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Christopher Brooks 0001

Christopher A. Brooks 0001

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

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2020 – today

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2024
[j18]
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Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec:
The life cycle of large language models in education: A framework for understanding sources of bias. Br. J. Educ. Technol. 55(5): 1982-2002 (2024)
[j17]
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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): 1-29 (2024)
[c81]
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Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills:
Open Science and Educational Data Mining: Which Practices Matter Most? EDM 2024
[c80]
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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. IDE@ICSE 2024: 47-52
[c79]
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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: 12-23
[c78]
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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: 742-748
[c77]
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Warren Li, Christopher Brooks:
Influence on Judgements of Learning Given Perceived AI Annotations. L@S 2024: 221-231
[c76]
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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: 559-562
[c75]
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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: 1258-1264
[i13]
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  - journals/corr/abs-2404-04695
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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 abs/2404.04695 (2024)
[i12]
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  - journals/corr/abs-2405-14186
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Nicolás Acevedo, Carmen Cortez, Christopher Brooks, René F. Kizilcec, Renzhe Yu:
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift. CoRR abs/2405.14186 (2024)
[i11]
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  - journals/corr/abs-2407-11203
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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 abs/2407.11203 (2024)
2023
[j16]
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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: 100903 (2023)
[c74]
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  - conf/aied/MooreTSLHLLCKDB23
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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:
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) 2023: 32-37
[c73]
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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: 798:1-798:22
[c72]
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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: 1664-1684
[c71]
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  - conf/iticse/0002E023
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Zihan Wu, Barbara J. Ericson, Christopher Brooks:
Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions. ITiCSE (1) 2023: 457-463
[c70]
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  - conf/lak/ChoiW0LS23
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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: 11-21
[e2]
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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:
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. CEUR Workshop Proceedings 3487, CEUR-WS.org 2023 [contents]
[e1]
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Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks:
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. CEUR Workshop Proceedings 3410, CEUR-WS.org 2023 [contents]
[i10]
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  - journals/corr/abs-2305-00927
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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 abs/2305.00927 (2023)
[i9]
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  - journals/corr/abs-2309-12371
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Jinsook Lee, Christopher Brooks, Renzhe Yu, René F. Kizilcec:
Fairness Hub Technical Briefs: AUC Gap. CoRR abs/2309.12371 (2023)
[i8]
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  - journals/corr/abs-2310-03780
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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 abs/2310.03780 (2023)
[i7]
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  - journals/corr/abs-2311-12148
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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 abs/2311.12148 (2023)
2022
[j15]
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  - journals/aiedu/LiSSB22
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Warren Li, Kaiwen Sun, Florian Schaub, Christopher Brooks:
Disparities in Students' Propensity to Consent to Learning Analytics. Int. J. Artif. Intell. Educ. 32(3): 564-608 (2022)
[j14]
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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): 756-775 (2022)
[j13]
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  - journals/ce/PoquetNKBDB22
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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: 104401 (2022)
[c69]
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  - conf/lats/Singh0D22
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Anjali Singh, Christopher Brooks, Shayan Doroudi:
Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. L@S 2022: 234-245
[c68]
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  - conf/lats/MooreSBDK22
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Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. L@S 2022: 259-262
[c67]
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  - conf/sigcse/ChoiM0DS21
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Heeryung Choi, Caitlin Mills, Christopher Brooks, Stephen Doherty, Anjali Singh:
Design Recommendations for Using Textual Aids in Data-Science Programming Courses. SIGCSE (1) 2022: 843-849
2021
[j12]
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  - journals/aiedu/BrooksQCQNG21
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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): 516-537 (2021)
[j11]
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  - journals/pacmhci/WangCCBO21
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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): 415:1-415:24 (2021)
[j10]
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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): 471:1-471:41 (2021)
[c66]
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  - conf/chi/WangWDLPO021
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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: 445:1-445:7
[c65]
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Zihan Wu, Barbara Ericson, Christopher A. Brooks:
Regex Parsons: Using Horizontal Parsons Problems to Scaffold Learning Regex. Koli Calling 2021: 31:1-31:3
[c64]
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  - conf/lats/Singh0LL21
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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: 221-233
2020
[j9]
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  - journals/solarjla/DowellLGB20
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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)
[c63]
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April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney:
Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives. CHI 2020: 1-13
[c62]
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  - conf/edm/NguyenPBL20
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Quan Nguyen, Oleksandra Poquet, Christopher Brooks, Warren Li:
Exploring homophily in demographics and academic performance using spatial-temporal student networks. EDM 2020
[c61]
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  - conf/lats/BrooksKD20
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Christopher Brooks, René F. Kizilcec, Nia Dowell:
Designing Inclusive Learning Environments. L@S 2020: 225-228

