Zsolt Lavicza
Johannes Kepler University

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Towards Flipped Learning in Upper Secondary Mathematics Education Robert Weinhandl; Zsolt Lavicza; Stefanie Schallert
JME (Journal of Mathematics Education) Vol. 5 No. 1 (2020): JME
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/jme.v5i1.1114

Abstract

Challenges for students in the 21st century, such as acquiring technology, problemsolving, and cooperation skills, also necessitate changes in mathematics education to be able to respond to changing educational needs. One way to respond to these challenges is by utilizing recent educational innovations in schools, for instance, among others are flipped learning (FL) approaches. In this paper, we outline our explorative educational experiment that investigates vital elements of mathematics learning in FL approaches in upper secondary education. We describe the methodologies and findings of our qualitative study based on design-based research to discover key elements of FL approaches in upper secondary education. Analyzing the oral and written data collected over ten months using grounded theory approaches suggested categories (a) confidence when learning; (b) learning by working, and, and (c) flexibility when learning could be essential to understand FL approaches practices in mathematics classrooms. These categories indicate that when using FL approaches in mathematics learning, it could be essential for students to acquire knowledge in a confident and adaptable environment actively.
Enhancing Computational Thinking Skills through Digital Literacy and Blended Learning: The Mediating Role of Learning Motivation Putri Nirmala; Iwan Suhardi; Andi Baso Kaswar; Dewi Fatmarani Surianto; Muhammad Fajar B; Soeharto Soeharto; Zsolt Lavicza
Online Learning In Educational Research (OLER) Vol. 5 No. 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.504

Abstract

In the digital era, computational thinking becomes an essential skill to overcome technological challenges in 21st centuryeducation. This study investigates the impact of digital literacy and blended learning on computational thinking skills, focusing on the mediating role of learning motivation. A total of 413 university students from blended learning environments participated, using a structured questionnaire with validated scales for digital literacy, computational thinking, and learning motivation. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test direct and mediation relationships. The results showed that digital literacy and blended learning significantly influenced computational thinking, with learning motivation acting as a mediator that strengthened this relationship. Digital literacy showed a greater influence than blended learning. These findings highlight the importance of integrating digital literacy and motivational strategies into blended learning to optimize the development of computational thinking skills, as well as providing insights for learning design that is relevant to the needs of the 21st century.
Enhancing Digital Learning in Higher Education: The Mediating Role of Academic Self-Efficacy in Motivation and Engagement Nurrahmah Agusnaya; Abdul Wahid; Muh. Akbar; Wahyu Hidayat M; Sanatang Sanatang; Soeharto Soeharto; Zsolt Lavicza
Online Learning In Educational Research (OLER) Vol. 4 No. 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.505

Abstract

This study investigates the impact of Relevant and Applicable Content (RAC) and Learner Support (LS) on Motivation and Engagement (ME) in digital learning, mediated by Academic Self-Efficacy (ASE). Higher education faces challenges in maintaining student motivation and engagement along with the rapid growth of digital learning technologies. However, limited research has explored the roles of RAC and LS in this context. This study aimed to address this gap by examining ASE's mediating influence. A quantitative approach was utilized, collecting data through self-report questionnaires from 375 university students. Structural Equation Modeling (SEM) was used to analyze the relationships among variables. The results revealed that RAC and LS positively influenced ME directly and indirectly through ASE. These findings emphasize the need for relevant content and robust learner support to design effective digital learning programs. Implementing these strategies can foster motivation, engagement, and student-centred learning outcomes in higher education