John Mark Aiken

• Yin, Xueqing; Aiken, John Mark; Harris, Richard & Bamber, Jonathan L. (2024). A Bayesian spatio-temporal model of COVID-19 spread in England. Scientific Reports. ISSN 2045-2322. 14(1). doi: 10.1038/s41598-024-60964-0.
• Aiken, John Mark; Sohn, Robert A.; Renard, Francois; Matter, Juerg; Kelemen, Peter & Jamtveit, Bjørn (2022). Gas Migration Episodes Observed During Peridotite Alteration in the Samail Ophiolite, Oman. Geophysical Research Letters. ISSN 0094-8276. 49(21). doi: 10.1029/2022GL100395. Fulltekst i vitenarkiv
• Bouchayer, Coline Lili Mathy; Aiken, John Mark; Thøgersen, Kjetil; Renard, Francois & Schuler, Thomas (2022). A Machine learning framework to automate the classification of surge-type glaciers in Svalbard. Journal of Geophysical Research (JGR): Earth Surface. ISSN 2169-9003. 127(7). doi: 10.1029/2022JF006597. Fulltekst i vitenarkiv
• Wilson, Joseph; Pollard, Benjamin; Aiken, John; Caballero, Marcos & Lewandowski, H.J. (2022). Classification of open-ended responses to a research-based assessment using natural language processing. Physical Review Physics Education Research. ISSN 2469-9896. 18(1), s. 010141-1–010141-16. doi: 10.1103/PhysRevPhysEducRes.18.010141. Fulltekst i vitenarkiv
• Aiken, John & Lewandowski, H.J. (2021). Data sharing model for physics education research using the 70 000 response Colorado Learning Attitudes about Science Survey for Experimental Physics dataset. Physical Review Physics Education Research. ISSN 2469-9896. 17(2). doi: 10.1103/PhysRevPhysEducRes.17.020144. Fulltekst i vitenarkiv
• McBeck, Jessica Ann; Aiken, John; Cordonnier, B.; Ben-Zion, Yehuda & Renard, Francois (2021). Predicting Fracture Network Development in Crystalline Rocks. Pure and Applied Geophysics (PAGEOPH). ISSN 0033-4553. 179, s. 275–299. doi: 10.1007/s00024-021-02908-7. Fulltekst i vitenarkiv
• Aiken, John Mark; De Bin, Riccardo; Lewandowski, Heather & Caballero, Marcos Daniel (2021). Framework for evaluating statistical models in physics education research. Physical Review Physics Education Research. ISSN 2469-9896. 17(2). doi: 10.1103/PhysRevPhysEducRes.17.020104. Fulltekst i vitenarkiv
• McBeck, Jessica Ann; Aiken, John Mark; Ben-Zion, Yehuda & Renard, Francois (2020). Predicting the proximity to macroscopic failure using local strain populations from dynamic in situ X-ray tomography triaxial compression experiments on rocks. Earth and Planetary Science Letters. ISSN 0012-821X. 543. doi: 10.1016/j.epsl.2020.116344. Fulltekst i vitenarkiv
• McBeck, Jessica Ann; Aiken, John Mark; Mathiesen, Joachim; Ben-Zion, Yehuda & Renard, Francois (2020). Deformation precursors to catastrophic failure in rocks. Geophysical Research Letters. ISSN 0094-8276. 47(24). doi: 10.1029/2020GL090255. Fulltekst i vitenarkiv
• Aiken, John Mark; De Bin, Riccardo; Hjorth-Jensen, Morten & Caballero, Marcos Daniel (2020). Predicting time to graduation at a large enrollment American university. PLOS ONE. ISSN 1932-6203. doi: 10.1371/journal.pone.0242334. Fulltekst i vitenarkiv
• McBeck, Jessica Ann; Kandula, Neelima; Aiken, John Mark; Cordonnier, Benoit & Renard, Francois (2019). Isolating the factors that govern fracture development in rocks throughout dynamic in situ X-ray tomography experiments. Geophysical Research Letters. ISSN 0094-8276. 46(20), s. 11127–11135. doi: 10.1029/2019GL084613. Fulltekst i vitenarkiv
• Knaub, Alexis V; Aiken, John Mark & Ding, Lin (2019). Two-phase study examining perspectives and use of quantitative methods in physics education research. Physical Review Physics Education Research. ISSN 2469-9896. 15(2). doi: 10.1103/PhysRevPhysEducRes.15.020102. Fulltekst i vitenarkiv
• Aiken, John Mark; Henderson, Rachel & Caballero, Marcos Daniel (2019). Modeling student pathways in a physics bachelor's degree program. Physical Review Physics Education Research. ISSN 2469-9896. 15(1), s. 1–17. doi: 10.1103/PhysRevPhysEducRes.15.010128. Fulltekst i vitenarkiv
• Young, Nicholas; Allen, Grant; Aiken, John Mark; Henderson, Rachel & Caballero, Marcos Daniel (2019). Identifying features predictive of faculty integrating computation into physics courses. Physical Review Physics Education Research. ISSN 2469-9896. 15(1). doi: 10.1103/PhysRevPhysEducRes.15.010114. Fulltekst i vitenarkiv
• Solli, Robert; Aiken, John Mark; Henderson, Rachel & Caballero, Marcos (2018). Examining the relationship between student performance and video interactions. Physics Education Research Conference Proceedings. ISSN 1539-9028. 2018. doi: 10.1119/perc.2018.pr.Solli.
• Aiken, John Mark; Aiken, Chastity & Cotton, Fabrice (2018). A python library for teaching computation to seismology students. Seismological Research Letters. ISSN 0895-0695. 89(3), s. 1165–1171. doi: 10.1785/0220170246.
• Lin, Shih-Yin; Aiken, John Mark; Seaton, Daniel T; Douglas, Scott; Greco, Edwin F & Thoms, Brian D [Vis alle 7 forfattere av denne artikkelen] (2017). Exploring physics students' engagement with online instructional videos in an introductory mechanics course. Physical Review Physics Education Research. ISSN 2469-9896. 13(2). doi: 10.1103/PhysRevPhysEducRes.13.020138.

Se alle arbeider i Cristin

• Knaub, Alexis V.; Aiken, John & Caballero, Marcos (2019). Editorial: Focused Collection: Quantitative Methods in PER: A Critical Examination. Physical Review Physics Education Research. ISSN 2469-9896. 15(2). doi: 10.1103/PhysRevPhysEducRes.15.020001.
• Aiken, John Mark (2020). Understanding University Student Pathways Towards Graduation with Machine Learning and Institutional Data. Det matematisk naturvitenskapelige fakultet.

Se alle arbeider i Cristin