Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…

This paper proposes a governance model framework for online learning marketplaces in Indonesia. This research uses a case study approach to explore a model that is adequate and suitable to be applied in the context of the Indonesia Cyber Education Institute, which was initiated by Universitas Terbuka, Indonesia. The proposed model was prepared…

This work sets out the results of a teaching innovation project applying the flipped classroom model in the Knowledge of Mathematics module on a bachelor's degree in primary education over two consecutive years at a university that exclusively uses online teaching. This model is used with the aim of stimulating the students' working methods and…

During the COVID-19 pandemic, there was an increase in the use of online courses, which required improvements in their effectiveness. To address this, the online flipped model was suggested as a solution, and this study aimed to assess the efficacy of using interactive instructional videos within an online flipped course design. The study employed…

Digital transformation in higher education, especially after COVID-19, is seen as inevitable. This research explores digital transformation's maturity and challenges within the education enterprise. The significance of this study stems from the critical role digital transformation and higher education play in today's digital economy, and digital…

Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…

This publication is the new edition of EDC's popular 2011 guide by the same name, completely revised to include lessons learned over the last decade, including the massive move to online learning during the COVID-19 global pandemic. Drawing on data from 188 countries and nearly 700 publications, this comprehensive guide explores distance education…

This report presents the activity systems analysis of the general MOOC design process adopted by a multidisciplinary team for delivering edX courses to Latin America and the Caribbean (LAC). This report builds on Freire's (2020) exploratory case study [EJ1275469], which applied work-based learning theory and activity systems theory to determine…

Massive open online courses (MOOCs) have attracted much interest from educational researchers and practitioners around the world. There has been an increase in empirical studies about MOOCs in recent years, most of which used questionnaire surveys and quantitative methods to collect and analyze data. This study explored the research topics and…

It is uncontested that education systems globally are under constant pressure to respond to the changing needs of societies. The outbreak of COVID-19 has reminded us that the complexity of education needs responsive practices to facilitate effective teaching and learning across all levels of schooling globally. All over the world, the normative…

The popularity and use of online learning are continuing to grow. Faculty members must be available to teach online courses for institutions to offer online education. However, some instructors do not consider online learning a viable substitute for face-to-face instruction. This qualitative interpretive phenomenological study was conducted to…

This paper is about the evaluation of a technology integrated writing course at the English Language Teaching Faculty of a private non-profit foundation university in Turkey. The course has been evaluated by using CIPP Model (Stufflebeam, Daniel L., 2003). The evaluator of the programme has conducted a programme by using the 5E Model (BSCS, 1987)…

The aim of this article is to theoretically and practically justify the development of a future social pedagogue's research capacity in the context of digital technologies. Practical implementation of a model for building social pedagogues' research capacity within the framework of an online educational course can provide effective training of…

A number of quality theories have been utilized to provide a framework or background for studies of online learning and instruction. While many of these theories have been useful, several have been modified as new technologies have been invented and adopted in schools. This paper examines some of the most prominent theories of online learning and…