Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…

This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…

Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods -- AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in…

Many studies show the effectiveness of using the Flipped Learning model to increase students' understanding. However, there are scant research results that integrate PowerPoint in Flipped Learning to improve students' understanding. The present study aimed to describe the effectiveness of the PowerPoint-Based Flipped Learning model in increasing…

This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…

Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…

In the present times, digital transformation has gained momentum. Contemporary higher education institutions have been embracing new technologies and transforming their practices, business models and process. Digital transformation in the higher education institutions is about the development of new more advanced and effective methods and…

This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…

Cloud service is an emerging technology in Higher education institutions (HEIs). However, while providing this technology, quality of service (QoS) not given sufficiently important attention especially from the HEIs and decision makers. In this research, previous QoS models and frameworks are reviewed of researches done in this field are…

The outbreak of the coronavirus disease (COVID-19) has caused unprecedented global socio-economic disruptions. One of the areas negatively impacted is the education system. The country's over reliance on traditional face-to-face teaching has brought about serious challenges to policymakers who have to decide how learning would proceed in the…

Mobile learning (M-learning) is a learning paradigm that utilizes the advantages of mobility and wireless technologies in the learning and education process. It can be characterized by the ability to support and provide strong interaction between learners and instructors, offering high levels of learning motivation, collaboration, and flexibility…

This article condenses five years of professional development based on Technological Pedagogical and Content Knowledge (TPACK) integration principles, National Council of Teachers of Mathematics Principles to Actions (2014), and ISTE Student and Teacher standards to give a launch point for teachers and teacher educators to integrate 3D modeling…

Opportunities to learn how to develop engaging learning experiences are vital for preservice teachers. This article describes an in-class modeling activity, provides assignment guidelines, and includes examples of candidates' completed tasks when developing technology-integrated instruction using Quick Response (QR) codes. The content of…

Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…

This study extends the understanding of the process of teachers' technology adoption by investigating the dynamic nature of the adoption process. We propose a nonhomogeneous hidden Markov model that reveals the dynamics of teachers' adoption over time and examines the impact of internal and external factors, including experiences, interventions,…