Measurement and analysis of student engagement in university classes where varying levels of PBL methods of instruction are in use-Reference-Cited by-同舟云学术

Measurement and analysis of student engagement in university classes where varying levels of PBL methods of instruction are in use

Published:2005-02 Issue:1 Volume:24 Page:5-20
ISSN:0729-4360
Container-title:Higher Education Research & Development
language:en
Short-container-title:Higher Education Research & Development

Author:

Ahlfeldt * Stephanie,Mehta Sudhir,Sellnow Timothy

Publisher

Informa UK Limited

Subject

Education

Link

http://www.tandfonline.com/doi/pdf/10.1080/0729436052000318541

Reference24 articles.

1. Problem-based learning

2. Problem-based learning for nursing: Integrating lessons from other disciplines with nursing experiences

3. Baldwin MS Strickland N (2003, August 6) Center for problem‐based learning, Samford University 6 August. Available online at: http://www.samford.edu/pbl/index.html (accessed 13 August, 2003)

4. Creating tension: undergraduate student nurses’ responses to a problem-based learning curriculum

5. The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring

Cited by 139 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. Students’ voices—the dynamic interactions between learning preferences, gender, learning disabilities, and achievements in science studies;Instructional Science;2024-06-04

2. Alignment of learning objectives, assessments, and active learning to promote critical thinking in a first-year medical physiology course: lessons learned;Advances in Physiology Education;2024-06-01

3. Screen-based Simulation Supporting Problem-based Learning to Improve Football Tactics;The Open Sports Sciences Journal;2024-05-08

4. Academic support through tutoring, guided learning, and learning diaries in the context of the COVID-19 pandemic: an experimental model for master’s students;Frontiers in Education;2024-03-20

5. Gaining Insights into Course Difficulty Variations Using Item Response Theory;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18