The Practice of Gaining Universal Values Based on Learning Analytics Framework-Reference-Cited by-同舟云学术

The Practice of Gaining Universal Values Based on Learning Analytics Framework

Published:2021 Issue: Volume: Page:127-140
ISSN:2326-8905
Container-title:Advancing the Power of Learning Analytics and Big Data in Education
language:
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Author:

Ayda Nedime Karasel¹,Altinay Zehra²,Altinay Fahriye³,Dagli Gokmen⁴,Ossiannilsson Ebba⁵^ORCID

Affiliation:

1. Faculty of Education, University of Kyrenia, Cyprus

2. Societal Research and Development Center, Faculty of Education, Near East University, Cyprus

3. Societal Research and Development Center, Faculty of Education, Institute of Graduate Studies, Near East University, Cyprus

4. University of Kyrenia, Cyprus

5. International Council for Open and Distance Education (ICDE), Norway & European Distance and e-Learning Network (EDEN), UK & Swedish Association for Distance Education (SADE), Sweden

Abstract

This chapter encapsulates the framework of learning analytics. It is aimed to evaluate leisure activities and practices of students in learning outcomes based on the role of learning analytics framework. Qualitative research method was employed, and action research was conducted through activities to the 33 students. Data was analyzed based on content analysis. Metaphoric understanding and analysis of perceptions on activities were evaluated within the framework of learning analytics. It is seen that students felt the value of practice-based activities, and they become satisfied in their leisure times with different activities. In-service training is essential for teachers to develop the practice of leisure education.

Publisher

IGI Global

Reference37 articles.

1. Being leader in global citizenship at the information technology age

2. Career success in a boundaryless career world

3. Learning analytics methods, benefits, and challenges in higher education: A systematic literature review.;J. T.Avella;Online Learning,2016

4. Educational Data Mining and Learning Analytics: Applications to Constructionist Research