2010 – 2019

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2019
[j8]
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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): 39:1-39:30 (2019)
[c60]
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Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks:
Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning. AIED (1) 2019: 207-219
[c59]
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Kaiwen Sun, Abraham H. Mhaidli, Sonakshi Watel, Christopher A. Brooks, Florian Schaub:
It's My Data! Tensions Among Stakeholders of a Learning Analytics Dashboard. CHI 2019: 594
[c58]
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Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. EDM 2019
[c57]
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Heeryung Choi, Nia Dowell, Christopher Brooks, Stephanie D. Teasley:
Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality. LAK 2019: 160-169
[c56]
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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: 180-184
[c55]
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Josh Gardner, Christopher Brooks, Ryan Baker:
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. LAK 2019: 225-234
[c54]
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Warren Li, Christopher A. Brooks, Florian Schaub:
The Impact of Student Opt-Out on Educational Predictive Models. LAK 2019: 411-420
[c53]
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Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi, Christopher Brooks:
Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning. LAK 2019: 431-435
[c52]
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Timothy NeCamp, Josh Gardner, Christopher Brooks:
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. LAK 2019: 539-548
2018
[j7]
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Steve Oney, Christopher Brooks, Paul Resnick:
Creating Guided Code Explanations with chat.codes. Proc. ACM Hum. Comput. Interact. 2(CSCW): 131:1-131:20 (2018)
[j6]
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Joshua Patrick Gardner, Christopher Brooks:
Evaluating Predictive Models of Student Success: Closing the Methodological Gap. J. Learn. Anal. 5(2): 105-125 (2018)
[j5]
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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)
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Josh Gardner, Christopher Brooks:
Student success prediction in MOOCs. User Model. User Adapt. Interact. 28(2): 127-203 (2018)
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Josh Gardner, Christopher Brooks:
Dropout Model Evaluation in MOOCs. AAAI 2018: 7906-7912
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Jing Hu, Nia Dowell, Christopher Brooks, Wenfei Yan:
Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse. AIED (2) 2018: 145-149
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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: 3235-3244
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Christopher Brooks, Josh Gardner, Kaifeng Chen:
How Gender Cues in Educational Video Impact Participation and Retention. ICLS 2018
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Heeryung Choi, Nia Dowell, Christopher Brooks:
Social Comparison Theory as Applied to MOOC Student Writing: Constructs for Opinion and Ability. ICLS 2018
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Nia Dowell, Oleksandra Poquet, Christopher Brooks:
Applying Group Communication Analysis to Educational Discourse Interactions at Scale. ICLS 2018
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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
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Josh Gardner, Christopher Brooks:
Coenrollment networks and their relationship to grades in undergraduate education. LAK 2018: 295-304
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Oleksandra Poquet, Nia Dowell, Christopher Brooks, Shane Dawson:
Are MOOC forums changing? LAK 2018: 340-349
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Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker:
Replicating MOOC predictive models at scale. L@S 2018: 1:1-1:10
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Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. CoRR abs/1801.05236 (2018)
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Josh Gardner, Christopher Brooks:
Evaluating Predictive Models of Student Success: Closing the Methodological Gap. CoRR abs/1801.08494 (2018)
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Josh Gardner, Christopher Brooks:
Dropout Model Evaluation in MOOCs. CoRR abs/1802.06009 (2018)
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Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. CoRR abs/1806.05208 (2018)
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Timothy NeCamp, Josh Gardner, Christopher Brooks:
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. CoRR abs/1810.11185 (2018)
2017
[c41]
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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
[c40]
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Josh Gardner, Christopher Brooks:
Toward Replicable Predictive Model Evaluation in MOOCs. EDM 2017
[c39]
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Christopher Brooks, Ryan Baker, Juan Miguel Limjap Andres:
Infrastructure for Replication in Learning Analytics. MLA/BLAC@LAK 2017
