scholarly journals The Relationship between Learning Style and Quantitative/Qualitative Information Recall Performance

Author(s):  
A.B.M. Abdullah ◽  
Jerry Ligon

This study examined the ability of individuals to recall qualitative or quantitative information contained in reading passages. The subjects’ scores on the Kolb Learning Style Inventory (KLSI) were analyzed to determine if an individual’s learning style preference affected his/her information recall performance. Demographic variables, including age, sex, grade level, employment status and length, and ethnicity were also included in the analysis. One-way ANOVA analysis was conducted to test two proposed hypotheses. Results indicated that there was significant relationship between individuals learning styles and their ability to recall qualitative information. However, for the quantitative information the results were inconclusive. Regression analysis also indicated that there was a significant relationship between the type of information recalled and recall performance. In addition to information type (qualitative/quantitative), the abstract-to-concrete AC-CE dimension score of the KLSI was also found to have significant impact on information recall performance.    

1991 ◽  
Vol 73 (1) ◽  
pp. 265-266 ◽  
Author(s):  
Edmund J. Boyle ◽  
Marshall A. Geiger ◽  
Jeffrey K. Pinto

A great deal of research has examined students' preferred learning styles as measured by Kolb's 1985 Learning Style Inventory, but little effort has been made to test the covariate effects of other individual psychological facets, such as creativity, on preferred learning style. For a sample of 84 college undergraduates, the relationship between learning style and Raudsepp's problem-solving creativity scale was observed not to covary.


2020 ◽  
Vol 62 (7/8) ◽  
pp. 863-876
Author(s):  
Elma Van der Lingen ◽  
Bjørn Willy Åmo ◽  
Inger Beate Pettersen

PurposeEntrepreneurship is a process of learning. The entrepreneurial learning process incorporates a cumulative series of multifaceted entrepreneurial experiences, which generally involve the development of new insights and behaviours. This study aimed to determine whether entrepreneurial experience has an influence on the preferred learning styles of students. The study also investigated the appropriateness of the Reduced Kolb Learning Style Inventory as a measuring instrument.Design/methodology/approachThe study was conducted on 586 male and 690 female students from South Africa (n = 1042) and Norway (n = 244). The Reduced Kolb Learning Style Inventory, making use of principal correspondence analysis, was used to determine the preferred learning styles, while the students' level of entrepreneurial experience was captured by items addressing prior entrepreneurial experience.FindingsThe analysis revealed a simpler measure of students' preferred learning styles, comprising a total of 12 items with three items per learning style. The study revealed that the preferred learning style was more important for students who had entrepreneurial experience than for those with less entrepreneurial experience. If students with entrepreneurial experience have stronger concerns for how they learn, it contributes to the understanding of the content of entrepreneurial learning.Originality/valueA modified Reduced Kolb Learning Style Inventory resulted in a concise instrument measuring students' preferred learning style in adherence to Kolb's work and evidenced its usefulness. This study contributes to a field that has been under-researched, related to the association between students' past and current entrepreneurial experience and their learning style preference, and aims to bridge the two research fields. This research explores these links and points to how these insights could inform entrepreneurship education.


2018 ◽  
Vol 37 (1) ◽  
pp. 79
Author(s):  
Stanislava Olić ◽  
Jasna Adamov

This research aimed to determine the chemical content which is the most challenging for students, and also to study the differences in chemistry achievement among students who prefer different learning styles. The study was carried out on the sample of 265 second grade students (aged 15–16 years) from seven grammar schools in Vojvodina (Serbia). Two instruments were applied in the study to determine the learning styles: chemistry knowledge test and Learning Style Inventory (LSI version 3.1). According to the findings, students have difficulty learning the contents of the topics Chemical Equilibrium, Salt Hydrolysis and Oxidation-Reduction Reactions. The findings show that there is a significant relationship between achievements in chemistry and students’ learning styles. The findings obtained in this research represent a step towards improving chemistry education since they identified the topics that students find it the most difficult to learn.


