Michael Eagle

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 22

Top Topics

Intelligent Tutors

Top Venues

Intelligent Tutoring Systems

Publications

Ajay Kulkarni, Michael Eagle
Estimating Effects of the Decision Support System on Educational Agents with Simulations. SpringSim (2020)
Ajay Kulkarni, Michael Eagle
Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors. EDM (2020)
Mary Jean Blink, Ted Carmichael, Jennifer Murphy, Michael Eagle
Predictive Models of User Performance for Marksmanship Training. FLAIRS Conference (2018)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help. ICLS (2018)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren
Predicting Individualized Learner Models Across Tutor Lessons. EDM (2018)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Data-driven generation of rubric criteria from an educational programming environment. LAK (2018)
Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin
Predictive Student Modeling for Interventions in Online Classes. EDM (2018)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Data-Driven Generation of Rubric Parameters from an Educational Programming Environment. AIED (2017)
Joseph Seering, Saiph Savage, Michael Eagle, Joshua Churchin, Rachel Moeller, Jeffrey P. Bigham, Jessica Hammer
Audience Participation Games: Blurring the Line Between Player and Spectator. Conference on Designing Interactive Systems (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
An instructor dashboard for real-time analytics in interactive programming assignments. LAK (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. EDM (2017)
Shuchi Grover, Satabdi Basu, Marie A. Bienkowski, Michael Eagle, Nicholas Diana, John C. Stamper
A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments. ACM Trans. Comput. Educ. 17 (3) (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED (2017)
Elizabeth Rowe, Jodi Asbell-Clarke, Ryan S. Baker, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards
Assessing implicit science learning in digital games. Comput. Hum. Behav. 76 (2017)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan S. Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
Exploring Learner Model Differences Between Students. AIED (2017)
Shuchi Grover, Marie A. Bienkowski, Satabdi Basu, Michael Eagle, Nicholas Diana, John C. Stamper
A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming. LAK (2017)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data. ITS (2016)
Andrew Hicks, Zhongxiu Liu, Michael Eagle, Tiffany Barnes
Measuring Gameplay Affordances of User-Generated Content in an Educational Game. EDM (2016)
Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards
Validating Game-based Measures of Implicit Science Learning. EDM (2016)
Drew Hicks, Michael Eagle, Elizabeth Rowe, Jodi Asbell-Clarke, Teon Edwards, Tiffany Barnes
Using game analytics to evaluate puzzle design and level progression in a serious game. LAK (2016)
Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan Shaun Joazeiro de Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities. UMAP (2016)
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. EDM (2016)
Michael Eagle, Andrew Hicks, Tiffany Barnes
Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments. EDM (2015)
Michael Eagle
Estimating the Local Size and Coverage of Interaction Network Regions. EDM (2015)
Michael Eagle, Andrew Hicks, Barry W. Peddycord III, Tiffany Barnes
Exploring networks of problem-solving interactions. LAK (2015)
Rebecca Brown, Collin F. Lynch, Yuan Wang, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan Shaun Baker, Yoav Bergner, Danielle S. McNamara
Communities of Performance & Communities of Preference. EDM (Workshops) (2015)
Michael Eagle, Rebecca Brown, Elizabeth Rowe, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards
Exploring Problem-Solving Behavior in an Optics Game. EDM (2015)
Michael Eagle, Elizabeth Rowe, Drew Hicks, Rebecca Brown, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards
Measuring Implicit Science Learning with Networks of Player-Game Interactions. CHI PLAY (2015)
Behrooz Mostafavi, Michael Eagle, Tiffany Barnes
Towards data-driven mastery learning. LAK (2015)
Michael Eagle, Tiffany Barnes
Exploring Missing Behaviors with Region-Level Interaction Network Coverage. AIED (2015)
Rebecca Brown, Collin F. Lynch, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara
Good Communities and Bad Communities: Does Membership Affect Performance? EDM (2015)
Michael Eagle, Tiffany Barnes
Data-Driven Feedback Beyond Next-Step Hints. EDM (2014)
Michael Eagle, Tiffany Barnes
Exploring Differences in Problem Solving with Data-Driven Approach Maps. EDM (2014)
Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, Tiffany Barnes
Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor. EDM (2014)
Michael Eagle, Tiffany Barnes
Modeling Student Dropout in Tutoring Systems. Intelligent Tutoring Systems (2014)
Michael Eagle, Tiffany Barnes
Survival Analysis on Duration Data in Intelligent Tutors. Intelligent Tutoring Systems (2014)
Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes
An Algorithm for Reducing the Complexity of Interaction Networks. EDM (2013)
Matthew W. Johnson, Michael Eagle, Tiffany Barnes
InVis: An Interactive Visualization Tool for Exploring Interaction Networks. EDM (2013)
Michael Eagle, Matthew W. Johnson, Tiffany Barnes, Acey Kreisler Boyce
Exploring player behavior with visual analytics. FDG (2013)
Michael Eagle, Tiffany Barnes
Evaluation of Automatically Generated Hint Feedback. EDM (2013)
Michael Eagle, Tiffany Barnes, Matthew W. Johnson
Effects of Automatically Generated Hints on Time in a Logic Tutor. AIED Workshops (2013)
Aaron Springer, Matthew W. Johnson, Michael Eagle, Tiffany Barnes
Using sequential pattern mining to increase graph comprehension in intelligent tutoring system student data (abstract only). SIGCSE (2013)
John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. Int. J. Artif. Intell. Educ. 22 (1-2) (2013)
Michael Eagle, Matthew W. Johnson, Tiffany Barnes
Interaction Networks: Generating High Level Hints Based on Network Community Clusterings. EDM (2012)
Matthew W. Johnson, Michael Eagle, Leena Joseph, Tiffany Barnes
The EDM Vis Tool. EDM (2011)
John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. AIED (2011)
Michael Eagle, Tiffany Barnes
Intelligent Tutoring Systems, Educational Data Mining, and the Design and Evaluation of Video Games. Intelligent Tutoring Systems (2) (2010)
Michael Eagle, Tiffany Barnes
Evaluation of a game-based lab assignment. FDG (2009)
Michael Eagle
Level up: a frame work for the design and evaluation of educational games. FDG (2009)
Michael Eagle, Tiffany Barnes
Experimental evaluation of an educational game for improved learning in introductory computing. SIGCSE (2009)
Michael Eagle, Tiffany Barnes
Wu's castle: teaching arrays and loops in a game. ITiCSE (2008)
Michael Eagle
Wu's castle: teaching for loops and arrays using games. Richard Tapia Celebration of Diversity in Computing Conference (2007)