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Relevant bibliographies by topics / AI-assisted Teaching

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Academic literature on the topic 'AI-assisted Teaching'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "AI-assisted Teaching"

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Wu, Zhanghua, Rawi Buaduang, Alan Robert White, Tubagus Darodjat, and Supot Rattanapun. "The impact of artificial intelligence-assisted teaching on enhancing physical education quality in secondary vocational schools." International Journal of Innovative Research and Scientific Studies 8, no. 4 (2025): 1152–60. https://doi.org/10.53894/ijirss.v8i4.8019.

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This study investigates the effects of the sports prescription teaching model and artificial intelligence (AI)-assisted teaching on the intelligent teaching process and the overall quality of physical education (PE) instruction in secondary vocational schools. It further examines the mediating role of the intelligent teaching process in enhancing teaching outcomes. A quantitative research design was employed, with data collected from 414 students across five secondary vocational schools in Nanning, China. The study used descriptive statistics, validity and reliability testing, correlation anal

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Sun, Yonglu. "Practical Research on Optimizing Primary School Science Experiment Teaching with Artificial Intelligence Technology." Journal of Education and Educational Research 13, no. 2 (2025): 52–56. https://doi.org/10.54097/13ct6v97.

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This study focuses on using artificial intelligence (AI) technology to optimize primary school science experiment teaching. Through an analysis of the current application status of AI in primary school science experiment teaching, it was found that problems such as limited application scope, scarce teaching resources, and insufficient teacher application capabilities exist. Research methods including literature review, questionnaire surveys, and teaching experiments were employed to construct an AI-assisted primary school science experiment teaching model, optimizing various aspects such as ex

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Ma, Lin. "An Exploration of the Ability of AI to Assist College English Writing Teaching." Journal of Educational Research and Policies 6, no. 10 (2024): 54–55. http://dx.doi.org/10.53469/jerp.2024.06(10).14.

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The paper is an exploratory paper on AI-assisted college English writing teaching, which mainly discusses the problems of traditional college English writing teaching as well as the potential and practical strategies of AI technology in teaching.

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Wang, Jing, Jieren Zhang, Lina Chen, and Jianbiao Dai. "Study of Artificial Intelligence-Assisted English Oral Teaching." Scientific Journal of Intelligent Systems Research 6, no. 8 (2024): 1–8. http://dx.doi.org/10.54691/8965yk53.

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This study investigates and practices the auxiliary role of Artificial Intelligence (AI) technology, especially Large Language Models (LLM) and Text-to-Speech (TTS) technology, in English oral teaching. In the study, an AI-based LLM oral dialogue platform was constructed to replace teachers for one-on-one interactive training with students. It has been applied in college English teaching in various universities, and teaching data has been collected and analyzed in real-time. The effectiveness of AI technology in assisting college English oral teaching was evaluated, and the role of AI technolo

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Li, Ying, and Nian Liao. "From Replacement to Symbiosis: A Grounded Theory Study on AI-Assisted Teaching Models in Secondary School History Classrooms." Innovative Applications of AI 2, no. 1 (2025): 46–52. https://doi.org/10.70695/iaai202501a10.

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This study analyzes and explores AI-assisted teaching models in secondary school history classrooms through observations of teaching activities. The research findings reveal a significant evolution in AI's role in history teaching, transitioning from a "replacement" phase to a "symbiosis" phase. In the "replacement" phase, AI primarily undertakes foundational tasks such as chronological ordering and historical data classification. While AI significantly enhances classroom efficiency in this stage, it fails to effectively stimulate students' deep thinking and critical analysis. With technologic

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N, Moulieswaran, and Prasantha Kumar N S. "Investigating ESL Learners’ Perception and Problem towards Artificial Intelligence (AI) -Assisted English Language Learning and Teaching." World Journal of English Language 13, no. 5 (2023): 290. http://dx.doi.org/10.5430/wjel.v13n5p290.

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The contemporary language learning strategy, Artificial Intelligence (AI) Assisted Language Learning (AI-ALL), incorporates AI-powered applications to support learners' learning activities. Many scholars have been experimenting with AI applications concerning activities relevant to education. The major objectives of this study are 1) The ESL learners' perspectives concerning AI-assisted English language learning and teaching; 2). ESL learners’ problems concerning artificial AI-assisted English language learning and teaching. The present investigation employed a quantitative methodology utilizi

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Okata, Ngozi Gift, and Akinsanya Atchrimi Adebayo. "Exploring (AI) Artificial Intelligence's Role in Language Teaching and Learning: A Review of Key Technologies and Their Applications." Beyond Babel: A Publication of the Dept. of Languages and Literary Studies Babcock University, Ogun State, Nigeria 8, no. 2 (2025): 50–73. https://doi.org/10.5281/zenodo.14599743.

