With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…

Forming learners' science concepts and conceptual change entails adaptive epistemic beliefs to support a high degree of interactivity within a coherent knowledge structure. Adaptive epistemic beliefs are characterized by beliefs that knowledge is uncertain and should be justified through experimentation or multiple sources dependent upon the task…

Modern technology is necessary and important for improving the quality of education. While machine learning algorithms to support students remain limited. Thus, it is necessary to inspire educational scholars and educational technologists. This research therefore has three main targets: to educate the holistic context of rural education…

This article queries how learning analytics systems can support content-specific group formation to develop students' thinking about a specific mathematical concept. Automated group formation requires identifying personal characteristics, designing tasks to probe students' perceptions, and grouping them to increase individual learning chances.…

Online education helped resume learning that had come to a momentary and uncertain pause with the onset of COVID-19 pandemic across the globe. Since then, learning in many educational institutions continued through synchronous and asynchronous modes, with teaching being undertaken remotely on digital platforms. In this large-scale migration…

To determine the impact of cognitive style on change of concept of engagement in the flipped classroom, a sequential analysis from the perspective of Bloom's Taxonomy was conducted to establish if significant differences existed between the learning achievements and engagement of students with different cognitive styles. The participants were…

In this article, we leverage data from over 1,000 students participating in two different online courses to investigate whether better learning outcomes are associated with student decisions to practice instead of (re-)reading. Consistent with laboratory and classroom findings, we find that students' decisions to practice are related to better…

This paper describes the effects of a pairing method based on digital textbook logs and learners' artifacts in conceptual modeling exercises. The authors developed a digital textbook system called Smart E-Textbook Application (SEA) and a conceptual modeling tool called KIfU 3.0 to collect conceptual modeling activity logs in exercises. This study…

One of the best-known and most frequently used measures of creative idea generation is the Torrance Test of Creative Thinking (TTCT). The TTCT Verbal, assessing verbal ideation, contains two forms created to be used interchangeably by researchers and practitioners. However, the parallel forms reliability of the two versions of the TTCT Verbal has…

Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields, encouraging research based applications of modern Data Science methods. Among many other…

Learning analytics aims at helping the students to attain their learning goals. The predictions in learning analytics are made to enhance the effectiveness of educational interferences. This study predicts student engagement at an early phase of a Virtual Learning Environment (VLE) course by analyzing data collected from consecutive years. The…

Libraries hold large amounts of data, which can contribute to improvements in the quality of library services. Data resources of modern library have the characteristics of big-data, where library can use big-data methods to achieve reform and innovation, including resource transferring, resource utilisation, social identity, thinking innovation.…

To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…

This work focuses on simulation, design, development, and evaluation of a visual Learning Analytics (LA) tool -- Real-time Educational AI-powered Classroom Tool (REACT) -- to support educators' data-driven decision-making. The educational institutions face one of the biggest challenges, such as predicting student performance, detecting undesirable…

The dropout of students is one of the major obstacles that ruin the improvement of higher education quality. To facilitate the study of students' dropout in Moroccan universities, this paper aims to establish a clustering approach model based on machine learning algorithms to determine Moroccan universities categories. Our objective in this…