The concept of deep learning has become a popular and well recognised term in contemporary educational literature and international political documents. Deep learning typically induces positive connotations and represents the learning strategy that educational institutions should adopt in order to assure a sustainable future in modern societies.…

Despite the existence of many studies on language learning strategies (LLS), little scholarly work reports the LLS used by multilingual foreign language learners. To fill this empirical gap, the present qualitative case study investigates how polyglots employed their strategies over their path of learning multiple foreign languages. We collected…

Informal learning in the workplace is a critical yet understudied aspect of employee development. While formal learning receives significant attention, informal learning strategies play a crucial role in knowledge acquisition and skill development. Recent research highlights various antecedents of informal learning, including psychological and…

Complex dynamic systems offer a rich platform for understanding the individual or the person-specific mechanisms. Yet, in learning analytics research and education at large, a complex dynamic system has rarely been framed, developed, or used to understand the individual student where the learning process takes place. Individual (or…

Background: Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand…

The evolving landscape of higher education requires a better understanding of students' cognitive strengths, especially in complex disciplines such as Economics where multiple approaches to problem solving are essential. This study explored students' multiple intelligences (MI) approach to learning Economics and examined gender differences in the…

A community of practice (COP) can offer learning and support as a group of people who come together to share concerns, best practices, or new knowledge about some shared interest or passion. However, creating or joining a COP may present challenges, especially for those whose networks are relatively undeveloped. In this article, we define a COP…

Recent empirical investigations have concentrated primarily on studying imitation as a social tool that satisfies social motivations, while other potential reasons for and forms of imitation have attracted less attention. These investigations have also focused on studying the role of pedagogy in imitative learning and set up most experiments in a…

International students are fundamental actors in the university's knowledge management process, but little is known about their knowledge activities. The purpose of this study is to understand how the knowledge sharing process in higher education unfolds in the context of international students' perspectives. Based on a qualitative approach, data…

Physical education in colleges plays an increasingly important role in cultivating high-quality innovative talent. The main factors that affect college students' approaches to learning physics remain unknown. This study examined the relationships among college engineering students' epistemic views of physics, conceptions of learning physics, and…

Knowledge tracing (KT) aims to trace students' evolving knowledge states based on their learning sequences. Recently, some deep learning based models have been proposed to incorporate the historical information of individuals to trace students' knowledge states and achieve encouraging progress. However, these works ignore the collaborative…

In recent years, the concept of "deeper learning" has generated great interest in the field of preschool education in China. However, deep learning in the preschool stage is different from that in school education, as it requires explaining content characteristics, developing observational tools to identify deep learning, and exploring…

This study was conducted to meta-analytically investigate the influence of teaching vs. no teaching expectancy on the learning effects of teaching after preparatory learning. A meta-analysis of 39 studies revealed that a weighted mean effect size for the effect of teaching after studying with or without teaching expectancy vs. merely studying…

Purpose: This study aims to understand how practitioners use their insights in software development models to share experiences within and between organizations. Design/methodology/approach: This is a qualitative study of practitioners in software development projects, in large-, medium- or small-size businesses. It analyzes interview material in…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…