29 research outputs found
Training self-regulated learning skills with video modeling examples: Do task-selection skills transfer?
Self-assessment and task-selection skills are crucial in self-regulated learning situations in which students can choose their own tasks. Prior research suggested that training with video modeling examples, in which another person (the model) demonstrates and explains the cyclical process of problem-solving task performance, self-assessment, and task-selection, is effective for improving adolescents’ problem-solving posttest performance after self-regulated learning. In these examples, the models used a specific task-selection algorithm in which perceived mental effort and self-assessed performance scores were combined to determine the complexity and support level of the next task, selected from a task database. In the present study we aimed to replicate prior findings and to investigate whether transfer of task-selection skills would be facilitated even more by a more general, heuristic task-selection training than the task-specific algorithm. Transfer of task-selection skills was assessed by having students select a new task in another domain for a fictitious peer student. Results showed that both heuristic and algorithmic training of self-assessment and task-selection skills improved problem-solving posttest performance after a self-regulated learning phase, as well as transfer of task-selection skills. Heurist
Training self-regulated learning skills with video modeling examples: Do task-selection skills transfer?
De gemeenschap der heiligen : kerk en gezag bij Presbyteriaanse en Separatistische Engelse Puriteinen 1570-1593.
Reducing cognitive load: The effects of gesturing on children\u27s effective working memory capacity
Abstract presented at the 8th Cognitive Load Theory Conference, Fort Collins, Colorado, USA, June 15th - 17th, 2015
Giving learning a helping hand: finger tracing of temperature graphs on an iPad
Gesturally controlled information and communication technologies, such as tablet devices, are becoming increasingly popular tools for teaching and learning. Based on the theoretical frameworks of cognitive load and embodied cognition, this study investigated the impact of explicit instructions to trace out elements of tablet-based worked examples on mathematical problem-solving. Participants were 61 primary school children (8-11 years), who studied worked examples on an iPad either by tracing temperature graphs with their index finger or without such tracing. Results confirmed the main hypothesis that finger tracing as a form of biologically primary knowledge would support the construction of biologically secondary knowledge needed to understand temperature graphs. Children in the tracing condition achieved higher performance on transfer test questions. The theoretical and practical implications of the results are discussed
Effects of self-assessment feedback on self-assessment and task-selection accuracy
Effective self-regulated learning in settings in which students can decide what tasks to work on, requires accurate self-assessment (i.e., a judgment of own level of performance) as well as accurate task selection (i.e., choosing a subsequent task that fits the current level of performance). Because self-assessment accuracy is often low, task-selection accuracy suffers as well and, consequently, self-regulated learning can lead to suboptimal learning outcomes. Recent studies have shown that a training with video modeling examples enhanced self-assessment accuracy on problem-solving tasks, but the training was not equally effective for every student and, overall, there was room for further improvement in self-assessment accuracy. Therefore, we investigated whether training with video examples followed by feedback focused on self-assessment accuracy would improve subsequent self-assessment and task-selection accuracy in the absence of the feedback. Experiment 1 showed, contrary to our hypothesis, that self-assessment feedback led to less accurate future self-assessments. In Experiment 2, we provided students with feedback focused on self-assessment accuracy plus information on the correct answers, or feedback focused on self-assessment accuracy, plus the correct answers and the opportunity to contrast those with their own answers. Again, however, we found no beneficial effect of feedback on subsequent self-assessment accuracy. In sum, we found no evidence that feedback on self-assessment accuracy improves subsequent accuracy. Therefore, future research should address other ways improving accuracy, for instance by taking into account the cues upon which students base their self-assessments
How finger tracing of temperature graphs on an iPad can support primary school students\u27 learning
Abstract presented at the 8th Cognitive Load Theory Conference, Fort Collins, Colorado, USA, June 15th - 17th, 2015
Cognitive load, cues, and task selection in learning probability calculus
Abstract presented at the 8th Cognitive Load Theory Conference, Fort Collins, Colorado, USA, June 15th - 17th, 2015
A systematic scoping review of pre-school self-regulation interventions from a self-determination theory perspective
Self-regulation (SR) is considered foundational in early life, with robust evidence demon-strating a link between early self-regulation and longer-term outcomes. This has been the impetus for a growing body of intervention research into how best to support early SR development, yet approaches and effects are diverse, which complicates an understanding of the critical characteristics for effective early SR intervention. Using Self-Determination Theory (SDT) as a guiding framework, we present a scoping review of early SR-intervention research to identify the characteristics of pre-school interventions that show significant and strong effects on young children’s SR. Studies from peer-reviewed journal articles were included if they evaluated a SR intervention with pre-school children, were published between 2010 and 2020, written in English, and included a SR outcome measure. This yielded 19 studies, each reporting the efficacy of a different SR intervention. Results showed that content factors (what interventions do) interacted with their implementation (how, when, and by whom interventions are implemented) to discriminate the more versus less efficacious interventions. Through the lens of SDT, results further suggested that targeting competence through encouragement and feedback, and nurturing children’s autonomy distinguished more from less effective interventions. Relatedness was least able to discriminate intervention efficacy
A Systematic Scoping Review of Pre-School Self-Regulation Interventions from a Self-Determination Theory Perspective
Self-regulation (SR) is considered foundational in early life, with robust evidence demon-strating a link between early self-regulation and longer-term outcomes. This has been the impetus for a growing body of intervention research into how best to support early SR development, yet approaches and effects are diverse, which complicates an understanding of the critical characteristics for effective early SR intervention. Using Self-Determination Theory (SDT) as a guiding framework, we present a scoping review of early SR-intervention research to identify the characteristics of pre-school interventions that show significant and strong effects on young children’s SR. Studies from peer-reviewed journal articles were included if they evaluated a SR intervention with pre-school children, were published between 2010 and 2020, written in English, and included a SR outcome measure. This yielded 19 studies, each reporting the efficacy of a different SR intervention. Results showed that content factors (what interventions do) interacted with their implementation (how, when, and by whom interventions are implemented) to discriminate the more versus less efficacious interventions. Through the lens of SDT, results further suggested that targeting competence through encouragement and feedback, and nurturing children’s autonomy distinguished more from less effective interventions. Relatedness was least able to discriminate intervention efficacy