Next Article in Journal
Reflections of a First-Year Chemistry Teacher: Intersecting PCK, Responsiveness, and Inquiry Instruction
Next Article in Special Issue
Co-Created Virtual Reality (VR) Modules in Landscape Architecture Education: A Mixed Methods Study Investigating the Pedagogical Effectiveness of VR
Previous Article in Journal
A Quasi-Experimental Study on the Development of Creative Writing Skills in Primary School Students
Previous Article in Special Issue
Improving Elementary Pre-Service Teachers’ Science Teaching Self-Efficacy through Garden-Based Technology Integration
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of Learning Analytics Guidance on Student Self-Regulated Learning Skills, Performance, and Satisfaction: A Mixed Methods Study

by
Dimitrios E. Tzimas
* and
Stavros N. Demetriadis
School of Informatics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Educ. Sci. 2024, 14(1), 92; https://doi.org/10.3390/educsci14010092
Submission received: 30 November 2023 / Revised: 9 January 2024 / Accepted: 10 January 2024 / Published: 15 January 2024
(This article belongs to the Special Issue Advances in Technology-Enhanced Teaching and Learning)

Abstract

Learning analytics (LA) involves collecting, processing, and visualizing big data to help teachers optimize learning conditions. Despite its contributions, LA has not yet been able to meet teachers’ needs because it does not provide sufficient actionable insights that emphasize more on analytics and less on learning. Our work uses specific analytics for student guidance to evaluate an instructional design that focuses on LA agency between teachers and students. The research goal is to investigate whether the minimal and strong guidance provided by the LA learning approach has the same impact on student outcomes. The research questions are as follows “Does the LA-based minimal and strong guidance learning approach have the same impact on student performance and SRL skills? What are the students’ learning perceptions and satisfaction under LA-based guidance?” A mixed methods study was conducted at a university in which LA-based strong guidance was applied to the experimental group and minimal guidance was given to the control group. When strong guidance was applied, the results indicated increased final grades and SRL skills (metacognitive activities, time management, persistence, and help seeking). Furthermore, student satisfaction was high with LA-based guidance. Future research could adapt our study to nonformal education to provide nuanced insights into student outcomes and teachers’ perceptions.
Keywords: learning analytics; teaching guidance strategies; self-regulated learning; mixed methods learning analytics; teaching guidance strategies; self-regulated learning; mixed methods

Share and Cite

MDPI and ACS Style

Tzimas, D.E.; Demetriadis, S.N. Impact of Learning Analytics Guidance on Student Self-Regulated Learning Skills, Performance, and Satisfaction: A Mixed Methods Study. Educ. Sci. 2024, 14, 92. https://doi.org/10.3390/educsci14010092

AMA Style

Tzimas DE, Demetriadis SN. Impact of Learning Analytics Guidance on Student Self-Regulated Learning Skills, Performance, and Satisfaction: A Mixed Methods Study. Education Sciences. 2024; 14(1):92. https://doi.org/10.3390/educsci14010092

Chicago/Turabian Style

Tzimas, Dimitrios E., and Stavros N. Demetriadis. 2024. "Impact of Learning Analytics Guidance on Student Self-Regulated Learning Skills, Performance, and Satisfaction: A Mixed Methods Study" Education Sciences 14, no. 1: 92. https://doi.org/10.3390/educsci14010092

APA Style

Tzimas, D. E., & Demetriadis, S. N. (2024). Impact of Learning Analytics Guidance on Student Self-Regulated Learning Skills, Performance, and Satisfaction: A Mixed Methods Study. Education Sciences, 14(1), 92. https://doi.org/10.3390/educsci14010092

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop