Learning Style Data Research Articles

Ambient Music Dalam Pembelajaran (Studi Eksperimen Terhadap Konsentrasi Dan Hasil Belajar Mahasiswa Pada Mata Kuliah Genetika)

The purpose of this research is to determine the influence of ambient music on the concentration levels and learning outcomes of students with an auditory learning style in the genetics course. This study is quasi experimental research using a monomethod Multistrand Design with sequential data collection. The first stage of data collection was conducted to obtain data on auditory learning styles in students, which were later divided into two groups (experimental and control). The sampling technique in this study was done randomly. Based on the Slovin formula, the research sample size was determined to be 77 participants for collecting learning style data. Subsequently, from the 77 participants, 26 students with an auditory learning style were identified. Data were collected using a learning style questionnaire, the Army Alpha Intelligence Test, and exams. Based on hypothesis testing using the t-test, the concentration level of student learning showed a Sig. (2-tailed) t-test value of 0.023, and the student learning outcomes showed a Sig. (2-tailed) t-test value of 0.035, both <0.05. The results of the study indicate that the provision of ambient music in learning can have a positive impact on the concentration levels and learning outcomes of students in the genetics course.

Integration of Gamified Elements and Learning Style Data in Online Learning System

The increase in usage of Online Learning systems has provided a challenge to deliver e-contents based on user needs. This study uses learning style data to determine the learning profile and provide the content based on the user's needs, whereas gamified elements are used to increase user engagement. The combination of these two approaches would eventually increase the overall user motivation and interest in the platform. The model developed is used to predict the Learning Style (LS) preference by analyzing the activity data obtained from the student interaction in the course. Further, clustering is done to determine the LS preference of the user in the system. Content is designed based on user's learning styles and preferences and uploaded to the platform. Data were collected through surveys after the end of the course to measure students’ perception of the three variables: motivation, learning satisfaction, and learning outcomes. The findings from the study suggest that the students showed high motivation, positive learning outcomes, and satisfaction with the developed contents.

Analysis of learning styles in terms of knowledge, skills and attitudes

The purpose of this study is to determine the domains of knowledge, skills and attitudes of students which are dominantly influenced by learning styles. The approach used is quantitative research with a correlation method in the form of a survey on 71 high school students in the Aceh Tengah area. The data collection instrument used a questionnaire for learning style data and documentation study for student learning outcomes data. The results of data analysis using descriptive and inferential statistics show that there is a significant relationship between learning styles and knowledge, skills and attitudes with an average contribution of 17.67%, 14.77% and 72.4% respectively. Based on the types of learning styles selected in this study, the visual learning style is more highly related to students' knowledge, skills and attitudes. The conclusion from the results of this study is that teachers as educators need to know and understand the characteristics of each student's learning style, so as to be able to place students in the right position during the learning process.

Hubungan Antara Gaya Belajar Dengan Kemampuan Kognitif Matematika Pada Materi Lingkaran di SMP Negeri 2 Limboto

This research is survey research using correlation techniques whics aims to determine the correlation between learning styles and cognitive ability on circle material. This research was conducted at grade VIII students of Junior High School SMP Negeri 2 Limboto, Gorontalo regency, 2017/2018 academic year with a sample of 119 students. Data collection techniques were carried out using questionnaires and test. The questionnaire is to obtain learning style data, while the test is to obtain students’ cognitive ability data on circle material. Further, the hypothesis is tested using regression and correlation analysis. Based on the results of data analysis, it is shown that there was a positive correlation between learning styles and cognitive ability on circle material at grade VIII of Junior High School SMP Negeri 2 Limboto, Gorontalo regency. The contribution of learning styles given to students’ cognitive ability on circle material is 9.14%. This value shows the influence given by the learning style of students’ cognitive ability. The result provides information that the lack of selecting and understanding of each student’s learning style influences the level of cognitive abilities, especially on circle material even though the contribution is given is 9.14%.

