scholarly journals Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning Environments

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
James R Segedy ◽  
John S Kinnebrew ◽  
Gautam Biswas
Keyword(s):  
Problem Solving ◽  
Learning Environments ◽  
Self Regulation ◽  
Learning Task ◽  
Coherence Analysis ◽  
Problem Solving Skills ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Learning Behaviours ◽  
Insight Into

Researchers have long recognized the potential benefits of using open-ended computer-based learning environments (OELEs) to study aspects of students’ self-regulated learning behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating coherence analysis (CA), a novel approach to interpreting students’ learning behaviours in OELEs. CA focuses on the learner’s ability to interpret and apply information encountered while working in the OELE. By characterizing behaviours in this manner, CA provides insight into students’ open-ended problem-solving strategies as well as the extent to which they understand the nuances of their current learning task. To validate our approach, we applied CA to data from a recent classroom study with Betty’s Brain. Results demonstrated relationships between CA-derived metrics, prior skill levels, task performance, and learning. Taken together, these results provide insight into students’ SRL processes and suggest targets for adaptive scaffolds to support students’ development of science understanding and open-ended problem solving skills.

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.

The Value of Metacognition and Reflectivity in Computer-Based Learning Environments

2016 ◽  
pp. 105-136
Author(s):  
Sammy Elzarka ◽  
Valerie Beltran ◽  
Jessica C. Decker ◽  
Mark Matzaganian ◽  
Nancy T. Walker
Keyword(s):  
Learning Environments ◽  
Real World ◽  
Self Regulation ◽  
Future Research ◽  
Self Regulated Learning ◽  
Computer Based Learning ◽  
Real World Application ◽  
Regulated Learning ◽  
Computer Based

The purposes of this chapter are threefold: to explore the research on and relationships among metacognition, reflection, and self-regulated learning; to analyze students' experiences with metacognition, reflection, and self-regulated learning activities in computer-based learning (CBL) courses; and to provide strategies that can be used in a CBL environment to promote students' metacognition, reflection, and self-regulation. A review of underlying frameworks for and prior study findings in metacognition and reflection are presented. Case study findings are also described and form the basis for the suggested strategies. The value and implications of using such strategies are also offered. Finally, future research should address the teaching of metacognition and reflection in CBL environments with an emphasis on real world application.

scholarly journals MATHEMATICAL REASONING AND SELF REGULATED LEARNING TOWARDS STUDENTS' PROBLEM SOLVING ABILITY

2019 ◽  
Author(s):  
Agus Setiawan
Keyword(s):  
Problem Solving ◽  
Factorial Design ◽  
Mathematical Reasoning ◽  
Homogeneity Test ◽  
Problem Solving Skills ◽  
Self Regulated Learning ◽  
Learning Hypothesis ◽  
Regulated Learning ◽  
Class Viii ◽  
Essay Tests

This research aims to determine: (1) Are there any differences in problem solvingskills between students who have high, medium and low mathematical reasoning,(2) Are there any differences in problem solving skills between students who havehigh and low self regulated learning, (3) Is there any interaction betweenmathematical reasoning and self regulated learning on problem solving abilities.This research is a comparative causal research with factorial design 3 X 2. Thesubjects of this research were students of class VIII A SMP Ma‟arif 1 Metro. Theinstruments used to collect data are problem solving essay tests, mathematicalreasoning tests and questionnaires for self regulated learning. Hypothesis testingused two-way Anova test with unequal cells while Anava prerequisite test was datanormality test and variant homogeneity test. The conclusions of this research are:(1) There are differences in problem solving abilities between students who havehigh, medium and low mathematical reasoning, (2) There are differences inproblem solving abilities between students who have high and low self regulatedlearning, (3) There are interaction between mathematical reasoning and selfregulated learning on problem solving abilities.

scholarly journals Analysis of Junior High School Students’ Problem-solving Ability Reviewed from Self-regulated Learning

2017 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
A S Bayuningsih ◽  
B Usodo ◽  
S Subanti
Keyword(s):  
High School ◽  
High School Students ◽  
Problem Solving ◽  
Junior High School ◽  
Mathematical Problem ◽  
Self Regulation ◽  
Junior High School Students ◽  
School Students ◽  
Self Regulated Learning ◽  
Regulated Learning

<p class="Abstract">Problem-solving ability in mathematics is a primary means to understand a problem and develop the students ' ability in solving a problem. Step in solving problems are categorized to understanding the problem, devising a plan, carrying out the plan and reflection. This research used a descriptive method aimed to identify the problem-solving ability among junior high school students and review from students self-regulated learning (SRL).The subjects of the research were taken by one student in each SRL category (high, medium, and low) which then given the problem-solving test and the result was triangulated by interview. Based on the research, it can be stated that the students with high self-regulation can solve a mathematical problem by applying first indicator, the second indicator, third indicator, but they cannot apply the fourth indicator. The students with medium self-regulation can apply the first indicator and second indicator while they are still having the problem in third indicator and fourth indicator. The students with low category self-regulation cannot apply all of those in solving the mathematical problem.</p>

scholarly journals THE EFFECT OF SELF-REGULATED LEARNING ON STUDENTS’ PROBLEM-SOLVING ABILITIES

