MISCONCEPTION ANALYSIS IN TERMS OF STUDENT LEARNING STYLES

This study aims to determine students' misconceptions in social arithmetic material when viewed from student learning styles. The population in this study was 28 students of class VII F MTs Negeri 5 Cirebon. The research form used in this study is qualitative research, with a research strategy that is a case study. Data collection techniques used were 1) the observation method, 2) the tests method, 3) the questionnaire method, 4) the interview method is conducted for students who experience misconceptions after adjusting to the student's learning style. The results of this study are 1) Students who have a visual learning style do not experience misconceptions in mathematical concepts, but students experience misconceptions in the process of counting and translation. 2) Students who have auditorial learning styles, there are no misconceptions in mathematical concepts, but students experience errors in the final calculation process. 3) Students who have kinesthetic learning styles it is suspected that students have conceptual misconceptions because students do not understand the concept of the process including students who do not understand the mathematical formulas and values that must be used and students do not understand calculations. In general, the causes of misconceptions in students who have visual learning styles, auditory and kinesthetic, are derived from student understanding and teacher learning methods.

Profil Kemampuan Representasi Siswa Dalam Memecahkan Masalah Matematika Ditinjau Dari Gaya Belajar

This study aims to determaine the profile of the representation ability of juniorhigh school students in terms of learning styles. This type of research wasdescriptive qualitative research. The subjects taken were three junior highschool students of eight grade, each of whom had a visual learning style, andauditory learning style, and kinesthetic learning style. The data was collectedusing a learning style scale, written tests, interviews and documentation. Thedata analysis technique was carried out in 3 stages, reduction, datapresentation, and drawing conclucions or verification. The validity of the dataused time triangulation, comparaing the results of the representation abilitytest with the results of interviews in the first and second stages. The analysiswas developed based on indicators of representational ability by taking inroaccount student learning styles. Based on the results of the analysis, it isknown that subjects with visual, auditory and kinesthetic learning styles havelow verbal representation abilities.

Student Learning Styles in The Industrial Revolution 4.0

The industrial revolution 4.0 in the field of education provides convenience in learning methods and processes. Internet-based technology makes it easier for students to learn independently, quickly in providing feedback, and freely choose material from library sources from anywhere. As a result, student learning styles change along with the development of internet-based technology. In the coursework, students can read and combine various writings from several sources, and in-class when students present assignments of learning materials that have been read so that they are easily understood by other students. Likewise, in completing paper assignments from lecturers, students can read various papers given by many lecturers. This happens because of the students' understanding of the assignments given by the lecturer. The purpose of this study was to identify the learning styles of students of the Biology Education Study Program, STKIP PGRI Sumatera Barat on the development of internet-based technology in the industrial revolution 4.0. This type of research is descriptive and the approach used is quantitative. The results of this study indicate that the learning style of students of the Biology Education Study Program STKIP PGRI Sumatera Barat, Padang, West Sumatra tends to be visual, namely 60.3%. The presence of internet technology and its use in an educational institution is a medium or source of learning that can be utilized by students

Naïve Bayes for Detecting Student’s Learning Style Using Felder-Silverman Index

This paper focuses on detecting student learning styles using the Felder-Silverman Index Learning Style (FSLM). Providing Adaptivity based on learning styles can support students and make the learning process easier for them. However, the student learning styles need to be identified and understood to provide the appropriate adaptability. In this case, we use a questionnaire instrument to detect student’s learning styles. This paper analyses of students from Professional Education Teacher (PPG) at the Ministry of Research, Technology, and Higher Education (Kemenristek DIKTI). The results show that 1998 students who filled out the questionnaire obtained the following conclusions for each zone with a balanced learning style about 29.9% for dimension processing, 34.78% for input dimension, and 36.98% for understanding dimension. However, most students have a moderate sensing learning style with 31.13% for each zone for the dimension of perception. This research contributes to some areas, such as providing FSLSM learning style with a large dataset and capturing students' learning styles based on four dimensions.

