Purpose: This study examines undergraduates' perceptions of the effectiveness of two metacognitive monitoring strategies, active comprehension monitoring (ACM) and audible elaborative rehearsal (AER), for gaining specialized vocabulary and concept (SVC) knowledge in communication sciences and disorders. Method: The participants were 64…

The rise of technological advancements and the pandemic have made distance education increasingly prevalent, demanding high levels of self-regulation. This research addresses the integration of three core developmental regulation models of lifespan development and the motivators proposed by self-determination theory. Although regulation models are…

Massive Open Online Courses (MOOCs) have become one of the highly accepted sources of online teaching and learning these days. Even though MOOCs have gotten wider popularity, its efficacy in teaching and learning is an ongoing topic of discussion. The narrative review in this paper provided the detailed insights of the effectiveness and the…

Research on engineering practice and its relationship with engineering education is getting increased attention in the engineering education literature recently. In this article, we present a study of engineering practice in an electrical power utility company that focused specifically on the learning practices of professional engineers. Through…

According to employers, college graduates should possess interpersonal skills including the ability to work in and lead teams. Many instructors incorporate group projects in their courses to encourage student development of teamwork and leadership skills through experience. Research suggests, however, these skills must be taught explicitly. To…

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…

While learning involves the acquisition of skills and the development of repertoires, some educators harbor even more profound learning goals, seeking to enable learning that is transformative. Theorizing about transformative learning posits that it is precipitated by a disorienting dilemma. Disorienting dilemmas may be thought of as times when…

Since the end of the 20th century, autonomous learning has become a popular research topic in education and has received much attention from researchers. The acquisition of Chinese as a second language requires learners to practice autonomous learning and develop their language learning ability. The present study used the theory of autonomous…

Amid a long period of deskilling in art school curricula, craft has been denigrated as inferior to art and confining for artists, but can craft liberate imagination? The purpose of this study was to understand the relationship between an adult learner's self-perceived capacity for imaginative expression in representational drawing and the…

'Motionese' can be defined as an exaggerated and repetitive action. It induces preference and learning in infants. However, which action component of motionese promotes infants' preference and learning remains largely unknown. In this study, we focused on inefficiency and toward-ness of action. Our study demonstrates that observing an inefficient…

This study reports on the theoretical- and empirical-based design and evaluation of cell membrane biology learning activities within the Model of Educational Reconstruction and experiential realism. First, we designed analogy-based learning activities by considering students' and scientists' conceptions as described in the literature. Secondly, we…

Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…

With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…

In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…

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…