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John M. Aiken

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.ed-ph2
  • stat.AP1
ORCID 0000-0003-2258-3836

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedPeer Evaluation of Video Lab Reports in an Introductory Physics MOOC

4 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2023

Spatio-temporal spread of COVID-19 and its associations with socioeconomic, demographic and environmental factors in England: A Bayesian hierarchical spatio-temporal model

Xueqing Yin, John M. Aiken, Richard Harris +1

Exploring the spatio-temporal variations of COVID-19 transmission and its potential determinants could provide a deeper understanding of the dynamics of disease spread. This study…

physics.ed-ph2021

A Framework for Evaluating Statistical Models in Physics Education Research

John M. Aiken, Riccardo De Bin, H. J. Lewandowski +1

Across the field of education research there has been an increased focus on the development, critique, and evaluation of statistical methods and data usage due to recently created,…

physics.ed-ph2014★ 4 cited

Peer Evaluation of Video Lab Reports in an Introductory Physics MOOC

Shih-Yin Lin, Scott S. Douglas, John M. Aiken +5

Assessing student performance becomes challenging when course enrollment becomes very large (~10^4 students). As part of a Massive Open Online Course (MOOC) in introductory physics…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.