In the literature, little is known regarding the role of students' perceived motivation and perceived fairness of peer feedback for their learning satisfaction, particularly in the context of argumentative essay writing in online learning environments. This study explores the effects of students' perceived motivation and perceived fairness of peer…

This study investigated the effect of different assessment types on overall success in an online geoscience course covering energy's impact on the environment. Two groups took either the slower 1-credit or the faster 3-credit version of the course, which utilized the same content. Self-assessment questions developed using H5P, quizzes, summative…

As lessons were forced to switch to online or hybrid mode during COVID-19, educators need to apply tools to foster engagement inside and outside the classroom. Screencasting software enables teachers to evaluate students' learning outcomes in compensation for the lack of face-to-face interactions. This study investigated the use of…

Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…

One significant challenge in the field of measuring ability is measuring the current ability of a learner while they are learning. Many forms of inference become computationally complex in the presence of time-dependent learner ability, and are not feasible to implement in an online context. In this paper, we demonstrate an approach which can…

In our changing world there are many challenges that students face, one of them being temporary inability to attend face-to-face classes. This paper presents a perspective on how to best meet the needs of online learners, including such topics as course design, student engagement, challenges, and solutions. The information in this article may be…

As colleges and universities push to offer more online offerings, particularly during this current pandemic, concerns about upholding standards of excellence surface. As a result, programs like Quality Matters (QM) have flourished in an attempt to make courses not only easily accessible, but also tied to learning outcomes. This paper takes a look…

Personalized education systems recommend learning contents to students based on their capacity to accelerate their learning. This paper proposes a personalized exercise recommendation system for online self-directed learning. We first improve the performance of knowledge tracing models. Existing deep knowledge tracing models, such as Dynamic…

For adult learners in online courses, writing is the predominant means by which all interaction takes place. As those participating in online education rely heavily on engagement with content, peers, and instructors, special attention should be given to include various activities that promote written communication to foster a positive and engaging…

Deep Reinforcement Learning (DRL) has been shown to be a very powerful technique in recent years on a wide range of applications. Much of the prior DRL work took the "online" learning approach. However, given the challenges of building accurate simulations for modeling student learning, we investigated applying DRL to induce a…

This article explores how 40 first-year students in a compulsory English for Academic Purposes (EAP) course undertook written tasks during a semester suddenly undertaken online. The university in Japan described here provided on-demand lessons via the Learning Management System (LMS) during the first COVID-19 pandemic lockdown. Students prepared…

Behavioral records collected through course assessments, peer assignments, and programming assignments in Massive Open Online Courses (MOOCs) provide multiple views about a student's study style. Study behavior is correlated with whether or not the student can get a certificate or drop out from a course. It is of predominant importance to identify…

To create a satisfying social learning experience, an emerging challenge in educational data mining is to automatically assign students into effective learning teams. In this paper, we utilize discourse data mining as the foundation for an online team-formation procedure. The procedure features a deliberation process prior to team assignment,…

Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…

While CALL research into collaborative writing in the L2 using wikis has mainly focused on the texts written by learners in terms of their grammatical accuracy (e.g. Mak & Coniam, 2008; Lee, 2010), the purpose of the present study is to draw attention to these texts as instances of a given genre. It reports on a small-scale experiment…