A large body of research shows that physical activity helps school-aged children and adolescents improve their health and academic performance, and many different types of technology can be used to facilitate and promote physical activity within a school community. This study aimed to develop a valid and reliable questionnaire, titled the…

Artificial intelligence (AI) literacy is at the top of the agenda for education today in developing learners' AI knowledge, skills, attitudes and values in the 21st century. However, there are few validated research instruments for educators to examine how secondary students develop and perceive their learning outcomes. After reviewing the…

Traditional teaching methods like lectures can hinder the integration of theoretical knowledge and practical skills in higher education. To address this challenge, digital simulation games (DSGs) offer promising solutions through immersive and interactive learning experiences. Research shows that DSGs can motivate learners, enhance subject…

There are several specific digital tools now that have transformed the way science is taught. Correspondingly, teacher education programs have changed, and now they increasingly address the development of technology-related professional content knowledge (TPACK). Owing to the use of technology in specific domains of science teaching, there is an…

Self-regulated learning (SRL) is associated with university student academic success outcomes, however students often need support to develop these skills. Technology-mediated feedback is one strategy that may aid educators in supporting students' SRL development. This study aims to explore whether a technology-mediated feedback strategy targeting…

Purpose: Artificial intelligence (AI) is constantly evolving and is poised to significantly transform the world, affecting nearly every sector and aspect of society. As AI continues to evolve, it is expected to create a more dynamic, efficient and personalized education system, supporting lifelong learning and adapting to the needs and pace of…

This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…

The purpose of this quantitative, correlational predictive study was to determine if, and to what extent, scoring of an academic supervisor's transformational, transactional, or passive avoidant leadership by faculty members of regionally accredited four-year, degree-granting educational institutions across the United States separately predicts…

Students were tasked with the creation of videos of ordinary reactions to promote significant learning of complex concepts underlying chemical transformations. Interactive infographics were used to deliver instructions. Afterward, students planned the experimental setup for the reaction execution and video recording using their mobile phones. The…

In today's fast-paced ICT-driven world, understanding the factors influencing the effectiveness of online teaching and learning is paramount, especially during the Movement Control Order (MCO) when physical educational activities are restricted. Assessing the efficacy of undergraduate students under these circumstances can be particularly…

As time transforms education, methodology also needs to adapt to course instruction. However, instructors face a challenge to be effective while meeting each student's learning needs. One such need for students today is the implementation of technological approaches to learning. The purpose of this study was to determine the perceptions of a new…

Recent AI-based language learning research highlights learners' crucial role, yet university learner readiness in ChatGPT-based English learning remains unexplored. Accordingly, this current research attempted to develop and validate a tool to evaluate university learner readiness for ChatGPT-assisted English learning (LRCEL) to address the…

This study investigated the perceptions of secondary science teachers' usage of learning management system. The study used a quantitative method to examine responses about the concerns of secondary science teachers and the effect it has on using an LMS. The teachers responded to the Stages of Concern Questionnaire (SoCQ) using a Likert scale to…

This study explores factors influencing Nigerian Higher Education students to adopt ChatGPT in learning. Using the technology acceptance model (TAM), this research aims to identify the key factors influencing the behavioural intentions of Nigerian undergraduate students to adopt ChatGPT in their academic pursuits. This study's theoretical…

Purpose: This study aims to investigate the preferences of 96 educational researchers on the use of digital technologies in scientific research. Design/methodology/approach: The study was designed as a quantitative-dominant sequential explanatory mixed-method research. Findings: Despite the spreading use of advanced technologies of big data and…