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Preliminary Design of Kit Kinematics Learning Tools assisted by Phyphox Mobile Apps Fatmawati, Intan; Sulisworo, Dwi
Jurnal Pendidikan Fisika dan Keilmuan (JPFK) Vol 7, No 1 (2021)
Publisher : UNIVERISTAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jpfk.v7i1.9955

Abstract

Integration of learning tools with information technology can enrich the learning experience, including in learning physics. This research is the development of kinematics learning tools assisted by Phypox to support the improvement of scientific thinking skills. The scope of kinematics material is horizontal straight motion, vertical straight motion, and circular motion. In this study, the initial design process and design evaluation were carried out. Evaluation of the initial design was carried out by five experts and data were collected using a questionnaire. Data analysis used Content Validity Ratio (CVR) and Content Validity Index (CVI). The analyzed aspects include six indicators, namely: the functional relationship between components, component completeness, work order, practicality, efficiency, and effectiveness. The results of this study indicate that the initial design of the kinematics learning device is in a good category (CVR = 5.60; CVI = 0.93). Thus, this learning tool can be further tested on relevant students. The impact of the use of this tool will not only increase science skills, with certain learning strategies it can also grow the skills of working together and critical thinking.
Analisis Pengaruh Bahan Bakar Minyak terhadap Energi Kinetik pada Kapal Otok-Otok berbantuan Software Tracker Sebagai Alternatif Media Pembelajaran Fisika Gerak Melingkar Fatmawati, Intan; Ishafit, Ishafit
Jurnal Penelitian Pembelajaran Fisika Vol 12, No 1 (2021): APRIL 2021
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jp2f.v12i1.7177

Abstract

Local wisdom merupakan budaya lokal yang  menciri khaskan suatu daerah. pelestarian local wisdom dapat dilakukan dalam ranah pembelajaran, terutama dalam pembelajaran fisika gerak melingkar. Tujuan dari  penelitian ini 1) mengetahui nilai konversi minyak terhadap energi kinetik (Ek) dan, 2) pengaruh volume minyak terhadap waktu tempuh. Teknik pengambilan data dilakukan dengan vidio dan dianalisis menggunakan Software Tracker. Hasil eksperimen menunjukkan 1) volume minyak 0,1 ml, 0,2 ml, 0,3 ml dan 0,4 ml menghasilkan energi kinetik  sebesar 0,3 J dan, 2) volume minyak 0,1 ml waktu tempuh 95.000 s, volume minyak 0,2 ml waktu tempuh 120.722 s, volume minyak 0,3 ml waktu tempuh 181.00 s dan volume minyak 0,4 ml waktu tempuh 327.611 s. Hasil tersebut menunjukkan bahwa semakin besar volume minyak tidak berpengaruh terhadap energi kinetik tetapi berpengaruh terhadap waktu tempuh.
Case Study on ChatGPT’s Performance in Assisting Students with Physics Tests Mafudi, Innal; Kuswanto, Heru; Jumadi, Jumadi; Fatmawati, Intan
Jurnal Pendidikan Fisika Vol 13, No 1 (2025): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v13i1.16624

Abstract

The rapid development of artificial intelligence (AI), particularly ChatGPT, has sparked interest in its application in education. This study aims to investigate the potential of ChatGPT in helping students understand and solve physics problems, focusing on the Test of Understanding Graphs in Kinematics and the Determining and Interpreting Resistive Electric Circuit Concepts Test. The study involved 25 physics education students who completed these tests independently and with ChatGPT's assistance. The results revealed that students with a strong foundational understanding and reflective abilities interacted more effectively with ChatGPT, leading to improved answers and deeper conceptual understanding. In contrast, students with weaker prior knowledge tended to accept ChatGPT’s answers without critical reflection, perpetuating errors. Furthermore, ChatGPT showed limitations in interpreting image-based questions, reading scales, and providing consistent responses to concept-specific queries. These findings suggest that while ChatGPT has the potential to enhance learning, it requires thoughtful integration, particularly in helping students develop critical thinking and problem-solving skills. Teachers are encouraged to use ChatGPT’s limitations to design assessments that minimize the risk of cheating and foster deeper understanding. In conclusion, this study underscores the importance of combining AI tools with strong conceptual foundations and active reflection to optimize learning outcomes in physics education. Future research should focus on refining strategies for using AI in education to address its current limitations and enhance its effectiveness in complex learning scenarios.
Case Study on ChatGPT’s Performance in Assisting Students with Physics Tests Mafudi, Innal; Kuswanto, Heru; Jumadi, Jumadi; Fatmawati, Intan
Jurnal Pendidikan Fisika Vol. 13 No. 1 (2025): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v13i1.16624

Abstract

The rapid development of artificial intelligence (AI), particularly ChatGPT, has sparked interest in its application in education. This study aims to investigate the potential of ChatGPT in helping students understand and solve physics problems, focusing on the Test of Understanding Graphs in Kinematics and the Determining and Interpreting Resistive Electric Circuit Concepts Test. The study involved 25 physics education students who completed these tests independently and with ChatGPT's assistance. The results revealed that students with a strong foundational understanding and reflective abilities interacted more effectively with ChatGPT, leading to improved answers and deeper conceptual understanding. In contrast, students with weaker prior knowledge tended to accept ChatGPT’s answers without critical reflection, perpetuating errors. Furthermore, ChatGPT showed limitations in interpreting image-based questions, reading scales, and providing consistent responses to concept-specific queries. These findings suggest that while ChatGPT has the potential to enhance learning, it requires thoughtful integration, particularly in helping students develop critical thinking and problem-solving skills. Teachers are encouraged to use ChatGPT’s limitations to design assessments that minimize the risk of cheating and foster deeper understanding. In conclusion, this study underscores the importance of combining AI tools with strong conceptual foundations and active reflection to optimize learning outcomes in physics education. Future research should focus on refining strategies for using AI in education to address its current limitations and enhance its effectiveness in complex learning scenarios.
Evaluation and Calibration of Computerized Attitude Toward Physics Test : A Factor Analysis and Item Response Theory Mafudi*, Innal; Kuswanto, Heru; Jumadi, Jumadi; Kurniawan, Aris; Fatmawati, Intan; Syar, Nur Inayah
Jurnal IPA & Pembelajaran IPA Vol 9, No 1 (2025): MARCH 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v9i1.42738

Abstract

Attitude towards physics is one of the key factors in determining the success of physics learning. The solution to ensure a positive attitude towards physics requires a good diagnostic instrument. This study aims to develop an instrument that can measure attitudes toward physics validly and reliably. This study was conducted by validating the instrument with 8 experts physics education. Validation data was analysed using the Vaiken formula a score of 0.90 was obtained, which means that all items are valid. After the validation stage, the instrument was tested on 423 respondents consisting of high school students from the provinces of East Java and Riau. The test data were analysed through four steps: 1) exploratory factor analysis, 2) confirmatory factor analysis, 3) Cronbach's alpha reliability, and 3) item response theory using the graded response model. The EFA results showed that from 16 question items, they resulted in groupings into 4 factors: Teacher and Physics as a Future Vocation, Physics learning, Physics as a Process, and Enthusiasm toward Physics. The reliability of the items based on cronbach's alpha score 0.94 category a very good reliability level. The performance of each item through the IRT GRM analysis shows that the item discrimination power is in the moderate to very high category, and the item support is in the easy to moderate category. The CATP test is feasible and reliable in measuring attitudes toward physics