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ORCIDMichael Eagle
- > Home > Persons > Michael Eagle
Publications
- 2018
[c47]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- [c46]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: 16-20 - 2017
- [j2]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): 14:1-14:25 (2017) - [c44]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: 490-493 - [c42]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED 2017: 605-608 - [c41]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 - [c40]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: 272-279 - [c39]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: 530-531 - 2016
- [c36]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: 583-584
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