Research fields related to learning (e.g., educational technology and learning sciences) have historically focused on what questions using traditional methods (e.g., comparing different learning tools and methods). New methodologies that are grounded in learning, engagement, and motivational theories are needed to additionally address the how…

In the rapidly evolving landscape of educational technologies, Immersive Virtual Reality (iVR) stands out as a transformative tool for teaching and learning. The learner must actively engage, particularly when visual and auditory knowledge information is presented simultaneously. Generative learning strategies support learners in processing and…

E-learning systems have gained nowadays a large student community due to the facility of use and the integration of one-to-one service. Indeed, the personalization of the learning process for every user is needed to increase the student satisfaction and learning efficiency. Nevertheless, the number of students who give up their learning process…

Technology continually changes day-to-day interactions, and emergent bilingual learners often multitask, using several digital tools, at times simultaneously, to communicate and learn. Students may text, post on social media, and listen to music as they complete their work. Studies have examined the affordances of technology for language learning,…

This study employed speech-enabled language translation (SELT) technology in lectures presented in English as a medium of instruction (EMI). Previous research had students viewing pre-recorded lectures with incorporated content translations in controlled laboratory settings. In contrast, students in the present study experienced live lectures in…

There is compelling evidence that arguing with peers in educational contexts fosters students' content knowledge and argumentation skills. Indeed, curricula have already been developed that, through tailored support for peer argumentation, promote both content knowledge and argumentation skills simultaneously. However, we do not yet know how to…

Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…

Studying the factors that affect the e-learning adoption is not a new research topic. Nevertheless, exploring the effect of knowledge acquisition and knowledge sharing on e-learning adoption is a relatively new research trend that has not been featured in the existing literature. Thus, this study was conducted to build a new model by extending the…

The advent of the social web brought with it challenges and opportunities for research on learning and knowledge construction. Using the online-encyclopedia Wikipedia as an example, we discuss several methods that can be applied to analyze the dynamic nature of knowledge-related processes in mass collaboration environments. These methods can help…

This article demonstrates how an adaptive instructional design for a physics module can be realized in a standard learning management system. We implemented a didactic design with physics-specific online exercises that were accompanied by either detailed or non-detailed instructions, depending on the results of the previous task (or a prior…

Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…

Past research has found that preschool children's ability to learn educational content from interactive media may be hindered by needing to learn how to use a new interactive device. However, little research has examined the instructional supports parents provide while their children use interactive media. Forty-six preschool children and their…

We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…

This case study demonstrates the use of interaction analysis techniques to explore students' knowledge building process evidenced in time-stamped logs of a CSCL environment that consists of chat, shared whiteboard, and wiki features. The study was performed in a graduate level course, which covers online assignments that expect students to…

Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…