The Influence of Competence, Learning Methods, Infrastructure Facilities on Graduate Quality (Case Study (Vocational High School) SMKN 5 Bandung Indonesia)

Abstract

The main objective of this research is to determine teacher competency requirements that support appropriate learning methods and be able to increase students' high learning desires and establish good learning facilities to determine the achievement of quality graduates and love knowledge. This study is expected to investigate how competencies, learning methods and ideal learning infrastructure can be used to improve students' understanding and comfort of teaching and learning processes that support intellectual quality and love knowledge. This notion arose after discovering that teaching practices for the affective domain were ineffective. Students learn to pass examinations, not to love knowledge. Experiments are conducted for 1 (one) year or 2 semesters, in January - December 2019, to determine the impact of learning experiences on students' academic achievement. The research sample consisted of 10 English teachers and 20 students from the Vocational High School. The students are divided into two groups; the control group (10 students) and the experimental group (10 students). Both groups were taught the same topic and learning objectives for 2 hour. However, the control group was taught using lecture slides, group discussions and closed with a question and answer session. Meanwhile, the experimental group is taught using new instructional instruments that adapt learning experiences that are appropriate to the curriculum. During the teaching session, the teacher observes student participation in all their activities and behavior during the lesson session. To complete this study, tests are conducted to see the impact of the learning experience on students' academic achievement.

A Novel Method for Performance Measurement of Public Educational Institutions Using Machine Learning Models

“…It concluded that disparities among regions must be considered in terms of socio-economic, demographic, and geographic factors that affect school participation. Nurliana and Sudaryana [14] investigated the factors that improve the student learning process and increase student knowledge. The experiment was performed on the dataset of students and teachers at one school for 1 year.…”

“…Feature Selection Technique Institutional Performance Evaluation [3] 1642 Schools, Pakistan [1] NAEA 2014 Data [8] Brazil One Region School [11] TDHS-2008 Survey, Turkey [14] Vocational High School, Indonesia.…”

“…The ranges of the hyperparameters are presented in Table 3. Random seed [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] Usually, machine learning models split data sets into training and testing sets. Training is used to train the model while testing sets are used to test the model.…”

The Urgency of Developing an Integrated Multimodal Educational Pragmatics Textbook

“…This analysis is based on information collected through a questionnaire administered to students who have either completed or are currently enrolled in the educational pragmatics course. The questionnaire is a method of indirect data collection wherein the researcher does not engage in direct interaction with the respondents(Nurliana & Sudaryana, 2020).The questionnaire was completed by 25 individuals, comprising five alumni and 20 students of the Master's Program in Indonesian Language Education at Sanata Dharma University who have taken the educational pragmatics course.The distribution of the questionnaire aims to gauge students' perspectives on various topics, including (1) students' comprehension of the educational pragmatics course, (2) students' understanding of the availability of educational pragmatics textbooks, (3) students' familiarity with multimodality; (4) the connection between educational pragmatics and multimodality; and (5) the urgency of developing an educational pragmatics textbook considering multimodal aspects.…”