scholarly journals Students’ learning style and its effect on blended learning, does it matter?

2020 ◽  
Vol 9 (1) ◽  
pp. 195
Author(s):  
Nurasma’ Shamsuddin ◽  
Jasber Kaur
Keyword(s):  
Learning Environment ◽  
Learning Styles ◽  
Blended Learning ◽  
Student Perceptions ◽  
Learning Style ◽  
Learning Outcome ◽  
Delivery Mode ◽  
Suitable Material ◽  
Learning Style Inventory ◽  
And Performance

<span>Blended learning is an approach in education system that provides multi delivery mode to optimize learning outcome and cost of program delivery in institutions. Little is known on how impactful blended learning in terms of achieving the desired learning outcome. This is because students’ learning style has influenced their achievement and if mediated in a hybrid learning environment like blended learning will further result in evaluation and performance of blended learning environment. This study aims to investigate learning styles among the students and their relationship with perceptions of blended learning. The study involved 119 students taking the course of Diploma in Information Technology at a private university. The learning style of the students was determined by using Kolb's Learning Style Inventory, while perceptions of blended learning were investigated using elements of process, content, and usability. Student perceptions on blended learning were assessed using a one-way ANOVA to determine the correlation with the learning style of the students. Majority of the students belong to the Convergent category, followed by Divergent, Accommodator, and Assimilator. The outcomes of this study showed no meaningful difference between students’ learning styles and their perceptions towards blended learning. The findings from the study could benefit academician in designing more suitable material according to students' preferred mode such as more hands-on tasks for Convergent groups, which belief, can improve the student's achievement.</span>

Reality and Diversity: Reform in the Architectural Design Studio

2006 ◽  
Vol 31 (2) ◽  
pp. 20-31
Author(s):  
Jia Beisi
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Personal Experience ◽  
Architectural Design ◽  
Learning Activities ◽  
Two Dimensional ◽  
Learning Style Inventory ◽  
Reflection In Action ◽  
Architectural Design Studio ◽  
And Performance

Habraken points out that the architectural studio failed to bring students to basic questions in the architecture of everyday environments. Till criticizes that in a studio, it is only the professional value represented by the teachers that prevails. To investigate the reasons of the allegation, this paper introduces a learning model defined by David A. Kolb, in which a learning process consists of two dimensional movements: i.e., prehension (concrete experiences vs. abstract conceptualization) and transformation (reflection and experiment). The paper then inquires into Schön's observation in the studio learning mode characterized as reflection-in-action. It is found that this studio is mainly dealing with the transformation dimension, and prehension dimension is either suppressed or represented by the teacher's experiences and conceptions. The paper discovers that the cause of problems raised by Habraken and Till is the inherent lack of substance in the prehension dimension. The paper assesses a studio programme in which the basic questions of built environment were systematically introduced. It analyzes the students' reactions and performance in line with students' learning styles found using Kolb's Learning Style Inventory (LSI). It suggests that the students' learning activities are more diversified than what Schön could perceive. There is a possibility to adapt students' personal experience and abstract conceptualization which may play into the studio. By enhancing diversity of learning styles rather than letting one's learning style (reflection-in-action) prevail, the studio may become a platform in which students may learn from each other.

An Investigation of the Effect of Learning Style on Student Success in an Online Learning Environment

2000 ◽  
Vol 28 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Steven R. Terrell ◽  
Laurie Dringus
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Learning Styles ◽  
Learning Style ◽  
Graduation Rate ◽  
Information Science ◽  
Demographic Data ◽  
Drop Out ◽  
Online Learning Environment ◽  
Learning Style Inventory

Ninety-eight information science students were tracked during an online masters degree program. At their initial orientation, each student completed a demographic data form and the Kolb Learning Style Inventory. Because of their major, it was hypothesized that students would fall into Kolb's Converger and Assimilator categories and these learning styles would be predictive of success in the program. Results indicated that 79.6 percent ( n = 78) of all students graduated from the program. Seventy-three students (74.5%) fell into the predicted categories and maintained an 83.6 percent ( n = 61) graduation rate. Students not falling into the predicted categories maintained a 68 percent ( n = 17) graduation rate. The implications are clear. First, the majority of students can succeed in an online learning environment regardless of their learning style. Care has to be taken, however, since a trend existed in this study for students with learning styles different from predicted to drop out in higher numbers. Institutions offering online programs should be aware of this and be prepared to address learning style issues.

Relationships between Learning Styles and Performance on Problem-Solving Tasks

1986 ◽  
Vol 59 (3) ◽  
pp. 1135-1138 ◽  
Author(s):  
Penny Armstrong ◽  
Ernest McDaniel
Keyword(s):  
College Students ◽  
Problem Solving ◽  
Learning Styles ◽  
Learning Style ◽  
Choice Point ◽  
Relevant Information ◽  
And Performance ◽  
Problem Solving Task

A computerized problem-solving task was employed to study the relationships among problem-solving behaviors and learning styles. College students made choices to find their way home in a simulated “lost in the woods” task and wrote their. reasons at each choice point. Time to read relevant information and time to make decisions were measured by the computer clock. These variables were correlated with learning style variables from Schmeck's (1977) questionnaire. The findings indicated that subjects who perceived themselves as competent learners take more time on the problem-solving task, use more information and make fewer wrong choices.

