Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…

With the rise of big data, artificial intelligence, and other emerging information technologies, an increasing number of students without computer science (CS) backgrounds have begun to learn programming. Programming is considered a complex task for beginners, and instructors find it difficult to quickly address all the problems that students…

Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…

Online learning with the characteristics of flexibility and autonomy has become a widespread and popular mode of higher education in which students need to engage in self-regulated learning (SRL) to achieve success. The purpose of this study is to utilize clickstream data to reveal the time management of SRL. This study adopts learning analytics…

Academic emotions of learners are important for academic achievement. For the online learning platform, it is of great value to gain insight into the academic emotion of the course in appropriate time interval from the platform. We crawled a large number of student comment texts from MOOC, and used deep learning algorithms (BERT models) to perform…

This article reports on an empirical study on cognitive processes [i.e. (dis) fluency, temporal management of the translation process, and revision] and their relationship with fluency and adequacy. Based on Jakobsen and Schou's (1999) computational model of human translation, the author utilizes keylogging data retrieved from a Translog-II-based…

The current research aims to address the concern of high attrition rate in MOOCs via exploring factors underlying learners' acceptance of MOOCs. Despite the plethora of studies on technology acceptance, few have discussed the role of time in technology acceptance. Given that time was reported as an important factor influencing learners' decision…

The main aim of this paper is to present results of an experimental test focused on the validity and effectiveness of composed methodology aimed at increasing the student's attention in Virtual Learning Environment. Areas of presented methodology which were subject of our research is students behavior during learning. The behavioral part of…

With the development of education technology, Smart classroom has evolved to version 2.0. Currently, the meta-analysis literature on the effects of smart classroom-based instruction on academic achievement ignores the impact of technological changes and time on the effect sizes. This study incorporated the impact of technological changes and time,…

With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students' independent study…

This study examines the negative effects of social media addiction on the reading habits of second language learners at the University of Nigeria, Nsukka. It is anchored on two theories: the Uses and Gratification theory and the Time Displacement theory. These theories were exploited in assessing the effects of addiction to the use of social media…

Recent years have seen an increase number of studies on spherical video-based virtual reality (SVVR) in education.However, the impact of SVVR on learning performance remains unclear and cannot be simply generalized from traditional VR-based education. The purpose of this study was to examine the overall effects of SVVR on cognitive and…

The study proposes two new measures, time and location entropy, to depict students' physical spatio-temporal contexts when engaged in an online course. As "anytime, anywhere" access has been touted as one of the most attractive features of online learning, the question remains as to the success of students when engaging in online courses…

This study applies a time-driven approach to model self-regulated learning (SRL) on the basis of elapsed time metrics in the context of open-ended learning environments (OELEs), specifically, network-based tutors. In doing so, we examine how students allocated attentional resources to distinct phases of SRL as a measure of depth of information…

With the spread of the coronavirus disease 2019 (COVID-19), online education has been increasingly adopted globally. However, whether the online teaching approach is effective for students' learning engagement and motivation is still an open question. To improve students' learning engagement and motivation to minimize students' indulgent in…