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Dergiler / Journal of Turkish Science Education / 2021 / Cilt: 18 - Sayı: 3

The Effect of Smartphone Usage Intensity on High School Students' Higher Order Thinking Skills in Physics Learning

Wipsar Sunu Brams DWANDARU
Supahar
Warsono
Himawan PUTRANTA
Hery SETİYATNA
Siti CHOİRİYAH
Widodo
Sayfa
421–438
Yayın Tarihi
2022-10-18
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Therefore, there necessary to have the right policies in utilizing smartphones in physics learning so that students can optimize HOTS.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Smartphones are no longer just a communication tool, but also a means of information exchange by students.
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Temel Bulgular & Veri:The sample involved 312 students who were selected using the convenience sampling technique.
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Sonuç & Katkı:Therefore, there necessary to have the right policies in utilizing smartphones in physics learning so that students can optimize HOTS.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Smartphones are no longer just a communication tool, but also a means of information exchange by students. Smartphone may also positively contribute to students' higher order thinking skills (HOTS). This research aimed to determine smartphone usage intensity, students’ HOTS level, and the effect of smartphone usage intensity on students' HOTS in physics learning. This quantitative research was conducted with a pre-experimental method with a single-group post-test design. The sample involved 312 students who were selected using the convenience sampling technique. The data of smartphone usage intensity was obtained using a closed-ended questionnaire and students' HOTS were obtained through the physics HOTS test. The closed-ended questionnaire and physics HOTS test were tested for reliability and validity by six expert validators. The results of the validator's assessment were analyzed using Aiken's V equation to determine the validity and were analyzed through the Quest program to determine reliability. The ideal standard deviation equation was used to analyze smartphone usage intensity and students' HOTS. Multiple regression analysis was used to analyze the effect of smartphone usage intensity on students' HOTS. The results indicated that smartphone usage intensity and students’ HOTS level in physics learning are in high and low categories with percentages respectively of 48.72% and 51.28%. The students' HOTS is affected by smartphone usage intensity in physics learning by 21.10%. These results indicated that the smartphone usage intensity of most students is very high, but not yet can contribute optimally to the students' HOTS. Therefore, there necessary to have the right policies in utilizing smartphones in physics learning so that students can optimize HOTS.

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Bu Makaleye Atıf Yap

DWANDARU, W. S. B., Supahar, S., Warsono, W., PUTRANTA, H., SETİYATNA, H., CHOİRİYAH, S., Widodo, W. (2022). The Effect of Smartphone Usage Intensity on High School Students' Higher Order Thinking Skills in Physics Learning. Journal of Turkish Science Education, Cilt: 18 - Sayı: 3, 421–438. https://ajindex.com/articles/568460

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Kaynakça (8)

  1. Aiken, L. S., & Stephen, G. (1985). Multiple regression: Testing and interpreting interactions. Al-Mashaqbeh, I. F. (2016). IPad in elementary school math learning setting. International Journal of Emerging Technologies in Learning (iJET), 11(2), 32-46. https://doi.org/10.3991/ijet.v11i02.5053
  2. Alzubi, A., & Singh, M. (2018). The impact of social strategies through smartphones on the Saudi students’ socio-cultural autonomy in EFL reading context. International Electronic Journal of Elementary Education, 11(1), 31-40. https://doi.org/10.26822/iejee.2018143958
  3. Anderson, L. (2014). W., & Krathwohl, DR (2001). A taxonomy for learning, teaching, and assessing. Pearson Education Limited. Arslan, R., Kofoğlu, M., & Dargut, C. (2020). Development of augmented reality application for biology education. Journal of Turkish Science Education, 17(1), 62-72. https://doi.org/10.36681/tused.2020.13
  4. Astuti, I. A. D., Dasmo, & Nurullaeli. (2018). The use of pocket mobile learning to improve critical thinking skills in physics learning. International Journal of Recent Contributions from Engineering, Science & IT, 6(4), 80-86. https://doi.org/10.3991/ijes.v6i4.8877
  5. Awedh, M., Mueen, A., Zafar, B., & Manzoor, U. (2014). Using socrative and smartphones for the support of collaborative learning. International Journal on Integrating Technology in Education (IJITE), 3(4), 17-24. https://doi.org/10.5121/ijite.2014.3402
  6. Azwar, S. (2012). Reliability and validity 4th edition. Pustaka Pelajar. Bozdoğan, A. E., & Uzoğlu, M. (2015). Science and technology teachers’ opinions about problems faced while teaching 8th grade science unit “force and motion” and suggestions for solutions. Journal of Turkish Science Education, 12(1), 57-70. https://doi.org/10.12973/tused.10133a
  7. Cheng, P. H., Yang, Y. T. C., Chang, S. H. G., & Kuo, F. R. R. (2015). 5E mobile inquiry learning approach for enhancing learning motivation and scientific inquiry ability of university students. IEEE Transactions on Education, 59(2), 147-153. https://doi.org/10.1109/TE.2015.2467352
  8. Creswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson Education. Drape, N. R., & Smith, H. (1996). Applied regression analysis. John Wiley and Sons Inc. Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education (8th edition). McGraw-Hill. Gülen, S., & Yaman, S. (2019). The effect of integration of STEM disciplines into Toulmi