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Journal : journal of social science utilizing technology

Language Learning through AI Chatbots: Effectiveness and Cognitive Load Analysis Muh. Safar; Dini Anggraheni
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1346

Abstract

Background. The use of AI chatbots in language learning has gained popularity due to their accessibility and ability to provide interactive practice. However, concerns regarding their effectiveness in improving language skills and the potential cognitive load they place on learners remain underexplored. With the increasing integration of AI in education, understanding how these tools impact language acquisition is critical for optimizing learning outcomes. Purpose. This study aims to evaluate the effectiveness of AI chatbots in language learning and analyze the cognitive load experienced by learners during chatbot interactions. Method. A mixed-methods approach was used, combining quantitative assessments of language proficiency before and after using an AI chatbot for a three-week period, with qualitative interviews to assess learner perceptions of cognitive load. Participants included 60 university students learning a new language. Results. The results indicate that AI chatbots significantly improved language skills, particularly in conversational fluency and vocabulary acquisition. However, a moderate level of cognitive load was reported by learners, primarily due to the need to simultaneously engage in real-time conversation and process feedback. While the cognitive load was not overwhelming, it varied based on individual learner characteristics, such as prior language proficiency and familiarity with AI tools. Conclusion. In conclusion, AI chatbots offer an effective method for enhancing language learning, particularly in improving fluency and vocabulary. However, managing cognitive load is crucial to maximizing their educational potential. Further research is recommended to explore adaptive chatbot designs that can tailor interactions to individual learner needs.
Co-Authors A. Fitriani A. Fitriani A. Muh. Taufiq A. Nurhabibi Marwil Agus Mukholid Agusalim Agusalim Agustinus Lewerissa Akmal Hamsa Almira Ulimaz Ambarita, Monica Roito Andi Srimularahmah Arief Setyo Nugroho Armita Permatasari Arum Putri Rahayu AUGUSTA DE JESUS MAGALHAES Baktiar Nasution Baso Intang Sappaile Cindi Citra Siwi Hanayanti Corolina Sasabone Debi Febianto Diana Sartika Didi Sudrajat Dini Anggraheni Dwi Syukriady Emanuel Bai Samuel Kase Endang Fatmawati Eneng Martini Faisal Kemal Fakhry Amin Fryan Sopacua Fujiono Fujiono Grace Citra Dewi Idrus Idrus Ihramsari Akidah Ilwandri Ilwandri Indra Tjahyadi Irna Fitriana Jasiah Jasiah Jihan Jihan Kaniah Kaniah Khalid Rahman Laros Tuhuteru Lestari Budianto Loso Judijanto Luis Santos M. Saufi Mas'ud Muhammadiah Mas’ud Muhammadiyah Mihrab Afnanda Moza Suzana MS. Viktor Purhanudin Muhammad Asdar Muhammad Ihsan Dacholfany Nina Anis Novelti Nur Indah Sari Nur Lilis Nuraini Nuramila Nuramila Nurmaya Medopa Nurwakia Nurwakia Peni Susapti R. Nurhayati Ratna Susanti Ria Agustina Ridayani Ridayani Rulik Endarwati Rustiyana, Rustiyana Sabil Mokodenseho Samuel Mamonto Sarniyati Sarniyati Sasabone, Carolina Sembiring, Darmawanta Septiana Wulandari Siti Shofiah Sitriah Salim Utina Solissa, Everhard Markiano Sri Yunita Ningsih St. Maryam Aras Suarnita Suarnita Sudadi Sukini Sukini Sumarni Rumfot Suud Sarim Karimullah Suwarni Suyatmo Suyuti Suyuti Syafruddin Syafruddin syahrul, muhammad Tabelessy, Novita Thrisia Monica Tomi Apra Santosa Tri Amanat Triyani Triyani Usmaedi Usmaedi Wahyu Windayanti Yoesoep Edhie Rachmad Yohanis Hukubun Yosep Heristyo Endro Baruno Yustina Sri Ekwandari