scholarly journals Designing an expert system for determining student learning styles using forward chaining in engineering education

2021 ◽  
Vol 9 (1) ◽  
pp. 93
Author(s):  
Muhammad Anwar

Engineering education prepares its graduates able to work in the community and entrepreneurship, the quality of graduates is highly determined by the quality of the learning process is no exception for student learning styles. The purpose of this study was to describe the design of the expert system to determine the student learning style, the method used was forward chaining. The results of the design of this application have been able to diagnose student learning styles efficiently and provide the best solutions for their learning.

2020 ◽  
pp. 65-70
Author(s):  
Rayung Wulan ◽  
Achmad Sarwandianto ◽  
Nur Alamsyah ◽  
Aulia Ar Rakhman Awaludin

This Android-based expert system application was created to assist teachers in analysing student learning styles and identification of student learning styles that are easy to transfer knowledge in schools. The instrument used was the results of a questionnaire to measure learning style variables and student assessment variables in receiving mathematics lessons. The Android-based expert system application was designed based on student learning style questionnaire, the questionnaire was validated, and internal consistency reliability, set the instrument items and then collected in the rules and decision trees. The results of the questionnaire were taken from 6 elementary schools in Surakarta. The inference method used in this calculation is the forward chaining method, looking at the results of the decision tree as outlined in the expert system application. The Android-based expert system application is very effective and efficient in analysing student learning styles.


Author(s):  
Ahmad Ilham Habibi ◽  
Tri Asih Wahyu Hartati ◽  
Purwaning Budi Lestari

Lecturers must know and understand the characteristics and learning styles of their students so that their interactions can take place well in the learning and teaching process. However, in reality in the field most of the Lecturers are Educational Study Programs Physical Health and Recreation (PJKR) does not yet know and understand student learning styles optimally. Therefore this study aims to determine the tendency of PJKR student learning styles at IKIP Budi Utomo Malang. This research is a qualitative descriptive study.The instruments of this study were student learning style questionnaires, interview guidelines for lecturers and interview guidelines for students. The results showed that the most dominant PJKR student learning style was the visual learning style with a total of 98 students (63.23%). The next dominant student learning style is the kinesthetic learning style with a total of 23 students (14.84%).The conclusion of this study is that most PJKR students have a visual learning style and some others have kinesthetic learning styles.


2019 ◽  
Vol 3 (1) ◽  
pp. 79-84
Author(s):  
Agus Wibowo ◽  
Nurul Atieka

IDENTIFICATION OF LEARNING STYLES BASED FROM SPECIAL TALENT STUDENT PROGRAM STUDY OF GUIDANCE AND COUNSELING UM METRO. Pragmatism of educational practice can be seen from learning process without based of individual characteristics. This condition appears in the selection of methods and strategies of lstudents who tend to be oriented towards teacher oriented. In learning identification the characteristics of students are very poorly identified by teachers. Based from the problems, it is very important to study and identify student talents and student learning styles. Through this research, it is expected to be a reference in the development of the learning process based of special talents and student learning styles. This study aims to identify the characteristics of talent, learning styles, and the relationship between talent and learning styles in students. The method used is correlational research. Data collection uses aptitude tests and learning style scales.The results of research is majority students guidance and counseling study program of UM Metro have special talent is vebal talent, dan characteristics of style learning is visual learning. Thus the results of the study also show that the majority of students who have a verbal talent are also types of visual learning.


2021 ◽  
Vol 10 (01) ◽  
pp. 100-117
Author(s):  
Amiera Slyazreen Mohd Ghazali ◽  
Siti Fadzilah Mat Noor ◽  
Hazura Mohamed

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.


Author(s):  
Widia Indra Kartika ◽  
Syifa Lailatul Mutmainnah ◽  
Nurlia Agustina ◽  
Moh Salimi

<p><em>Educators need to understand student learning styles so that the delivery of material or the learning process becomes smooth and successful. Educators need to understand also ways to facilitate students according to learning styles. The purpose of this study is to (1) describe student learning styles; (2) describe ways to facilitate student learning styles. The results of this study are: (1) learning style is a learning process of students in accordance with their skills and abilities which consist of visual learning styles, auditory learning styles, and kinesthetic learning styles. (2) ways to facilitate visual learners through vision or depiction, auditory learners learn through hearing, and kinesthetic learners learn through motion or touch.</em></p>


Author(s):  
K Kadrahman ◽  
S Sumijan ◽  
Y Yuhandri

Expert system is one of the use of technology in supporting every human activity. One of the uses of the expert system is for education. The expert system will help teachers to analyze the attitudes displayed by students. The purpose of this study is to analyze the attitudes and learning styles of students, apply good moral methods to students and determine the type of good approach to students using the Forward chaining method. The data needed for this research is student attitude data, data on learning style types, and moral data of morality and data on solutions to the application of morality and character. This research resulted in a solution in the form of the method of moral lighting according to the learning style with data accuracy of 86.2%. The conclusion of this study is that the design of an expert system for diagnosing student attitudes makes it easier for teachers to approach students.