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<strong>Abstract</strong> Artificial Intelligence (AI) is revolutionizing various aspects of education and is increasingly being integrated into language teaching and learning. This article reviews the literature to examine key trends and findings related to AI technologies and their applications for second and foreign language education. It focuses on Natural Language Processing (NLP), Data-Driven Learning (DDL), Automated Writing Evaluation (AWE), Computer-assisted Dynamic Assessment (CDA), Intelligent Tutoring Systems (ITSs), Automatic Speech Recognition (ASR), and chatbots, all within the

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Zhu, Yunyi. "The Impact of AI-Assisted Teaching on Students' Learning and Psychology." Journal of Education, Humanities and Social Sciences 38 (September 28, 2024): 111–16. http://dx.doi.org/10.54097/k7a37d11.

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The integration of artificial intelligence (AI) in education has garnered significant attention, yet its implications on student outcomes require further exploration. This paper analyzes the impact of AI-assisted teaching on students' learning and psychological well-being. Through a comprehensive review of existing AI applications in education, including intelligent tutoring systems and educational chatbots, the study examines how these technologies influence academic performance and psychological health. The findings indicate that AI-assisted teaching enhances learning outcomes by providing p

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Lee, Ching-Fen, and Shain-May Tang. "Can AI Robot Teaching Improve Children’s Performance in Housework? A Quasi-Experimental Study." Children 11, no. 11 (2024): 1330. http://dx.doi.org/10.3390/children11111330.

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Background: The primary objective of this study is to explore the effects of using Artificial Intelligence (AI) robot-assisted instruction in preschool activities on young children’s performance in housework. Methods: A quasi-experimental design was employed, with an experimental group and two control groups, to observe changes in children’s performance in housework before and after AI robot-assisted teaching. The study sample consisted of preschoolers from metropolitan Taipei, with 65 children in the experimental group, 53 in control group 1, and 75 in control group 2. Children participating

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Pham, Thanh, Thanh Binh Nguyen, Son Ha, and Ngoc Thanh Nguyen Ngoc. "Digital transformation in engineering education: Exploring the potential of AI-assisted learning." Australasian Journal of Educational Technology 39, no. 5 (2023): 1–19. http://dx.doi.org/10.14742/ajet.8825.

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This research explored the potential of artificial intelligence (AI)-assisted learning using ChatGPT in an engineering course at a university in South-east Asia. The study investigated the benefits and challenges that students may encounter when utilising ChatGPT-3.5 as a learning tool. This research developed an AI-assisted learning flow that empowers learners and lecturers to integrate ChatGPT into their teaching and learning processes. The flow was subsequently used to validate and assess a variety of exercises, tutorial tasks and assessment-like questions for the course under study. Introd

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Books on the topic "AI-assisted Teaching"

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Panconesi, Gianni, and Maria Guida. Handbook of Research on Teaching with Virtual Environments and AI. IGI Global, 2021.

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Panconesi, Gianni, and Maria Guida. Handbook of Research on Teaching with Virtual Environments and AI. IGI Global, 2021.

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Panconesi, Gianni, and Maria Guida. Handbook of Research on Teaching with Virtual Environments and AI. IGI Global, 2021.

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Panconesi, Gianni, and Maria Guida. Handbook of Research on Teaching with Virtual Environments and AI. IGI Global, 2021.

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Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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Verma, Shivani, and Pradeep Tomar. Impact of AI Technologies on Teaching, Learning, and Research in Higher Education. IGI Global, 2020.

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Book chapters on the topic "AI-assisted Teaching"

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Kurni, Muralidhar, Mujeeb Shaik Mohammed, and K. G. Srinivasa. "AI-Assisted Remote Proctored Examinations." In A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32653-0_11.

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Xia, Jinling, Huafeng Liu, and Wenbin Liu. "AI-Based IWrite Assisted English Writing Teaching." In The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89511-2_19.

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Meng, Xin. "Study on Artificial Intelligence (AI) Assisted English Linguistics Teaching System." In Atlantis Highlights in Social Sciences, Education and Humanities. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-192-0_67.

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Li, Jingtai, and Jiaju He. "Research on AI-Assisted Teaching Mode for English Teaching from the Embodied Cognitive Perspective." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4132-0_35.

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Li, Qing. "Introduction of Greek Mythological Films into AI-Assisted American Literature Teaching." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4258-6_86.

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Niu, Shuanghong Jenny, Xiaoqing Li, and Jiutong Luo. "Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning." In AI in Learning: Designing the Future. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09687-7_13.

