This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…

MOOC platforms provide a means of communication through forums, allowing learners to express their difficulties and challenges while studying various courses. Within these forums, some posts require urgent attention from instructors. Failing to respond promptly to these posts can contribute to higher dropout rates and lower course completion…

Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

Prior research on the "Community of Inquiry" (CoI) framework has a limited amount of work which uses structural techniques to confirm the factorial structure of the CoI. The current study investigates the structural relationships among the three elements of the CoI framework (cognitive presence, teaching presence, and social presence),…

This research addresses the pressing need for innovative educational frameworks that foster creativity and innovation in online learning environments. The study develops and validates a comprehensive model integrating STEAM education, micro-learning principles, and augmented reality (AR) technology within massive open online courses (MOOCs).…

Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…

This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…

The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…

This research aims to develop an online Project-Based Collaborative Learning (PBL) model design by utilizing an asynchronous Online Discussion Forum (ODF) that can systematically direct teachers or lecturers as facilitators in learning, and how experts think about the design. Using the Research and Development (R&D) method, this design was…

Based on the instructional interaction principles outlined by Chen and Wang (2016) in third-generation distance learning, this study employs a recursive logical perspective on the evolution of the theory of interaction in distance education. It constructs a structural equation model to measure the mediating utility path of the learner's proactive…

The focus of education is increasingly on learners' ability to regulate their own learning within technology-enhanced learning environments. Prior research has shown that self-regulated learning (SRL) leads to better learning performance. However, many learners struggle to productively self-regulate their learning, as they typically need to…

This article describes the inclusion of a novel online student-centered resource--a Virtual Executive in Residence (VER)--who was embedded within four graduate online asynchronous courses across three semesters. Pre- and post-qualitative student perceptions from two consecutive semesters (across 48 students) were initially used to explain the…

Since the COVID-19 pandemic struck, schools across the world closed, either periodically or over a considerable time. The OECD reports that during this period, globally, over 1.2 billion children were out of the classroom. As a result, schools moved part or all of their curriculum online, teaching remotely via digital platforms. Evidence suggests…

The present research looks at the reputation of digital platforms in online pedagogical English education in Pakistan, and the use of digital technology in virtual classrooms during public health emergencies. It explores how faculty members use digital technology in their pedagogical English teaching approaches by analysing their technological…

Millions of students experienced increased levels of stress and worries about their college pursuits as they were forced to abrupt pivot to online and hybrid learning due to the global pandemic. Drawing from the theory of human needs, this study examined the extent to which COVID-19 influenced the relationship between financial well-being, needs…