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Heeryung Choi, Christopher Brooks, Kevyn Collins-Thompson:
What does student writing tell us about their thinking on social justice? LAK 2017: 594-595
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Christopher A. Brooks, Stephanie D. Teasley, George Siemens:
Challenges and opportunities facing educational discourse researchers. LAK 2017: 600-601
[c36]
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Josh Gardner, Christopher Brooks:
Statistical Approaches to the Model Comparison Task in Learning Analytics. MLA/BLAC@LAK 2017
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Josh Gardner, Ogechi Onuoha, Christopher Brooks:
Integrating syllabus data into student success models. LAK 2017: 586-587
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Josh Gardner, Christopher Brooks:
A Statistical Framework for Predictive Model Evaluation in MOOCs. L@S 2017: 269-272
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Nia M. Dowell, Christopher A. Brooks, Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic:
The Changing Patterns of MOOC Discourse. L@S 2017: 283-286
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Josh Gardner, Christopher Brooks:
Student Success Prediction in MOOCs. CoRR abs/1711.06349 (2017)
2016
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Katharina Reinecke, David R. Flatla, Christopher Brooks:
Enabling Designers to Foresee Which Colors Users Cannot See. CHI 2016: 2693-2704
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Christopher A. Brooks, Craig Thompson, Vitomir Kovanovic:
Introduction to data mining for educational researchers. LAK 2016: 505-506
2015
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Tawanna R. Dillahunt, Christopher A. Brooks, Samarth Gulati:
Detecting and Visualizing Filter Bubbles in Google and Bing. CHI Extended Abstracts 2015: 1851-1856
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Christopher A. Brooks, Craig Thompson, Stephanie D. Teasley:
A time series interaction analysis method for building predictive models of learners using log data. LAK 2015: 126-135
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Christopher A. Brooks, Omar Chavez, Jared Tritz, Stephanie D. Teasley:
Reducing selection bias in quasi-experimental educational studies. LAK 2015: 295-299
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Christopher A. Brooks, Caren Stalburg, Tawanna Dillahunt, Lionel Robert:
Learn With Friends: The Effects of Student Face-to-Face Collaborations on Massive Open Online Course Activities. L@S 2015: 241-244
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Christopher A. Brooks, Craig Thompson, Stephanie D. Teasley:
Who You Are or What You Do: Comparing the Predictive Power of Demographics vs. Activity Patterns in Massive Open Online Courses (MOOCs). L@S 2015: 245-248
2014
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Christopher A. Brooks, Graham Erickson, Jim E. Greer, Carl Gutwin:
Modelling and quantifying the behaviours of students in lecture capture environments. Comput. Educ. 75: 282-292 (2014)
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Markus Ketterl, Christopher A. Brooks, Florian Schimanke:
Guest editorial. Interact. Technol. Smart Educ. 11(3) (2014)
[c25]
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Steven Lonn, Christopher Brooks, Zachary A. Pardos, Barry W. Peddycord III, Emily Schneider, Ido Roll, Ashley Shaw:
MOOCShop 2014. ICLS 2014
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Christopher A. Brooks, Jim E. Greer:
Explaining predictive models to learning specialists using personas. LAK 2014: 26-30
[c23]
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Christopher A. Brooks, Craig Thompson, Stephanie D. Teasley:
Towards A General Method for Building Predictive Models of Learner Success using Educational Time Series Data. LAK Workshops 2014
2013
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Christopher A. Brooks, G. Scott Johnston, Craig Thompson, Jim E. Greer:
Detecting and Categorizing Indices in Lecture Video Using Supervised Machine Learning. Canadian AI 2013: 241-247
2012
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Christopher A. Brooks, Jim E. Greer, Carl Gutwin:
Using an instructional expert to mediate the locus of control in adaptive e-learning systems. LAK 2012: 84-87
2011
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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: 513-522
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Christopher A. Brooks, Carrie Demmans Epp, Greg Logan, Jim E. Greer:
The who, what, when, and why of lecture capture. LAK 2011: 86-92
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Christopher A. Brooks, Markus Ketterl, Adam Hochman, Josh Holtzman, Judy Stern, Tobias Wunden, Kristofor Amundson, Greg Logan, Kenneth Lui, Adam McKenzie, Denis Meyer, Markus Moormann, Matjaz Rihtar, Rüdiger Rolf, Nejc Skofic, Micah Sutton, Ruben Perez Vazquez, Benjamin Wulff:
OpenCast Matterhorn 1.1: reaching new heights. ACM Multimedia 2011: 703-706
2010
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Scott Bateman, Regan L. Mandryk, Carl Gutwin, Aaron Genest, David McDine, Christopher A. Brooks:
Useful junk?: the effects of visual embellishment on comprehension and memorability of charts. CHI 2010: 2573-2582
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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: 663-666

