Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…

This study aims to demonstrate the effect of a transtheoretical model (TTM)-based physical activity program on the exercise behavior of adolescents using WhatsApp. The study was conducted with high school students (N = 185) in a pre-/posttest, quasi-experimental design. TTM-based text messages were sent to the intervention group (n = 95) over…

The need to virtually collaborate across distributed locations has drastically increased. Developments such as the COVID-19 pandemic and new IT platforms like the metaverse have spurred a host of new immersive social applications that are accessed through head-mounted displays. This is expected to stimulate a surge in research on extended…

Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…

Previous studies compare quantitative feedback ratings of student peers and instructors, but new presentation-feedback technologies enable qualitative-feedback comparison. This study extends previous research by comparing qualitative feedback and business professionals' feedback. Compared to the professionals, the instructors provided similar…

This study examined the effects of reflective practices (RP) on self-directed learning competencies (SDLC) as well as the relationship between technology-mediated collaborative learning (TMCL) as a reflective practice and SDLC in a preservice teachers' class. Regression analyses were conducted to examine the effects of RP on SDLC. In addition, a…

Atomic/molecular visualization for human sight is usually generated by a software that reproduces a 3D reality on a 2D screen. Although Virtual Reality (VR) software was originally developed for the gaming industry, now it is used in academia for chemistry teaching. This work reviews the scientific literature on 3D visualization in stereoscopic…

With the increasing use of mobile phones among young people, there is growing public concern about possible detrimental effects of digital writing on learners' literacy and language skills. We ask whether and to what extent nonstandard forms typical of spoken Hebrew and of digital communication are also found in the formal writing of high-school…

This study aimed to evaluate the utility of artificial intelligence (AI) in improving the persuasive communication skills of online Master of Business Administration (MBA) students. In particular, this study investigated the influence of personalization through AI using the Google Gemini platform on conventional and online instructional…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

The current study was planned to find out if the use of blended learning as a combination of face-to-face instruction and mobile-assisted language learning using WhatsApp contributed to the vocabulary learning and autonomy of Iranian EFL learners compared to the traditional method. To assess their English skills, PET was given to 80 homogenous…

Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…

This study explored the effects of three types of lexical tools (MOOCs, E-dictionaries, and lexical concordancers) and three types of lexical applications (technology-mediated communication-based applications (TMCA), Anki as an e-flashcard application, and WordUp as a dedicated lexical application) on learning academic core words among a sample of…

Mobile touchscreen applications present new opportunities for children's language learning. This systematic review synthesizes the evidence on the impact of features of mobile applications on children's language learning. Experimental studies published from 2010 onwards with children aged 3 to 11 years old were included. Of the 1,081 studies…

The objectives of this research on Cognitive Technology for Academic Counselling in the New Normal were (1) to design an architecture of cognitive technology for academic counselling in the new normal, (2) to develop a system of cognitive technology for academic counselling in the new normal, (3) to assess the academic performance of students…