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ERIC Number: EJ1461693
Record Type: Journal
Publication Date: 2025-Mar
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1726
EISSN: EISSN-1867-1233
Available Date: 2023-09-22
Exploring the Impact of Virtual Laboratory with KWL Reflective Thinking Approach on Students' Science Learning in Higher Education
Shenzhong Yan1; Daner Sun2; Qing Zhou3; Yuqin Yang4; Peiyao Tian2
Journal of Computing in Higher Education, v37 n1 p89-110 2025
The study of pedagogical design and development for virtual laboratory in science education in higher education is limited. Few tailored pedagogical approaches have been adopted for developing students higher order thinking (i.e. reflective thinking skills) in virtual laboratory enabled learning in the university level. For addressing these, this study borrowed the merits of virtual laboratory and Know-Want-Learn (KWL) reflective thinking approach, with considering the development of students reflective thinking, to support university students to learn physical chemistry concepts. To examine the impacts of this virtual lab with KWL reflective thinking approach on students' conceptual understanding and reflections, a quasi-experimental research was conducted among 30 students in experimental group and 28 students in control group in a university located in the north of China. Positive learning outcomes including were received based on quantitative and qualitative data analysis of pre- and post-test scores, questionnaire, reflection journals and selected interview. The study could inform the pedagogical design and the implementation of virtual lab for developing students' higher order thinking skills in the university level.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A
Author Affiliations: 1Shaanxi Normal University, Basic Experimental Teaching Center, Xian, People’s Republic of China; 2The Education University of Hong Kong, Department of Mathematics and Information Technology, Hong Kong SAR, People’s Republic of China; 3Shaanxi Normal University, School of Chemistry & Chemical Engineering, Xian, People’s Republic of China; 4Central China Normal University, Faculty of Artificial Intelligence in Education, Wuhan, People’s Republic of China