scholarly journals Gender differences in learning styles: Nurturing a gender and style sensitive computer science classroom

2010 ◽  
Vol 26 (7) ◽  
Author(s):  
Wilfred Wing Fat Lau ◽  
Allan Hoi Kau Yuen
Keyword(s):  
Learning Styles ◽  
Computer Science ◽  
Learning Style ◽  
Computer Programming ◽  
Computer Anxiety ◽  
Science Classroom ◽  
Pedagogical Practices ◽  
Science Field ◽  
Gregorc Style Delineator ◽  
Number Of Factors

<span>The gender digital divide has been widely discussed and researched over the years. Previous studies have focused on a number of factors such as computer attitude, computer anxiety, computer self-efficacy, and computer experience. This study empirically tested the sensitivity of a learning style instrument, the </span><em>Gregorc Style Delineator</em><span> (GSD), to gender in a sample of students who studied computer programming in Hong Kong secondary schools. Results indicated that females had higher preference for concrete sequential (CS) and abstract random (AR) compared with males. Males had higher preference for concrete random (CR) than females. From these results, we proposed learning style-based pedagogical practices to teach computer programming. In order to address the needs of female students, we further proposed that learning style-based pedagogical practices need to move from a gender neutral to gender sensitive approach. This proposal helps to improve student learning through individualisation in pedagogy in terms of gender and learning styles and contributes to a gender and style sensitive computer science classroom. Eventually, through various remedial interventions, we anticipate more female participation in computer science field and hence the gender issue is addressed.</span>

scholarly journals The Relationship between Computer Anxiety and Learning Styles(Sensory-intuitive and Verbal-visual) among Persian University Students

2019 ◽  
Vol 22 (1) ◽  
pp. 52-62
Author(s):  
Vahid R. Mirzaeian ◽  
Hamedreza Kohzadi
Keyword(s):  
Learning Styles ◽  
University Students ◽  
Learning Style ◽  
Significant Relationship ◽  
Computer Anxiety ◽  
Visual Learning ◽  
Verbal Learning ◽  
Frequency Standard ◽  
First Year ◽  
And Gender

This study was conducted in central Iran among all first-year university students studying engineering courses at Arak University of Technology. All students (No = 310) were included in this study. Instruments used mostly consisted of a computer anxiety questionnaire plus a learning style questionnaire. The data was analyzed by both descriptive and inferential statistics (Mean, Frequency, Standard Deviations, Independent T-test as well as Point Biserial Correlation Coefficient). The results indicated that there was a statistically significant relationship between computer anxiety and sensory-intuitive learning styles, in that the students having sensory learning style suffered from computer anxiety more frequently than the student having intuitive learning styles. In addition, there was a statistically significant relationship between computer anxiety and verbal-visual learning style, given that the students having visual learning style suffered from computer anxiety more than the students having verbal learning style. No statistically significant relationship, however, was found between computer anxiety and gender.

scholarly journals Evaluación comparativa de los resultados de la aplicación del cuestionario del estilo de aprendizaje Honey-Alonso a estudiantes del área de las ciencias computacionales

2020 ◽  
pp. 32-40
Author(s):  
Abraham Esquivel-Salas ◽  
Verenice Ábila-Aguilar ◽  
María del Refugio Molina-Wong ◽  
Manuel Ignacio Salas-Guzmán
Keyword(s):  
Higher Education ◽  
Learning Styles ◽  
Sample Size ◽  
Computer Science ◽  
Learning Style ◽  
Comparative Evaluation ◽  
Career Path ◽  
Learning Motivation ◽  
Science Area ◽  
Professional Studies

In this article a first approach was made about the tracking of a student’s learning styles preferences along their higher education. The investigation was applied to students of the Computer Science area, through a comparative evaluation of the Honey-Alonso Learning Styles Questionnaire to selected students, in three moments of their career path. In a first instance, the results show a change in the learning style of the students, later an analysis provides the nature of that change. The study presents the sample size as a limitation, because the tests had to be applied to the selected students and at different times of their professional studies. The interest for get knowledge about learning styles, aims to increasing the comprehension about how the students learn, and in the possibility of developing tools that allow, as far as possible, increasing the learning motivation and personalization.

scholarly journals GAYA BELAJAR DAN MOTIVASI BELAJAR DALAM PENINGKATAN HASIL BELAJAR SISWA MENENGAH ATAS

2006 ◽  
Vol 13 (VII) ◽  
pp. 69-75
Author(s):  
Tafiardi Tafiardi
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Instructional Methods ◽  
Learning Motivation ◽  
Learning Achievement ◽  
Instructional Process ◽  
Number Of Factors ◽  
Two Factors