2001 ◽  
Vol 27 (3) ◽  
Author(s):  
M. J. Viljoen ◽  
J. M. Schepers ◽  
K. Van Zyl

Various authors have indicated the need for and value of identifying the learning style preferences of individual learners. Similar needs have been voiced in the South African context.The focal point of this study was the development of a normative instrument for predicting the preferred learning styles of individuals. Secondary aims were to determine whether there are differences between groups formed on the basis of gender, academic qualifications and functional disciplines as far as their learning style preferences are concerned. Based on a review of the literature and an existing questionnaire, namely the Learning Style Inventory (LSI 85), the Learning Style Preference Questionnaire (LSPQ) consisting of 136 items was developed and administered to respondents (N= 542) in a large organisation. The LSPQ was subjected to a principal factor analysis and six factors were obtained.The six factors were rotated to simple structure by means of the Direct Oblimin procedure. The matrix of intercorrelations of the six factorswas subjected to a second-order factor analysis and yielded a single factor. Opsomming Verskeie outeurs het na die behoefte aan asook die waarde van identi¢kasie van leerstylvoorkeure van individuele leerders verwys. Soortgelyke behoeftes is ook in Suid-Afrikaanse verband geopper.Die fokus van hierdie studie was die ontwikkeling van ’n normatiewe instrument om die leerstylvoorkeure van individue te meet. Sekondere doelwitte was omte bepaal of daar verskille tussen groepe is wat saamgestel is op grond van geslag, akademiese kwalifikasies en funksionele dissiplines wat hul leerstylvoorkeure betref. Gegrond op ’n oorsig van die literatuur en ’n bestaande vraelys, tewete die ‘‘Learning Style Inventory’’ (LSI 85), is die ‘‘Learning Style PreferenceQuestionnaire‘‘ (LSPQ), bestaande uit 136 items, gekonstrueer en op 542 respondente in’n groot organisasie toegepas. Die LSPQ is aan ’n hoo¡aktorontleding onderwerp en ses faktore is verkry. Die ses faktore is deur middel van die Direct Oblimin-prosedure na eenvoudige struktuur geroteer.


2021 ◽  
Vol 6 (1) ◽  
pp. 9-15
Author(s):  
Nurul Citra Pratiwi ◽  
Soeprijanto ◽  
Faried Wadjdi

