scholarly journals Factors Influencing Academic Achievement in Preclinical Students

2020 ◽  
Vol 3 (3) ◽  
pp. p8
Author(s):  
Yanint Raksadawan ◽  
Chantacha Sitticharoon ◽  
Nipith Charoenngam ◽  
Pailin Maikaew ◽  
Issarawan Keadkraichaiwat
Keyword(s):  
Academic Achievement ◽  
Learning Strategies ◽  
Time Management ◽  
Internet Use ◽  
Self Regulation ◽  
Normal Weight ◽  
Self Regulated Learning ◽  
Management Learning ◽  
Factors Influencing ◽  
Positive Correlations

Academic achievement is a major concern of preclinical students. This study aimed to determine factors influencing academic achievement in preclinical years. Questionnaires were sent to all students of the 2019 class at the 1st (2019/1) and 2nd preclinical years (2019/2) and the 2018 class at the 2nd preclinical year (2018/2) without sampling, with 85.11% (280/328), 86.32% (284/328), and 83.54% (274/328) being returned, respectively. Students were divided into Q1 (lowest)-Q2-Q3-Q4 (highest) according to quartiles of their GPA. Q4 students had higher examination expectation and achievement of study targets in all classes and more time spent on non-recorded-e-lecture study in the 2018/2 and 2019/2 classes; but lower time spent on recorded-e-lecture study in the 2019/1 class and non-academic-internet use in the 2019/2 and 2018/2 classes than other groups. In contrast, Q1 students had higher instances of lateness and absence/year in the 2019/2 and 2018/2 classes but lower happiness scores in the 2018/2 class compared to other groups. Obese and overweight students had significantly lower GPA than normal weight and underweight students of the 2019/2 class (p<0.05 all). The current year GPA had significant positive correlations with the previous year GPA, examination expectation, achievement of study targets, and time spent on non-recorded-e-lecture study; but had significant negative correlations with time spent on recorded-e-lecture study and non-academic internet use, instances of lateness and absence/year, and BMI (p<0.05 all). In conclusion, students with more self-regulation strategies in many aspects of self-regulated learning, including time management, learning strategies, emotion control, motivation, and self-efficacy, had better academic outcomes.

scholarly journals Examining Procrastination among University Students through the Lens of the Self-Regulated Learning Model

2020 ◽  
Vol 10 (12) ◽  
pp. 184
Author(s):  
Pierpaolo Limone ◽  
Maria Sinatra ◽  
Flavio Ceglie ◽  
Lucia Monacis
Keyword(s):  
University Students ◽  
Learning Strategies ◽  
Time Management ◽  
Self Regulation ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Academic Settings ◽  
Account Due

Generally considered as a prevalent occurrence in academic settings, procrastination was analyzed in association with constructs such as self-efficacy, self-esteem, anxiety, stress, and fear of failure. This study investigated the role played by self-regulated learning strategies in predicting procrastination among university students. To this purpose, the relationships of procrastination with cognitive and metacognitive learning strategies and time management were explored in the entire sample, as well as in male and female groups. Gender differences were taken into account due to the mixed results that emerged in previous studies. This cross-sectional study involved 450 university students (M = 230; F = 220; Mage = 21.08, DS = 3.25) who completed a self-reported questionnaire including a sociodemographic section, the Tuckman Procrastination Scale, the Time Management Scale, and the Metacognitive Self-Regulation and Critical Thinking Scales. Descriptive and inferential analyses were applied to the data. The main findings indicated that temporal and metacognitive components play an important role in students’ academic achievement and that, compared to females, males procrastinate more due to poor time management skills and metacognitive strategies. Practical implications were suggested to help students to overcome their dilatory behavior.

scholarly journals Relationships between self-regulated learning strategies, learning motivation and mathematics achievement

2020 ◽  
Vol 15 (1) ◽  
pp. 104-111
Author(s):  
Adel El-Adl ◽  
Hussain Alkharusi
Keyword(s):  
Academic Achievement ◽  
Learning Strategies ◽  
Extrinsic Motivation ◽  
Self Regulation ◽  
Learning Motivation ◽  
Learning Beliefs ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Mathematics ◽  
Ninth Grade Students

This study aimed at examining the relationships of self-regulated learning strategies with students’ learning motivation and academic achievement in mathematics. The study employed a descriptive research design. The participants were 238 ninth grade students in the Sultanate of Oman. The Motivated Strategies for Learning Questionnaire was used to assess the participants’ use of self-regulated learning strategies and motivation. Academic achievement was reflected by the total score obtained in mathematics. Results revealed statistically positive relationships of self-regulated learning with intrinsic motivation, extrinsic motivation, task value, control of learning beliefs, self-efficacy and academic achievement. Test anxiety was found to be negatively related to self-regulated learning. The study offers insights on how to develop effective instructional strategies to enhance students' self-regulated learning skills.   Keywords: Self-regulation, learning motivation, learning beliefs, academic achievement, learning.

