Implementing student teams-achievement division to improve student’s activeness and achievements on technical drawing courses

Abstract

The purpose of this research is to find out the process of cooperative learning action type student teams achievement division (STAD) and its effect on the activeness and learning outcomes of students in class X Mechanical Engineering of Vocational High School 2 Depok Sleman. This research is a classroom action research using STAD type cooperative learning model, using a qualitative approach to compare the results of observations of cycle I, cycle II, and cycle III. The results of the study show that the implementation of the STAD type cooperative learning model can increase student activity and learning outcomes in each cycle. There are increasing in learning activeness of students who received the minimum score of good categories and increasing in the number of students who received the minimum completion criteria.

Pengaruh Model Pembelajaran Student Team Achievement Division (STAD) terhadap Hasil Belajar serta Kemampuan Berpikir Kritis Siswa

“…Oleh karena itu, STAD memungkinkan siswa untuk saling berkolaborasi dan membantu satu sama lain, melengkapi bakat satu sama lain, memperkuat keterampilan individu dan kelompok, dan juga meningkatkan komitmen siswa, sehingga siswa saling bergantung secara positif selama proses pembelajaran (Yuliani, 2019). Menurut Wahyuni (Sutopo et al, 2020) pembelajaran secara berkelompok akan mempermudah siswa dalam mengusai materi karena mereka lebih memahami penjelasan teman sebayanya daripada penjelasan guru. Menurut Wijaya dan Arismumandar (Kamza et al, 2021) STAD berfokus pada kegiatan dan interaksi antar siswa untuk memotivasi dan mendukung satu sama lain dalam menguasai pembelajaran.…”

Identification of Cooperative Learning Component in Designing Lesson Plan for Building Drawing Subject in Vocational Colleges

“…These findings indicate that the STAD cooperative teaching method is suitable for use in the teaching of drawing, and can also replace the traditional methods commonly used in teaching. The appropriateness of its use is acknowledged by Slavin (2013), who is a popular researcher who used this method, and proven by Sutopo et al (2020), who also used the cooperative teaching method of STAD in the subject of Mechanical Drawing. Other studies using this method are done by Jamaludin & Mokhtar (2018) and Casey & Fernandez-rio (2019).…”

“…The cooperative method Student Team Achievement Division (STAD) is a teaching method introduced by Slavin (2013) specializing in instructional methods that cater to students with different performance levels, working together in small groups for a common purpose until successful. Its advantages are recognized and proven in studies such as (Laa et al, 2017;Jamaludin & Mokhtar, 2018;Gustia et al, 2019;Sutopo et al, 2020) for having elements of positive dependence, responsibility towards friends, increasing interaction and communication in groups and group processing. Furthermore, this approach can enable the students to form positive attitude changes, work in groups, improve academic achievement and produce critical thinking.…”

“…Furthermore, this approach can enable the students to form positive attitude changes, work in groups, improve academic achievement and produce critical thinking. Although applied in different subjects such as Biology and Mathematics, the use of STAD method has also been used in drawing subjects as in the study of Sutopo et al (2020) which used STAD cooperative method in mechanical drawing subjects which prove the suitability of STAD method to be applied in various subjects including technical drawing subjects. Slavin (2013) defines STAD as a type of team learning in which four or five students represent a cross section of the class in terms of academic performance, sex, and race or ethnicity.…”

Analysis on Course Scores of Learners of Online Teaching Platforms Based on Data Mining

“…Data mining is widely used in such fields as finance, science and technology, and agriculture. It is also increasingly applied in education and teaching [10][11][12][13][14]. The existing studies on data mining of education data mainly focus on the prediction of student scores, and the correlation between course scores [15][16][17][18].…”