Examining how people learn in various learning environments is at the core of the science of learning. The more we understand how students learn from different dimensions and aspects, the better equipped we are to support their learning. This study aims to expand our understanding of how learning occurs within the context of an asynchronous online…

Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…

Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…

In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…

On-line learning has been adopted as a major educational technique and method due to the COVID-19 pandemic. Even though COVID-19 led to many problems such as faculty's burden and stress during the early stage of COVID-19, both students and faculties have gradually become familiar with on-line educational environment. The high technology…

This paper sheds light on the impact of the digital platforms' enhancement and usage of latest synchronous and asynchronous teaching-learning platforms through a global virtual project involving business schools across five countries. The study focuses on how technology involved in the learning-teaching process at different business schools has…

For various reasons, students receive less formative feedback at post-secondary institutions compared to secondary school. Considering feedback as one of the most important influencing factors on learning processes, formative feedback is a promising approach to improving students' performances. In this context, new technologies, such as learning…

Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…

Feedback is essential in learning. The emerging concept of feedback literacy underscores the skills students require for effective use of feedback. This highlights students' responsibilities in the feedback process. Yet, there is currently a lack of mechanisms to understand how students make sense of feedback and whether they act on it. This gap…

For researchers seeking to improve education, a common goal is to identify teaching practices that have causal benefits in classroom settings. To test whether an instructional practice exerts a causal influence on an outcome measure, the most straightforward and compelling method is to conduct an experiment. While experimentation is common in…

An emerging body of scholarship on digital platforms in education has offered critical insights into the influence of platform technologies within traditional school contexts. This study, however, examines platforms' broader cultural impact on teacher identity and the thinking teachers do around school(ing) writ large (i.e., the ways platforms…

Learning must be able to develop knowledge, skills, and mindsets so that the graduates produced have attitudes, abilities and knowledge that are integrated and skilled in life. One way to achieve learning can be done through habits of mind because the success of learning is strongly influenced by habits of mind. The purpose of this study is to as…

We design a generative adversarial network (GAN)-based pencil drawing learning system for art education on large image datasets to help students study how to draw pencil drawings for images and scenes. The system generates a pencil drawing result for a natural image based on GAN. The GAN network is trained on pencil drawing big datasets containing…

Extensive Reading (ER) is widely recognized as an effective method for improving language proficiency and fostering reading motivation in English as a foreign language contexts. However, the success of ER programs depends on several factors, including student motivation, engagement, and preferences for book selection. This study examines the…

Driven by the increased availability of Learning Management System data, this study explored its value and sought understanding of student behaviour through the information contained in activity level log data. Specifically, this study examined analytics data to understand students' engagement with online videos. Learning analytics data from the…