Следене
John M. Aiken
John M. Aiken
Expert Analytics; University of Oslo
Потвърден имейл адрес: physics.gatech.edu - Начална страница
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Позовавания
Позовавания
Година
Exploring physics students’ engagement with online instructional videos in an introductory mechanics course
SY Lin, JM Aiken, DT Seaton, SS Douglas, EF Greco, BD Thoms, ...
Physical Review Physics Education Research 13 (2), 020138, 2017
49*2017
Understanding student computational thinking with computational modeling
JM Aiken, MD Caballero, SS Douglas, JB Burk, EM Scanlon, BD Thoms, ...
AIP Conference Proceedings 1513 (1), 46-49, 2013
462013
Alternative model for administration and analysis of research-based assessments
BR Wilcox, BM Zwickl, RD Hobbs, JM Aiken, NM Welch, HJ Lewandowski
Physical Review Physics Education Research 12 (1), 010139, 2016
312016
Integrating numerical computation into the modeling instruction curriculum
MD Caballero, JB Burk, JM Aiken, SS Douglas, EM Scanlon, B Thoms, ...
arXiv preprint arXiv:1207.0844, 2012
292012
Predicting the proximity to macroscopic failure using local strain populations from dynamic in situ X-ray tomography triaxial compression experiments on rocks
J McBeck, JM Aiken, Y Ben-Zion, F Renard
Earth and Planetary Science Letters 543, 116344, 2020
272020
Predicting time to graduation at a large enrollment American university
JM Aiken, R De Bin, M Hjorth-Jensen, MD Caballero
PloS ONE 15 (11), e0242334, 2020
262020
Identifying features predictive of faculty integrating computation into physics courses
NT Young, G Allen, JM Aiken, R Henderson, MD Caballero
Physical Review Physics Education Research 15 (1), 010114, 2019
252019
Deformation precursors to catastrophic failure in rocks
JA McBeck, JM Aiken, J Mathiesen, Y Ben‐Zion, F Renard
Geophysical Research Letters 47 (24), e2020GL090255, 2020
242020
The initial state of students taking an introductory physics mooc
JM Aiken, SY Lin, SS Douglas, EF Greco, BD Thoms, MF Schatz, ...
arXiv preprint arXiv:1307.2533, 2013
232013
Modeling student pathways in a physics bachelor’s degree program
JM Aiken, R Henderson, MD Caballero
Physical Review Physics Education Research 15 (1), 010128, 2019
222019
Classification of open-ended responses to a research-based assessment using natural language processing
J Wilson, B Pollard, JM Aiken, MD Caballero, HJ Lewandowski
Physical Review Physics Education Research 18 (1), 010141, 2022
212022
Do-it-yourself whiteboard-style physics video lectures
SS Douglas, JM Aiken, E Greco, M Schatz, SY Lin
The Physics Teacher 55 (1), 22-24, 2017
192017
Isolating the factors that govern fracture development in rocks throughout dynamic in situ X‐ray tomography experiments
J McBeck, N Kandula, JM Aiken, B Cordonnier, F Renard
Geophysical Research Letters 46 (20), 11127-11135, 2019
182019
A Framework for Evaluating Statistical Models in Physics Education Research
JM Aiken, R De Bin, HJ Lewandowski, MD Caballero
arXiv preprint arXiv:2106.11038, 2021
152021
Two-phase study examining perspectives and use of quantitative methods in physics education research
AV Knaub, JM Aiken, L Ding
Physical Review Physics Education Research 15 (2), 020102, 2019
132019
Peer assessment of student-produced mechanics lab report videos
SS Douglas, JM Aiken, SY Lin, EF Greco, E Alicea-Muñoz, MF Schatz
102017
Peer evaluation of video lab reports in an introductory physics MOOC
SY Lin, SS Douglas, JM Aiken, CL Liu, EF Greco, BD Thoms, ...
arXiv preprint arXiv:1407.4714, 2014
102014
Student use of a single lecture video in a flipped introductory mechanics course
JM Aiken, SY Lin, SS Douglas, EF Greco, BD Thoms, MD Caballero, ...
arXiv preprint arXiv:1407.2620, 2014
102014
A machine learning framework to automate the classification of surge-type glaciers in Svalbard
C Bouchayer, JM Aiken, K Thøgersen, F Renard, TV Schuler
Journal of Geophysical Research: Earth Surface, e2022JF006597, 2022
92022
Predicting fracture network development in crystalline rocks
J McBeck, JM Aiken, B Cordonnier, Y Ben-Zion, F Renard
Pure and Applied Geophysics 179 (1), 275-299, 2022
62022
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