Higher education institutions are increasingly moving from traditional education approaches to incorporate online and distance learning (ODL) models, and this represents a substantial educational challenge for many educators. One way to support this challenge is by providing appropriate professional development (PD) for the design of ODL. Based on…

On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…

This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones…

The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…

This paper proposes a distance-based doctoral supervisory model to support students in the process of navigating self, agency, and emotions over their doctoral journey. The model emerged through our examination of the lived experiences of three Chinese female doctoral students who, though enrolled as internal students in our New Zealand…

We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…

Due to the spread of COVID-19 worldwide, a large number of universities had to close their campuses. To maintain teaching and learning during this disruption to the traditional teaching, most universities have adopted online teaching model. The current study aimed at investigating the efficacy of various online teaching modes as well as comparing…

Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…

During attempts to prevent and control the COVID-19 pandemic in China, higher education programs shifted their traditional educational models to online models. This paper aimed to explore how Chinese universities organized online teaching and learning during the pandemic. It investigated the factors affecting the implementation of online teaching…

The objectives of this study were to (1) investigate the efficiency of blended teaching online according to the Super Star Learning Pass model on Basic computer application for Shunde Technical Vocational College, (2) compare students' achievements before and after learning through blended teaching online according to the Super Star Learning Pass…

Teacher online learning is an important way to solve teacher shortage and improve teachers' professional development. However, previous research works that focused on teacher-as-learner satisfaction with online learning were not enough. The aim of this study is to investigate factors that influence teacher satisfaction with online learning. The…

Connectivism, a learning theory that reveals a new learning in the Internet environment, has become a popular academic topic at the forefront of online learning. The MOOC Research Team at the Distance Education Research Centre at Beijing Normal University designed and developed the first massive open online course in China, adapting a connectivist…

The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…

During the COVID-19 pandemic period, a growing number of learning activities are taking place in online contexts. Along with the adversity in the online course of target language learning, student engagement has been considered important to improve learners' academic achievements of the target language. Although there has been a growing interest…

The COVID-19 pandemic has caused an emergent move in all countries across the world. All education institutions were forced to shut down until further notice and were forced to come up with creative solutions to continue with the learning process. Based on existing literature, students and faculty feedback, and interview responses obtained from…