Analysis Of Student’s Diagnostic Ability in Electricity And Magnetism’s Course Based on Quizziz Platform.

1*Rifda Nur Hikmahwati Arif, 2Sitti Rahma Yunus, 3Nurul Fakhrannisa, 4Salma Samputri, 5Rifda Mardian Arif

Authors

  • Rifda Nur Hikmahwati Arif Universitas Negeri Makassar
  • Sitti Rahma Yunus Universitas Negeri Makassar
  • Nurul Fakhrannisa Universitas Negeri Makassar
  • Salma Samputri Universitas Negeri Makassar
  • Rifda Mardian Arif Universitas Negeri Gorontalo

DOI:

https://doi.org/10.35877/soshum3389

Keywords:

Diagnostic Ability, Electricity and Magnetism, Quizziz

Abstract

This study aims to analyse the diagnostic ability of ICP science students FMIPA UNM in the Electricity and Magnetism course. This research uses descriptive research with a Quizizz-based qualitative approach. The sampling technique used was purposive sampling. The data collection technique used in this study was a multiple choice diagnostic test accessed through the Quizizz platform online. The data analysis technique used is descriptive statistics (frequency, percentage, and average) and item analysis (index of difficulty and differentiating power of the questions. Quizizz-based diagnostic tests for electrical and magnetic topics are effective enough to evaluate students' initial abilities. Most questions have a moderate difficulty level and sufficient to good differentiating power; however, some questions have low or negative differentiating power and need to be corrected. The results showed that students' diagnostic ability in Electricity And Magnetism’s Course using quizziz platform was at 5,0 score which in a low category. This research serves as a basis for the development of better diagnostic tests to achieve learning objectives.

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Published

2024-12-05

How to Cite

Rifda Nur Hikmahwati Arif, Sitti Rahma Yunus, Nurul Fakhrannisa, Salma Samputri, & Rifda Mardian Arif. (2024). Analysis Of Student’s Diagnostic Ability in Electricity And Magnetism’s Course Based on Quizziz Platform.: 1*Rifda Nur Hikmahwati Arif, 2Sitti Rahma Yunus, 3Nurul Fakhrannisa, 4Salma Samputri, 5Rifda Mardian Arif. ARRUS Journal of Social Sciences and Humanities, 4(5), 637–642. https://doi.org/10.35877/soshum3389

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Articles