As purposes of this research are to know: 1) The closeness of the relationship between learning style with learning achievement; 2) The closeness of the relationship between learning motivation with learning achievement; 3) The closeness of the relationship between learning style and learning motivation with learning achievement of Electrical Engineering Education Students at Jakarta State University. In this research using a survey method with a quantitative approach. The population in this research are Electrical Engineering Education at Jakarta State University with an affordable population of Electrical Engineering Students at Jakarta State University in 2017 with a sample of 70 students. The analy sis data techniques use descriptive statistical techniques, correlation hypothesis testing, simple regression tests, multiple regression tests that were previously performed prerequisite tests of analysis using the normality test and linearity test. The result showed that the result of the hypothesis test analysis with a significant level of 5% showed that there was a positive and significant relationship between learning style with learning achievement test result rcount = 0,56>rtable 0,235 with tcount of 5,57%>ttable  1,995 then the results of analysis of students learning styles produce dominant learning styles owned by students are the kinesthetic style by 38,571%, the visual style by 28,571%, the visual-kinesthetic styleby 22,857%, the auditory and visual-auditory by 4,286% and the least auditory-kinesthetic style by 1,429%; then there is a positive and significant relationship between learning motivation with learning achievement test result rcount = 0,503>rtable 0,235 with tcount of 4,8>ttable 1,995; and there is a positive and significant relationship between learning styles and learning motivation together with learning achievement Rcount = 0,606>Rtabel 0,235 with Fcount 19,44>Ftabel 3,31.   Abstrak Penelitian ini bertujuan untuk mengetahui: 1) Keeratan hubungan antara gaya belajar dengan prestasi belajar; 2) Keeratan hubungan antara motivasi belajar dengan prestasi belajar; 3) Keeratan hubungan gaya belajar dan motivasi belajar secara bersama-sama dengan prestasi belajar mahasiswa Pendidikan Teknik Elektro Universitas Negeri Jakarta. Pada penelitian ini menggunakan metode survey dengan pendekatan kuantitatif. Populasi dalam penelitian adalah mahasiswa Pendidikan Teknik Elektro Universitas Negeri Jakarta dengan populasi terjangkau mahasiswa Pendidikan Teknik Elektro Universitas Negeri Jakarta angkatan tahun 2017 dengan sampel sebanyak 70 mahasiswa. Teknik analisis data yang digunakan teknik statistika deskriptif, uji hipotesis korelasi, uji regresi sederhana, uji regresi ganda yang sebelumnya dilakukan uji prasyarat analisis menggunakan uji normalitas dan uji linieritas. Hasil penelitian menunjukkan bahwa, hasil analisi uji hipotesis dengan taraf signifikan 5% menunjukkan terdapat hubungan yang positif dan signifikan antara gaya belajar dengan prestasi belajar hasil pengujian rhitung = 0,56 > rtabel = 0,235 dengan thitung sebesar 5,57 > ttabel 1,995 kemudian hasil analisis gaya belajar mahasiswa menghasilkan gaya belajar dominan yang dimiliki mahasiswa yaitu gaya kinestetik sebesar 38,571%, gaya visual sebesar 28,571%, gaya visual-kinestetik sebesar 22,857%, gaya auditorial dan visual-auditorial sebesar 4,286% dan yang paling sedikit gaya auditorial-kinestetik 1,429%; hipotesis selanjutnya terdapat hubungan yang positif dan signifikan antara motivasi belajar dengan prestasi belajar hasil pengujian rhitung = 0,503 > rtabel = 0,235 dengan thitung sebesar 4,8 > ttabel  1,995 ; dan terdapat hubungan yang positif dan signifikan antara gaya belajar dan motivasi belajar secara bersama-sama dengan prestasi belajar hasil pengujian Rhitung = 0,606 > Rtabel = 0,235 dengan Fhitung 1,44 > Ftabel 19,44.


1991 ◽  
Vol 69 (3) ◽  
pp. 755-762 ◽  
Author(s):  
Marshall A. Geiger ◽  
Jeffrey K. Pinto

Kolb's (1985) Learning Style Inventory and theories of learning preferences have stimulated much research and theory construction. A number of researchers have argued that, as students move through their college careers, their learning styles are likely to change significantly. This paper reports on the completion of a three-year study to assess the actual extent of change that occurred in a sample of college students. Our results offer mixed support for the proposition that students' learning styles change during the college experience.


2019 ◽  
Vol 4 (1) ◽  
pp. 249
Author(s):  
Meliyani Meliyani ◽  
Rahmawati Darussyamsu ◽  
Relsas Yogica ◽  
Ramadhan Sumarmin

Learning styles are a combination of absorbing, regulating, and processing learning by students. There are three types of learning styles namely visual learning styles, auditory and kinesthetic. Based on the results of observations that the authors did at senior high school 7 Padang, it was revealed that the teacher still did not practice the relationship between the learning styles of students in their learning. This can lead to the learning styles are not synchronized with learning models, methods and media applied by teachers so that students' cognitive competency become low. The purpose of this study was to determine the relationship between learning styles and cognitive competency of students. This research is a descriptive research. This study uses a correlation study approach, namely the independent variable in the form of student learning styles and the dependent variable in the form of cognitive competency of students.To find out the relationship between variables stated with correlation coefficients used the Spearman-Rank correlation formula.Based on the research that has been done, it is found that the relationship between learning styles and cognitive competency of students does not mean and the correlation value is in the category of very weak to moderate. In the visual learning style for the second daily test there is a significant relationship and the correlation value is 0.75 with a strong correlation category. The conclusion of this study is that there is no significant relationship between learning styles and learners' cognitive competency.


