Checking the Level of Similarity of ChatGPT Answers to Vocational Education Prompts

Authors

  • Anik Maghfiroh Pendidikan Tata Kecantikan, Universitas Negeri Semarang
  • Ranu Iskandar Pendidikan Teknik Otomotif, Universitas Negeri Semarang

DOI:

https://doi.org/10.51454/jet.v4i3.267

Keywords:

ChatGPT, similarity index, turnitin, vocational education

Abstract

ChatGPT is one of the AIs that really helps humans in answering all questions in various sectors including in the education sector if used wisely. This research aims to describe the answers of chatGPT related to vocational education using turnitin and chatGPT. This research is a descriptive research. There were 10 questions asked. After 1 answer appears, then click the generate response button to get other answers. Each question was taken 3 answers from ChatGPT. The results of turnitin checking were compared with the plagiarism rate table. The checking was done by pasting the answers plus a question ‘is this answer from chatGPT?’. Based on checking using turnitin, it is known that 8 answers have a low similarity index while 2 answers have a medium similarity index. Based on checking using chatGPT itself, it is known that chatGPT knows all the answers from him. Recommendations for further research are that paraphrase can be done using AI tools such as Wordtune and Quillbot. Then the results are checked for similarity index with many plagiarism tools.

Downloads

Download data is not yet available.

References

Akademik FISIP Universitas Mulawarman. (2020). Validasi Karya Ilmiah Mahasiswa Dengan Turnitin. Retrieved from https://akademik.fisip-unmul.ac.id/site/index.php/en/10-news/19-validasi-karya-ilmiah-mahasiswa-dengan-turnitin

Andam, K., Edeh, H., Oboh, V., Pauw, K., & Thurlow, J. (2020). Impacts of COVID-19 on food systems and poverty in Nigeria. In M. J. Cohen (Ed.), Advances in food security and sustainability (pp. 145–173). Cambridge, Massachusetts: Academic Press (Elsevier). doi: https://doi.org/10.1016/bs.af2s.2020.09.002

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN. doi: http://dx.doi.org/10.2139/ssrn.433748

Cotton, D., Cotton, P., & Shipway, J. R. (2023). Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT. doi: https://doi.org/10.1080/14703297.2023.2190148

Fitts, J., & Bovard, R. (2023). AI and the Future of Academic Integrity. Retrieved from https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1196&context=btp_expo

Halgamuge, M. N. (2017). The use and analysis of anti-plagiarism software: Turnitin tool for formative assessment and feedback. Computer Applications in Engineering Education, 25(6), 1–15. doi: 0.1002/cae.21842

Kareem, A., & Jamgade, S. (2021). Enhancement of Elderly Care and Experiences in Hospitality and Tourism. UAS - Journal of Management and Commerce, 7(1), 22–25. Retrieved from https://www.researchgate.net/publication/353851170_Enhancement_of_Elderly_Care_and_Experiences_in_Hospitality_and_Tourism

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … Kasneci, G. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. doi: https://doi.org/10.35542/osf.io/5er8f

Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking of Plagiarism Detection. Retrieved from https://arxiv.org/ftp/arxiv/papers/2302/2302.04335.pdf

Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., … Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2(2), e0000198. doi: https://doi.org/10.1371/journal.pdig.0000198

McKnight, L. (2021). Electric sheep? Humans, robots, artificial intelligence, and the future of writing. Changing English, 28(4), 442–455. doi: https://doi.org/10.1080/1358684X.2021.1941768

Muttaqin, M., Yuswardi, Y., Warni, E., S, W., Bagaskara, R., Ambarwari, A., … Djufri, I. (2023). Konsep Dasar Kecerdasan Buatan. Kota Medan: Yayasan Kita Menulis.

OpenAI. (2023). ChatGPT. Retrieved from https://chat.openai.com/chat

Putro, H. P., Widyaningsih, T. W., Englishtina, I., Nursanty, E., Robet, E., Sepriano, & Dema, H. (2023). DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS (Studi Kasus & Implementasi AI Menggunakan Berbagai Bahasa Pemrograman). Kota Jambi: PT. Sonpedia Publishing Indonesia.

Reddy, R. R., Vaishnavi, C., Mamatha, C., & Ananthakumaran, S. (2021). Location‐Aware Keyword Query Suggestion Techniques With Artificial Intelligence Perspective. In A. K. Tyagi (Ed.), Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications (pp. 35–52). Scrivener Publishing LLC. Retrieved from https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781119785750.ch2

Tim Redaksi Sentra Publikasi. (2023). Cegah Praktik Plagiarisme, Dosen Unpad Kurangi Nilai Mahasiswa yang Salin Persis Jawaban dari ChatGPT.

van Dis, E. A., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614(7947), 224–226. doi: 10.1038/d41586-023-00288-7

Ventayen, R. J. M. (2023). OpenAI ChatGPT Generated Results: Similarity Index of Artificial Intelligence-Based Contents. SSRN. Retrieved from https://ssrn.com/abstract=4332664

Published

2023-05-24

How to Cite

Maghfiroh, A., & Iskandar, R. (2023). Checking the Level of Similarity of ChatGPT Answers to Vocational Education Prompts. Journal of Education and Teaching (JET), 4(3), 308-315. https://doi.org/10.51454/jet.v4i3.267