scholarly journals Enhancing Student Learning And Problem Solving Skills Through Self Regulated Learning Assessment For Computer Engineering

2020 ◽  
Author(s):  
Gordon Skelton ◽  
Wei Zheng ◽  
HuiRu Shih ◽  
Evelyn Leggette ◽  
Tzusheng Pei
2019 ◽  
Author(s):  
Agus Setiawan

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.


2015 ◽  
Vol 2 (1) ◽  
Author(s):  
James R Segedy ◽  
John S Kinnebrew ◽  
Gautam Biswas

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.


2019 ◽  
Vol 6 (1) ◽  
pp. 118-129
Author(s):  
Yuli Kurniyawati ◽  
Ali Mahmudi ◽  
Endang Wahyuningrum

Penelitian ini bertujuan untuk mendeskripsikan efektifitas problem-based learning ditinjau dari keterampilan pemecahan masalah dan kemandirian belajar matematis. Penelitian ini merupakan penelitian Quasi Experimental dengan populasi siswa kelas VIII SMP Negeri 1 Ngadirejo Temanggung tahun pelajaran 2017/2018. Pengambilan sampel dilakukan secara acak dengan mengambil 3 kelas dari 7 kelas yang ada, dan terpilih kelas VIII A sebagai kelas ujicoba, kelas VIIIB sebagai kelas eksperimen, dan kelas VIIIC sebagai kelas kontrol. Instrumen penelitian yang digunakan adalah tes keterampilan pemecahan masalah matematis dan skala kemandirian belajar matematis. Hasil penelitian menunjukkan bahwa problem-based learning efektif ditinjau dari keterampilan pemecahan dan kemandirian belajar matematis. Terdapat perbedaan efektivitas antara problem-based learning dan pembelajaran konvensional ditinjau dari keterampilan pemecahan masalah dan kemandirian belajar matematis. Terdapat hubungan signifikan antara keterampilan pemecahan masalah dan kemandirian belajar matematis.The effectiveness of problem-based learning in terms of mathematical problem-solving skills and self-regulatedAbstractThis study aims to determine the effectiveness of problem-based learning in terms of mathematical problem-solving skills and self-regulated. This study is quasi-experimental with a population of students of grade VIII SMP Negeri 1 Ngadirejo Temanggung academic year 2017/2018. The sampling was done randomly by taking 3 of 7 classes, and the elected class was VIII A, VIIIB, and VIIIC. Then, the three classes were randomized to determine the tryout class, control, and experimental class. Class VIIIB was selected as an experimental class, VIIIC as a control class and VIIIA as a tryout class. The instrument used was the test of mathematical problem-solving skills, the scale of self-regulated learning and observation sheet of learning implementation. The results of this study showed that problem-based learning is effective in terms of mathematical problem-solving skills and self-regulated learning. There is a difference in effectiveness between problem-based learning and conventional learning in terms of mathematical problem-solving skills and self-regulated learning. There is a significant relationship between mathematical problem-solving skills and self-regulated learning.


2021 ◽  
Vol 11 (2) ◽  
pp. 541
Author(s):  
Ahmad Abtokhi ◽  
Budi Jatmiko ◽  
Wasis Wasis

The problems of learning physics have experienced increasingly complex obstacles amid the demands of online learning due to the COVID-19 pandemic. The purpose of this study is to explain the basic physics learning process through an online system during a pandemic, by evaluating the Self-Regulated Learning (SRL) approach to Problem-solving Skills (PSS). Data were collected through distributing questionnaires, interviews and documentation studies, then analyzed. This study shows that the applied SRL has been implemented well, but has not been optimal in improving PSS in online Basic Physics learning. The unpreparedness of technological devices and the competence of educators and students become obstacles that result in difficulties in solving physics problems so that the expected results are not following the expected learning targets. Also, this study shows the difficulty of learning physics online during the pandemic. Thus, a responsive physics learning model is needed with conditions that allow the delivery of physics material to be well understood, even though it is delivered through digital media. This is a demand that needs the attention of all parties so that the achievement of online learning targets remains optimal and effective in increasing the problem-solving skills of students during the COVID-19 pandemic.


2019 ◽  
Author(s):  
Agus Setiawan

ABSTARCTThis 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.Keywords: Mathematical Reasoning, Self Regulated Learning, Problem SolvingAbility


2020 ◽  
Vol 17 (35) ◽  
pp. 960-976
Author(s):  
Deka Dyah UTAMI ◽  
Punaji SETYOSARI ◽  
Waras KAMDI ◽  
Saida ULFA ◽  
Dedi KUSWANDI

Learning chemistry in the 21st century should emphasize higher-order thinking skills such as metacognitive and problem-solving skills besides cognitive learning outcomes. Metacognitive needs to be improved so students can practice organizing, monitoring, and evaluating their thinking process in solving chemical problems. Problem-solving needs to develop to train students in making the appropriate decision and scientific explanation when encountering chemical issues. Based on observation results, the metacognitive and problem-solving skills of a pre-service science teacher in Malang, Indonesia, were low. Metacognitive and problem-solving skills are affected by academic-self regulated learning (ASRL) by students. This study aimed to know the effect of the Strategy Meets Augmented Reality Technology-using Problem Based Learning (SMART-PBL) and Academic-self regulated learning (ASRL) on improving metacognitive and problem-solving skills in learning chemistry. The SMART-PBL was modified by Problem Based Learning (PBL) strategy, which assisted by Augmented Reality technology as visual media. The research subject was 64 pre-service science teachers divided into control and experimental class, respectively, of 32 students. The research design was Quasi-Experimental, with Nonequivalent Control Group Design using factorial 2x2. The trial class performed SMART-PBL, which showed a more significant influence on metacognitive and problem-solving skills than the PBL class. The SMART-PBL not interacted with ASRL to improve metacognitive and problem-solving skills. By implementing SMART-PBL improves not only metacognitive and problem-solving skills but also evokes creative and critical thinking, communication, and scientific reasoning skills that appear in students during learning chemistry.


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