LEARNING ANALYTICS FOR ENHANCED PROFESSIONAL CAPITAL DEVELOPMENT: A SYSTEMATIC REVIEW
- 1University of Granada, Spain
- 2Center for the Science of Learning & Technology, Faculty of Psychology, University of Bergen, Norway
Background/Motivation: This article presents a systematic review aimed at examining the utilization of learning analytics (LA) to enhance teachers' professional capital.The study focuses on three primary research questions: 1) exploring the characteristics and approaches of LA in professional capital, 2) investigating suggestions from LA for assessing and improving professional capital, and 3) examining variables studied in enhancing the most intricate dimension of professional capital using LA.To address the research objectives, a systematic review was conducted focusing on the key concepts "learning analytics" and "professional capital." Following the procedures outlined by Kitchenham and Charters (2007) and Pollock and Berge (2018), the review encompassed four stages: identification, screening, inclusion, and adequacy. The PRISMA 2009 protocol guided the systematic review process (Liberati et al., 2009).The findings of the study underscore the efficacy of LA as a catalyst for improving professional capital, particularly through collaborative learning and the utilization of tools like forums and online learning platforms. Social capital emerges as a pivotal component in integrating diverse types of professional capital, fostering opportunities for knowledge creation and social networking.In conclusion, the study highlights the paramount significance of addressing teachers' professional capital development through collaborative approaches and leveraging technology, particularly in primary education. The article concludes by emphasizing the imperative for more research and knowledge dissemination in this field, aiming to ensure equity in learning and address the challenges posed by the COVID-19 pandemic.
Keywords: professional capital, Learning analytics, social capital, Professional learning community, communities of practice
Received: 26 Sep 2023;
Accepted: 08 Jan 2024.
Copyright: © 2024 de La Hoz-Ruiz, Khalil, Domingo Segovia and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mx. Mohammad Khalil, Center for the Science of Learning & Technology, Faculty of Psychology, University of Bergen, Bergen, N-5020, Hordaland, Norway