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ERIC Number: EJ1467556
Record Type: Journal
Publication Date: 2025-Mar
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Available Date: 2025-02-03
K-12 Teachers' Acceptance and Resistance Perceptions of Learning Analytics Adoption: A Mixed-Methods Approach
TechTrends: Linking Research and Practice to Improve Learning, v69 n2 p385-399 2025
Learning analytics (LA) is an educational innovation that enhances teaching practices and facilitates student learning. However, the degree of LA adoption across schools remains limited, and teachers who adopt LA do not engage with it consistently. Based on the unified theory of acceptance and use of technology (UTAUT) as a framework, we conducted a perception survey and five focus group interviews with K-12 teachers, aiming to identify their expectations, needs, and perceptions of LA adoption. This study focuses on aspects related to LA's technology acceptance in school education. The research question is, "Using the UTAUT framework as a theoretical perspective, which factors explain the adoption of LA in schools? How do teachers describe their motivation and readiness for LA adoption?" The findings indicated that the factors facilitating LA adoption were performance expectancy, social influence, and feelings. Furthermore, the factors inhibiting the adoption of LA were effort expectancy, self-efficacy, facilitating conditions, and culture change. The implications and potential future research for adopting LA in schools are discussed.
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
Education Level: Early Childhood Education; Elementary Education; Kindergarten; Primary Education; Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Aristotle University, School of Informatics, Thessaloniki, Greece