Retos ◽  
2016 ◽  
pp. 62-67
Author(s):  
Jaime Serra-Olivares ◽  
Carlos Leonel Muñoz Valverde ◽  
Consuelo Cejudo Armero ◽  
Pedro Gil Madrona

Se analizó la relación entre los estilos de aprendizaje y el rendimiento académico de los estudiantes universitarios de Educación Física de la Universidad Católica de Temuco en Chile 2015/16 (n = 122). Los participantes completaron el cuestionario CHAEA-36 y se analizaron los datos en función del curso, la edad y el género. Los hallazgos demostraron la predominancia, principalmente, de los estilos de aprendizaje combinado (56%) y activo (21%). No se observó relación significativa entre los estilos de aprendizaje y el curso (χ² = 14.324; p =.575), y tampoco la edad (χ² = 14.324; p =.575). Sin embargo, el análisis inferencial demostró una relación significativa entre los estilos de aprendizaje y el género (χ² = 11.257; p =.024). Por último, los estudiantes con un estilo de aprendizaje activo demostraron un rendimiento académico significativamente inferior que sus compañeros con estilos de aprendizaje pragmático (F = 9.517; p = .011) y combinado (F = 14.625; p = .013). No se observaron diferencias significativas en el resto de comparaciones. Estos hallazgos determinan la importancia de atender a los procesos de formación inicial docente desde una perspectiva flexible, adaptada al contexto sociocultural y educativo de los aprendices. En este sentido, se necesitan nuevos estudios de investigación que analicen la relación entre los estilos de aprendizaje y el rendimiento académico, principalmente desde la perspectiva de género.Abstract: The relationship between learning styles and academic performance of physical education students at the Temuco Catholic University 2015/16 was analysed (n = 122). Participants completed the CHAEA-36 questionnaire and data were analysed by academic year, age and gender. The findings showed a predominance of a combined style of learning (56%) and the active learning style (21%). No significant relationship between learning styles and academic year (χ² = 14.324; p =.575) nor age (χ² = 14.324; p =.575) were observed. However, the inferential analysis showed a significant relationship between learning styles and gender (χ² = 11.257; p =.024). Finally, students with an active learning style demonstrated significantly lower academic performance than their peers using pragmatic (F = 9.517; p = .011) and combined (F = 14.625; p = .013) learning styles. No other significant differences were observed. These findings show the importance of approaching teachers basic training from a flexible perspective, adapting it to learners’ cultural and educational context. In this sense, new research studies that analyse the relationship between learning styles and academic performance, mainly from the gender perspective, are needed.


2020 ◽  
Vol 1 (01) ◽  
pp. 13-20
Author(s):  
Dian Saputra

This study aims to find out the relationship between learning style and students’ knowledge aspect on Computer System Subject at SMK IT Rahmatan Karimah of  Central Bengkulu, the type of research is quantitative and the subject of research is grade X in SMK IT Rahmatan Karimah of  Central Bengkulu. Data collection techniques using observation, Questionnaire and documentation. Data analysis techniques used were Descriptive Analysis, and inferential Statistical Analysis. The results of visual learning style post-test were 11 people with a mean of 76.36, an auditory learning style of 8 people at a mean of 62.14, a kinesthetic learning style of 3 people at a mean of 50.33, apart from that (r x y = 2.35) and the magnitude of r is reflected in the table (r table = 0.4132). Then rxy > r table ie = 2.35> 0.4132. In other words, Ho is rejected and Ha is accepted. It has a significant relationship between the learning styles of students and students’ knowledge aspect on Computer System Subject of grade X TKJ in SMK IT Rahmatan Karimah of  Central Bengkulu


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