The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…

This paper reports on the perceptions of university teachers of two consecutive disruptions: moving to a new learning management system that was immediately followed by the COVID-19 pandemic. The purpose of this research was to understand the role of planned and unplanned disruptions in facilitating or hindering the transformation of teaching…

Statistics anxiety is a significant problem for students' learning experience in the psychological sciences. This article explores a novel teaching methodological approach during the global pandemic to improve students' performance by reducing their statistics anxiety. The subject design and teaching methodological approach were developed based on…

This study is presented in two sections. A total of 436 students from five different colleges under the Royal University of Bhutan participated in this study. The first part involved validating the E-Learning Acceptance Measure (ELAM) proposed by Teo (2010) for its applicability in the context of the study by using Confirmatory Factor Analysis…

Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…

Online and distance learning technology with the learning management system (LMS) is an example of the application of online learning models at universities, which is the impact of technological developments. However, advances in LMS technology still need to be implemented in universities, the problem of university readiness being the main factor.…

Background: Gamification has been used in recent years to enhance the student experience in educational environments and to help students achieve an optimal experience. However, there is limited empirical evidence of the effects of gamification on specific psychological experiences, such as the students' flow experience, which is a highly…

Background/purpose: This study addresses the problem of demotivation generated by traditional assessment methods, which are often standardized, unengaging, and ill-suited to individual differences. In an increasingly digitized educational context, the primary objective is to assess the ability of an adaptive assessment system, developed on the…

Learning management systems occupy an almost ubiquitous position in higher education today and may be leveraged to streamline and standardise course delivery. Despite the potential for multiple enrolment, centralised courses to offer efficiency and consistency in institutions, there is a lack of research investigating the relationship between…

The objectives of this work are to investigate the impact of automating the student assessment process using the Schoology web-based learning management system as an example and determine its effectiveness and usability by performing a comparative analysis between the survey results of educators and students. The research methodology is based on…

This study aims to determine the factors influencing the efficient and successful use of LMS among university-level students. A multiperspective approach was performed using TAM3 and ISS framework to achieve the aforementioned aim. The survey was administered to 371 university students. Structural equation modeling (SEM) has been conducted to test…

Learning affective state is determinate to online learning. Different affective states are associated with different online learning behaviors. Given the behavioral indicators of different affective states are still to be explored, this study constructed a data-driven online learning affective state detector by analyzing the learning log data of…

Collaboration and teamwork are concepts routinely attributed to organizational success and successful change management. Yet often the details of these collaborative experiences are limited to participants in the team involved. In this case study we highlight how a learning experience architect, as part of an organizational working group, could…

The use of autoclitics can influence the behavior of individuals making choices when responding to a survey (e.g., checking or unchecking a box). In two studies, we investigated the effects of autoclitics as "nudges" on choice by manipulating different frames (opt-in and opt-out) and default options (i.e., unchecked and checked boxes).…

This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…