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…

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…

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…

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…

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…

Given the extensive use of online learning in educational settings, Knowledge Tracing (KT) is becoming increasingly essential. KT primarily aims to predict a student's future knowledge acquisition based on their past learning activities, thus enhancing the efficiency of student learning. However, the effective acquisition of dynamic and evolving…

In the context of massive open online courses (MOOCs), searching and retrieving information can be challenging because there is a huge amount of unstructured content, which creates a problem and makes it difficult for users to quickly find relevant lessons or resources. As a result, learners and teachers face significant barriers to accessing the…

Recommendations for achieving generalized instructional outcomes often overlook the capacity for generative learning for most verbally competent humans. Four children (ages 5-8) participated in this project. In Study 1, we provided decontextualized discrete trial teaching to establish arbitrary relations between colors, pictures of characters, and…

In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…

In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…

This essay serves as a personal narrative to share experiences and lessons learned in using a sabbatical to form international collaborations for SoTL research. I share my motivations for seeking an international collaboration, explore my predicted and realized benefits, and address challenges encountered including time constraints and…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

Effective elementary principals enact "leadership for literacy" to support high quality literacy instruction. Yet not all elementary principals possess strong literacy knowledge. This study examines how principals with different professional backgrounds learn about and enact leadership for literacy and how the embedded systems of…

Grounded in our work on analysing teacher learning communities as they evolve from traditional learning epistemologies towards constructivist orientations and progressive, inquiry-driven pedagogies (Hung et al., J Interactive Learn Res 17:37-55, 2006; Hung et al., Educ Technol 55:20-26, 2015; Shaari et al., in press; Wu and Hung, Transforming…

The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…