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).…

In this article, we offer theory-grounded narratives of a 4-year participatory design process of a Learning Analytics tool with K-12 educators. We describe how we "design-in-partnership" by leveraging educators' routines, values and cultural representations into the designs of digital dashboards. We make our long-term reasoning visible…

Despite a surge of empirical work on paid Massive Open Online Courses (MOOCs), a review of factors that drive the sales of them remains unexplored. The study aims to consolidate the existing fragmented knowledge by synthesizing the current literature on quality attributes, methodological approaches, theoretical foundations, and additional research…

In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…

Procrastination is a significant problem in academia with some estimates suggesting that this occurs in as high as 70-90% of college students (Abdi Zarrin & Gracia, 2020) that manifests in numerous harmful ways including postponement of weekly reading assignments, delay in writing term papers, and inadequate preparation and beginning too late…

Learners' emotional states might change during the learning process, and unpredictable variations of a person's emotions raise the demand for regular assessment of feelings during learning. In this paper, an AI-based decision framework is proposed and implemented for e-learning systems that identify suitable micro-brake activities based on the…

The use of online education tools has increased rapidly with the transition to distance education caused by the pandemic. The obligation to carry out all activities of face-to-face education online made it very important for the tools used in distance education to meet the increasing needs. In line with these needs, radical changes have occurred…

The expansion of online learning in higher education has both contributed to researchers exploring innovative ways to develop learning environments and created challenges in identifying student interactions with course material. Learning analytics is an emerging field that can identify student interactions and help make data-informed course design…

The context for this paper is the "Synthetic Training Environment Experiential Learning -- Readiness" (STEEL-R) project [1], which aims to estimate individual and team competence using data collected from synthetic, semi-synthetic, and live scenario-based training exercises. In STEEL-R, the "Generalized Intelligent Framework for…

Massive Open Online Courses (MOOCs) can be considered an important tool for professionals to reskill and upskill as well as a cost-efficient way to stay relevant. However, evidence-based research is still needed to identify why specific categories of people, especially professionals, take paid MOOCs. The paper aims to analyze the factors that…

Purpose: The effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess…

It is imperative that pre-service teachers gain digital competency (DC) as a result of their education where e-learning is a central component. In this study, we aimed to describe pre-service teachers' perceived DC and e-learning satisfaction (ELS) levels, to examine how their perceived DC and ELS change in terms of related variables and to…

Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…

Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…

Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…