scholarly journals Android-Based Expert System Application to Determine Math Learning Styles of Elementary School Students in Surakarta

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.

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.


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.


2021 ◽  
Vol 11 (1) ◽  
pp. 15-28
Author(s):  
Aula Amalia ◽  
Nurina Happy ◽  
FX Didik Purwosetiyono

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. 


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):  
Munazza A. Mirza ◽  
◽  
Khawar Khurshid ◽  
Kinza Sohail ◽  
Salman Biland ◽  
...  

There is a continuous debate on the validity of learning styles in literature. Several models have been proposed for the learning styles, corresponding to the psychometric assessment instrument. Among these models, Felder-Silverman model is widely used by educators to identify the learning styles of the engineering students. The instrument that measures the learning styles is the index of learning style (ILS). This study focuses to identify the validity and reliability of the ILS instrument for middle school students (N=260). This includes internal consistency reliability and construct validity report of the ILS. As a result of the study, the reliability of the instrument was established, however, it was found that there were cross loadings in the 14-factor solution and the 4-factor solution. Thus, the instrument validity for secondary grade students was not established.


Author(s):  
Andi Mulawakkan Firdaus, Dwi Juniati, Pradnyo Wijayanti

Pattern generalization is an important aspect of mathematics contained in every topic in teaching. This study aims to investigate middle school students’ generalization of number patterns based on learning style. Descriptive qualitative, portraying or describing the events that are the center of attention (problem-solving abilities, student learning styles) qualitatively.This study explored 4 participants (12 to 13 years old) with their constructed number pattern they had generalized during individual task-based interviews. Questions that include indicators of the problem solving process in terms of student learning styles, and interviews. The data analysis used was namely data reduction, data presentation, drawing conclusions. We found that students who are converger, diverger, accommodator, and assimilator understands the problem by knowing what is known and asked and explains the problem with their own sentences. The converger and assimilator students look back without checking the counts involved, the diverger students do not see other alternative solutions and do not check the counts involved, accommodator students consider that the solutions obtained are logical, ask themselves whether the question has been answered, check the counts that are done, reread the question, and use other alternative solutions. The implication of this study indicated that students of the type of converger, diverger, accommodator, and assimilator are able to solve problems through the stages of implementing plans by interpreting problems in mathematical form, implementing strategies during the process and counting takes place. Based on several studies on pattern generalization, there have not been researchers who have revealed the number pattern generalization of high school students based on learning styles.


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 4 (5) ◽  
pp. 1046
Author(s):  
Hetty Patmawati

This research is motivated by the lack of understanding  students have in working on graph theory material problems due to differences in students' thinking processes, and  student learning styles when studying discrete mathematics, which requires different thinking with Boolean algebra material. Each student has a different way of thinking skills and learning style. This study uses descriptive qualitative methods so that this study has the objective to find out how the students' mathematical thinking processes in working on graph theory material problems and what obstacles are experienced by students in terms of their learning styles. The focus of research in this study, namely to analyze mathematical thinking processes on graph theory material in terms of student learning styles. The instruments in this study were researchers and also graph theory test questions that were used to view students' thought processes. The research subjects were 5 semester students, as many as 3 people with visual, auditory and kinesnetik learning styles. Then given the problem of graph theory as much as 2 questions, one question in the form of text and another in the form of images. The results show that students with visual learning styles tend to be included in students who have a conceptual thinking process, students with auditory learning styles tend to be included in students who have semi-conceptual thinking processes, while students with kinesthetic learning styles, including students who have computational thinking process . Barriers experienced by students include the lack of understanding of the basic concepts of graph theory and the trajectories and trajectories of Euler and Hamilton.


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