Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that…

Multimodal learning analytics (MMLA) research has made significant progress in modelling collaboration quality for the purpose of understanding collaboration behaviour and building automated collaboration estimation models. Deploying these automated models in authentic classroom scenarios, however, remains a challenge. This paper presents findings…

Many approaches to teaching Newman projections and conformational manipulation rely on lecturing using only two-dimensional representations. While molecular models are recognized as useful learning tools, students are often left to figure out how to use them during the initial learning process. The availability of basic online molecular models…

This paper explores how parents' COVID-19 safety concerns relate to school governance models (SGMs), instructional modes (i.e. in-person, hybrid, online), and perceptions of school quality during the pandemic. Leveraging two waves of household survey data across 47 states and the District of Columbia, we first conduct a series of multinomial…

Purpose: This study examined the learning experiences of speech-language pathology students after creating three-dimensional (3D) anatomical models as part of an undergraduate Anatomy and Physiology course. Method: A total of 44 undergraduate students used 3D software programs to design anatomical components (e.g., larynx, brainstem, brain cortex,…

Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…

It is important to be able to make better informed decisions about issues such as sustainability and climate change that have both personal and global impact as early as possible in life. Primary teachers have a significant role in supporting students' learning and understanding of these concepts. One important teaching skill that needs to be…

From a theoretical perspective, most discussions of statistical learning (SL) have focused on the possible "statistical" properties that are the object of learning. Much less attention has been given to defining what "learning" is in the context of "statistical learning." One major difficulty is that SL research has…

There is increasing recognition of the multimodal representational nature of science discovery practices and the roles of multiple and multimodal representations in students' meaning making in science (Lemke, 1998; Tytler, Prain, Hubber, & Waldrip, 2013; Tang, "International Journal of Science Education," 38(13), 2069-2095, 2016).…

Educational research has shown the importance of adopting a multimodal approach to pedagogy by combining, integrating, and organizing diverse semiotic resources for learning. As aesthetic content and forms are significant aspects of multimodality, arts integration is crucial to achieve multimodal knowledge practices. In this paper, we develop a…

This paper examines the roles of multimodality and thematic patterns in the teaching of the particle model of matter. Although the particle model is a fundamental topic in science education, there is no consensus on (1) whether or not the model should be introduced in early grades and (2) how to introduce the model to students for the very first…

The family of cognitive models sometimes referred to as the "Learning Pyramid" enjoys a considerable level of authority within several areas of educational studies, despite that nobody knows how they originated or whether they were supported by any empirical evidence. This article investigates the early history of these models. Through…

Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…

With the rapid emergence of K-12 online learning platforms, a new era of education has been opened up. It is crucial to have a dropout warning framework to preemptively identify K-12 students who are at risk of dropping out of the online courses. Prior researchers have focused on predicting dropout in Massive Open Online Courses (MOOCs), which…

Purpose: The researcher emphasised with current research the need for an induction programme for beginning teachers in the South African context to overcome the challenges experienced by beginning teachers while bridging from pre-service teaching to in-service teaching and to introduce and illuminate the design of a new multimodal induction model.…