In an era where technology is reshaping education, generative artificial intelligence (GenAI) has emerged as a powerful tool for transforming educational practices across disciplines. Tourism Management, as an applied field requiring a blend of conceptual, interpersonal, and technical competencies, can greatly benefit from the integration of GenAI…

With the growing integration of artificial intelligence (AI) tools into academic writing, especially in second language (L2) contexts, there is a pressing need to understand how disciplinary background and AI-mediated environments shape students' writing strategies. Grounded in Activity Theory, this study investigates the academic writing…

With the increasing use of technology in education, new learning and teaching approaches have begun to emerge. In order to choose an effective teaching method, it has become important to determine students' opinions and satisfaction levels towards these methods. This study aims to determine student evaluations and satisfaction levels towards…

Background/purpose: Blended learning can be an effective solution for improving the quality of education. The research problem lies in the lack of interest among a number of Iraqi university professors in improving blended learning in universities, as well as the lack of interest among students in developing and implementing blended learning in…

Technological development, particularly in experimental, is now embedded in physics textbooks. Therefore, this study analyzed how the basic inquiry and the integrated science process skills in digital-related experiments are distributed within physics textbooks of South Korea, the United Kingdom, and Indonesia. A descriptive qualitative content…

As artificial intelligence (AI) becomes increasingly integrated into academic spaces, questions about authorship, authenticity, and peer review are becoming more urgent. This exploratory study investigates the implications of AI-generated conference proposals by submitting a single, AI-authored proposal to 20 local, state, national, and…

Recent studies have highlighted the value of providing teachers TPACK-based courses in English-as-a-second-language (ESL) teacher training, yet its role in English-as-a-foreign-language (EFL) settings remains largely unexplored. This study, focusing on the case of a semester-long TPACK-based teacher preparation course designed for pre-service…

Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…

This essay examines the potential impact of paid-for or premium language models, where some students may be able to afford advanced models generating superior outputs while others could face inequities due to financial constraints. It explores how this dynamic can exacerbate the digital divide, challenge traditional as well as more recent…

The study investigates pre-service teachers' self-efficacy beliefs towards digital education. Using a simple random sampling technique, a total of 120 pre-service teachers were selected as participants. Data were collected through a self-efficacy questionnaire specifically designed to assess various factors influencing digital education readiness.…

Background: In professional contexts, engineers use engineering judgment to create mathematical models. Despite the importance of judgment in professional practice, the development and enactment of engineering judgment by engineering students are understudied. To better prepare students for engineering careers, there is a need to recognize and…

Entrance awards are financial incentives offered to admitted students at or near the time of admission. These awards are a frequently used tool to enhance yield rates among post-secondary institutions, sometimes among specifically-targeted populations. The impacts of these awards have been studied in many different contexts, using a variety of…

Background: In the UK, infant mortality rates are highest among families living in the most socio-economically deprived neighbourhoods. The Midlands region is among the areas with the highest rates in the country. Key modifiable risk factors, such as teenage pregnancy, smoking during pregnancy and not breastfeeding contribute significantly to…

ChatGPT and other large language models (LLMs) have the potential to significantly disrupt common educational practices and assessments, given their capability to quickly generate human-like text in response to user prompts. LLMs GPT-3.5 and GPT-4 have been tested against many standardized and high-stakes assessment materials (e.g. SAT, Uniform…

One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for qualified tutors remains a challenge, often necessitating the training of novice tutors (i.e., trainees) to ensure effective tutoring. Research suggests that providing timely explanatory feedback can…