Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…

Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing…

The use of digital teaching materials is increasing in mathematics teaching. The dynamic resources of these materials have great potential, for example to adapt the content to different teaching methods and different students. These materials also provide new opportunities for the increasing distance learning. However, in order to take advantage…

Background: Communities of practice (CoP) have been proposed as a promising form of continuing professional development for teachers' learning. However, there remains limited understanding of the processes and factors that sustain teacher-initiated CoP. Purpose: This study provides a qualitative examination of a group of internal leaders'…

This squib continues the ongoing conversation put forward by Wise and Schwarz around the direction and future of CSCL. We focus here on the question of whether or not CSCL should seek to make educational change. Here, we take the affirmative position by conceptualizing the network of design-centric research practice partnerships. We illustrate how…

Contribution: A 3-D interactive learning environment, from which students of different levels in the control engineering background can benefit regarding classroom demonstration and online experimentation, is present. The findings support that students can benefit from the application of the online laboratory. Background: Control system design is…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

Multimedia pedagogical agents are on-screen characters that allow users to navigate or learn in multimedia environments. Several agents' characteristics may moderate their instructional effectiveness, including appearance, gender, nonverbal communication, motion, and voice. Here, we conducted a meta-analysis to test hypotheses from diverse…

This exploratory research documents the use of the web conference technology WebEx™ to expand the variety of focus group data collection methods. Drawn from four synchronous online focus groups with older adults from across Canada, who create and use online personal learning networks to enhance and support their informal self-directed learning…

Artificial intelligence (AI) for supporting second language (L2) writing processes and practices has garnered increasing interest in recent years, establishing AI-mediated L2 writing as a new norm for many multilingual classrooms. As such, the emergence of AI-mediated technologies has challenged L2 writing instructors and their philosophies…

In this article, Montgomery College discusses the adoption of H5P, a free and open-source content collaboration framework based on JavaScript that was used in substitute paid practice opportunities for students in Spanish 101 and 102. Utilizing a participatory action research model, three faculty and 47 students collaborated to inform the design,…

Investigating disengagement is a continuing concern within computer-based learning environments. Drawing upon several strands of research into preservice teacher learning with network-based tutors, this paper outlines an object orientation to conceptualize a type of disengaged behaviour referred to as carelessness. We further differentiate this…

Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…

How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on 'subjectification' i.e. 'the coming into presence of unique individual beings'? (Good Education in an Age of Measurement: Ethics, Politics, Democracy. Routledge) Our response to these challenges and the datafication of higher…

Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…