학술논문

Statistically significant learning experiences: towards building self-efficacy of undergraduate statistics learners through team-based learning.
Document Type
Article
Source
Educational Action Research; Apr2021, Vol. 29 Issue 2, p226-244, 19p, 3 Diagrams, 1 Chart
Subject
Statistics education
Team learning approach in education
Teaching methods
Undergraduates
Science education
Higher education
Young adults
Self-efficacy
Language
ISSN
09650792
Abstract
Competence in statistics is a fundamental component of a biological scientist's toolbox. However, anxiety often affects undergraduate students' development of this competence and research has shown that perceived self-efficacy for statistics is correlated to academic performance. Self-efficacy may be promoted by reducing anxiety , and also allowing students to practice their skills in groups to model approaches used and obtain peer feedback. We undertook action research to investigate how a change in teaching method to team-based learning (TBL) affected our students. The first iteration of the teaching with Year 2 students led us to change our delivery to allow more time for teamworking for the next iteration with Year 1 students. We found that some measures of self-efficacy were correlated with a post-TBL summative test performance of Year 1 and Year 2 students. However, Year 1 students were less positive about TBL. This corroborated quantitative findings revealing that they had lower collective efficacy than Year 2 students, despite teams performing as well during formatively assessed TBL. We draw on self-efficacy theory to better understand why students perceive and report differing learning experiences, and to make recommendations for designing teaching and learning that helps build their self-efficacy. [ABSTRACT FROM AUTHOR]