Technology has revolutionized education by completely changing the processes of acquiring and sharing information, which are the most important foundations of education. Technology has led to many significant changes, such as increased access and scope, personalized learning, improved interaction and collaboration, diversification of learning…

The article explores the importance of university students' knowledge of the world as an essential prerequisite for facing digital, ecological and human transitions. A study of 50 third-year students of primary education sciences investigates (a) familiarity with reflection during learning; (b) the influence of artificial intelligence in the…

This research examines the factors that affect critical thinking disposition (CTD) in Malaysian university students using AI-based educational technologies. It analyzes the impact of AI literacy (AIL), perceived ease of use (PEOU), perceived usefulness (PU), and motivation (MO) through the lens of the Technology Acceptance Model (TAM) and…

This paper reflects on two research projects undertaken a decade apart. The first, "Celebrating creativity collaboratively (CCC)," undertaken in 2009-10 (see Fitzgerald and Smith 2012), explored how a collaborative approach could inspire student teachers of English to become competent, confident teachers of creative writing. The second,…

Since ChatGPT offers free access for everyone, it has created a new phenomenon and has the potential to disrupt the education industry. The primary purpose of this quantitative study is to understand the factors that influence the use of ChatGPT in tertiary education, how it motivates students to learn and how the potential misuse negatively…

Mindfulness practices have proven to be effective for improving the mental health of many populations, including university students. However, these practices can be challenging for naive meditators. Virtual reality (VR) can create virtual scenarios that facilitate the practice of mindfulness. This study presents secondary data from a randomized…

Authentic assessment is a widely discussed concept in higher education, but it has a problem: the concept has become so all-encompassing that its meaning is now unclear. The notion has been expanded and diluted. For example, adding social justice to the definition or positioning exams as authentic, adds to the contradictions inherent within in the…

While there has been ample discussion regarding Artificial Intelligence (AI)'s contributions and challenges on the development agenda at the policy level, little is known about how students translate the potential and barriers of AI in achieving Sustainable Development Goals (SDGs). Drawing upon various qualitative data, including class…

The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives of the metaverse as a learning platform. Even though this technology was just recently introduced to the higher education sector, very few attempts have been made to evaluate its impact.…

Science learning motivation refers to the drive and enthusiasm that students exhibit towards learning science. Science learning competencies, on the other hand, are the skills and knowledge enabling students to understand and apply scientific concepts effectively. Digital literacy, defined as the ability to effectively use digital tools and…

The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM…

This research explores postgraduate students' attitudes and use of Artificial Intelligence (AI) tools in academic writing, using the Theory of Planned Behavior (TPB). Guided by the mixed method approach, quantitative and qualitative measures like questionnaires and interviews were adopted to gather data from postgraduate students. Descriptive…

Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…

The rapid rise of Generative AI in education has brought transformative potential. However, there is limited empirical insight into the factors influencing students' use of these tools and their impact on academic performance. Specifically, research has not thoroughly examined how task-technology fit and behavioral factors shape Generative AI…

This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. The study used the methods of a survey and online discussions. Participants verified that the present advancement…