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…

ChatGPT, a chatbot based on a Generative Pre-trained Transformer model, can be used as a teaching tool in the educational setting, providing text in an interactive way. However, concerns point out risks and disadvantages, as possible incorrect or irrelevant answers, privacy concerns, and copyright issues. This study aims to categorize the…

The extended duration of screen time associated with online courses may adversely impact the health and wellbeing of college students. This research aimed to investigate the indirect relationship between the duration of online coursework and the wellbeing of college students, considering insomnia and psychological distress as mediating variables,…

This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…

With the ability to predict learning behaviors, artificial intelligence (AI) is increasingly involved in assessing the performance of problem solving. This study explored the potential of AI to predict whether mathematics problems could be solved based on eye movements and handwriting in a digital problem-solving environment. Sixty-one students…

Background: For students, digital literacy is an essential competency, and technology-supported learning has become one of the most crucial methods for developing students' digital literacy. However, no academic consensus exists regarding whether technology-supported learning is effective in improving students' digital literacy. Objectives: This…

Background: The COVID pandemic exposed limitations in online learning platforms. This study explores Real-time Shared Gaze Visualizations (SGVs), which use eye-tracking data to restore non-verbal social cues and improve teacher-learner communication. We aim to: (1) identify gaze patterns linked to learning, (2) compare these patterns across visual…