Arab and Malay Students’ Attitudes toward Statistics and Their Learning Styles: A Rasch Measurement Approach

Students’ learning of statistics has been studied from a variety of angles, and this study is no different. The main purpose is to compare the Malay and Arab students’ attitudes toward learning statistics and their learning styles in understanding statistics. A survey questionnaire and face-to-face interview techniques were used to elicit information from 150 students based on the cohort. They were asked about how they learn to solve statistical problems based on Kolb’s four learning cycles: feeling, reflective observation, thinking, and doing. Attitude responses were numerically recorded based on a five-point Likert scale, while preference for learning styles was recorded as 1 (Do and Feel) or 0 (Watch and Think). Both attitude and learning style data were combined and subjected to Rasch analysis. Results show that a majority of the Arab and Malay students have moderate to high positive attitude toward learning statistics. Generally, students from both cultures are classified as the “Accommodating” type with a preference for doing and feeling from the experience of doing statistical problems. Arab students are classified as the “Assimilating” type with a preference for thinking, reflecting, and learning from observation, while Malay students are classified as the “Converging” type with a preference for thinking and doing statistical exercises.

The Relationship Between Learning Style and Critical Thinking Skills in Learning Kinetic Theory of Gases

This study aims to determine the relationship between learning styles and critical thinking skills in learning gas kinetic theory. This type of research is pre-experimental with a level 3 factorial design that uses three classes to be sampled, namely XI IPA 1, XI IPA 2, and XI IPA 3 in SMAN 7 Mataram. The learning style data collection technique used a questionnaire, while the critical thinking skill data used a multiple-choice test and description. The data obtained were analyzed using two-way ANOVA assisted by IBM SPSS Statistics 21. Based on the analysis obtained an F value of 0.03 <0.05, which illustrates a relationship between learning styles and students' critical thinking skills on learning kinetic theory of gases.

The Process of Students' Mathematical Connection in Solving Mathematical Problems in terms of Learning Styles

The purpose of this study was to describe the process of students' mathematical connections in solving mathematical problems in terms of learning styles. The type of research used is descriptive research with a qualitative approach. The research subjects were six students consisting of two students who have a visual learning style, two students who have an auditory learning style, and two students who have a kinesthetic learning style. Student learning style data were collected through learning style questionnaires, while student connection process data were collected through mathematical connection test sheets and interviews. Data credibility is done by triangulating sources and methods. Data from the six subjects consisting of two students for each of these learning styles were described and categorized from the same, different, and specific views. The subjects obtained from the results of the learning style questionnaire were compared using the results of the mathematical connection test and interviews. Data analysis was guided by four steps to solve Polya's problems and was carried out in three stages, namely data condensation, data presentation, and conclusions. The results showed that there are differences in the mathematical connection process carried out by students who have visual, auditory, and kinesthetic learning styles in the step of understanding the problem. However, there are similarities in the mathematical connection process carried out by students who have visual and kinesthetic learning styles at the step of compiling a completion plan and checking again. while students who have a different auditory learning style from students who have visual and kinesthetic learning styles in implementing the completion plan and re-checking. The process of mathematical connection of students who have an auditory learning style at the step of checking back cannot be seen, because these students do not take this step when solving problems. Researchers suggest that teachers need to accustom students to connecting mathematics both internally and externally and pay attention to the emphasis of the material given to students so that students' mathematical connections are more developed. because the student did not take this step when solving the problem. Researchers suggest that teachers need to accustom students to connecting mathematics both internally and externally and pay attention to the emphasis of the material given to students so that students' mathematical connections are more developed. because the student did not take this step when solving the problem. Researchers suggest that teachers need to accustom students to connecting mathematics both internally and externally and pay attention to the emphasis of the material given to students so that students' mathematical connections are more developed.

