Background: Research into enhancing the effectiveness of information delivery in asynchronous video lectures remains sparse. This study analyzes the nonverbal teaching behaviours in asynchronous online videos, drawing comparisons between pre-service and in-service teachers (ITs). Objectives: This research primarily aims to juxtapose the nonverbal…

The application of artificial intelligence in physical education (AIPE) has provided new ways to improve learning and teaching activities in physical classes. However, literature reviews that provide a systematic review and analysis of AIPE are limited. To address this gap, this study provided an overview of AIPE-related empirical research.…

Background and context: Researchers have been investigating ways to demystify machine learning for students from kindergarten to twelfth grade (K-12) levels. As little evidence can be found in the literature, there is a need for additional research to understand and facilitate the learning experience of children while also considering the African…

Artificial intelligence (AI) in higher education is a complex issue that can be discussed from many different perspectives. There is currently a great need for ethical discussions about the use of AI in universities. For example, educational researchers and teachers are already talking a lot about fairness, accountability, transparency, bias,…

Mobile learning (M-learning), ChatGPT and social media are integral to university education, improving accessibility, personalization and interactive engagement in the learning process. This paper aimed to investigate the role of M-learning, ChatGPT and social media in university students' academic performance. It was a cross-sectional…

This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…

This article reports on findings from a social design-based study conducted with an intergenerational group of youth, educators and researchers participating in the Learning to Transform (LiTT) Gaming Lab. We advance the notion of AlgoRitmo Literacies, to highlight the ingenuity of youth and educators as they used a tool called Character AI to…

Recent developments in technology have contributed to the reshaping of the practice of foreign language education. Among those, even though generative artificial intelligence (GENAI) is not a recently emerged technology, it has started to become prominent in the field of foreign language teaching. Therefore, it is possible to observe GENAI tools…

This qualitative study interviewed twelve (n=12) instructional design and learning technology leaders from the K12, higher education, nonprofit, and corporate sectors to identify trends and challenges that were impacting their work and the work of their teams. Results included technology trends (e.g., artificial intelligence, augmented and virtual…

English has long been regarded as the universal language. Countries that were earlier reluctant to learn English have also changed their stand due to its global reach. The nonnative English speaker's proficiency largely depends on the College English Teaching (CET) and its evaluation methods. Traditional teaching evaluation models failed to…

The use of automated writing evaluation (AWE) in second language (L2) writing contexts has increased dramatically, as evidenced by the large body of research published on the topic over the past decade. Considering this, several systematic reviews on AWE have been published. Nevertheless, none of these review studies has exclusively focused on the…

This bibliometric analysis offers a comprehensive examination of AIbased feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state…

Contributions: To address the interpretability issues in artificial intelligence (AI)-powered classroom discourse models, we employ explainable AI methods to unpack classroom discourse analysis from deep learning-based models and evaluate the effects of model explanations on STEM teachers. Background: Deep learning techniques have been used to…

In this study, we aim to investigate the potential advantages of integrating the new generative artificial intelligence (AI) technology, ChatGPT, into higher education, specifically within the field of medical education. The focus is on exploring ChatGPT's applications in personalized learning, assessment, and content creation while also…

This paper presents the results of a systematic literature review concerning the actual and future uses of chatbots (artificial conversation agents) in youth bullying cases. The study found that while artificial intelligence is highly regarded as an interesting tool by researchers, the technology is not yet good enough to intervene in crisis…