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Knowledge Construction in Problem-Based Learning: A Lag-Sequential Analysis of Teachers' and Students' Discourse
Binbin Zheng1, Qing He1, Junru Lei1
1Bau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Problem-based learning (PBL) tutors use probing questions to foster student knowledge construction. Lag-sequential analysis reveals key discourse patterns in PBL, guiding effective facilitation strategies for collaborative learning.
Area of Science:
- Medical Education
- Social Sciences
- Cognitive Science
Background:
- Problem-based learning (PBL) is a global standard in medical education.
- The sequential dynamics of discourse moves in PBL remain under-researched.
- Understanding tutor-tutee interactions is crucial for effective knowledge construction.
Purpose of the Study:
- To investigate discourse moves facilitating collaborative knowledge construction in PBL.
- To analyze temporal dynamics of discourse moves using sequential analysis in an Asian context.
- To identify patterns in tutor and tutee discourse for improved PBL facilitation.
Main Methods:
- Study involved 22 first-year medical students and 2 PBL tutors in an Asian medical school.
- Two 2-hour PBL tutorials were video-recorded, transcribed, with non-verbal behaviors noted.
- Lag-sequential analysis (LSA) was employed to examine discourse move sequences.
Main Results:
- Tutors utilized probing questions, explanations, clarifications, and social-facilitation strategies.
- Four major discourse paths were identified: teacher questions eliciting thinking levels, teacher statements mediating, relationships between social-facilitation and thinking modes, and sequences involving statements, facilitation, process-discourse, and silence.
- Probing questions were vital for progressing students from lower to higher-level thinking.
Conclusions:
- Probing questions are essential for facilitating student knowledge construction in PBL.
- The study introduces innovative lag-sequential analysis to explore PBL discourse dynamics.
- Findings offer practical guidance for PBL tutors on optimizing collaborative knowledge construction.
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