Christopher Brooks

Orcid: 0000-0003-0875-0204

Affiliations:
  • University of Michigan, School of Information, Ann Arbor, MI, USA
  • University of Saskatchewan, Saskatoon, Canada (former)


According to our database1, Christopher Brooks authored at least 98 papers between 2003 and 2024.

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Bibliography

2024
Investigating Student Mistakes in Introductory Data Science Programming.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023
The benefit of reflection prompts for encouraging learning with hints in an online programming course.
Internet High. Educ., June, 2023

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation.
CoRR, 2023

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

Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 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

Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Grade-based similarity prevails in online course forums at scale.
Comput. Educ., 2022

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data.
Br. J. Educ. Technol., 2022

Disparities in Students' Propensity to Consent to Learning Analytics.
Int. J. Artif. Intell. Educ., 2022

Design Recommendations for Using Textual Aids in Data-Science Programming Courses.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Learnersourcing: Student-generated Content @ Scale.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

2021
PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises.
Proc. ACM Hum. Comput. Interact., 2021

Child Safety in the Smart Home: Parents' Perceptions, Needs, and Mitigation Strategies.
Proc. ACM Hum. Comput. Interact., 2021

Towards Culturally Relevant Personalization at Scale: Experiments with Data Science Learners.
Int. J. Artif. Intell. Educ., 2021

What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Regex Parsons: Using Horizontal Parsons Problems to Scaffold Learning Regex.
Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Exploring the Relationship between Emergent Sociocognitive Roles, Collaborative Problem- Solving Skills and Outcomes: A Group Communication Analysis.
J. Learn. Anal., March, 2020

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

Exploring homophily in demographics and academic performance using spatial-temporal student networks.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
How Data Scientists Use Computational Notebooks for Real-Time Collaboration.
Proc. ACM Hum. Comput. Interact., 2019

Exploring Learner Engagement Patterns in Teach-Outs Using Topic, Sentiment and On-topicness to Reflect on Pedagogy.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

The Impact of Student Opt-Out on Educational Predictive Models.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Evaluating the Fairness of Predictive Student Models Through Slicing Analysis.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

It's My Data! Tensions Among Stakeholders of a Learning Analytics Dashboard.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses.
J. Learn. Anal., November, 2018

Evaluating Predictive Models of Student Success: Closing the Methodological Gap.
J. Learn. Anal., August, 2018

Student success prediction in MOOCs.
User Model. User Adapt. Interact., 2018

Creating Guided Code Explanations with chat.codes.
Proc. ACM Hum. Comput. Interact., 2018

Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining.
CoRR, 2018

Evaluating Predictive Models of Student Success: Closing the Methodological Gap.
CoRR, 2018

MORF: A Framework for MOOC Predictive Modeling and Replication At Scale.
CoRR, 2018

Replicating MOOC predictive models at scale.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Are MOOC forums changing?
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Coenrollment networks and their relationship to grades in undergraduate education.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Mentor Academy: Engaging Global Learners in the Creation of Data Science Problems for MOOCs.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Applying Group Communication Analysis to Educational Discourse Interactions at Scale.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Social Comparison Theory as Applied to MOOC Student Writing: Constructs for Opinion and Ability.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

How Gender Cues in Educational Video Impact Participation and Retention.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Dropout Model Evaluation in MOOCs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Statistical Framework for Predictive Model Evaluation in MOOCs.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

The Changing Patterns of MOOC Discourse.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Integrating syllabus data into student success models.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Statistical Approaches to the Model Comparison Task in Learning Analytics.
Proceedings of the Joint Proceedings of the Workshop on Methodology in Learning Analytics (MLA) and the Workshop on Building the Learning Analytics Curriculum (BLAC) co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017

What does student writing tell us about their thinking on social justice?
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Challenges and opportunities facing educational discourse researchers.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Infrastructure for Replication in Learning Analytics.
Proceedings of the Joint Proceedings of the Workshop on Methodology in Learning Analytics (MLA) and the Workshop on Building the Learning Analytics Curriculum (BLAC) co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017

Toward Replicable Predictive Model Evaluation in MOOCs.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Social work in the classroom? A tool to evaluate topical relevance in student writing.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016
Introduction to data mining for educational researchers.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Enabling Designers to Foresee Which Colors Users Cannot See.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Who You Are or What You Do: Comparing the Predictive Power of Demographics vs. Activity Patterns in Massive Open Online Courses (MOOCs).
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Learn With Friends: The Effects of Student Face-to-Face Collaborations on Massive Open Online Course Activities.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

A time series interaction analysis method for building predictive models of learners using log data.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Reducing selection bias in quasi-experimental educational studies.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Detecting and Visualizing Filter Bubbles in Google and Bing.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2014
Guest editorial.
Interact. Technol. Smart Educ., 2014

Modelling and quantifying the behaviours of students in lecture capture environments.
Comput. Educ., 2014

Towards A General Method for Building Predictive Models of Learner Success using Educational Time Series Data.
Proceedings of the Workshops at the LAK 2014 Conference co-located with 4th International Conference on Learning Analytics and Knowledge (LAK 2014), 2014

Explaining predictive models to learning specialists using personas.
Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

MOOCShop 2014.
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014

2013
Detecting and Categorizing Indices in Lecture Video Using Supervised Machine Learning.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Using an instructional expert to mediate the locus of control in adaptive e-learning systems.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

2011
OpenCast Matterhorn 1.1: reaching new heights.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

The who, what, when, and why of lecture capture.
Proceedings of the 1st International Conference on Learning Analytics and Knowledge, 2011

What did i miss?: in-meeting review using multimodal accelerated instant replay (air) conferencing.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010
AIR conferencing: accelerated instant replay for in-meeting multimodal review.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Useful junk?: the effects of visual embellishment on comprehension and memorability of charts.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009
Detecting Significant Events in Lecture Video using Supervised Machine Learning.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Lessons Learned using Social and Semantic Web Technologies for E-Learning.
Proceedings of the Semantic Web Technologies for e-Learning, 2009

2008
Distributed Image Processing for Automated Lecture Capture Post-Production.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

2007
Using Semantic Web Technologies to Analyze Learning Content.
IEEE Internet Comput., 2007

Leveraging the Semantic Web for Providing Educational Feedback.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments.
Proceedings of the Creating New Learning Experiences on a Global Scale, 2007

2006
Privacy enhanced personalization in e-learning.
Proceedings of the 2006 International Conference on Privacy, 2006

Combining ITS and eLearning Technologies: Opportunities and Challenges.
Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Applying the Agent Metaphor to Learning Content Management Systems and Learning Object Repositories.
Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Ontologies to Support Learning Design Context.
Proceedings of the Innovative Approaches for Learning and Knowledge Sharing, 2006

Awareness and Collaboration in the iHelp Courses Content Management System.
Proceedings of the Innovative Approaches for Learning and Knowledge Sharing, 2006

2005
Towards Best Practices for Semantic Web Student Modelling.
Proceedings of the Artificial Intelligence in Education, 2005

2004
Supporting Privacy in E-Learning with Semantic Streams.
Proceedings of the Second Annual Conference on Privacy, 2004

The Massive User Modelling System (MUMS).
Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

2003
Engineering a Future for Web-Based Learning Objects.
Proceedings of the Web Engineering, International Conference, 2003

Learning Objects on the Semantic Web.
Proceedings of the 2003 IEEE International Conference on Advanced Learning Technologies, 2003

Versioning of Learning Objects.
Proceedings of the 2003 IEEE International Conference on Advanced Learning Technologies, 2003


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