Understanding Learners’ Challenges and Scaffolding their Ill-structured Problem Solving in a Technology-Supported Self-Regulated Learning Environment

2020 ◽  
pp. 321-343
Author(s):  
Victor Law ◽  
Xun Ge ◽  
Kun Huang
Keyword(s):  
Problem Solving ◽  
Learning Environment ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Structured Problem Solving

scholarly journals Hipatia: a hypermedia learning environment in mathematics

2015 ◽  
Vol 32 (1) ◽  
pp. 98 ◽  
Author(s):  
Marisol Cueli ◽  
Paloma González-Castro ◽  
Jennifer Krawec ◽  
José C. Núñez ◽  
Julio A. González-Pienda
Keyword(s):  
Problem Solving ◽  
Learning Environment ◽  
Adaptive Learning ◽  
Sixth Grade ◽  
Future Research ◽  
Font Size ◽  
Math Skills ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Adaptive Learning Systems

<span style="font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman','serif'; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Literature revealed the benefits of different instruments for the development of mathematical competence, problem solving, self-regulated learning, affective-motivational aspects and intervention in students with specific difficulties in mathematics. However, no one tool combined all these variables. The aim of this study is to present and describe the design and development of a hypermedia tool, Hipatia.</span><span style="font-size: 12.0pt; line-height: 115%; font-family: 'Times New Roman','serif'; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Hypermedia environments are, by definition, adaptive learning systems, which are usually a web-based application program that provide a personalized learning environment. This paper describes the principles on which Hipatia is based as well as a review of available technologies developed in different academic subjects. Hipatia was created to boost self-regulated learning, develop specific math skills, and promote effective problem solving. It was targeted toward fifth and sixth grade students with and without learning difficulties in mathematics. After the development of the tool, we concluded that it aligned well with the logic underlying the principles of self-regulated learning. Future research is needed to test the efficacy of Hipatia with an empirical methodology.</span><!--[if gte mso 10]> <mce:style><! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"MS Mincho"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} > <! [endif] -->

scholarly journals The Role of Mental Effort in Fostering Self-Regulated Learning with Problem-Solving Tasks

2020 ◽  
Vol 32 (4) ◽  
pp. 1055-1072 ◽  
Author(s):  
Tamara van Gog ◽  
Vincent Hoogerheide ◽  
Milou van Harsel
Keyword(s):  
Problem Solving ◽  
Self Regulation ◽  
Mental Effort ◽  
Future Research ◽  
Task Sequence ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Mathematics

Abstract Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or learning from expository texts). Here, we review research on fostering self-regulated learning of problem-solving tasks, in which mental effort plays an important role. First, we review research showing that having students engage in effortful, generative learning activities while learning to solve problems can provide them with cues that help them improve self-monitoring and self-regulation at an item level (i.e., determining whether or not a certain type of problem needs further study/practice). Second, we turn to self-monitoring and self-regulation at the task sequence level (i.e., determining what an appropriate next problem-solving task would be given the current level of understanding/performance). We review research showing that teaching students to regulate their learning process by taking into account not only their performance but also their invested mental effort on a prior task when selecting a new task improves self-regulated learning outcomes (i.e., performance on a knowledge test in the domain of the study). Important directions for future research on the role of mental effort in (improving) self-monitoring and self-regulation at the item and task selection levels are discussed after the respective sections.

scholarly journals Self-Regulated Learning Strategy Based on Problem Solving to Improve The Learners’ Learning Outcomes

2019 ◽  
Vol 9 (1) ◽  
pp. 59-72
Author(s):  
Santi Eka Ambaryani ◽  
◽  
Winarti Winarti ◽  
Keyword(s):  
Problem Solving ◽  
Learning Outcomes ◽  
Learning Strategy ◽  
Hypothesis Test ◽  
Average Score ◽  
Control Group ◽  
Science Program ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Mathematics And Science

Self-regulated learning is an effort to manage an individual’s learning. This research aims to 1) determine the strategy of self-regulated learning (SRL) based on problem-solving toward the learners’ learning outcomes and 2) determine the learning outcome improvement of the learners in learning by using the SRL based-problem solving. This research is quantitative research with quasi-experimental type and pretest-posttest control group design. The sampling technique was purposive sampling. The research population covered all in Senior High School (SMA 5) Yogyakarta. The samples were from the tenth graders of Mathematics and Science Program 3 as the control group and Mathematics and Science Program 1 as the experimental group. The data collection methods consisted of test and non-test. The analysis result were, the hypothesis test showed that the applied strategy influenced the learners’ learning outcomes and the learners’ learning outcomes had improvements with the N-gain average score of 0.590, categorized moderate. Keywords: Problem-Solving, Self-Regulated Learning Strategy, Simple Harmonic Motion

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