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
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Christopher A. Brooks, Kristofor Amundson, Jim E. Greer:
Detecting Significant Events in Lecture Video using Supervised Machine Learning. AIED 2009: 483-490
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Christopher A. Brooks, Scott Bateman, Jim E. Greer, Gord McCalla:
Lessons Learned using Social and Semantic Web Technologies for E-Learning. Semantic Web Technologies for e-Learning 2009: 260-278
2008
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Craig Thompson, Christopher A. Brooks, Jim E. Greer:
Distributed Image Processing for Automated Lecture Capture Post-Production. ISM 2008: 698-701
2007
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Jelena Jovanovic, Dragan Gasevic, Christopher A. Brooks, Vladan Devedzic, Marek Hatala, Timmy Eap, Griff Richards:
Using Semantic Web Technologies to Analyze Learning Content. IEEE Internet Comput. 11(5): 45-53 (2007)
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Jelena Jovanovic, Dragan Gasevic, Christopher A. Brooks, Vladan Devedzic, Marek Hatala:
LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments. EC-TEL 2007: 112-126
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Jelena Jovanovic, Dragan Gasevic, Christopher A. Brooks, Timmy Eap, Vladan Devedzic, Marek Hatala, Griff Richards:
Leveraging the Semantic Web for Providing Educational Feedback. ICALT 2007: 551-555
2006
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Christopher A. Brooks, Rupi Panesar, Jim E. Greer:
Awareness and Collaboration in the iHelp Courses Content Management System. EC-TEL 2006: 34-44
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Jelena Jovanovic, Dragan Gasevic, Christopher A. Brooks, Colin Knight, Griff Richards, Gordon I. McCalla:
Ontologies to Support Learning Design Context. EC-TEL 2006: 615-620
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Christopher A. Brooks, Jim E. Greer, Erica Melis, Carsten Ullrich:
Combining ITS and eLearning Technologies: Opportunities and Challenges. Intelligent Tutoring Systems 2006: 278-287
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Christopher A. Brooks, Scott Bateman, Gordon I. McCalla, Jim E. Greer:
Applying the Agent Metaphor to Learning Content Management Systems and Learning Object Repositories. Intelligent Tutoring Systems 2006: 808-810
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Mohd M. Anwar, Jim E. Greer, Christopher A. Brooks:
Privacy enhanced personalization in e-learning. PST 2006: 42
2005
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Mike Winter, Christopher A. Brooks, Jim E. Greer:
Towards Best Practices for Semantic Web Student Modelling. AIED 2005: 694-701
2004
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Christopher A. Brooks, Mike Winter, Jim E. Greer, Gordon I. McCalla:
The Massive User Modelling System (MUMS). Intelligent Tutoring Systems 2004: 635-645
[c4]
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Lori Kettel, Christopher A. Brooks, Jim E. Greer:
Supporting Privacy in E-Learning with Semantic Streams. PST 2004: 59-67
2003
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Permanand Mohan, Christopher A. Brooks:
Learning Objects on the Semantic Web. ICALT 2003: 195-199
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Christopher A. Brooks, John Cooke, Julita Vassileva:
Versioning of Learning Objects. ICALT 2003: 296-297
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Permanand Mohan, Christopher A. Brooks:
Engineering a Future for Web-Based Learning Objects. ICWE 2003: 120-123

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