Pendidikan dan Kecerdasan Buatan: Workshop Penerapan Chat GPT dan Text to Speech Prosa.ai untuk Meningkatkan Keterampilan Dosen di Nusa Tenggara Timur
DOI:
https://doi.org/10.37792/pemimpin.v3i2.986Keywords:
Kecerdasan Buatan dalam Pendidikan, Pengalaman Belajar Personalisasi, Pelatihan Dosen dalam AI, Artificial Intelligence in Education, Personalized Learning Experiences, Teacher Training in AIAbstract
Abstrak
Artificial Intelligence (AI) telah digunakan dalam berbagai aspek pendidikan, termasuk pengenalan pola, pengolahan citra, dan analisis semantik laten. Aplikasi AI seperti ChatGPT dan Text to Speech (TTS) dari Prosa.ai menawarkan potensi untuk mempersonalisasi pengalaman belajar, memberikan umpan balik real-time, dan menilai perkembangan siswa. Meskipun AI menawarkan banyak manfaat, artikel ini juga mengakui tantangan yang ada, seperti kurangnya literasi AI di kalangan siswa dan guru. Untuk mengatasi tantangan ini, artikel ini menyarankan pelaksanaan workshop untuk meningkatkan pemahaman dan keterampilan dosen dalam menggunakan AI dalam proses belajar mengajar. Tujuan dari workshop ini adalah untuk memanfaatkan teknologi ini untuk meningkatkan efektivitas dan efisiensi pembelajaran, serta mendorong inovasi dan kreativitas dalam cara mengajar, pembuatan konten, dan pengelolaan proses pembelajaran.
Kata Kunci : Kecerdasan Buatan dalam Pendidikan, Pengalaman Belajar Personalisasi, Pelatihan Dosen dalam AI
Abstract
Artificial Intelligence (AI) has been utilized in various aspects of education, including pattern recognition, image processing, and latent semantic analysis. AI applications such as ChatGPT and Text to Speech (TTS) from Prosa.ai offer the potential to personalize learning experiences, provide real-time feedback, and assess student progress. Despite the many benefits AI offers, this article also acknowledges the existing challenges, such as the lack of AI literacy among students and teachers. To address these challenges, the article suggests the skills in using AI in the teaching-learning process. The aim of these workshops is to leverage this technology to enhance the effectiveness and efficiency of learning, as well as to encourage innovation and creativity in teaching methods, content creation, and learning process management.
Keywords : Artificial Intelligence in Education, Personalized Learning Experiences, Teacher Training in AI
References
Kung, T. H., Cheatham, M., Medenilla, A., et al. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis.
Ojala, T., Pietikäinen, M., & Mäenpää, T. (2002). Multiresolution gray-scale and rotation invariant texture classification with local binary patterns.
Pajares, M. F. (1992). Teachers’ Beliefs and Educational Research: Cleaning Up a Messy Construct.
Shen, Y., Heacock, L., Elias, J., et al. (2023). ChatGPT and Other Large Language Models Are Double-edged Swords
Additional Files
Published
Issue
Section
License
Copyright (c) 2023 Pengabdian Masyarakat Ilmu Pendidikan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Every works in PEMIMPIN is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
