Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students…

The ability to properly evaluate one's own academic progress has long been considered a predictor of academic success. However, its distinctive role in the context of computational mathematics remains underexplored. Grounded in social cognitive theory, this study investigates the critical role of self-regulated learning (SRL) strategies in…

The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…

The purpose of this research was to examine college students' conceptions of learning computer science and approaches to learning computer science and to examine the relationships among these two important constructs and possible moderating factors. Student data (N = 193) were collected using the conceptions of learning computer science and the…

Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…

Abstract electronics concepts are difficult to develop because the phenomena of interest cannot be readily observed. Visualisation skills support learning about electronics and can be applied at different levels of representation and understanding (observable, symbolic and abstract). Providing learners with opportunities to make transitions…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

This study investigates how young children master, construct and understand intelligent rule-based robot behaviors, focusing on their strategies in gradually meeting the tasks' complexity. The wider aim is to provide a comprehensive map of the kinds of transitions and learning that take place in constructing simple emergent behaviors, particularly…

Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…

Electronic performance support systems (EPSSs) are the software programs commonly used in commercial environments since the early 1990s. These software programs are generally called performance-based systems and focus on the complete job rather than providing individual development. For that reason, the usage of these systems in learning…

Nowadays we need to teach students how to become flexible problem solvers in a dynamic world. The pace in which technology changes and complexity increases requires increased efficiency in learning and understanding. This requires the engineers of tomorrow to quickly gain knowledge and insight outside their prime area of expertise. To transfer…

Adaptive learning and teaching strategies are increasingly demanded in order to improve the efficiency and effectiveness of the education process, but few intelligent education systems exist, which are dynamic and able to satisfy individual students' requirements. In an attempt to overcome these limitations, we have developed a multi-agent…

Little research has been conducted on how students work when they are required to plan, build and evaluate artefacts in technology rich learning environments such as those supported by tools including flow charts, "Labview" programming and Lego construction. In this study, activity theory was used as an analytic tool to examine the social…

Presents ongoing research for constructing formal models of learning in rich problem-solving domains. The underlying framework for the research is aimed at integrating models of active, goal-oriented learning processes with theories of problem-solving and cognitive skill development. Indicates that the particular self-explanation and…

Two experiments involved an intelligent tutoring system for the Carnegie Mellon University Lisp Tutor using production system theories of transfer and analogical problem solving. Results suggested that acquisition of cognitive skills is facilitated by high degrees of metacognition, which includes higher level monitoring of states of knowledge,…