There are a number of factors influenced the student’s learning achievement. Two of them are learning style and learning motivation. This article describes how the two factors affect the learning achievement and how the teacher should consider each of them in instructional process. Acknowledging the different learning styles and motivations of the students, the teachers are expected to use variety of instructional methods and media that will meet the students’ characteristics. To do this, this article presents a list if suggestions.

scholarly journals Analysing the relationship between learning styles and navigation behaviour in web-based educational system

2010 ◽  
pp. 400-421 ◽  
Keyword(s):  
Learning Styles ◽  
Computer Science ◽  
Learning Style ◽  
Web Based ◽  
Learning Platform ◽  
Web Based Learning ◽  
Index Of Learning Styles ◽  
Type Indicator ◽  
E Learning ◽  
The Relationship

The aim of our research is to automatically deduce the learning style from the analysis of browsing behaviour. To find how to deduce the learning style, we are investigating, in this paper, the relationships between the learner’s navigation behaviour and his/her learning style in web-based learning. To explore this relation, we carried out an experiment with 27 students of computer science at the engineering school (ESI-Algeria). The students used a hypermedia course on an e-learning platform. The learners’ navigation behaviour is evaluated using a navigation type indicator that we propose and calculate based on trace analysis. The findings are presented with regard to the learning styles measured using the Index of Learning Styles by (Felder and Solomon 1996). We conclude with a discussion of these results.

scholarly journals Implementasi Jaringan Syaraf Tiruan untuk Menentukan Kepribadian Mahasiswa Menggunakan Algoritma Perceptron

2020 ◽  
Vol 11 (1) ◽  
pp. 144-158
Author(s):  
Lucky Lhaura Van FC ◽  
Fajrizal Fajrizal ◽  
Lisnawita Lisnawita
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Learning Styles ◽  
Computer Science ◽  
Learning Style ◽  
Positive Impact ◽  
Personality Types ◽  
Good Relationship ◽  
Surrounding Environment ◽  
The Right

Setiap orang yang mempunyai kepribadian sesuai dengan lingkungan sekitarnya agar terjalin hubungan yang baik. Pada lingkungan Fakultas Ilmu Komputer Universitas Lancang Kuning, peneliti melakukan evaluasi akademik ketika melakukan pengajaran ada beberapa kelompok mahasiswa dengan gaya belajar yang berbeda , beberapa mahasiswa sulit aktif didalam kelas, mengenai gaya belajar ini sudah pernah kita lakukan penelitiannya, ternyata gaya belajar mempunyai korelasi dengan kepribadian mahasiswa dimana terciptanya hubungan yang baik antar dosen dan mahasiswa akan memberikan dampak yang positif karena mahasiswa tidak akan malas lagi untuk mengikuti materi yang di ambil  mahasiswa tersebut dan dosen juga dapat menentukan cara mengajar yang tepat berdasarkan kepribadian mahasiswa tersebut. 4 tipe kepribadian mahasiswa yaitu guardian, artisan, idealist dan rational. Dalam penelitian ini ada 30 orang responden yang harus mengisi kuisioner. Kemudian diolah komputerisasi yang berbasis JST algoritma Perceptron.. Hasil dari penelitian adalah 5 mahasiswa dengan kepribadian Guardian, 11 Artisan, 11 Idealist dan 3 Mahasiswa  Rational. Kata Kunci : Jaringan Syaraf Tiruan, Tipe Kepribadian, Perceptron   Abstract             Every person who has a personality following the surrounding environment to establish a good relationship. In the environment of the Faculty of Computer Science,Universitas Lancang Kuning, researchers conduct academic evaluations when conducting teaching there are several groups of students with different learning styles, some students find it difficult to be active in class, about this learning style we have already done the research, it turns out learning styles have a correlation with personality students where the creation of a good relationship between lecturers and students will have a positive impact because students will no longer be lazy to follow the material taken by the student and the lecturer can also determine the right way of teaching based on the student's personality. The 4 personality types of students are guardian, artisan, idealist and rational. In this study, 30 respondents had to fill out a questionnaire. Then computerized based on the ANN algorithm Perceptron. The results of the study were 5 students with Guardian personalities, 11 Artisan, 11 Idealist and 3 Rational Students   Keywords : Artificial Neural Networks, Personality Types , Perceptron

Learning Style and Personality Type

1992 ◽  
Vol 75 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Robert J. Drummond ◽  
Ann H. Stoddard
Keyword(s):  
Learning Styles ◽  
Construct Validity ◽  
Learning Style ◽  
Undergraduate Students ◽  
Personality Type ◽  
Myers Briggs Type Indicator ◽  
Gregorc Style Delineator ◽  
Type Indicator ◽  
Myers Briggs

