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2010 – 2019
- 2018
[c16]Taylor Martin, Justin Zhang, William Nick, Cory Sabol, Albert C. Esterline:
Implementing webIDs + biometrics. ACM Southeast Regional Conference 2018: 41:1- 2017
- [p1]Sarah Brasiel, Kevin Close, Soojeong Jeong, Kevin Lawanto, Philip Janisiewicz, Taylor Martin:
Measuring Computational Thinking Development with the FUN! Tool. Emerging Research, Practice, and Policy on Computational Thinking 2017: 327-347 - 2016
- [j3]Ani Aghababyan, Taylor Martin, Philip Janisiewicz, Kevin Close:
Microgenetic Learning Analytics Methods: Hands-on Sequence Analysis Workshop Report. J. Learn. Anal. 3(3): 96-114 (2016) - [c15]Taylor Martin, Sarah Brasiel
, Soojeong Jeong, Kevin Close, Kevin Lawanto, Phil Janisciewcz:
Macro Data for Micro Learning: Developing the FUN! Tool for Automated Assessment of Learning. L@S 2016: 233-236 - 2015
- [j2]Joseph M. Baker, Taylor Martin, Ani Aghababyan, Armen Armaghanyan, Ronald Gillam:
Cortical Activations During a Computer-Based Fraction Learning Game: Preliminary Results from a Pilot Study. Technol. Knowl. Learn. 20(3): 339-355 (2015) - [c14]Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane:
Ethics and Privacy in EDM. EDM 2015: 13 - [c13]Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Mercedes T. Rodrigo, Aatish Salvi, Martin Van Velsen, Ani Aghababyan, Taylor Martin:
HART: the human affect recording tool. SIGDOC 2015: 24:1-24:6 - 2014
- [c12]Nicole Forsgren Velasquez, Ilya M. Goldin, Taylor Martin, Jason Maughan:
Learning Aid Use Patterns and Their Impact on Exam Performance in Online Developmental Mathematics. EDM 2014: 379-380 - [c11]Taylor Martin, Nicole Forsgren Velasquez, Ani Aghababyan, Jason Maughan, Philip Janisiewicz:
Microgenetic Designs for Educational Data Mining Research: Poster. EDM 2014: 387-388 - [c10]Nicole Forsgren Velasquez, Deborah A. Fields, David Olsen, Taylor Martin, Mark C. Shepherd, Anna Strommer, Yasmin B. Kafai:
Novice Programmers Talking about Projects: What Automated Text Analysis Reveals about Online Scratch Users' Comments. HICSS 2014: 1635-1644 - 2013
- [c9]Ilya M. Goldin, Taylor Martin, Ryan Shaun Joazeiro de Baker, Vincent Aleven, Tiffany Barnes:
Formative Feedback in Interactive Learning Environments. AIED 2013: 946 - [c8]Ani Aghababyan, Taylor Martin, Nicole Forsgren Velasquez, Philip Janisiewicz:
Educational Data Mining: Illuminating Student Learning Pathways in an Online Fraction Game. EDM 2013: 362-363 - [c7]Taylor Martin, Ani Aghababyan, Jay Pfaffman, Jenna Olsen, Stephanie Baker Peacock, Philip Janisiewicz, Rachel S. Phillips, Carmen Petrick Smith:
Nanogenetic learning analytics: illuminating student learning pathways in an online fraction game. LAK 2013: 165-169 - 2012
- [c6]Paulo Blikstein, Marcelo Worsley, Bruce Sherin, Ryan Baker, Matthew Berland, Taylor Martin, Ido Roll, Vincent Aleven, Ken Koedinger, Arnon Hershkovitz:
Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives. ICLS 2012 - 2011
- [c5]Matthew Berland, Taylor Martin, Tom Benton, Carmen Petrick:
Programming on the move: design lessons from IPRO. CHI Extended Abstracts 2011: 2149-2154 - [c4]Carmen Petrick, Matthew Berland, Taylor Martin:
Allocentrism and Computational Thinking. CSCL 2011 - [c3]Taylor Martin, Pat Ko, Stephanie Baker Peacock:
Work in progress - Exploring teacher and student differences in assessment of constructivist practices. FIE 2011: 4
2000 – 2009
- 2008
- [c2]Christa S. C. Asterhan, Baruch B. Schwarz, Christine Howe, Daniel L. Schwartz, Taylor Martin:
On socio-cognitive processes that promote learning from peer collaboration and how immediate transfer tests cannot always detect their effects. ICLS (3) 2008: 174-181 - 2005
- [j1]Taylor Martin, Daniel L. Schwartz:
Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts. Cogn. Sci. 29(4): 587-625 (2005) - 2004
- [c1]Taylor Martin:
Coevolution of Symbolic and Concrete Dimensions of Understanding. ICLS 2004
Coauthor Index
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