Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…

Drawing on network behavior literature, this research examines how business students' extra-classroom social network behavior for learning with peers (i.e., horizontal network behavior) and with the instructor (i.e., vertical network behavior) influences their learning, which in turn affects their grade performance. It also investigates the…

Researchers and practitioners from different disciplines (e.g., educational science, computer science, statistics) continuously enter the rapidly developing research field of learning analytics (LA) and bring along different perspectives and experiences in research design and methodology. Scientific communities share common problems, concepts,…

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…

Background: There is a growing emphasis on integrating engineering design into K-12 science, technology, engineering, and mathematics (STEM) education. Prior studies have primarily examined the impact of engineering design on student learning outcomes or employed frequency-based static statistical analyses, rather than focusing on student learning…

Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework…

This research aimed to explore (1) the characteristics and patterns of student interactions on online discussion boards throughout a course using social network analysis (SNA) and (2) the mediating effect of social presence, as the underlying mechanism, on the relationship between these interactions and students' learning outcomes. Eighty-four…

This dissertation examines the interaction patterns that happen in an online learning environment. While many studies look at online learning through the lens of the learner or the learning environment, few studies look at the interaction patterns that happen through the digital traces captured by computational tools. Based on the conceptual…

This paper proposes a multilayered methodology for analyzing distance learning students' data to gain insight into the learning progress of the student subjects both in an individual basis and as members of a learning community during the course taking process. The communication aspect is of high importance in educational research. Additionally,…

Little is known about the university-based professionals who facilitate research impact and the networks they form to build institutional capacity. This article explores the efforts of Research Impact Canada, a pan-Canadian professional network dedicated to building institutional capacity for research impact across disciplines. Based on interviews…

The dynamics of mastering the degrees of freedom in motor learning are still far from being understood. The present work explored coordination dynamics in a redundant task, relating it to performance and adaptation in a serial stimulus tracking task. One hundred and sixty-three children (10-14 years of age) continuously responded to sequential…

This research aims to examine the extent to which the way entrepreneurs learn is reflected in entrepreneurship education, highlighting the existing gap between the literature on entrepreneurial learning and the practice of entrepreneurship education. To explore entrepreneurial learning in-depth, we adopted an interpretivist-constructivist approach…

This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…

Although learner interactions in forums are well-documented, research on instructor engagement strategies in MOOC forums and their impact on forum dynamics is limited. This study offers a distinctive approach by categorizing instructor strategies into four types: communicative, integrative, task-oriented, and non-interventionist. Six prominent…

Introduction: The science, technology, engineering, arts and mathematics (STEAM) approach is currently representing a new teaching and learning process, trying to make an interconnection between these disciplines and their transversalization with the arts to potentiate the thematic scope in students and create new pedagogical and didactic…