This study uses one-step meta-analytic structural equation modelling to delve into the technology acceptance model's (TAM) application within education, assessing perceived usefulness, ease of use, intentions to use, and actual technology use. It synthesises previous findings to validate the TAM's effectiveness and uncover the model's predictive…

Aim/Purpose: The purpose of this systematic literature review is to evaluate the application of UTAUT and UTAUT2 frameworks in K-12 education. Background: This study included an analysis of peer-reviewed empirical studies that use the UTAUT and UTAUT2 frameworks to understand the factors that influence technology adoption among K-12 educators. New…

Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…

During the past decades a respectable number and variety of theoretical perspectives and practical approaches have been advanced for studying determinants for prediction and explanation of user's behavior towards acceptance and adoption of educational technology. Aiming to identify the most prominent factors affecting and reliably predicting…

The paper applies a scoping review of k = 16 empirical studies from nine countries and three continents that aim at an empirical investigation of teachers' ICT integration in lesson plans as part of their professional competence. We summarise the results into four sections: conceptualisations, study design, measurement instruments, and key…

Technological Pedagogical Content Knowledge (TPACK) studies have surged over the past few years, however, there is a lack of studies that have comprehensively reviewed and synthesized data on teachers' TPACK self-efficacy. The present review aimed to provide data on research methods, study samples, subject domains, and evaluation approaches used…

The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both database searching and backward snowballing. In total, 77 related publications published between 2011 and April 2023 were…

This scoping literature review examines the relationship between ICT and performance scores in mathematics and science for students around the world included in the PISA assessment. In this review we examined 25 publications and showed that the relationship between ICT and academic achievement is not consistent. The different types of ICT revealed…

As online learning has been widely adopted in higher education in recent years, artificial intelligence (AI) has brought new ways for improving instruction and learning in online higher education. However, there is a lack of literature reviews that focuses on the functions, effects, and implications of applying AI in the online higher education…

A meta-analytic study was conducted of the "Unified Theory of Acceptance and Use of Technology" to understand higher education instructors use of technology in teaching and learning. Through broad searches of the years 2003-2023, 117 records were identified for initial review. After reviewing the studies and removing those studies that…

Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…

Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…

Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…

Short-term memory (STM) and working memory (WM) capacity, which are at the centre of information processing, are significant predictors of learning in both children with typical hearing (TH) and hearing loss. We compared the performance of long-term cochlear implant (CI) users with their typical hearing (TH) peers on verbal short-term memory…

The infusion and diffusion of the interactive whiteboard (IWB) has attracted considerable interest in educational contexts over the past years. However, research to date has been controversial with regard to the effectiveness of IWB-based instruction on cognitive learning outcomes. This study identified empirical publications that examine…