PRED: A Frame-Based Primitive Editor. - Shun-En Xie; David F. Dumaresq; Philip H. Winne (Int. J. Man Mach. Stud., 1990)

Effects of Self-Regulated Learning In Programming. - Vive Kumar; Philip H. Winne; Allyson Hadwin; John C. Nesbit; Dianne Jamieson-Noel; Tom Calvert; Behzad Samin (ICALT, 2005)

Using Technology to Support Self-Regulation in University Writing. - Tracey L. Leacock; Philip H. Winne; Vive Kumar; Jurika Shakya (ICALT, 2006)

The Learning Kit Project: Advancing Research on Learning as Learners Learn in Everyday Settings. - Philip H. Winne (ICALT, 2006)

Workshop on Metacognition and Self-Regulated Learning in ITSs. - Ido Roll; Vincent Aleven; Roger Azevedo; Ryan Shaun Joazeiro de Baker; Gautam Biswas; Cristina Conati; Amanda Harris 001; Rosemary Luckin; Antonija Mitrovic; Tom Murray 001; Barbara White; Philip H. Winne (AIED, 2007)

Assisted Ontology Instantiation: a LearningKit perspective. - Liam Doherty; Vive Kumar; Philip H. Winne (ICALT, 2007)

Measurement and assessment in computer-supported collaborative learning. - Carmen L. Z. Gress; Meghann Fior; Allyson Fiona Hadwin; Philip H. Winne (Comput. Hum. Behav., 2010)

Innovative ways for using gStudy to orchestrate and research social aspects of self-regulated learning. - Allyson Fiona Hadwin; Mika Oshige; Carmen L. Z. Gress; Philip H. Winne (Comput. Hum. Behav., 2010)

Assessing process in CSCL: An ontological approach. - Vivekanandan Suresh Kumar; Carmen L. Z. Gress; Allyson Fiona Hadwin; Philip H. Winne (Comput. Hum. Behav., 2010)

Designing roles, scripts, and prompts to support CSCL in gStudy. - R. Morris; Allyson Fiona Hadwin; Carmen L. Z. Gress; Mariel Miller; Meghann Fior; H. Church; Philip H. Winne (Comput. Hum. Behav., 2010)

The learning kit project: Software tools for supporting and researching regulation of collaborative learning. - Philip H. Winne; Allyson Fiona Hadwin; Carmen L. Z. Gress (Comput. Hum. Behav., 2010)

Generating Natural Language Questions to Support Learning On-Line. - David Lindberg; Fred Popowich; John C. Nesbit; Philip H. Winne (ENLG, 2013)

Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. - Benjamin S. Goldberg; Robert A. Sottilare; Ido Roll; Susanne P. Lajoie; Eric G. Poitras; Gautam Biswas; James René Segedy; John S. Kinnebrew; Elaine Stampfer Wiese; Yanjin Long; Vincent Aleven; Kenneth R. Koedinger; et al. (ICLS, 2014)

Leveraging MSLQ Data for Predicting Students Achievement Goal Orientations. - Liaqat Ali; Marek Hatala; Dragan Gasevic; Philip H. Winne (J. Learn. Anal., 2014)

Understanding, evaluating, and supporting self-regulated learning using learning analytics. - Ido Roll; Philip H. Winne (J. Learn. Anal., 2014)

Cognitive productivity: Can cognitive science improve how knowledge workers' use IT to learn from source material? - Luc Beaudoin; Geneviève Gauthier; Philip H. Winne (CogSci, 2015)

Aligning automatically generated questions to instructor goals and learner behaviour. - Lydia Odilinye; Fred Popowich; Evan Zhang; John C. Nesbit; Philip H. Winne (ICSC, 2015)

What is the state of the art in self-, co- and socially shared regulation in CSCL? - Philip H. Winne (Comput. Hum. Behav., 2015)

Generating Learning Analytics to Improve Learners' Metacognitive Skills Using nStudy Trace Data and the ICAP Framework. - Zahia Marzouk; Mladen Rakovic; Philip H. Winne (LAL@LAK, 2016)

nStudy: A System for Researching Information Problem Solving. - Philip H. Winne; John C. Nesbit; Fred Popowich (Technol. Knowl. Learn., 2017)

Topic Development to Support Revision Feedback. - Jovita M. Vytasek; Alexandra Patzak; Philip H. Winne (LAK, 2019)

Paradigmatic Dimensions of Instrumentation and Analytic Methods in Research on Self-Regulated Learning. - Philip H. Winne (Comput. Hum. Behav., 2019)

nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning. - Philip H. Winne; Kenny Teng; Daniel Chang; Michael Pin-Chuan Lin; Zahia Marzouk; John C. Nesbit; Alexandra Patzak; Mladen Rakovic; Donya Samadi; Jovita M. Vytasek (J. Learn. Anal., 2019)

Fine grained analysis of students' online discussion posts. - Mladen Rakovic; Zahia Marzouk; Amna Liaqat; Philip H. Winne; John C. Nesbit (Comput. Educ., 2020)

Construct and consequential validity for learning analytics based on trace data. - Philip H. Winne (Comput. Hum. Behav., 2020)

Analytics for Student Engagement. - Jovita M. Vytasek; Alexandra Patzak; Philip H. Winne (Machine Learning Paradigms, 2020)

Open Learner Models Working in Symbiosis With Self-Regulating Learners: A Research Agenda. - Philip H. Winne (Int. J. Artif. Intell. Educ., 2021)

Automatic identification of knowledge-transforming content in argument essays developed from multiple sources. - Mladen Rakovic; Philip H. Winne; Zahia Marzouk; Daniel Chang (J. Comput. Assist. Learn., 2021)

A microanalysis of learner questions and tutor guidance in simulation-assisted inquiry learning. - Arita L. Liu; Shiva Hajian; Misha Jain; Mari Fukuda; Teeba Obaid; John C. Nesbit; Philip H. Winne (J. Comput. Assist. Learn., 2022)

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)

Temporal structuring in asynchronous discussions: Designing for collaborative learning in online university courses. - Arita L. Liu; Philip H. Winne; John C. Nesbit (Internet High. Educ., 2025)