2021 ◽  
Vol 7 (SpecialIssue) ◽  
pp. 187-193
Author(s):  
Febri Yanti ◽  
Lufri Lufri ◽  
Yuni Ahda

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


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ujang Suprianto ◽  
Heni Pujiastuti

The purpose of this study is to determine the distribution of student learning styles, to determine the average mathematical communication skills that have Auditory, Visual, and Kinestatic learning styles. and to find out if there are significant differences in the ability of mathematical connections between students who have auditory, visual, and kinesthetic learning styles. This research was conducted at SMAN 17 Pandeglang in class XII MIPA. The instrument used was in the form of a learning style questionnaire and a test of mathematical connection abilities. This type of research is a comparative study with a quantitative approach. Based on the results of data processing, that the distribution of student learning styles is included in the Auditory learning style of 34% of students, Visual 46% of students, and Kinesthetic 19% of students. By using a scale of 0-50, the average mathematical connection ability of students is 29.58, whereas when viewed from each distribution of learning styles, the average mathematical ability of auditory students is 24.89, visual students 28.33, and kinestatic students 34,40. Based on the results of the analysis with the ANOVA test and t test (Dunnet) that there is a significant difference in the ability of students' mathematical connections between auditory, visual and kinesthetic learning styles with a significant level of ? = 0.05, and the results of the value of Fcount &gt; Ftable = 3.62 &gt; 3,42, where the kinesthetic learning style has higher mathematical connection ability than auditory and visual learning styles.


2020 ◽  
Vol 8 (2) ◽  
pp. 119
Author(s):  
Ujang Suprianto ◽  
Aan Hendrayana ◽  
Syamsuri Syamsuri

This study aims to determine the description of the mathematical connection ability of class XI MIPA students based on the learning styles of students of convergers, divergers, accommodators, and assimilators in online learning using discovery-based worksheets. This type of research is a qualitative descriptive study. The subjects of the study were the students of class XI MIPA SMAN 17 Pandeglang. Data collection is done through learning style questionnaires, tests of mathematical connection abilities, and interviews. All students of class XI MIPA were identified by the type of learning style using the Kolb learning style questionnaire. Data about mathematical connection ability is analyzed with interview data. 8 students consisting of 2 students representing learning styles were selected to interview their mathematical connection abilities. Based on the analysis of the data obtained a description of the results of research that in general students of the type of converger, diverger, accomodator, and assimilator have good mathematical connection abilities. the assimilator type is rather weak on the indicator using the mathematical connection ability indicator. As for the type of accomodation learning style, it is rather weak in finding and understanding concepts in mathematical connection abilities. Students of the Converger learning style style and assimilator understand the material by reading and observing in the ongoing learning while students of the Diverger learning style type and the accomodator understand the concepts in general by following the learning process in progress and actively trying to try in working on the discovery-based worksheets.


2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Siti Syifa’un Nufus ◽  
Gito Hadiprayitno ◽  
A Wahab Jufri

Learning style is one of the important elements in the learning process of students. Information about student learning styles will help teachers design appropriate learning so that students can more easily absorb, organize, and process information during the learning process. Learning in accordance with the character of students in the class will create joyful learning and influences student learning outcomes and abilities, including scientific literacy. This study aims to investigate the relationship between learning styles with student learning outcomes and scientific literacy. This research is descriptive-experimental research. The population of this study was MTs students in Mataram and the subjects of this study were 55 students. In order to determine the tendency of student learning styles, the VARK learning style questionnaire (Visual, Auditory, Read/Write, and Kinesthetic) was developed. In order to assess the scientific literacy that consisted of scientific literacy multiple-choice test and to assess the learning outcome, the final score was employed. Analysis of the relationship between learning styles and the scientific literacy using bivariate correlation, while the effect analysis of learning styles on learning outcomes and scientific literacy using MANOVA and effect analysis of students' scientific literacy on learning outcomes using ANACOVA. The results of the study indicated that the trend of auditory and kinesthetic learning styles correlated significantly with students' scientific literacy (p <0.05), whereas visual and reading/writing learning styles did not significantly correlate (p> 0.05). The type of learning styles does not have a different effect on student learning outcomes and scientific literacy, but scientific literacy has a significant influence on learning outcomes (p <0.05).


Sign in / Sign up

Export Citation Format

Share Document