scholarly journals A Mobile Sleep-Management Learning System for Improving Students’ Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Hui-Chun Chu ◽  
Yi-Meng Liu ◽  
Fan-Ray Kuo
Keyword(s):  
Learning Strategies ◽  
Undergraduate Students ◽  
Controlled Trial ◽  
Learning System ◽  
Learning Performance ◽  
Self Regulated Learning ◽  
Management Learning ◽  
Regulated Learning ◽  
Sleep Management ◽  
Sleeping Habits

BACKGROUND Insomnia can significantly affect students’ learning performance. Researchers have indicated the importance and challenge of coping with insomnia using nondrug treatments, such as cognitive behavioral therapy (CBT) for insomnia. However, it is easy for the traditional CBT for insomnia to be interrupted owing to the overly lengthy period of sleep therapy. Self-regulated learning (SRL) strategies are known to be an effective approach for helping students improve their time management, as well as their ability to set learning goals and adopt learning strategies. OBJECTIVE The objective of this study was to propose a mobile sleep-management learning system integrated with SRL strategies and CBT. METHODS A total of 18 undergraduate students from a university in northern Taiwan participated in the 2-week experiment of using this sleep-management system. RESULTS The experimental results showed that the proposed approach was useful and easy for students to use. In addition, the number of students with insomnia significantly decreased; that is, the proposed approach could help students improve their sleep quality and cultivate better sleeping habits, which is important for them to enhance their learning efficiency. CONCLUSIONS With the assistance of this proposed approach, students can plan their daily life by setting goals, applying strategies, monitoring their life habits process, and modifying strategies to cultivate good learning and healthy lifestyle habits. CLINICALTRIAL Government Research Bulletin MOST104-3011-E038-001; https://www.grb.gov.tw/search/planDetail? id=11568383&docId=467988 (Archived by WebCite at http://www.webcitation.org/73MnPHNri)

scholarly journals Perception and Attitude Toward Self-Regulated Learning of Thailand’s Students in Educational Data Mining Perspective

2019 ◽  
Vol 14 (09) ◽  
pp. 34 ◽  
Author(s):  
Wongpanya Sararat Nuankaew ◽  
Pratya Nuankaew ◽  
Direk Teeraputon ◽  
Kanakarn Phanniphong ◽  
Sittichai Bussaman
Keyword(s):  
Higher Education ◽  
Learning Styles ◽  
Learning Strategies ◽  
Undergraduate Students ◽  
Learning Strategy ◽  
Educational Data Mining ◽  
Learning Technology ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Modern Learning

The Self-Regulated Learning (SRL) strategies can be the best. It can be achieved by a sub-goal that will be more important in the younger generation. This paper proposes the process of developing factors (attributes) which are related to the development of learning styles through self-regulated strategies. The objectives of this paper are (1) to study the perception and attitude toward the attributes of students with self-regulated learning of the students in higher education, and (2) to find the level of acceptance towards the factor of SRL using applied statistics and machine learning technology. The results show that two tools have proved the respondents and the factors of SRL in the accepted level. Besides, the results found that Thai higher education students still focus on formal learning, which conflicts with the behavior and us-age of Internet and telephone in the classroom. In future work, the author is committed to develop and apply a self-regulated learning strategy model with a combination of collaborative learning strategies of blended learning. Also, it supports undergraduate students in analyzing the factors and studying the behavior patterns of learners in suitable modern learning.

scholarly journals Self-regulation as Correlates to Students’ Voices and Achievement in TOEFL Score

2018 ◽  
Vol 30 (1) ◽  
pp. 50
Author(s):  
Monika Dini Kurniasari
Keyword(s):  
Learning Strategies ◽  
Test Scores ◽  
Self Regulation ◽  
Learning Performance ◽  
Strong Positive Correlation ◽  
Progress Test ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Regulation Strategies ◽  
Methods Of Learning

Students’ engagement and persistence in test preparation require their use of self-regulated learning strategies to negate distraction and facilitate good preparation. This research aimed to investigate students’ self-regulation strategies when taking a TOEFL preparation course, by measuring their attitudes towards the course and analyzing the correlation between their pre-test and progress test scores. The data collected comprised self-reported answers from a Motivated Strategies for Learning Questionnaire and the scores of a pre-test and progress test taken by the students during the course. The students were cognizant that hard work affected learning performance, valuing in particular overcoming difficult tasks or continuing to learn even when performance lagged. A strong positive correlation was also found between pre-test and progress test scores (r = 0.8422), indicating high academic performance in the students. These findings emphasize the importance of developing students’ methods of learning and practice. Students should be empowered to become regulated-learners, and should be made more aware of different self-regulated learning strategies to better evaluate, regulate, and improve their own performance.

scholarly journals INVESTIGATING SELF-REGULATED LEARNING STRATEGIES FOR DIGITAL LEARNING RELEVANCY

2021 ◽  
Vol 18 (Number 1) ◽  
pp. 29-64
Author(s):  
Lilian Anthonysamy ◽  
Koo Ah Choo ◽  
Hew Soon Hin
Keyword(s):  
Higher Education ◽  
Learning Strategies ◽  
Higher Education Institutions ◽  
Private Higher Education ◽  
Learning Performance ◽  
Future Research ◽  
Digital Learning ◽  
Sources Of Information ◽  
Self Regulated Learning ◽  
Regulated Learning

Purpose – The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes has led to poor learning performance among undergraduates. Therefore, this study examined the effects of self-regulated learning strategies (SRLS) on learning performance among Malaysian IT undergraduates. Methodology – A sample of IT undergraduates from private higher education institutions in Malaysia participated in the study. Quantitative data from a total of 563 respondents was collected through questionnaire surveys and analysed using PLS-SEM. The common method variance was utilized in this paper. Findings – The findings of this study constitute essential results that three out of four SRLS domains (cognitive engagement, resource management, and motivational beliefs) positively influenced the students’ perception of learning performance. Significance – This study provides insight into the best SRLS to excel in digital learning for deeper learning particularly in the Malaysian context. Implications of the findings on higher education institutions as well as recommendations for future research are discussed. Keywords: Self-regulated learning strategies, digital learning, higher education, learning performance, subjective learning outcomes.

The effect of self-regulated programming learning on undergraduate students’ academic performance and motivation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mücahit Öztürk
Keyword(s):  
Academic Performance ◽  
Learning Strategies ◽  
Undergraduate Students ◽  
The Self ◽  
Instructional Technologies ◽  
Traditional Methods ◽  
Content Type ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Control

Purpose The purpose of this study was to investigate the effect of self-regulated programming learning on undergraduate students’ academic performance and motivation compared to traditional methods. Design/methodology/approach This study was conducted with an explanatory sequential mixed method. Participants consist of 31 undergraduate students studying in the department of computer and instructional technologies education. The students were separated into two groups as experimental (n = 15) and control (n = 16) in the robotic programming course. Academic performance tests, programming motivation scale and interview form were used as data collection tools. After collecting quantitative data, interviews were conducted with the students regarding their academic performance and motivation. Findings The results indicated that the self-regulated programming learning process can contribute positively to students’ academic performance and motivation compared to traditional methods. Students stated that self-regulated learning strategies can positively affect their academic performance and motivation. Originality/value In this study, a self-regulated learning support system was designed to encourage students to use self-regulated learning strategies. This study has the potential to contribute to the gap in the literature, especially as a study of adapting the phased model of self-regulated learning to programming teaching. Instructors can use the self-regulating programming learning framework by adapting it to different disciplines.

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