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Collaborative Testing in Medical Education: Student Perceptions and Long-Term Knowledge Retention.

Jennifer L Eastwood¹, Katherine A Kleinberg¹, David W Rodenbaugh¹

¹Burrell College of Osteopathic Medicine, Las Cruces, NM USA.

Medical Science Educator

|August 30, 2021

Summary

Collaborative testing significantly improves long-term retention of basic science knowledge in medical students compared to group review. This method enhances knowledge retrieval and performance, despite some student concerns about certainty and conflict.

Keywords:

Collaborative learning Collaborative testing Epistemic cognition Knowledge retention Repeated retrieval

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Area of Science:

Medical Education
Cognitive Psychology

Background:

Collaborative testing integrates collaborative learning with assessment, using small groups to answer exam questions.
Prior research indicates collaborative testing boosts student performance and short-term knowledge retention over individual testing.

Purpose of the Study:

To evaluate the impact of collaborative testing on preclinical medical students' long-term retention of basic science knowledge.
To explore students' perceptions and approaches to collaborative testing.

Main Methods:

A mixed-methods study involving preclinical medical students.
Students experienced two conditions post-individual exams: collaborative testing and group exam review.
An 8-month delayed post-test assessed retention from both conditions.

Main Results:

Significantly higher post-test performance and knowledge retention were observed in the collaborative testing condition.
Qualitative data suggest collaborative processes and repeated retrieval enhance knowledge retention.
Students valued teamwork but reported uncertainty and interpersonal conflict.

Conclusions:

Collaborative testing enhances long-term knowledge retention in medical education.
Study findings inform the design of collaborative testing to support knowledge retention and effective collaboration.
Addressing student concerns regarding certainty and conflict is crucial for optimizing collaborative testing environments.