Recent advancements in internet technologies and open and distance education have led to increased research on instructional video. The current study reveals the influential aspects of instructional videos, emerging trends, and critical factors. This study analyzed 221 peer-reviewed articles published until the end of 2022 to provide an overview…

Background/purpose: In a global context marked by accelerating digital transformation, higher education institutions are encountering significant challenges in integrating online learning tools. Although educational technologies are increasingly recognized as catalysts for pedagogical innovation, their effective adoption remains constrained by…

With the rapid evolution of online learning, driven by technological advancements and the global transition to distance education during the COVID-19 pandemic, the demand for effective instructional design models has become increasingly critical. This study conducted a systematic mapping analysis of instructional design models tailored for online…

In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…

This study reports a systematic review and meta-analyses of the construct social presence in online higher education settings. The research objectives are to: 1) determine the overall impact of scale-based measures of social presence on student learning outcomes, and 2) determine the overall impact of scale-based measures of social presence on…

In recent years, there has been a renewed focus on temporality in education policy and governance. This article aims to contribute to this growing body of literature by examining a recent digital education policy initiative in Flanders (Belgium) called 'Digisprong'. Arguing that time, in relation to space, in education policy is relationally…

Self-directed learning (SDL) has become essential in promoting autonomy and critical thinking within mathematics education. Given the increasing emphasis on SDL, a bibliometric analysis is necessary to map the field's development, key themes, and influential contributions. This study utilizes Scopus data from 1981 to 2024, encompassing 32…

The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…

A critical analysis of the benefits and challenges of adopting a hybrid approach to conducting qualitative research in schools with children as co-researchers is presented. The study involved 18 children (10-11-years), working as co-researchers in pairs to interview each other with a goal of understanding their experiences online, particularly in…

E-schools, marked by their digital and interactive settings, offer synchronous and asynchronous learning, transcending traditional educational confines. Highlighted during the COVID-19 pandemic, these schools emphasize flexibility and accessibility, crucial for education during crises. The expected post-pandemic growth of e-learning stresses…

COVID-19 led to an increase in online higher education courses. With this increase in demand, there needs to be online support to foster students' academic success. Online academic student support is often provided to students to assist them in developing the skills and knowledge to successfully complete their courses. However, it remains unclear…

Although the fields of educational data mining and learning analytics have grown significantly in terms of analytical sophistication and the breadth of applications, the impact on theory-building has been limited. To move these fields forward, studies should not only be driven by learning theories, but should also use analytics to in form and…

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…

Aim/Purpose: The research aims to uncover the key research themes and trends of Social Media-Enhanced Blended Learning (SMBL) research. It will extract valuable insights from scholarly publications using bibliometric analysis. Background: Although previous scholarly works and bibliometric review papers have examined integrating social media into…

Understanding experiences in online educational settings is crucial to improving teaching and learning. The purpose of this paper is to describe "Narrative Inquiry" as a research methodology that has the potential create the relational opportunities necessary to understand experiences in online learning environments. In this article, I…