Understanding part-whole relations is crucial in early mathematics education. However, both analogue and digital learning environments often lack systematic approaches to foster part-whole understanding. With the rising popularity of educational apps, it is essential to evaluate how they implement learning of part-whole relations. Accordingly,…

As the debate and discussions are rapidly growing about the implementation of Artificial Intelligence (AI) in higher education institutions (HEIs) as well as in other sectors, we have gone through a systematic review and research of the topics and progress of AI at the present time. We have surveyed much literature and prepared a research review…

Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…

It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…

AI technology, which is becoming more widespread day by day, also affects education and training processes. The use of AI tools in educational environments provides many benefits to teachers and students. However, the use of AI in education also raises some ethical concerns. The aim of this study was to reveal the ethical issues arising from the…

Introduction: The proliferation and accessibility of generative artificial intelligence (AI) have led to strong reactions across the academia. Statement of the Problem: Teachers can adapt to the availability of AI by integrating disclosure statements about its use into courses, which may promote student learning. Literature Review: Suggestions to…

Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…

Numerous studies have explored the intricacies of artificial intelligence (AI) in higher education, predominantly focusing on developed countries. However, there is a notable gap in examining the hindrances and untapped potential of AI implementation in the higher education sector within the South Asian Global South countries. This study aims to…

This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…

This article provides a critical thematic literature review that explores the intersection of generative artificial intelligence (GenAI) and social-emotional learning (SEL), analyzing its implications for teacher education. GenAI offers promising applications for enhancing SEL competencies such as self-awareness, empathy, and social skills through…

The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…

In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…

In the wake of the COVID-19 pandemic, which hastened the digitalization of education, the imperative to harness Artificial Intelligence (AI)'s potential has never been more pressing. While studies abound on the broader impact of technology in education, there remains a conspicuous gap in understanding its specific implications for African…

This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…

This research study investigates the effectiveness of a pedagogical model (an interventional framework) of contextualised instruction through Reverso Context, a comprehensive language and translation tool, in developing the translation skills of senior EFL student teachers. The study employs a quasi-experimental one-group pre-post design, with a…