The integration of robots into classroom settings has a long-established presence in both general and vocational education. With the developments in Industry 4.0, the importance of robotics in schools has also increased, which has become clear through various funding programmes. Especially in general education, there is often a focus on utilising…

Drawing on theories of framing and social networks, we examine how educators define policy goals in a technology rollout, and how this framing process shapes teacher attitudes for technology. We analyzed social network data and 37 interviews with district leaders, digital learning coaches, and school staff from six elementary schools in a…

Learning analytics (LA) is an emerging area that has had extensive development in higher education in recent years, focused both on the learning process of students within subjects and on monitoring their trajectories in training programmes. However, most of the developments remain in the pilot phase without reaching institutional adoption. This…

This study examines teachers' motivations for using artificial intelligence (AI) applications in education from the perspective of Expectancy-Value Theory. The Expectancy-Value Theory is a framework used to explain the key factors that influence individuals' motivation to perform a specific task. In this study, the two main components of the…

In contrast to traditional views of instructional design that are often focused on content development, researchers are increasingly exploring learning experience design (LXD) perspectives as a way to espouse a broader and more holistic view of learning. In addition to cognitive and affective perspectives, LXD includes perspectives on…

The integration of Artificial Intelligence (AI) into education has heralded new paradigms for language learning, with conversational AI chatbots emerging as potent tools for fostering learner autonomy. Therefore, this article explores how conversational AI chatbots support and reinforce Self-Regulated Learning (SRL) in language acquisition. It…

Several universities are accelerating their tempo to navigate the rapidly changing environment towards the digital age. Previous literature has been interested in exploring the continuous trend of digital transformation, along with digital maturity models. However, there is still inconsiderable guidance for practitioners regarding the concrete…

This research studied self-directed learning in online English reading of seven secondary school students who attended a ten-week Computer-Assisted Language Learning (CALL) learner training. The CALL learner training was sequenced using Knowles's (1975) six steps of self-directed learning, which were setting climate, analyzing needs, setting…

Teachers' technological experiences are constrained by limitations in reflective decision-making and theoretical frameworks. Challenges with the technological pedagogical content knowledge framework (TPACK) are often associated with deficits in self-regulation. To effectively develop TPACK, it is recommended that educators focus on enhancing…

This article presents the development and validation of the Pre-Service EFL Teachers' Motivational Beliefs about Instructional Use of Technology scale (PTMB-EFL) using a randomly split sample. Confirmatory factor analysis supported a 23-item six-factor structure of the PTMB-EFL generated from exploratory factor analysis. Significant correlations…

The use of artificial intelligence (AI) is not a new concept. Still, the press, the worry, and the hype around the potential benefits and limitations of the explosion of these tools in this field is a current topic in teacher education. In this article, the authors summarize the past use of AI, present easily adaptable tools in teacher education,…