We focus on the integration of STACK--a Computer-Aided Assessment (CAA) technology--in the mathematics department of a high-ranking University in the United Kingdom. We study a department-wide project where instructors were expected to implement STACK into continuous assessment tasks for (nearly) all core modules across the first two years of…

This study investigates the role of educational technology, including artificial intelligence (AI), in improving learning outcomes and addressing the complexities of multi-grade classrooms. A qualitative research method based on the analysis of scientific papers was employed. The findings of the study include an examination of the role of AI in…

Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…

The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…

The COVID-19 pandemic has forced higher education institutions worldwide to rapidly transition to online learning, exposing vulnerabilities and highlighting the critical need for robust ICT infrastructure. This study investigates the readiness of network universities in upper northeastern Thailand to provide education using ICT during the COVID-19…

The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…

Background: Formative assessment is an essential element for improving teaching and learning in the classroom. During the COVID-19 pandemic and national lockdown, educators were confronted with the need to adapt to online assessment. South African educators also experienced challenges that made online formative assessment difficult. Aim: This…

The aim of this study was to investigate whether secondary science teachers had different styles of technology adoption for technology-based assessments (TBAs), and whether teachers with different adoption styles showed different patterns of beliefs, attitudes and intentions regarding TBAs. By combining the variable-centered and person-centered…

In the 2020-21 school year, school districts provided data on classroom-level use of educational technology assessments. Districts also reported data about instructional opportunities in educational technology at the elementary, middle, and high school levels. The educational technology assessments developed by the Office of Superintendent of…

Flipped blended learning (FBL) has become popular in translator training, requiring teachers to adapt their beliefs and attitudes towards blended learning to design and implement professional training programmes. This study investigates the effects of FBL on competence improvement in translation technology education. Using an action research…

The integration of generative artificial intelligence (GenAI) into web-based individual formative e-assessments in higher education is a nascent field that warrants further exploration. This study investigated the use of GenAI within an 8-week undergraduate-level research methods course at a university in the United States of America, aiming to…

Higher education is examining artificial intelligence (AI) as a key to increasing productivity and efficiency as colleges race to remain relevant and competitive in a rapidly evolving industry. With the increase of students taking online classes, professors are looking for solutions to help maintain integrity with their testing remotely. AI has…

Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…

The current paper focusses on the teachers' attitude towards and experiences with e-learning tools at two universities in different phases of e-learning implementation. The study population comprises teachers at university level and a simple random sampling method was used. A total of 45 teachers in bachelor programmes from the Faculty of…

This paper proposes an education 3.0 system called Mutual Learning Community (MLCOM) by combining the subsystems of the Virtual based Learning Classroom (VLC), Mobile based Learning Classroom (MLC), and Flipped Learning Classroom (FLC). In terms of originality, the findings lead to the key elements of the system architecture to develop MLCOM,…