Table of Contents for JITE: Research, Volume 25, 2026

Aim/Purpose: This paper examines the effect of using Quizizz on students’ learning motivation and test anxiety in an EFL classroom in Indonesia, employing Keller’s ARCS model of motivation as the theoretical framework. Background: Engaging students in the learning process can be challenging, particularly in the current environment where many students rely heavily on digital devices outside the cl ...

Aim/Purpose: The study investigates the factors influencing the acceptance and utilisation of large language models (LLMs) (predictor variables of LLM usage), such as ChatGPT, in Learning design by instructional designers and university-teaching academics from various countries. Background: Large language models (LLMs) have exploded onto the scene, transforming the landscape of learning design. I ...

Aim/Purpose: This study examined the factors influencing students’ continued intention to use LLM-based AI chat systems in higher education, addressing the limited research on sustainable AI adoption in learning contexts. The model integrates the Information Systems Success Model (ISSM) within the Stimulus-Organism-Response (S-O-R) framework, with Information Quality, Service Quality, System Quali ...

Aim/Purpose: This study aims to determine whether a task-based virtual reality (VR) experience can significantly enhance users’ factual understanding and cultural appreciation of a lesser-known archaeological site. The purpose is to evaluate how an interactive reconstruction task impacts perceived educational value and emotional engagement in a cultural heritage context. Background: Many virtual ...

Aim/Purpose: This study examines the role of peer networks in promoting social learning to address Veo3 (a web-based artificial intelligence (AI) video generation tool) rather than common top-down formal learning interventions. Background: In a top-down formal learning intervention where the instructor is only present in a workshop, the teaching methods only outline how to write prompts. The inst ...

Aim/Purpose: This study employs the Stimulus-Organism-Response (SOR) framework to investigate the psychological drivers of learners’ continuance intention toward AI tutors. The study explores how five core service quality dimensions (aesthetics, control, personalization, responsiveness, and reliability) shape learners’ internal states, conceptualized as a dual system consisting of rational attitud ...

Aim/Purpose: To examine how ethical awareness, cognitive appraisal (trust and perceived usefulness), digital competence, academic performance, and gender influence university students’ ethical use of ChatGPT and academic integrity. Background: This study explores how university students’ use of ChatGPT influences academic integrity in higher education. It responds to emerging integrity challenges ...

Aim/Purpose: This study investigates the underexplored interdependence of social presence and well-being in online learning. It aims to clarify their reciprocal relationship and identify technology-enabled strategies that support both constructs, along with the associated challenges and support factors, to help educators design socially engaging and well-being supportive online environments. Back ...

Aim/Purpose: To address the research gap in terms of evidence on students’ integration of STEM concepts in challenge-based learning (CBL) in the context of senior high school (SHS) robotics. It also evaluates the extent to which robotics can support students in achieving integrated STEM subject areas through the Situated STEM Learning lens. Background: Research shows that educational robotics and ...

Aim/Purpose: The successful integration of immersive virtual reality (imVR) in education depends on various factors, including educators’ views and intentions. Pre-service teachers represent an important demographic as they can play a pivotal role in shaping future educational practices. Therefore, understanding the factors that shape their intentions to use this technology is important. Backgro ...

Aim/Purpose: This study investigates how users’ behavioral intention to adopt AI-powered learning platforms in Thailand is influenced by both traditional acceptance factors and organizational strategic capabilities, addressing the limited understanding of adoption determinants in rapidly evolving educational AI ecosystems. Background: While substantial research has examined behavioral factors aff ...

Aim/Purpose: To examine how chemistry teachers’ content, pedagogical, and technological knowledge (CK, PK, TK) and their intersection domains, pedagogical content knowledge (PCK), technological content knowledge (TCK), technological pedagogical knowledge (TPK) interact within the Technological Pedagogical and Content Knowledge (TPACK) framework when integrating augmented reality (AR), with a parti ...

Aim/Purpose: The purpose of this study is to identify teachers’ and school administrators’ readiness for artificial intelligence (AI) integration by conducting a comprehensive needs analysis, with a particular focus on the role of prompt literacy as an emerging dimension of AI competence. Background: While AI-based tools are more widely accessible in educational settings, many educators struggle ...

Aim/Purpose: This study aimed to investigate the potential of integrating Generative Artificial Intelligence (GenAI) in tertiary education. It examined current practices among teachers and learners regarding GenAI, as well as their perceptions of its benefits and challenges. Background: Higher education worldwide is seeing the increasing use of GenAI. However, its usage patterns and teachers’ and ...