The Effects of Brain-Based Learning and Project-Based Learning Strategies on Student Group Mathematics Learning Outcomes Student Visual Learning Styles

The purpose of this study was to study the effect of Brain-Based Learning and Project Based Learning strategies on the results of mathematics learning in students of visual learning styles in the Basic Mathematics Introduction course at the Teaching and Education Faculty at Halu Oleo University, Republic of Indonesia. This study uses an experimental research method designed with a post-test design. Student learning outcomes data were collected through tests and learning style data collected through questionnaires. Data were analyzed by ANOVA with Dunnet’s further test. The results showed that the learning outcomes of students from the visual learning style group were taught the strategy of Brain-Based Learning higher than Project-Based Learning. The conclusion of the study shows that the student learning outcomes of the visual learning style group taught by the Brain-Based Learning strategy are higher than the Project Based Learning; Student groups with visual learning style preferences are more suitable to be applied with the Brain-Based Learning strategy.

Analisis Tingkat Kemampuan Berpikir Kritis Dengan Model Perubahan Konseptual Ditinjau Dari Gaya Belajar Siswa

This study aims to determine level of critical thinking ability when learning process kinetic theory of gas with conceptual change model outcome review from high school student learning style. This type of research is pre experiment with factorial design  (level 3). The research population is all grade XI IPA in SMA Negeri 7 Mataram with sampling technique using purposive sampling. Three samples were taken as experimental class which is class XI MIPA 1 taught with CCM visual style, XI IPA 2 taught by CCM auditory style, and XI IPA 3 taught with CCM kinesthetic style. The student learning style data on was taken using by questionnaire with 4 alternative options. The critical thinking ability’s data collected by using sheets of critical thinking skill based on student's answer to LKS. The result data was analyzed with descriptive statistical test and classified based on categorization level of critical thinking ability. Based on the analysis result, it can be concluded level of critical thinking ability when learning process kinetic theory of gas with conceptual change model outcome review from high school student learning style including into medium category with value of 70,87.

THE EFFECT OF COLLABORATIVE ASSESSMENT AND LEARNING STYLE ON STUDENTS’ WRITING COMPETENCY

This experiment study aims at investigating the effect of collaborative assessment and learning style on students’ writing competency of eleventh grade students of SMAN 1 Kuta. To conduct this research, 92 students were selected as the sample. The design of this research was 2x2 factorial design. Data of writing competency were collected by an instrument called posttest which is essay type test, meanwhile learning style data were collected by questionnaire. The acquired data were analyzed statistically by two way ANOVA and Tukey test. This research discovers: 1) there is a significant effect of collaborative assessment on students’ writing competency, 2) there is a significant interaction effect of assessment type (collaborative and conventional assessments) and learning style (field dependent and independent) on students’ writing competency, 3) collaborative assessment affects significantly on field dependent students’ writing competency, and 4) collaborative assessment does not affect significantly on field independent students’ writing competency.

KOMPARASI PENERAPAN METODE PEMBELAJARAN CTL DAN OPEN-ENDED DENGAN MEMPERHATIKAN GAYA BELAJAR DITINJAU DARI PRESTASI BELAJAR MATEMATIKA

The purposes of this research are to: (1) describethe achievement in learning mathematics of the students taught using the CTL method and Open -Ended method, (2) compare the achievement in learning mathematics of the students taught using the CTL method and Open-Ended method,(3) compare the effect of student’ mathematics learning styles on their achievement, (4) describe the interaction of teaching methods and the students’ mathematics learning styles on their achievement. This research used a quasi-experimental research design using two experimental groups, they are group of CTL and group of Open-Ended. The instrument using for collect data are test for collect the mathematics achievement data and questionnaire for collect the mathematics learning styles data. The analysis of the data used the multivariate analysis with a two-way analysis of variance with unequal cells, and the post-hoc test involving the Bonferroni procedure. The results of the research are as follows:(1)the achievement in learning mathematics of the students taught usingboth of the CTL and Open-Ended method are well, (2) the achievement in learning mathematics of the students taught using the CTL method are better than Open-Ended, (3) there is an effect of learning style on their achievement, with visual learning styles is better than auditorial learning styles, (4) there is no interaction of teaching method and students’ mathematics learning styles on their achievement in mathematics in the material on opportunities. Keywords: CTL, Open-Ended, learning styles, achievement