To investigate the relations between the Myers-Briggs Type Indicator and the Gregorc Style Delineator and to examine the construct validity of the Style Delineator, 41 undergraduate students preparing to be teachers were given both tests. Observed differences in learning styles by personality type partially support the construct validity of the Style Delineator. Judging individuals ( n = 25) tended to perceive themselves as concrete sequential thinkers as opposed to perceptive individuals ( n = 16) who thought of themselves as concrete random thinkers. Feeling types ( n = 29) tended to prefer random modes of thinking.

scholarly journals Unified Model for Learning Style Recommendation

2021 ◽  
Author(s):  
Unhawa Ninrutsirikun ◽  
Debajyoti Pal ◽  
Chonlameth Arpnikanondtand ◽  
Bunthit Watanapa
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Association Rules ◽  
Computer Programming ◽  
Learning Preferences ◽  
Learning Performance ◽  
Moderation Effect ◽  
Moderation Analysis ◽  
Study Association ◽  
Formative Learning

Studying computer programming requires not only an understanding of theories and concepts but also coding adeptness. Success in studying or conducting such a course is definitely a challenge. This paper proposes a systematic learning style recommendation. The model is designed to evaluate students’ attributes and ongoing or formative learning outcomes for suggesting the effective style-fit strategy that facilitates learners to enhance their learning performances in terms of knowledge and skill. A two-stage association analysis was designed and conducted on a dataset collected from IT major students who enrolled in the Introduction to Computer Programming course. The first stage of association rules is to analyze and discover important relationships amongst learning styles, students’ attribute, and learning performance. The second stage of moderation analysis is then applied to probe the moderation effect of the different learning preferences on the relationship between student attributes and learning achievement. Experiments expose many insights, for example, mathematics and logical thinking are powerful assets of success in computer programming study. Association rules can effectively identify associations of learning styles and the learning performance in terms of knowledge or skills. By moderation analysis, students in the “Excellent” cluster have a broad learning style than other students. Two types of significant moderators, the universal and specific, exemplify how lecturers can flexibly post style-fit teaching strategies for a class-wide and specific group, respectively.

HUBUNGAN GAYA BELAJAR SISWA TERHADAP ASPEK PENGETAHUAN SISWA PADA MATA PELAJARAN SISTEM KOMPUTER DI SMK IT RAHMATAN KARIMAH BENGKULU TENGAH

2020 ◽  
Vol 1 (01) ◽  
pp. 13-20
Author(s):  
Dian Saputra
Keyword(s):  
Learning Styles ◽  
Computer System ◽  
Learning Style ◽  
Descriptive Analysis ◽  
Visual Learning ◽  
Auditory Learning ◽  
Analysis Techniques ◽  
Post Test ◽  
The Subject ◽  
The Relationship

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

The Effect of Teaching Strategies and Learning Styles on the Students’ Achievement

2014 ◽  
Vol 11 (2) ◽  
Author(s):  
Teguh Satria Amin ◽  
Eddi Setia ◽  
Lince Sihombing
Keyword(s):  
Reading Comprehension ◽  
Learning Styles ◽  
Learning Style ◽  
Teaching Strategies ◽  
Sampling Technique ◽  
Reflective Learning ◽  
Direct Reading ◽  
Group 2 ◽  
Experimental Group ◽  
Cluster Random Sampling

This research investigates 1) students’ achievement in reading comprehension taught by using Direct Reading Thinking Activity (DR-TA) strategy is higher than taught by using Know, What to Learn, and Learned (KWL) strategy, 2) students’ achievement in reading comprehension with impulsive learning style is higher than students’ achievement in reading comprehension with reflective learning style, and (3) there is  interaction between teaching strategies and learning styles on the students’ achievement. Two classes containing of 70 students were chosen as sample by apllying cluster random sampling technique. The experimental group 1 was treated by using DR-TA and the experimental group 2 was treated by using KWL. The students’ achievement was measured by using test. The questionnaire was conducted to find out the students’ learning style. The data were analyzed by applying two-ways analysis of variance. The findings show that (1) the students’ achievement in reading comprehension taught by using DR-TA higher than using KWL; (2) students’ achievement in reading comprehension with impulsive learning style is lower than that with reflective learning style; (3) there is interaction between teaching strategies and learning styles on the students’ achievement in reading comprehension. The analysis revealed that the teaching strategies significantly affected the students’ reading achievement.   Keywords: DR-TA, KWL, Impulsive Learning Style, Reflective Learning Style, Reading Comprehension

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