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AbstractThis chapter aims to provide a better understanding of how AI technology can be used to assist in teaching and learning at schools. The Smart Learning Partner (SLP) educational platform is based on AI technology to provide new possibilities for individualized learning and more educational resources. We used a case study approach to investigate how this AI-aided SLP platform helped to assist in teaching and learning from the multiple users’ perspectives of students, teachers, and the principal at a Chinese school. This chapter starts with a description of AI used in education and learning. The AI-aided SLP educational platform is then presented to illustrate in what ways it works to assist in teaching and learning. Based on the users’ self-reported experience, this platform can support students’ learning by providing students with individualized diagnostic feedback and assessments as well as information about the progress of their learning. In addition, students receive recommendations of micro lectures from the platform to aid improvement based on the students’ assessment results. Additionally, students can also access various micro lectures according to their interests. This platform provides teachers with reports of real-time learning situations and progress at the individual or class level. Accordingly, teachers can better adjust their pedagogical decision and teaching according to the students’ needs. The principal used the information to allocate resources and assist in curriculum planning at school. In conclusion, all users positively stated that this AI-aided SLP platform assisted in teaching and learning at school even though there were still certain challenges. At the end of the chapter, recommendations for the future platform design are offered.

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Chang, Shih-Chuan, and Yung-Chun Chang. "Teaching Practices and Effectiveness Assessment of AI Courses Assisted by Large Language Models." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-8892-0_8.

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Wang, Jie. "Computer AI-assisted Higher Vocational English Teaching in the Development of Global Competence in Nautical Professions." In Advances in Intelligent Systems Research. Atlantis Press International BV, 2024. https://doi.org/10.2991/978-94-6463-600-0_17.

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Oh, Eun-Jou. "A Case Study of an AI-Assisted CLIL Approach: A College English Course for Global Citizenship and Global Competence in an EFL Setting." In New Language Learning and Teaching Environments. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83561-2_10.

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Amante-Nochefranca, Gemma, Olga Orbase-Sandal, Ericson Olario Alieto, et al. "AI-Assisted English Language Learning and Teaching in a Developing Country: An Investigation of ESl Student’s Beliefs and Challenges." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48465-0_37.

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Conference papers on the topic "AI-assisted Teaching"

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Liu, Mingyang, Zhen Liu, Yu Wang, Kang Yi, and Jing Xu. "AI-Assisted Cooking Teaching System." In 2024 11th International Conference on Machine Intelligence Theory and Applications (MiTA). IEEE, 2024. http://dx.doi.org/10.1109/mita60795.2024.10751688.

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Madshaven, Julie Madelen, Apostolos Spanos, Christian Walter Omlin, Frank Reichert, and Christian R. Simonsen. "AI-ASSISTED GAME-BASED LEARNING IN TEACHING HISTORICAL CONSCIOUSNESS: BENEFITS AND CHALLENGES." In 19th International Technology, Education and Development Conference. IATED, 2025. https://doi.org/10.21125/inted.2025.1217.

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Lawrance, Joy Christy, Priya Sambath, Crispine Shiny, Mubashira Vazhangal, Prema S, and B. Kiran Bala. "Developing an AI-Assisted Multilingual Adaptive Learning System for Personalized English Language Teaching." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716887.

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Tiwari, Shikha, Harsha Tewani, Gunjan Tewani, Vijay Singh, and Garima Sahu. "AI Assisted Teaching Support for Answering Frequently Asked Questions and Generating Educational Content." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911283.

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Agkathidis, Asterios, Yang Song, and Ioanna Symeonidou. "AI-Assisted Design: Utilising artificial intelligence as a generative form-finding tool in architectural design studio teaching." In eCAADe 2024: Data-Driven Intelligence. eCAADe, 2024. http://dx.doi.org/10.52842/conf.ecaade.2024.2.619.

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Li, Jingtai. "Research on AI-assisted Hybrid Teaching for English Writing." In 2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE). IEEE, 2021. http://dx.doi.org/10.1109/cipae53742.2021.00080.

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Lai, Pauli, Julia Chen, Vicky Man, and Chi Ho Chan. "A New Frontier in AI-Assisted English Oral Presentation Assessment." In 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). IEEE, 2023. http://dx.doi.org/10.1109/tale56641.2023.10398320.

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Chen, Ke, and Haifeng Liu. "Predictive diagnosis and practice path of orientation movement AI-assisted teaching." In 2023 3rd International Conference on Information Technology and Contemporary Sports (TCS). IEEE, 2023. http://dx.doi.org/10.1109/tcs59553.2023.10455210.

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Ru, Keye. "Research on AI-Assisted Teaching Strategies and Educational Technology System Models." In ICAIE 2024: 2024 3rd International Conference on Artificial Intelligence and Education. ACM, 2024. https://doi.org/10.1145/3722237.3722272.

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Li, Jingtai, and Rong Wen. "Research on AI-assisted Teaching Mode for English Teaching from the Perspective of Total Physical Response (TPR)." In 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021). Atlantis Press, 2022. http://dx.doi.org/10.2991/ahis.k.220601.034.

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