scholarly journals Academic Achievement and Gender Peer Effects on Social Comparisons and Self-Regulated Learning Behaviors in A Taiwanese EFL Context

2018 ◽  
Vol 6 (5) ◽  
Author(s):  
Wan-Jeng Chang
Keyword(s):  
Academic Achievement ◽  
Learning Strategies ◽  
Peer Effects ◽  
Social Comparisons ◽  
Female Students ◽  
Learning Behaviors ◽  
Self Regulated Learning ◽  
Efl Context ◽  
Regulated Learning ◽  
And Gender

The main purpose of the present article is to estimate academic achievement and gender peer effects on social comparisons and self-regulated learning behaviors in a Taiwanese EFL context. The participating students were 50 non-English-major freshmen studying in Central Taiwan. Analyses of the data reveal the following findings. First, female students preferred or felt more comfortable making social comparisons with other female students, and they applied more self-regulated learning strategies. Second, male students had a stronger drive to make social comparisons, and they would prepare harder over time for the tests. Third, students with relatively low ability tended toward upward comparison and tended to give up or only study the easy parts. 

scholarly journals Reconsidering the Assessment of Self-Regulated Learning in Foreign Language Courses

2014 ◽  
pp. 443-459
Author(s):  
Kristen Sullivan
Keyword(s):  
Foreign Language ◽  
Learning Strategies ◽  
Teaching And Learning ◽  
Self Regulation ◽  
Assessment Practices ◽  
Learner Engagement ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Language Courses ◽  
Foreign Language Courses

This paper addresses the issue of how to assess learners’ engagement with activities designed to develop self-regulatory learning strategies in the context of foreign language teaching and learning. The argument is that, if the aim of these activities is the development of learners’ self-regulation, then the assessment practices used must also reflect this orientation. The problem herein is that traditional assessment practices are typically normative in nature, endorsing understandings of intelligence as fixed and failure as unacceptable. Using such approaches to assess learner engagement with self-regulated learning activities will undermine efforts to promote learner development, and may demotivate learners. This paper will discuss these issues through a critical reflection on assessment practices used to evaluate EFL learners’ engagement with an assessable homework activity designed to develop their self-regulatory strategies. It is argued that learning-oriented assessment principles and practices are most suited to the evaluation of self-regulated learning in EFL. Potential issues related to the application of learning-oriented assessment in EFL contexts are also discussed.

scholarly journals The Relationship Between Resource Management Learning Strategies and Academic Achievement

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Masoumeh Vaezi ◽  
Naser Hatamzadeh ◽  
Fazel Zinat Motlagh ◽  
Hooman Rahimi ◽  
Motahereh Khalvandi
Keyword(s):  
Academic Achievement ◽  
Resource Management ◽  
Learning Strategies ◽  
Management Learning ◽  
The Relationship

scholarly journals The relationship between flexible and self-regulated learning in open and distance universities

2012 ◽  
Vol 13 (2) ◽  
pp. 101 ◽  
Author(s):  
Per Bernard Bergamin ◽  
Simone Ziska ◽  
Egon Werlen ◽  
Eva Siegenthaler
Keyword(s):  
Learning Strategies ◽  
Learning Style ◽  
Time Management ◽  
Flexible Learning ◽  
Self Regulated Learning ◽  
Positive Effects ◽  
Regulated Learning ◽  
The Face ◽  
High Flexibility ◽  
The Relationship

<p>Flexibility in learning provides a student room for volitional control and an array of strategies and encourages persistence in the face of difficulties. Autonomy in and control over one’s learning process can be seen as a condition for self-regulated learning. There are a number of categories and dimensions for flexible learning; following professional publications, time, location, lesson content, pedagogy method, learning style, organization, and course requirements are all elements to consider. Using these categories and the dimensions of flexible learning, we developed and validated a questionnaire for an open and distance learning setting. This article reports on the results from a study investigating the relationship between flexible learning and self-regulated learning strategies. The results show the positive effects of flexible learning and its three factors, time management, teacher contact, and content, on self-regulated learning strategies (cognitive, metacognitive, and resource-based). Groups that have high flexibility in learning indicate that they use more learning strategies than groups with low flexibility.</p>

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