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Enhancing Self-Regulated Learning with ChatGPT: A Study in Science Education Fanny Rahmatina Rahim; Ari Widodo; Achmad Samsudin; Tina Hayati Dahlan
Proceeding of the International Conference on Mathematical Sciences, Natural Sciences, and Computing Vol. 1 No. 2 (2024): December : Proceeding of the International Conference on Mathematical Sciences,
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/icmsnsc.v1i2.21

Abstract

In the dynamic digital era, artificial intelligence (AI) like ChatGPT presents revolutionary opportunities to advance classroom learning, particularly in science education. This research focuses on the utilization of ChatGPT to develop a learning model that supports the enhancement of students' Self-Regulated Learning (SRL) abilities. The study investigates four main aspects: (1) How can student-centered science learning improve SRL skills such as goal setting, self-management, and reflection? (2) How can the use of active and collaborative learning strategies in science increase students' motivation and SRL? (3) How can formative and summative assessments focused on developing SRL skills enhance science learning? (4) What are the researchers' experiences in using ChatGPT as a tool to develop and refine learning units, and their reflective research on its use as a teaching aid? An exploratory methodology was applied, utilizing ChatGPT to generate teaching materials tailored to classroom needs. Initial findings highlight ChatGPT's potential to support the development of SRL skills by providing quick access to structured and verified information. However, its use must be carefully managed to prevent over-reliance and ensure critical evaluation of sources. Educators are responsible for guiding students in the wise use of AI, fostering critical thinking, and promoting independent learning. Integrating ChatGPT into lesson design can enhance science education by creating engaging units, providing clear rubrics, and supporting formative assessment. This research underscores the positive potential of ChatGPT in fostering inclusive and adaptive science education, while also addressing the need for responsible technology management to ensure student development and well-being.
Co-Authors A. Suhandi Achmad Samsudin Ahmad Fauzi Akmal, Atika Ulya Amali Putra Andromeda Andromeda Anisa Heriskia Annisa Al Mardiyyah Ari Widodo Ari Widodo Ari Widodo Asrizal Asrizal Atifah Hirahmah atifah hirahmah Azzahra, Nabilah Iffah Dea Stevani Suherman Dea Stivani Suherman Defrizal Saputra Desnita Dinovia Fannil Kher Djusmaini Djamas Dwi Rika Andriyani Ernidawati, Ernidawati Fadhila Ulfa Jhora Farida S Fauzi Ahmad Muda Festiyed Ha, Minsu Hidayati Hidayati Hidayati Hidayati Hidayati Hidayati Hufri Hufri Intan Purnama Yani Januarizky, Rida Juita, Zikra Kenedi, Ary Kiswanto Kurnia Andini Lafziatul Hilmi Latif, Ahmad Amirul Letmi Dwiridal Marlina, Deby Mathluba, Khairan Maulita Yusmawati Media Rosha Millya Yasmareni Minsu Ha Murtiani Murtiani Mutiara Dier Naila Fauza Puti Zafirah Maharani Sastra Putra, Amali Putri Dwi Sundari Putri Nabila Rahmah Evita Putri Rahmatania, Finny Rahmi, Miftahurrahmi Ratnawulan . Reinita Reinita Riksa Yustiana, Yusi Riri Jonuarti Rita Iranie Riwandi, Fayolla Octa Riyasni, Selma Rizki Rizki Septi Putri Dewi Shahrul Kadri Ayop Sherlyane Hendri Silvi Yulia Sari Solly Aryza Sonia Nur Riza Suherman, Dea Stevani Suherman, Dea Stivani Syafriani Syafriani Syafriani Syamsu Arlis Tina Hayati Dahlan, Tina Hayati Tiwi Novalia Syahari Tri Zeni Adha Trio Junira Fernando Vira Melodia Savitri Vivi Mardian Wahyuni Satria Dewi Waldi, Atri Windri Suci Gaitari Yenni Darvina Yohandri Yulkifli Yulkifli Yulkifli Yulkifli Yulyanti Harisman Yusi Riksa Yustiana, Yusi Riksa Zuardi Zuardi Zulhelmi, Zulhelmi