Background: Amidst the increasing application of online education in the post-COVID era, new challenges in student engagement have emerged. However, most studies on online engagement have adopted macro-level approaches and relied on self-report measures of retrospective engagement. Few have examined micro-level engagement in terms of real-time and…

Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered…

The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift…

Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…

This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…

Reading comprehension is a widely adopted method for learning English, involving reading articles and answering related questions. However, the reading comprehension training typically focuses on the skill level required for a standardized learning stage, without considering the impact of individual differences in linguistic competence. This…

Mobile Instant Messaging (MIM) applications have come into focus as potential tools to improve English language instruction, and teachers can engage more students from different backgrounds in English as a Foreign Language (EFL) classes thanks to MIM apps' distinctive features, like WhatsApp. Most of the reported studies on the use of WhatsApp in…

Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS' page indexing and hyperspace rely mostly on navigation supports which provide the learners with a user-friendly interactive learning environment. Such AEHS features provide the systems…

In this paper we propose i-SERF (integrated-Self Evaluated and Regulated Framework) an integrated self-evaluated and regulated framework, which facilitates synchronous and asynchronous education, focusing on teaching and learning in higher education. The i-SERF framework is a two-layered framework that takes into account various elements of…

College students learn differently than their professors. This disconnect between learning styles is not a new problem, however the problem has been magnified by the technology driven environment which exists in contemporary higher education. Students who grew up using computers and Playstations while surfing MySpace blogs and listening to their…