CD Tesis
Upaya Meningkatan Motivasi dan Keterampilan Proses Sains Melalui Penerapan Model Pembelajaran ARIAS (Assurance, Relevance, Interest, Assessment, Satisfaction) berbantuan Simulasi PHET pada Siswa SMA Negeri 1 Kampar Timur
Student learning motivation is crucial in the learning process. If students have high learning motivation, they will demonstrate high behavior and enthusiasm in learning activities. Conversely, if students have low learning motivation, they may exhibit indifferent behavior, easily get tired, and become bored with learning. This, of course, affects students' learning outcomes and science process skills. Therefore, effective strategies or learning models need to be developed to enhance students' learning motivation and science process skills, one of which is by implementing the ARIAS Learning Model (Assurance, Relevance, Interest, Assessment, Satisfaction) assisted by PHET Simulations. Efforts to improve learning motivation and Science Process Skills using the ARIAS Learning Model (Assurance, Relevance, Interest, Assessment, Satisfaction) assisted by PHET Simulations for students at SMA Negeri 1 Kampar Timur focus on the subject of Physics.
This type of research is Classroom Action Research (CAR) conducted in two cycles with stages involving planning, implementation, observation, and reflection. The research subjects consist of class XII MIPA 4 with a total of 33 students (14 males and 20 females). The variables observed include the improvement of students' learning motivation and science process skills as dependent variables, and the implementation of the ARIAS (Assurance, Relevance, Interest, Assessment, Satisfaction) learning model assisted by PHET simulations as an independent variable.
The data collection method for learning motivation uses a questionnaire given at the end of each cycle, while data on students' science process skills is collected through tests conducted at the end of each cycle. The instrument's validity is tested using construct validity with expert judgment assessment. The data analysis technique used is descriptive analysis.
The results of the data analysis show an improvement in students' physics learning motivation over two cycles. The average percentage of student learning motivation in the first cycle reached 59% with a sufficient category, and increased in the second cycle to 73% with a strong category. The actions taken by the researcher include training students' focus on the learning process by providing rewards and punishments, introducing new experiences through virtual labs, and building students' confidence through alternating presentation of discussion results. Similarly, with the test of students' science process skills, there was an improvement from Cycle I to Cycle II. The average percentage of students' science process skills in Cycle I was 60%, categorized as quite good, and in Cycle II, it increased to 84%, categorized as very good. This improvement was achieved by taking several actions, such as ensuring active participation of all students by reducing the number of group members, assigning specific job descriptions to students in each meeting to provide them with equal and consistent learning experiences in observation, measurement, grouping, inference, prediction, and communication during the learning process.
Additionally, the researcher presented data in a simple format to facilitate students in measuring, grouping, inferring, and communicating data into tables and creating graphs. This approach aimed to make the data search process more accessible for students.
Keywords: ARIAS (Assurance, Relevance, Interest, Assessment, Satisfaction), PHET Simulations, Learning Motivation, Science Process Skills
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