Predicting academic success and technological literacy in secondary education: a learning styles perspective

This paper aims to investigate the predictive validity of learning styles on academic achievement and technological literacy (TL). For this purpose, secondary school students were recruited (n = 150). An empirical research design was followed where the TL test was used with a learning style inventory measuring learning orientation, processing information, thinking, perceiving information, physical and time learning preferences, and sociological, emotional, and environmental learning preferences. Student performance was measured with grade point average (GPA) and TL level. Results show that 69 and 65 % of the variance in GPA and TL, respectively, can be explained by learning style predictors. Responsible and visual learning styles are the best positive predictors of GPA, while a reflective learner is the best negative predictor. Self-motivated and global learners are the best positive predictors of TL, while the need for authority figures and a theorist learning orientation are the best negative predictors of TL. The practical implications are that secondary schools should collect learning style data before helping students accordingly to be successful and more technologically literate. Highly conforming, global, and visual theorists might be offered more challenging tasks and special commendations on their projects, whereas more reflective and kinaesthetic students could receive more unstructured instruction in a busy environment with learning objects that incorporate innovative experiences, personalised information, and many associations. Assimilators need more textual material, more criterion-referenced instructions to achieve higher-order thinking learning objectives, more time to complete activities or assignments, more abstract problems, and unconstrained design conditions to improve their TL.

The Impact of Learning Styles on Learner's Performance in E-Learning Environment

due to growing popularity of E-Learning, personalization has emerged as important need. Differences of learners' abilities and their learning styles have affected the learning outcomes significantly. Meanwhile, with the development of E-Learning technologies, learners can be provided more effective learning environment to optimize their performance. The purpose of this study is to determine the impact of learning styles on learner’s performance in e-learning environment, and use this learning style data to make recommendations for learners, instructors, and contents of online courses. Data analysis in this research represented by user performance gathered from an E-learning platform (Blackboard), where this user performance data is represented by actions performed by platform's users. A 10-fold cross validation was used to create and test the model, and the data was analyzed by the WEKA software. Classification accuracy, MAE, and the ROC area have been observed. The results show that the accuracy of classification by means of NBTree technique had the highest correct value at 69.697% and it could be applied to develop Felder Silverman's learning style while taking into consideration students’ preference. Moreover, students’ performance increased by more than 12%.

Using learning styles data to inform e-learning design: A study comparing undergraduates, postgraduates and e-educators

<span>What are the differences in learning styles between students and educators who teach and/or design their e-learning environments? Are there variations in the learning styles of students at different levels of study? How may we use this learning styles data to inform the design in e-learning environments? This paper details mixed-methods research with three cohorts teaching and learning in e-learning environments in higher education: novice undergraduate e-learners, graduate e-learners, and educators teaching in, or designing for, e-learning environments (Willems, 2010). Quantitative findings from the </span><em>Index of Learning Styles (ILS)</em><span> (Felder & Silverman, 1988; Felder & Soloman, 1991, 1994) reflect an alignment of the results between both the graduate e-learner and e-educator cohorts across all four domains of the</span><em>ILS</em><span>, suggesting homogeneity of results between these two cohorts. By contrast, there was a statistically significant difference between the results of the graduate and educator cohorts with those of the undergraduate e-learners on two domains: sensing-intuitive (p=0.015) and the global-sequential (p=0.007), suggesting divergent learning style preferences. Qualitative data was also gathered to gain insights on participants' responses to their learning style results</span>

Learning styles across the curriculum

Recent research has shown that a student's learning style - essentially, the way a student approaches and masters new material - can affect student performance in introductory computer science courses. We show here that a student's learning style can also affect student performance across the courses in the computer science curriculum.This paper presents the results of a case study in which we collected learning style data for students completing the required courses in a typical computer science curriculum. We then used a wide range of statistical analyses to check for bias in the dataset and to examine the relationships between student learning style and student performance in those courses.Our analysis identified a number of statistically significant relationships between student learning style and performance. We examine potential explanations for those relationships and discuss ways in which the results can be used to enhance student learning.

