Intelligent personal assistants (IPAs) carry massive potential in enhancing students' performance through individualized dynamic scaffolding strategy. Despite IPAs being increasingly recognized among educationists, little is known about their application in the development of students' scientific inquiry skills, particularly in physics. This study…

Mobile learning (M-learning), ChatGPT and social media are integral to university education, improving accessibility, personalization and interactive engagement in the learning process. This paper aimed to investigate the role of M-learning, ChatGPT and social media in university students' academic performance. It was a cross-sectional…

This design case focused on the design of an intervention set aimed at capturing and sharing tacit knowledge in the workplace. The design case demonstrated the design process of expanding a single chatbot intervention into a comprehensive hybrid intervention set to cooperate with learners of different technology competencies and learning needs.…

Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…

Purpose: The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach: This paper designs systems that reuse…

What does it mean to write, learn to write, and teach writing in an age when students can use the latest artificial intelligence (AI) co-authoring tools to produce entire essays without even adding an original idea or composing a single sentence? This article addresses questions of authorship and academic integrity concerning the use of AI writing…

This paper explores the concept of self-efficacy and its impact on individual performance on a mobile learning application. Self-efficacy refers to one's belief in their ability to achieve their goals and is a key factor in everyday life. To investigate the relationship between self-efficacy and performance, we conducted an experiment with 104…

Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autism spectrum disorder, evidence-based strategies, such as prompting and task analysis, may be effective in teaching these skills. Due to the shortage of experts who teach individuals with IDD skills…

This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…

Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…

Notwithstanding the increase in research on artificial intelligence-infused English language learning, several issues remain inadequately addressed. Thus, this paper provides a systematic review and analyzes previous studies to pinpoint fruitful knowledge gaps and outline approaches for future research directions. Two approaches, bibliometric and…

Technology-mediated interactions and datafication are increasingly central in contemporary social dynamics and institutions, including teaching and learning processes. In order to fully understand the complex entanglements of human and non-human actants that emerge in postdigital education, it is essential to imagine new methodological approaches…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

The teaching of children with Autism spectrum disorder (ASD) in Arabic-speaking countries depends mainly on the traditional techniques which are limited and outdated. On the other hand, smartphone applications (apps) have become an essential part of the current life style. They are literally used to accomplish thousands of different tasks related…

The purpose of this study was to investigate the impact of mLearning or mobile device practice on the attention and accuracy of student's use of math concepts, specifically, telling time. A single subject, alternating treatment design was used to compare mLearning to paper and pencil practice in four 3rd grade male students. Results were mixed;…