Click-level Learning Analytics in an Online Medical Education Learning Platform-Reference-Cited by-同舟云学术

Click-level Learning Analytics in an Online Medical Education Learning Platform

Published:2020-05-12 Issue:4 Volume:32 Page:410-421
ISSN:1040-1334
Container-title:Teaching and Learning in Medicine
language:en
Short-container-title:Teaching and Learning in Medicine

Author:

Cirigliano Matthew M.¹^ORCID,Guthrie Charles D.²^ORCID,Pusic Martin V.³^ORCID

Affiliation:

1. Steinhardt School of Education, New York University, New York, New York, USA

2. Graduate School of Arts and Sciences, New York University, New York, New York, USA

3. Division of Learning Analytics, Institute for Innovations in Medical Education, New York University School of Medicine, New York, New York, USA

Funder

This work was funded by MedU – Aquifer.

Publisher

Informa UK Limited

Subject

Education,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/10401334.2020.1754216

Reference33 articles.

1. The Impact of E-Learning in Medical Education

2. Internet-Based Learning in the Health Professions

3. Jones MG. Creating electronic learning environments: Games, flow, and the user interface. Paper presented at the National Convention of the Association for Educational Communications and Technology (AECT); 1998; St. Louis, MO. https://files.eric.ed.gov/fulltext/ED423842.pdf. Accessed March 22, 2020.

4. Student Engagement: What Is It? Why Does It Matter?

5. How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 25 Years of Digital Health Education - Looking Back and Looking Forward (Preprint);2024-05-07

2. Using Learning Analytics to Evaluate the Clinical Education Podcast Format;Medical Science Educator;2024-03-18

3. Learning Analytics und Künstliche Intelligenz in der medizinischen Ausbildung;Doing Higher Education;2024

4. Learning analytics driven improvements in learning design in higher education: A systematic literature review;Journal of Computer Assisted Learning;2023-10-23

5. Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy;Anatomical Sciences Education;2023-10-07