Taylor Martin - Publications

Affiliations: 
Educational Psychology University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Developmental Psychology, Educational Psychology Education

16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Aghababyan A, Martin T, Janisiewicz P, Close K. Microgenetic Learning Analytics Methods: Hands-on Sequence Analysis Workshop Report Journal of Learning Analytics. 3: 96-114. DOI: 10.18608/Jla.2016.33.6  0.375
2015 Martin T, Peacock SB, Ko P, Rudolph JJ. Changes in Teachers' Adaptive Expertise in an Engineering Professional Development Course Journal of Pre-College Engineering Education Research. 5: 35-48. DOI: 10.7771/2157-9288.1050  0.309
2015 Martin T, Smith CP, Forsgren N, Aghababyan A, Janisiewicz P, Baker S. Learning Fractions by Splitting: Using Learning Analytics to Illuminate the Development of Mathematical Understanding The Journal of the Learning Sciences. 24: 593-637. DOI: 10.1080/10508406.2015.1078244  0.42
2015 Baker JM, Martin T, Aghababyan A, Armaghanyan A, Gillam R. Cortical Activations During a Computer-Based Fraction Learning Game: Preliminary Results from a Pilot Study Technology, Knowledge and Learning. DOI: 10.1007/S10758-015-9251-Y  0.346
2013 Martin T, Sherin B. Learning Analytics and Computational Techniques for Detecting and Evaluating Patterns in Learning: An Introduction to the Special Issue Journal of the Learning Sciences. 22: 511-520. DOI: 10.1080/10508406.2013.840466  0.369
2013 Berland M, Martin T, Benton T, Smith CP, Davis D. Using Learning Analytics to Understand the Learning Pathways of Novice Programmers The Journal of the Learning Sciences. 22: 564-599. DOI: 10.1080/10508406.2013.836655  0.42
2009 Martin T. A Theory of Physically Distributed Learning: How External Environments and Internal States Interact in Mathematics Learning Child Development Perspectives. 3: 140-144. DOI: 10.1111/J.1750-8606.2009.00094.X  0.43
2009 Gresalfi M, Martin T, Hand V, Greeno J. Constructing competence: An analysis of student participation in the activity systems of mathematics classrooms Educational Studies in Mathematics. 70: 49-70. DOI: 10.1007/S10649-008-9141-5  0.365
2007 Martin T, Rivale SD, Diller KR. Comparison of student learning in challenge-based and traditional instruction in biomedical engineering. Annals of Biomedical Engineering. 35: 1312-23. PMID 17393336 DOI: 10.1007/S10439-007-9297-7  0.435
2006 Schwartz DL, Martin T. Distributed learning and mutual adaptation Pragmatics and Cognition. 14: 313-332. DOI: 10.1075/Pc.14.2.11Sch  0.398
2006 Martin T, Petrosino AJ, Rivale S, Diller KR. The development of adaptive expertise in biotransport New Directions For Teaching and Learning. 35-47. DOI: 10.1002/Tl.254  0.326
2006 Rayne K, Martin T, Brophy S, Kemp NJ, Hart JD, Diller KR. The development of adaptive expertise in biomedical engineering ethics Journal of Engineering Education. 95: 165-173. DOI: 10.1002/J.2168-9830.2006.Tb00887.X  0.318
2005 Martin T, Schwartz DL. Physically distributed learning: adapting and reinterpreting physical environments in the development of fraction concepts. Cognitive Science. 29: 587-625. PMID 21702786 DOI: 10.1207/S15516709Cog0000_15  0.391
2005 Martin T, Rayne K, Kemp NJ, Hart J, Diller KR. Teaching for adaptive expertise in biomedical engineering ethics. Science and Engineering Ethics. 11: 257-76. PMID 15915863 DOI: 10.1007/S11948-005-0045-9  0.461
2004 Schwartz DL, Martin T. Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction. Cognition and Instruction. 22: 129-184. DOI: 10.1207/S1532690Xci2202_1  0.42
2003 Schwartz DL, Martin T. Representations That Depend on the Environment: Interpretative, Predictive, and Praxis Perspectives on Learning The Journal of the Learning Sciences. 12: 285-297. DOI: 10.1207/S15327809Jls1202_9  0.373
Show low-probability matches.