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…

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…

Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input or prior knowledge. Consequently, some learners struggle to grasp or relate to the feedback,…

This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…

Background: A single-case design focuses on individual performance and measures the causal relationships between variables (Kazdin, 2019). This experimental design enables researchers to measure the learning behaviors of individual participants over time across phases and assess the effectiveness of an instructional strategy in improving or…

Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…

The rapid expansion of digital learning in K-12 education, accelerated by the COVID-19 pandemic and the rise of artificial intelligence (AI), has brought renewed attention to device deployment models, which education systems use to facilitate student access to and use of digital devices. Device deployment models can play a key role in shaping…

A research study on the L2 Motivational Self-systems (L2MSS) and technology acceptance of Foreign Language Learners (EFL) in relation to Language Massive Open Online Courses (LMOOCs) is warranted. In response, 336 Iranian EFL learners participated in three LMOOC platforms, learned language online in line with their language institutes, and…

From the complex dynamic systems theory perspective, evaluating CALL pedagogy involves miscellaneous variables. It seems the ecosystem of the CALL environment necessitates an array of extralinguistic (Ecolinguistically situated) issues to be considered in any appraisal of the CALL milieu. To this end, this paper aims to develop and validate a…

The integration of computer-assisted language learning (CALL) has held increasing interest among the community over the last three decades. One paper which has taken stock of this interest and modelled the factors that impact integration has been written by Hong (2010). While Hong's model has significantly contributed to understanding technology…

Aim/Purpose: This study examines the effects of the mobile-assisted task-based language teaching (M-TBLT) approach on EFL learners' oral production. It evaluates three key second language acquisition measures: complexity (syntactic and lexical), accuracy (error-free clauses and correct verb forms), and fluency (unpruned and pruned speech rates).…