Research on technology-enhanced language learning (TELL) has been rapidly growing since 2000, of which the attention is mostly on the statistically significant positive results. However, learning from TELL with null and negative results (NNR), especially its features and reasons, can develop knowledge and awareness of the nature and limitations of…

Globally, less than 10% of schools are developing uniquely local artificial intelligence (AI) policies and addressing use cases. Policies and guide rails for using AI in education that are in place have rightfully called for us to address the ethical implications and biases that can arise with regard to AI tools and systems. The landscape of what…

In vocational education, cultivating students' ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is…

Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…

The model of the HyFlex Learning Ecosystem is with social emotional learning to enhance digital emotional intelligence. The concept is based on the integration of digital learning ecosystems. HyFlex Learning and social emotional learning this research has the objective (1) To study and synthesize the conceptual framework of The HyFlex Learning…

Digital literacy is a 21st century requirement and its importance is increasing day by day. In this article, it was aimed to evaluate the development of digital literacy skills of mathematics teachers and prospective teachers through Technology Assisted Education (TAE). In addition, the opinions of the teachers about the training were also…

Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…

The use of chatbots in language learning has been on the rise. In recent Computer-Assisted Language Learning (CALL) research, there is a consensus that rule-based, scripted voice systems are optimal for language learning. Such systems integrate well into instructed language learning in that interactions with the user are predictable and…

This study aims to determine the effectiveness of GeoGebra-assisted learning on students' mathematical representation through a meta-analysis study and possible moderator variables to moderate it. Experimental studies were obtained from Google Scholar and ERIC databases and then included in this meta-analysis study were 23 studies that met the…

This systematic review investigates learner use of audio/video playback (AVP) controls in technology-enhanced listening environments. To this aim, 61 academic works produced from 2000-2021 underwent inclusion/exclusion criteria and were analyzed. The resulting corpus was made up of 16 peer-reviewed articles. We first situate the studies examined…

In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…

This study aims to identify teachers' selection/adoption of valuing pedagogy (VP) to implement an affect-focused mathematics teaching design with technological support. Valuing pedagogy is defined as teaching methods to address educational values and operationally defined as perceived, implemented, and received curricula, manifested by teacher…

This article presents a controlled case study focused on implementing and using generative artificial intelligence, specifically large language models (LLMs), in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into…

Online teaching during the COVID-19 pandemic compelled many instructors to seek efficient and effective ways to stay connected with their students and improve the learning experience by using a wide range of available technologies. This multiple-case study, in three South-East Asian universities, investigated whether the use of technology in…

Purpose: Students' perception towards learning technologies in the disruptive times like coronavirus disease (2019) COVID-19 is what the educational institutes are striving to know so that the educational institutes could provide the best learning experiences to students. The present study attempts to identify the technology-enhanced learning…