2023)

Fairness Hub Technical Briefs: AUC Gap. - Jinsook Lee; Christopher Brooks 001; Renzhe Yu; René F. Kizilcec (CoRR, 2023)

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. - Anjali Singh; Christopher Brooks 001; Xu Wang 016; Warren Li; Juho Kim 001; Deepti Pandey (CoRR, 2023)

The benefit of reflection prompts for encouraging learning with hints in an online programming course. - Heeryung Choi; Jelena Jovanovic 001; Oleksandra Poquet; Christopher Brooks 001; Srecko Joksimovic; Joseph Jay Williams (Internet High. Educ., 2023)

Open Science and Educational Data Mining: Which Practices Matter Most? - Ryan Shaun Baker; Stephen Hutt; Christopher A. Brooks 001; Namrata Srivastava; Caitlin Mills 001 (EDM, 2024)

Don't Step on My Toes: Resolving Editing Conflicts in Real-Time Collaboration in Computational Notebooks. - April Yi Wang; Zihan Wu 002; Christopher Brooks 001; Steve Oney (IDE@ICSE, 2024)

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. - Tung Phung; Victor-Alexandru Padurean; Anjali Singh; Christopher Brooks 001; José Cambronero; Sumit Gulwani; Adish Singla; Gustavo Soares (LAK, 2024)

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. - Anjali Singh; Christopher Brooks 001; Xu Wang 016; Warren Li; Juho Kim 001; Deepti Wilson (LAK, 2024)

Influence on Judgements of Learning Given Perceived AI Annotations. - Warren Li; Christopher Brooks 001 (L@S, 2024)

Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. - Steven Moore; Anjali Singh; Xinyi Lu; Hyoungwook Jin; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; Xu Wang 016; Juho Kim 001; John C. Stamper (L@S, 2024)

Investigating Student Mistakes in Introductory Data Science Programming. - Anjali Singh; Anna Fariha; Christopher Brooks 001; Gustavo Soares; Austin Z. Henley; Ashish Tiwari 001; Chethan M; Heeryung Choi; Sumit Gulwani (SIGCSE (1), 2024)

Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift. - Nicolás Acevedo; Carmen Cortez; Christopher Brooks 001; René F. Kizilcec; Renzhe Yu (CoRR, 2024)

The Life Cycle of Large Language Models: A Review of Biases in Education. - Jinsook Lee; Yann Hicke; Renzhe Yu; Christopher Brooks 001; René F. Kizilcec (CoRR, 2024)

Unfulfilled Promises of Child Safety and Privacy: Portrayals and Use of Children in Smart Home Marketing. - Kaiwen Sun; Jingjie Li; Yixin Zou; Jenny S. Radesky; Christopher Brooks 001; Florian Schaub (Proc. ACM Hum. Comput. Interact., 2024)

The life cycle of large language models in education: A framework for understanding sources of bias. - Jinsook Lee; Yann Hicke; Renzhe Yu; Christopher Brooks 001; René F. Kizilcec (Br. J. Educ. Technol., 2024)

Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education. - Tung Phung; Heeryung Choi; Mengyan Wu; Adish Singla; Christopher Brooks 001 (AIED (1), 2025)

Evaluating an AI Tutor for Bias Across Different Foundation Models. - Aditya Vinodh; Emma Harvey; Husni Almoubayyed; Renzhe Yu; Christopher Brooks 001; Allison Koenecke; René F. Kizilcec (AIED (6), 2025)

Understanding Predictive Models of Student Success with a Multiverse Analysis. - Yunxuan Tang; Emma Harvey; Chengyuan Yao; Renzhe Yu; René F. Kizilcec; Christopher Brooks 001 (EDM, 2025)