This study investigates the self-regulated learning strategies employed by students in computer programming courses. Utilising the Questionnaire on Learning Strategies in Computer Programming (CEAPC), the research aims to identify specific strategies used by students. The findings reveal a variety of effective learning strategies, including…

Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…

Social competence and social communication development can be concurrently supported through intentional thought and planning on the part of the early childhood special educator. In this article, we present suggestions for how teachers can effectively plan for and implement interventions to support these two areas, all within the context of play.…

A major impediment to problem solving in mathematics in the great majority of South African schools is that disadvantaged students from seriously impoverished learning environments are lacking in the necessary informal mathematical knowledge to develop their own strategies for solving non-routine problems. A randomized pretest-posttest control…

Researchers have long recognized the potential benefits of open-ended computer- based learning environments (OELEs) to help students develop self-regulated learning (SRL) behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating "coherence…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

This study examined the effects of self-explanation prompts on problem-solving performance. In total, 47 students were recruited and trained to debug web-program code in an online learning environment. Students in an open self-explanation group were asked to explain the problem cases to themselves, whereas a complete other-explanation group was…

The influences of cognitive styles have been the focus of research on problems in education for quite some time (Witkin, Moore, Goodenough, & Cox, 1977). In fact, agricultural educators are rapidly increasing the amount of research and education focused on understanding and utilizing cognitive function in an attempt to improve educational…

Mathematics education has emerged to be of prime importance in the United States, as American students' performance has shown to be consistently and significantly lower than many other nations in the world (Rampey, Dion, & Donahue, 2009; National Center for Education Statistics, n.d.; OECD Programme for International Student Assessment, n.d.).…

Explains performance-centered learning (PCL), an approach to optimize support for performance on the job by making corporate assets available to knowledge workers so they can solve actual problems. Illustrates PCL with a Web site that provides just-in-time learning, collaboration, and performance support tools to improve performance at the…

Critically analyzes an article by Jan Klabbers, focusing on methodological, epistemological, and ontological viewpoints. Examines the reasoning process whereby the actor approach model of learning environments is derived from the machine approach model; looks at claims of differentiation between rationalism and historicism, and the distinction…

Discussion of how to teach students to use different environments for learning focuses on visual awareness and visual problem solving skills in a visual literacy walk. Highlights include observation techniques, multiple perspectives, categorizing and analyzing visual information, and generating multiple solutions for problem solving tasks. (six…

Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…

Presents a historical overview of visualization as a cognitive strategy in human creativity, discovery, and problem-solving. Highlights include visualization as a cognitive strategy for solving everyday problems; visualization by scientists and inventors; counter examples; and implications for multimedia learning environments, instructional…