Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…

Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…

We sought to identify factors that optimize individual learning in complex, technology-enhanced learning environments. Undergraduates viewed tutorials and played a simulation-based game either alone or in groups and in either high or low cognitive load sequences and later took tests measuring comprehension of tutorials and transfer of computer…

Educational robots represent a unique form of teacher presence. Exploring how the communication features of robot instructors affect student learning experience could contribute to the advancement of educational robots. This study examined the impact of speech rate, voice type, and emotional tone of robots on students' cognitive load, attitudes…

Learning in a virtual environment has been found to foster students' affective responses, indicating the importance of exploring the factors which affect students' learning when engaged in a virtual game. This study aimed to explore the relationships among students' epistemic curiosity, situational interest, and learning engagement in an…

In collaborative learning, the intuition "the more device, the merrier" is somehow widely acknowledged, but little research has investigated the relationship between device-student ratio and the learning outcome. This study aims to investigate not only the main effect of different device-student ratio, also to identify the moderators in…

This study examined whether a video illustration of a complex phenomenon promoted learner interest, perceived comprehensibility, and better learning in online- and classroom-based contexts. In the first study, undergraduate participants (N = 101) viewed learning materials which contained a video only, a video and textual explanation, or a textual…

The extended constructs of technology acceptance model (TAM) have rarely been linked to psychological influence factors. This study complements for the missing link in literature through structural equation modeling and a nonparametric Mann-Whitney U test based on the data obtained from a large-scale questionnaire survey. It is concluded that (a)…

This study investigated the factors that led to students adopting cloud computing learning resources (CCLR) in underfunded, rural high schools with the aim of informing future work related to effective implementation of CCLR for underprivileged students. Guided by the CCLR adoption model, survey data of 310 students from two high schools in rural…

Multimedia students' dependence on information from the outside world can have an impact on their ability to identify and locate information from multiple resources in learning environments and thereby affect the construction of mental models. Field dependence-independence has been used to assess the ability to extract essential information from…

This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…

This study examined internal and external factors affecting pedagogical use of technology among 47 K-12 Chinese language teachers in the United States. Path analysis of the survey data was used to examine the relationships between the teachers' instructional use of technology, on the one hand, and on the other, their perceptions of three internal…

Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…

The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…

Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…