Transforming a Sequence of Microbiology Courses Using Student Profile Data

A study was performed in the General Microbiology and Industrial Microbiology courses to increase research awareness at an early stage of the educational process and to establish collaboration between students in an Industrial Microbiology program and industry. In both courses, the professor helped students determine their learning styles and then used these data to design activities in order to accomplish the above objectives. In both the treatment and the control sections, students learned about strategies to optimize learning based on their learning styles. A cooperative learning format was introduced to promote active learning and team-building skills. The diverse learning styles data profile was used by students during cooperative learning activities for effective team integration. In the General Microbiology course, a mentor-mentee structure was introduced to expose students to research in microbiology by visiting research facilities on campus. This structure was an addition to the regular curriculum, which meets American Society for Microbiology curriculum recommendations. The results suggest an increase in interest in research by students. In the Industrial Microbiology course, a strategy was introduced to establish collaboration with industry in which students visit the workplace and identify microbial processes, microbiologist roles, and skills needed by microbiologists. Evaluation of these topics using pre- and posttest data indicates a significant increase in acquired knowledge relevant to daily workplace environments with the reformed course. In both courses, students gain information early in their academic experience to help them consider participation in research experiences while providing them with real-world experience toward the end of their academic careers, when they see the need for it.

Transforming a Sequence of Microbiology Courses Using Student Profile Data

A study was performed in the General Microbiology and Industrial Microbiology courses to increase research awareness at an early stage of the educational process and to establish collaboration between students in an Industrial Microbiology program and industry. In both courses, the professor helped students determine their learning styles and then used these data to design activities in order to accomplish the above objectives. In both the treatment and the control sections, students learned about strategies to optimize learning based on their learning styles. A cooperative learning format was introduced to promote active learning and team-building skills. The diverse learning styles data profile was used by students during cooperative learning activities for effective team integration. In the General Microbiology course, a mentor-mentee structure was introduced to expose students to research in microbiology by visiting research facilities on campus. This structure was an addition to the regular curriculum, which meets American Society for Microbiology curriculum recommendations. The results suggest an increase in interest in research by students. In the Industrial Microbiology course, a strategy was introduced to establish collaboration with industry in which students visit the workplace and identify microbial processes, microbiologist roles, and skills needed by microbiologists. Evaluation of these topics using pre- and posttest data indicates a significant increase in acquired knowledge relevant to daily workplace environments with the reformed course. In both courses, students gain information early in their academic experience to help them consider participation in research experiences while providing them with real-world experience toward the end of their academic careers, when they see the need for it.

Using learning style data in an introductory computer science course

Because learning styles affect how students approach new material, a deeper comprehension of these styles can help professors enhance student learning experiences. In this paper we discuss how learning style data can be used to help guide student study habits and instructional strategies. Additionally, we examine whether or not there is a correlation between learning style and academic performance in an introductory computer science course.

Can we generalize about the learning style characteristics of high academic achievers?

In 1980 Dunn and Price used their Learning Style Inventory (Dunn, Dunn & Price, 1975) to investigate differences between the learning style preferences of high academic achieving students and the preferences expressed by same‐age students with average or below average academic achievement. The purpose of the study described in this article was to determine if and how the learning style preferences of a different group of high academic achieving students, inventoried at a later date, but with the same instrument, differed from those identified in the original study. A discriminant function analysis analyzed the learning styles data obtained from 500 students in grades 4 ‐ 8. While significant differences (p < .001) in the preferences distinguished between the average and above average achieving students groups, there was minimal overlap with the preferences identified in original investigation. The authors conclude that the differences within an achievement group may be as great as between groups, and that it is improper to prescribe instructional methods or categorize groups of learners by presuming that they have similar style preferences.