The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived…

Artificial intelligence has become an important force in higher education, especially in language learning. Existing research has mainly focussed on its influence on academic performance, with limited attention to psychological outcomes, so this study aimed to examine the effects of personal learning experience, social emotional learning and…

Despite their use in the classroom remaining controversial, generative AI chatbots that utilize LLMs have revolutionized all aspects of learning, formal and informal, and are proving remarkably useful in a second-language setting even if not primarily designed for foreign language learning. Across the globe, students' and faculty members' written…

The COVID-19 outbreak necessitated a rapid transition to eLearning in higher education institutions worldwide, including Uganda, where infrastructural and digital literacy challenges compounded this shift. Predicting student satisfaction with eLearning systems helps institutions evaluate how well these platforms are working, assess their future…

As AI technologies become increasingly integrated into education, this research investigates how students react to AI-generated versus human feedback in teamwork skills assessment. In Study 1, 108 students completed a virtual teamwork simulation and received assessment feedback framed as either AI- or human-generated. Students showed a clear…

This publication summarises Australian employers' use and views of the vocational education and training (VET) system, and focuses on employer engagement and satisfaction with both accredited and unaccredited training. The findings are derived from the 2025 Survey of Employers' Use and Views of the VET System, a biennial survey that collects…

Purpose: The purpose of this study was to develop and apply machine learning methods that accommodate and leverage process heterogeneity when investigating mediation. We develop causal machine learning methods that relax assumptions of (indirect) effect homogeneity, accommodate high dimensional mediator sets, capture heterogeneous,…

The emergence of Generative Artificial Intelligence (AI) tools has sparked heated debates across higher education institutions, particularly concerning how students have been making "use" of it. Faculty mostly approach AI either as a potential tool for plagiarism that poses a threat to academic integrity or as a tool that can be used in…

Purpose: This paper highlights the transformative impact of information and communication technologies (ICTs) on education, focusing on their potential to revolutionize teaching methods. It also explores the global trend of integrating technology-based learning into educational curricula. Design/methodology/approach: A comprehensive literature…

The rapid emergence of generative artificial intelligence (GenAI) tools has underscored the urgent need for pre-service teachers to develop technological pedagogical content knowledge (TPACK) and self-regulated learning (SRL) strategies -- both critical for integrating AI into classrooms. However, existing teacher education programmes lack…

Teachers' technological knowledge is essential for integrating Artificial Intelligence (AI) into language education. Additionally, teachers' self-efficacy and attitudes toward AI can foster the integration of AI tools in education. This study developed an Artificial Intelligence -- Technological Pedagogical Content Knowledge (AI-TPACK) framework…

Generative Artificial Intelligence (GenAI) is catalyzing a paradigm shift in higher education, demanding new pedagogical approaches that integrate AI literacy as a core competency. This paper addresses the long-standing challenge of teaching acoustics, a field often perceived as abstract and mathematically intensive by undergraduate students. We…

Purpose: The purpose of this study is to investigate the accuracy and creativeness of ChatGPT in the domain of quantitative aptitude. Design/methodology/approach: ChatGPT 3.5 is used to generate multiple-choice quantitative aptitude questions. A total of 1,100 questions were created across 11 different areas of quantitative aptitude. A dataset is…

This study examines the impact of AI-assisted writing feedback on the writing skills of secondary-level EFL students. A sample of 60 Turkish high school students was divided into an experimental group receiving feedback from an AI writing assistant and a control group receiving traditional teacher feedback. Over an 8 week period, students wrote…

Unbeknownst to many researchers, online surveys can be vulnerable to attacks from bots and generative artificial intelligence (AI), which can generate hundreds of fraudulent responses instantly. Confronting this challenge to data integrity, we employed an adaptive approach to test the effectiveness of various anti-fraud tactics (e.g., CAPTCHA;…