Previous research has extensively explored the integration of Information and Communication Technology (ICT) in education. However, much of previous research has not differentiated between the environments where ICT is used, particularly in terms of its perceived usefulness in school versus at home. This gap in understanding the contextual…

This study employs Structural Equation Modeling (SEM) and the Technology Acceptance Model (TAM) framework to explore the factors influencing Massive Open Online Courses (MOOCs) usage among college students in Southwest China. Using probability sampling, data were collected from 602 participants through an online survey distributed over a period of…

The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…

This research explores adoption of the Deepseek, an artificial intelligence (AI) platform among higher education students in India by integrating the Technology Acceptance Model (TAM) with learning motivation factors. Given the rapid rise of AI-based platforms in educational sector, understanding their adoption is not only timely but also…

This novel qualitative study explores the transformative potential of Virtual Reality (VR) in augmenting Computer-Based Training (CBT) for energy industry contractors. By immersing participants in four VR simulations, the study delves into the heart of how learners perceive hazardous work environments and emergency procedures in VR. The findings…

The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…

Adopting an evolutionary approach to substantiate major characteristics of human cognitive architecture has been one of the major recent developments in cognitive load theory. According to this approach, human cognitive architecture is a natural information processing system which can be described by five general principles. This paper attempts to…

Purpose: The present study's goal is to assess the effect of a serious game on the development of entrepreneurial competence, self-efficacy and intention and thereby contribute to clarifying the usefulness of this approach in entrepreneurship education. Design/methodology/approach: The study sample and method included 76 graduate students,…

Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…

With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…

While extensive studies on informal online learning have been well documented to afford teachers' collaborative learning and knowledge sharing, little is still known about their motivational factors regarding the continuance intention of informal online learning. To this end, an extended expectation confirmation model (ECM) was proposed including…

Student dropout is a frequent phenomenon in higher education institutions that entails high costs for individuals, institutions, and society as a whole. Thus, it is crucial to identify protective factors regarding dropout in cases in which it could have been prevented. In line with Person-Environment Fit Theory, we assume that intrinsic motivation…

The current study investigated the relationship between motivation to attend college, college integration, and persistence intentions among first-generation college students (FGCS). Participants consisted of 414 FGCS from two 4-year institutions in the mountain and southwestern regions of the United States. Through latent class analysis, this…

As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…