2021 ◽  
Vol 10 (2) ◽  
pp. 927
Author(s):  
Sri Rahayuningsih ◽  
Muhammad Hasbi ◽  
Mulyati Mulyati ◽  
Muhammad Nurhusain
Keyword(s):  
Problem Solving ◽  
Cognitive Processes ◽  
Mixed Method ◽  
Mathematical Problem ◽  
Self Regulation ◽  
Mathematical Problem Solving ◽  
Self Regulated Learning ◽  
Mixed Method Design ◽  
Regulated Learning ◽  
Literacy Ability

Abstract The present study aimed to 1) investigate the effect of self-regulated learning on students’ mathematical problem-solving ability; 2) describe the cognitive processes carried out by students with low and high self-regulation and high problem-solving ability. This study employed an explanatory mixed-method design. Nineteen students at a private high school, in Makassar, Indonesia, were selected, in order to complete the questionnaire, mathematical problem-solving ability test. Of the 19 students, two were selected as research subjects representing problem-solving ability. The quantitative data were analyzed using descriptive statistics and inferential statistics, while the qualitative data analysis had to go through the following stages including, reduction, data display, and conclusion drawing. The results showed that 1) self-regulated learning had no effect on students’ mathematical ability; 2) the cognitive processes carried out by students with high self-regulation and high problem-solving ability included high literacy ability, high metacognitive awareness, being proactive yet inflexible; 3) the cognitive processes carried out by students with low self-regulation and high problem-solving ability included low literacy ability but showing more flexible attitudes. From this study, it can be concluded that problem-solving ability is not influenced by self-regulated learning, but by other factors such as the environment, cognitive ability and cognitive preparedness. Keywords: Problem-solving ability; self-regulated learning. Abstract Penelitian ini bertujuan untuk 1) menginvestigasi pengaruh self-regulated learning terhadap kemampuan pemecahan masalah matematis siswa; 2) mendeskripsikan proses kognitif yang dilakukan siswa dengan self-regulation rendah dan tinggi dan kemampuan pemecahan masalah tinggi. Penelitian ini menggunakan explanatory mixed-method design. Sembilan belas siswa sekolah menengah swasta, di Makassar, Indonesia, dipilih untuk mengisi angket tes kemampuan pemecahan masalah matematika. Dari 19 siswa tersebut, dipilih dua orang sebagai subjek penelitian yang mewakili kemampuan pemecahan masalah. Data kuantitatif dianalisis menggunakan statistik deskriptif dan statistik inferensial, sedangkan analisis data kualitatif melalui tahapan yaitu, reduksi data, menampilkan data, penarikan Kesimpulan. Hasil penelitian menunjukkan bahwa 1) self-regulated learning tidak berpengaruh terhadap kemampuan matematika siswa; 2) proses kognitif yang dilakukan siswa dengan self-regulated learning tinggi dan kemampuan pemecahan masalah tinggi meliputi kemampuan literasi tinggi, kesadaran metakognitif tinggi, proaktif namun tidak fleksibel; 3) Proses kognitif yang dilakukan siswa dengan self-regulated learning rendah dan kemampuan pemecahan masalah tinggi meliputi kemampuan literasi rendah tetapi menunjukkan sikap lebih fleksibel. Dari penelitian ini dapat disimpulkan bahwa kemampuan pemecahan masalah tidak dipengaruhi oleh self-regulated learning, melainkan oleh faktor lain seperti lingkungan, kemampuan kognitif, dan kesiapan kognitif. Keywords: Kemampuan pemecahan masalah, self-regulated learning. 

Generic Versus Context-Specific Prompts for Supporting Self-Regulation in Mathematical Problem Solving Among Students With Low or High Prior Knowledge

2013 ◽  
Vol 12 (2) ◽  
pp. 197-214 ◽  
Author(s):  
Bracha Kramarski ◽  
Itzhak Weiss ◽  
Sarit Sharon
Keyword(s):  
Problem Solving ◽  
Prior Knowledge ◽  
Mathematical Problem ◽  
Self Regulation ◽  
Mathematical Problem Solving ◽  
Question Prompts ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
High Prior Knowledge ◽  
Context Specific

We compared how 61 seventh graders, with low or high prior knowledge in mathematics, capitalized on two self-regulated learning approaches—generic versus context specific—to (a) enhance self-regulated learning, (b) foster procedural knowledge of routine algebraic tasks, and (c) transfer knowledge to novel mathematical problem solving. The generic approach was based on “IMPROVE” question prompts for comprehension, connection, strategy, and reflection modeled in a free context. The context-specific approach was based on what, when, why, and how (WWWH) question prompts directed explicitly to specific examples in a particular mathematical content area. Findings indicated no difference between the two approaches regarding short-term effects on algebraic procedural tasks; however, differential effects emerged between the two approaches on the self-regulation measure and on long-term transfer to novel tasks (near and far) among students with low or high prior knowledge. The practical and scientific significance of this study are discussed.

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