Comparative Analysis of Exemplar-Based Approaches for Students’ Learning Style Diagnosis Purposes

A lot of computational models recently are undergoing rapid development. However, there is a conceptual and analytical gap in understanding the driving forces behind them. This paper focuses on the integration between computer science and social science (namely, education) for strengthening the visibility, recognition, and understanding the problems of simulation and modelling in social (educational) decision processes. The objective of the paper covers topics and streams on social-behavioural modelling and computational intelligence applications in education. To obtain the benefits of real, factual data for modeling student learning styles, this paper investigates exemplar-based approaches and possibilities to combine them with case-based reasoning methods for automatically predicting student learning styles in virtual learning environments. A comparative analysis of approaches combining exemplar-based modelling and case-based reasoning leads to the choice of the Bayesian Case model for diagnosing a student’s learning style based on the data about the student’s behavioral activities performed in an e-learning environment.

Identification of Informatics Engineering Student Learning Styles in the Independent Learning Era

This study aims to analyze the characteristics of student learning styles based on visual, auditory and kinesthetic learning styles as well as the characteristics of learning styles based on the surrounding environment. The research method uses descriptive qualitative. The research sample was using a random technique so that the total sample was 43 students. The instrument of this research is a questionnaire with 3 indicators of visual, auditory and kinesthetic as well as how the role of the surrounding environment in determining student learning styles. Supporting instruments using interview techniques. The data analysis technique used descriptive statistics and qualitative descriptive analysis. Based on the results of the study, it is known that the identification of student characteristics on learning styles is seen from visual learning styles (28%), auditory (31%) and kinesthetic (41%). Characteristics of learning styles in the form of environmental identification based on student interaction are learning alone (23%), studying with others in a calm state (28%) and learning with others by doing something (49%). Identification of the environment based on outdoor learning places is 77% and the percentage of indoor learning is (23%). Based on the identification results, the majority have the habit and desire to learn outside the classroom in developing their competencies, this is in line with the heutagogy learning strategy, namely independent learning, developing their own learning strategies, developing theoretical and practical materials together with people or groups who can work together.

E-HOSPITALITY AND TOURISM COURSE BASED ON STUDENTS' LEARNING STYLES

Information processing in learning theory involves students' ability to receive and understand the information obtained. Students' ability to identify learning methods that are appropriate to the learning style plays an important role in continuously improving the quality of teaching and learning. The need to diversify learning methods today is seen as a step to refine the learning approach in line with the latest technology development. Different student learning styles affect the quality of learning and motivation for a course, especially hospitality and tourism courses. This course is given less emphasis on the theoretical aspect and only focuses on practical needs. Thus, this study examines the adaptation of student learning style based on the Felder-Silverman learning style model. Student learning styles identified through a survey study of 80 students of Hospitality and Tourism courses were used as the basis for developing the e-Hospitality and Tourism model. The resulting e-Hospitality and Tourism model can be used as a guide in technical and vocational e-Learning.

Analysis of learning difficulties in vertebrate zoology during the COVID-19 pandemic based on student learning styles

Vertebrate zoology lectures during the COVID-19 pandemic brought about a transformation from face-to-face lecture systems to online self-learning. Students with various learning styles experience difficulties in studying vertebrate zoology courses. The purpose of this study was to analyze the learning difficulties of the COVID-19 pandemic zoology vertebrate course as a whole and based on student learning styles. This research was conducted at the University of PGRI Madiun and IKIP Budi Utomo in May 2020. The number of respondents was 140 students of the Biology Education Department. This type of research is qualitative research with a survey method. The instrument used was a questionnaire analysis of vertebrate zoological learning difficulties using the google form. Data were analyzed descriptively qualitatively. The results showed that the learning difficulties of students, in general, were related to the understanding of scientific names as much as 71% and the fulfillment of teaching materials as much as 51%. The learning difficulties of students with a visual learning style consisted of understanding scientific names (69%) and the fulfillment of teaching materials (57%). The learning difficulties of students with auditory learning styles consist of understanding scientific names (81%). The learning difficulties of students with the kinesthetic learning style consisted of understanding scientific names (67%). This study concludes that students' difficulties are dominated by understanding scientific names and the availability of teaching materials.