Aim/Purpose: This study aims to identify and explain the key factors influencing the artificial intelligence (AI) readiness of in-service secondary Vietnamese teachers, addressing the lack of empirical evidence on how teachers progress from initial acceptance to active instructional integration of AI. Background: While AI is increasingly promoted in education policy and practice, teachers’ readin ...

Aim/Purpose: This study examines limitations in existing AI adoption models in education, which often treat data quality, interpretability, trust, and organizational factors as independent elements. This separation may lead to incomplete explanations of AI implementation outcomes in educational information systems. Background: This study introduces and empirically examines the Data–Knowledge Alig ...

Aim/Purpose: To address the lack of a clear pedagogical framing of prompt engineering in secondary education and to analyze how it is currently conceptualized in educational research. Background: While secondary school students increasingly use generative AI tools, prompt engineering is often treated as an implicit technical skill rather than as an explicit educational practice linked to metacogn ...

Aim/Purpose: The study proposes and evaluates a theory-driven analytics methodology for inferring learners’ cognitive load and performance from Moodle log data in online learning environments. Background: Although Moodle captures rich learner interaction data, existing analytics largely focus on descriptive engagement metrics and provide limited insight into learners’ cognitive processes. This ...

Aim/Purpose: This study systematically reviews machine learning techniques for predicting undergraduate student dropout in higher education, identifies related risk factors, explores methodological gaps in Machine Learning (ML)-based dropout prediction, and outlines directions for future research and institutional implementation. Background: Student dropout remains a persistent global challenge w ...

Aim/Purpose: Despite the persistent challenge of low learner engagement in Massive Open Online Courses (MOOCs), particularly in Global South contexts, this study examines how artificial intelligence (AI)–enabled learning experiences shape multidimensional learner engagement in higher education MOOCs in Vietnam, based on an extended UTAUT2 framework. Specifically, it investigates the mediating role ...

Aim/Purpose: This study examines the factors influencing the actual use of e-learning in higher education institutions (HEIs) by integrating the Technology Acceptance Model, the Theory of Planned Behavior, and the Expectation-Confirmation Model, while incorporating self-efficacy and perceived enjoyment to enrich the framework. Background: The use of e-learning serves as a technology-based alterna ...

Aim/Purpose: This study aims to investigate how artificial intelligence (AI) can function as a pragmatic coach to enhance English as a Foreign Language (EFL) learners’ awareness, reflection, and application of politeness and appropriateness in online communication. It seeks to explore the potential of AI-mediated formative assessment for developing learners’ pragmatic competence, emphasizing both ...

Aim/Purpose: This paper examines how learning media function as social artefacts that influence academic self-efficacy and perceived applied physics literacy, and addresses the need to understand the role of aesthetic design and cultural relevance in vocational STEM education. Background: While interactive and visually appealing media are widely used, their combined impact with culturally relevan ...

Aim/Purpose: This study investigates how digital transformation in higher education influences sustainable entrepreneurial learning practices, examining the mediating role of innovation capability and the moderating role of entrepreneurial self-efficacy. Background: Despite growing investments in digital transformation within higher education, a clear understanding of its mechanisms for fostering ...

Aim/Purpose: This study investigates the motivational and systemic barriers constraining computer-aided learning (CAL) adoption in South African high school accounting education. Background: Despite growing expectations for digital competence in the accounting profession, CAL adoption in South African schools remains limited. Prior research has focused on access, infrastructure, and skills, offer ...

Aim/Purpose: This study examined whether embedding ChatGPT (GPT-4o) within Student Teams Achievement Divisions (STAD) cooperative learning improves academic achievement, learning attitudes, and interaction equity for linguistically heterogeneous undergraduates. Background: Linguistically diverse classrooms face an equity problem in which language proficiency operates as a status characteristic. M ...

Aim/Purpose: This study investigates the challenges undergraduate IT students in Kazakhstan face in mastering APA citation style and evaluates the impact of introducing citation instruction earlier in the curriculum. Background: In English-medium instruction (EMI) contexts, particularly in post-Soviet educational systems, students often have limited prior exposure to international academic writin ...

Aim/Purpose: This study aims to analyze students’ acceptance of mobile robotics training kits in vocational education by extending the Technology Acceptance Model (TAM) through the integration of the cognitive load dimension. This study stems from the limited number of studies that explain the acceptance of robotics learning technology from the perspective of students’ cognitive processes. Backgr ...

Aim/Purpose: This systematic literature review aims to comprehensively and critically synthesize the impacts of generative artificial intelligence (GenAI) tools on students’ critical thinking (CT) and problem-solving (PS) skills. In addition, it seeks to identify key research gaps and contribute to the theoretical discussion of GenAI’s dual nature in education. Background: GenAI is increasingly i ...