Validity of index of learning styles scores: multitrait−multimethod comparison with three cognitive / learning style instruments

2006 ◽  
Vol 40 (9) ◽  
pp. 900-907 ◽  
Author(s):  
David A Cook ◽  
Alan J Smith
2018 ◽  
Vol 8 (2) ◽  
pp. 37 ◽  
Author(s):  
Prayekti

Students of Open University are strongly required to be able to study independently. They rely heavily on the cognitive learning styles that they have in attempt to get maximum scores in every final exam. The participants of this research were students in the Physics Education program taking Thermodynamic subject course. The research analysis employed a two-way ANOVA statistical analysis with the following findings. First, the significance value of the students’ cognitive learning styles variable equals to 0,000 < α =5%, so it was concluded that the students’ cognitive learning styles strongly influenced their learning outcomes in Thermodynamic Science course manifested in the form of either dependent or independent cognitive styles. Second, the students’ learning independence variable turned out to be not having any significant relationship with the students’ learning outcomes in Thermodynamic. The learning independence variable had no significant influence on the students’ learning outcomes with the level of significance of dependent cognitive style 0.007 < α =5%, so it was concluded that the dependent cognitive learning style influenced the learning outcomes, and the learning independence as well as cognitive learning styles, especially the dependent type, altogether influenced the students’ learning outcomes in Thermodynamic. The learning independence variable significantly had no influence on the learning outcomes, with 0.007 < α =5% meaning that the dependent cognitive learning style strongly influenced the learning outcomes.


K ta Kita ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 64-70
Author(s):  
Febe Widarma

This study identifed male and female’s cognitive learning styles and found out the differences and similarities the cognitive learning styles between male and female students in grade 10 of “X”school in Surabaya. There were twenty six students in Natural Science class (X-IPA1). The main theory for this study is from Ehrman (1996) about Cognitive Learning Styles. The method was mixed-methods. The researcher distributed questionnaires adapted from Ehrman and Leaver (2002b) ind interview to the students in order to know their cognitive learning styles. The findings showed that male students were concrete and female students were analog learners. Additionally, the finding also showed that the male and female students had five similarities and five differences. English teachers will be easier to conduct classroom activites based on the findings of male and female students’ cognitive learning styles. Key words: Cognitive learning styles, learning style, gender


2015 ◽  
Vol 76 (4) ◽  
pp. 450-468
Author(s):  
Amanda Rinehart ◽  
Jennifer Sharkey ◽  
Chad Kahl

Do librarians with different characteristics, such as type of work responsibilities or age, have different learning styles? The authors analyzed results from over 1,500 responses to a version of the Index of Learning Styles (ILS) questionnaire based on the Felder-Silverman Learning Styles model. This model consists of eight dimensions paired on four scales: Active/Reflective; Sensing/Intuitive; Visual/Verbal; and Sequential/Global. In addition to their scores on the ILS questionnaire, respondents were also asked about demographic and professional characteristics. Statistically significant differences in learning style scores were found to exist between librarians with different types of position responsibilities. In particular, for three out of four scales, catalogers have statistically different learning styles than other librarian groups. Recognition of different learning styles and thoughtful integration of appropriate teaching styles may improve workplace interpersonal communication, enhance professional development and staff training, and strengthen teaching.


2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Leny Hartati

<p>This study aims to determine the effect of learning styles and attitudes of <br />students in math on math learning outcomes. The method used is the method Expose Facto. The study sample drawn from a population with affordable proportional random technique, as many as 60 students. The instrument used in this study is a questionnaire instrument to measure learning style variables and variable attitudes of students in math, and test instruments, to measure the outcomes of learning mathematics. The research design used in this study is a 3 x 2 factorial design with three variables consisting of two independent variables, namely cognitive learning styles and attitudes of students in math, as well as the dependent variable, which is the result of learning mathematics. From the <br />data processing obtained the following results: (1) There are differences in mathematics learning outcomes of students who have a visual learning style, auditory and kinesthetic. It is in the show by the price of the F - count of 2,494 with a probability of 0.047 sig (sig &lt; 0.05) at significance level ? = 5 %. (2) The results of the mathematical learning of students who have a positive attitude at a higher math than students who have a negative attitude on math. It is in the show by the price of the F - count of 3,124 with a probability <br />of 0.018 sig (sig &lt; 0.05) at significance level. (3) There is no interaction between the learning styles of students in math attitudes toward math learning outcomes. It is in the show by the price of the F - calculated interaction probability value was 1.621 while sig. for interaction (learning styles * attitude of students in math) of 0.140 (sig &gt; 0.05). </p>


2021 ◽  
Vol 33 (4) ◽  
pp. 405-409
Author(s):  
Su Jin Chae

Purpose: The purpose of this study was to examine the differences in the medical students’ satisfaction on online flipped learning by the learning style.Methods: A total of 42 second-year medical students were participated in this study. As study tools, Felder and Soloman’s Index of Learning Styles and the Korean Educational Development Institute’s National Assessment of Student Engagement in Learning were utilized. Data analysis was conducted with the Kruskal-Wallis test, a nonparametric statistical method.Results: Results showed that there were statistically significant differences within active–reflective types and sensing–intuitive types. The active–reflective type has been shown to have statistically significant differences for the three effects of learning, such as problem solving and understanding, active participation, and self-directed learning attitudes. For sensing–intuitive type, active participation showed a significant difference from other effects of learning.Conclusion: The learning style is an important concept in understanding the diverse ways in which students process and absorb new information. Hence research is needed to conduct successful small group activities through online. In the future, it is necessary to find the factors that can lead to successful online classes in medical schools.


2017 ◽  
Vol 11 (1) ◽  
pp. 109-119 ◽  
Author(s):  
Esam Omar

Purpose: Dental extraction is a routine part of clinical dental practice. For this reason, understanding the way how students’ extraction knowledge and skills development are important. Problem Statement and Objectives: To date, there is no accredited statement about the most effective method for the teaching of exodontia to dental students. Students have different abilities and preferences regarding how they learn and process information. This is defined as learning style. In this study, the effectiveness of active learning in the teaching of preclinical oral surgery was examined. The personality type of the groups involved in this study was determined, and the possible effect of personality type on learning style was investigated. Method: This study was undertaken over five years from 2011 to 2015. The sample consisted of 115 students and eight staff members. Questionnaires were submitted by 68 students and all eight staff members involved. Three measures were used in the study: The Index of Learning Styles (Felder and Soloman, 1991), the Myers-Briggs Type Indicator (MBTI), and the styles of learning typology (Grasha and Hruska-Riechmann). Results and Discussion: Findings indicated that demonstration and minimal clinical exposure give students personal validation. Frequent feedback on their work is strongly indicated to build the cognitive, psychomotor, and interpersonal skills needed from preclinical oral surgery courses. Conclusion: Small group cooperative active learning in the form of demonstration and minimal clinical exposure that gives frequent feedback and students’ personal validation on their work is strongly indicated to build the skills needed for preclinical oral surgery courses.


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