Comparison of Learning Styles between Physical Education and Dance Majors

1984 ◽  
Vol 58 (2) ◽  
pp. 583-588 ◽  
Author(s):  
Dorothy B. Zakrajsek ◽  
Rebecca L. Johnson ◽  
Diane B. Walker
Keyword(s):  
Physical Education ◽  
Learning Styles ◽  
Learning Style ◽  
T Test ◽  
Education Majors ◽  
Learning Style Inventory ◽  
Physical Education Majors

Learning styles of dance and physical education majors were described and compared. Subjects were 167 declared majors in 1982 from 9 universities (87 PE, 80 dance; 44 males, 115 females). Kolb's Learning Style Inventory which measures abstractness or concreteness and activity or reflectivity was given. By t test (.05) no significant differences in preferred learning style were found between majors or genders.

scholarly journals LEARNING STYLES

2009 ◽  
Vol 16 (02) ◽  
pp. 162-168
Author(s):  
KHALID FAROOQ DANISH ◽  
AZRA SAEED AWAN
Keyword(s):  
Medical Students ◽  
Learning Styles ◽  
Learning Style ◽  
Career Choices ◽  
Intermediate Level ◽  
Third Place ◽  
Cross Sectional ◽  
Learning Style Inventory ◽  
Medical College ◽  
Humanities Students

O b j e c t i v e s : 1. To study the prevalence of learning styles in intermediate level students in Rawalpindi according to Kolb'sLearning Style Inventory. 2. To study the correlation of learning styles with career choices of intermediate level students in Rawalpindi. 3.To compare the results of the study with the learning styles of clinical students of a medical college. D e s i g n : Cross sectional. Descriptive.M e t h o d s : The study was done on the intermediate level students of Government Colleges in Rawalpindi. It included the Pre-Medical, Pre-Engineering and Humanities students. All students were given a questionnaire based on Kolb's learning style inventory, and responsescollected. Instructions to fill the questionnaire were given verbally to all students. Each student was also instructed to present three careerchoices in order of priority. Data was collected. Results: Prevalence of different learning styles in medical students and intermediate levelstudents is shown in table-l and table-ll respectively. C o n c l u s i o n s : The prevalence and pattern of learning styles of intermediate levellearners and medical students is different. Majority of intermediate level learners have the converger learning styles in contrast with themedical students in whom accommodators are in overwhelming majority. Most learners choosing "Doctor" as their preferred career amongintermediate level learners were of assimilator style, followed by convergers. Accommodators were on third place in choosing "Doctor" aspreferred career. The most preferred career among intermediate level learner was "Teacher".

scholarly journals PENGARUH MOTIVASI BELAJAR, GAYA BELAJAR, DAN LINGKUNGAN BELAJAR PADA HASIL BELAJAR EKONOMI DI SMA NEGERI 1 WRINGINANOM GRESIK

2017 ◽  
Vol 2 (2) ◽  
pp. 142
Author(s):  
Muhammad Miftah Farid
Keyword(s):  
Linear Regression ◽  
Learning Environment ◽  
Learning Styles ◽  
Learning Outcomes ◽  
Learning Environments ◽  
Learning Style ◽  
Total Sample ◽  
Learning Motivation ◽  
Analysis Method ◽  
Regression Techniques

This study aims to analyze the influence of learning motivation, learning styles and learning environments on learning outcomes economy partially or simultaneously. The population in this study is IPS students a total of 314 people and a total sample of 153 students in SMA Negeri 1 Wringinanom Gresik. The data collection techniques used were questionnaires and documentation. Analysis method using multiple linear regression techniques. The results showed that the learning motivation, learning style and learning environment partially positive significant effect on learning outcomes. Learning motivation, learning style and the learning environment simultaneously positive significant effect on learning outcomes

Students' Learning Styles and Learning Effects

2014 ◽  
pp. 197-235
Keyword(s):  
Data Mining ◽  
High Schools ◽  
Learning Styles ◽  
Learning Style ◽  
Negative Association ◽  
Survey Result ◽  
Learning Style Inventory ◽  
Open Source Data ◽  
Source Data ◽  
Exam Scores

This chapter introduces the concept of learning style and Memletics learning style inventory, and uses open-source data mining software WEKA to cluster the students of experiment classes in four high schools according to the values of seven dimensions in the Memletics learning style inventory that are calculated based on the survey result about their learning styles. The clustering result demonstrates that verbal and physical are always positively associated with exam scores, visual dimension usually has negative association with score exams; the association of learning style with exam scores remains almost static, and the high, medium, and low sum of dimension values of learning style corresponds to high schools in developed, developing, and undeveloped area in China, respectively. The findings are analyzed. The implication of learning style for intelligent instruction of English subject as a foreign language is suggested.

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