Michael Eagle

发表

Good Communities and Bad Communities: Does Membership Affect Performance?

Danielle S. McNamara, Collin Lynch, Rebecca Brown, 2015, EDM.

Communities of Performance & Communities of Preference

Danielle S. McNamara, Collin Lynch, Rebecca Brown, 2015, EDM.

Exploring Missing Behaviors with Region-Level Interaction Network Coverage

Michael Eagle, Tiffany Barnes, 2015, AIED.

Modeling Student Dropout in Tutoring Systems

Michael Eagle, Tiffany Barnes, 2014, Intelligent Tutoring Systems.

An Algorithm for Reducing the Complexity of Interaction Networks

Michael Eagle, Tiffany Barnes, John C. Stamper, 2013, EDM.

Predictive Models of User Performance for Marksmanship Training

Michael Eagle, Mary Jean Blink, Ted Carmichael, 2018, FLAIRS.

Data-driven generation of rubric criteria from an educational programming environment

Shuchi Grover, Michael Eagle, John C. Stamper, 2018, LAK.

Wu's castle: teaching arrays and loops in a game

Michael Eagle, Tiffany Barnes, 2008, ITiCSE.

Towards data-driven mastery learning

Michael Eagle, Tiffany Barnes, Behrooz Mostafavi, 2015, LAK.

Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities

Michael Eagle, Ryan Shaun Joazeiro de Baker, Albert T. Corbett, 2016, UMAP.

Evaluation of a game-based lab assignment

Michael Eagle, Tiffany Barnes, 2009, FDG.

Data-Driven Feedback Beyond Next-Step Hints

Michael Eagle, Tiffany Barnes, 2014, EDM.

An instructor dashboard for real-time analytics in interactive programming assignments

Shuchi Grover, Michael Eagle, John C. Stamper, 2017, LAK.

Wu's castle: teaching for loops and arrays using games

Michael Eagle, 2007, TAPIA '07.

Estimating Effects of the Decision Support System on Educational Agents with Simulations

Michael Eagle, Ajay Kulkarni, Michael Eagle, 2020, 2020 Spring Simulation Conference (SpringSim).

Exploring Differences in Problem Solving with Data-Driven Approach Maps

Michael Eagle, Tiffany Barnes, T. Barnes, 2014, EDM.

A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming

Shuchi Grover, Michael Eagle, John C. Stamper, 2017, LAK.

Physical STEM+C: Supporting the Integration of K-12 STEM+C Concepts in Non-Traditional Subject Areas

Michael Eagle, Debra Sprague, Nancy Holincheck, 2020 .

Interaction Networks: Generating High Level Hints Based on Network Community Clusterings

Michael Eagle, Tiffany Barnes, Matthew W. Johnson, 2012, EDM.

Data-Driven Generation of Rubric Parameters from an Educational Programming Environment

Shuchi Grover, Michael Eagle, John C. Stamper, 2017, AIED.

InVis: An Interactive Visualization Tool for Exploring Interaction Networks

Michael Eagle, Tiffany Barnes, Matthew W. Johnson, 2013, EDM.

Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data

Michael Eagle, Kenneth R. Koedinger, John C. Stamper, 2016, EDM.

The EDM Vis Tool

Michael Eagle, Tiffany Barnes, Matthew W. Johnson, 2011, EDM.

Audience Participation Games: Blurring the Line Between Player and Spectator

Michael Eagle, Jessica Hammer, Jeffrey P. Bigham, 2017, Conference on Designing Interactive Systems.

A learning objective focused methodology for the design and evaluation of game-based tutors

Michael Eagle, Tiffany Barnes, 2012, SIGCSE '12.

Survival Analysis on Duration Data in Intelligent Tutors

Michael Eagle, Tiffany Barnes, 2014, Intelligent Tutoring Systems.

Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments

Michael Eagle, Tiffany Barnes, Andrew Hicks, 2015, EDM.

Evaluation of Automatically Generated Hint Feedback

Michael Eagle, Tiffany Barnes, 2013, EDM.

Measuring Gameplay Affordances of User-Generated Content in an Educational Game

Michael Eagle, Tiffany Barnes, Zhongxiu Liu, 2016, EDM.

Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help

Shuchi Grover, Michael Eagle, John C. Stamper, 2017, EDM.

Experimental Evaluation of Automatic Hint Generation for a Logic Tutor

Michael Eagle, Tiffany Barnes, John C. Stamper, 2011, AIED.

Estimating the Local Size and Coverage of Interaction Network Regions

Michael Eagle, 2015, EDM.

Measuring Implicit Science Learning with Networks of Player-Game Interactions

Rebecca Brown, Michael Eagle, Tiffany Barnes, 2015, CHI PLAY.

Effects of Automatically Generated Hints on Time in a Logic Tutor

Michael Eagle, Tiffany Barnes, Matthew W. Johnson, 2013, AIED Workshops.

Experimental Evaluation of Automatic Hint Generation for a Logic Tutor

Michael Eagle, Tiffany Barnes, John C. Stamper, 2011, Int. J. Artif. Intell. Educ..

Predictive Student Modeling for Interventions in Online Classes

Michael Eagle, John C. Stamper, Mary Jean Blink, 2018, EDM.

Predicting Individualized Learner Models Across Tutor Lessons

Michael Eagle, Albert T. Corbett, John C. Stamper, 2018, EDM.

Wu's castle: teaching arrays and loops in a game

Michael Eagle, Tiffany Barnes, 2008, SIGCSE 2008.

Exploring player behavior with visual analytics

Michael Eagle, Tiffany Barnes, Matthew W. Johnson, 2013, FDG.

Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors

Michael Eagle, Ajay Kulkarni, Michael Eagle, 2021, EDM.

Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor

Michael Eagle, Tiffany Barnes, John C. Stamper, 2012, ITS.

Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data

Michael Eagle, Albert T. Corbett, John C. Stamper, 2016, ITS.

Data-Driven Method for Assessing Skill-Opportunity Recognition in Open Procedural Problem Solving Environments

Michael Eagle, Tiffany Barnes, 2012, ITS.

Level up: a frame work for the design and evaluation of educational games

Michael Eagle, 2009, FDG.

Exploring networks of problem-solving interactions

Michael Eagle, Tiffany Barnes, Andrew Hicks, 2015, LAK.

Experimental evaluation of an educational game for improved learning in introductory computing

Michael Eagle, Tiffany Barnes, 2009, SIGCSE '09.

Intelligent Tutoring Systems, Educational Data Mining, and the Design and Evaluation of Video Games

Michael Eagle, Tiffany Barnes, T. Barnes, 2010, Intelligent Tutoring Systems.

Exploring Learner Model Differences Between Students

Michael Eagle, Ryan Shaun Joazeiro de Baker, Albert T. Corbett, 2017, AIED.

A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments

Shuchi Grover, Michael Eagle, John C. Stamper, 2017, ACM Trans. Comput. Educ..

Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor

Michael Eagle, Tiffany Barnes, Behrooz Mostafavi, 2014, EDM.

Using sequential pattern mining to increase graph comprehension in intelligent tutoring system student data (abstract only)

Michael Eagle, Tiffany Barnes, Matthew W. Johnson, 2013, SIGCSE '13.