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Gotowe bibliografie tematyczne / AI-enhanced teaching

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Gotowa bibliografia na temat „AI-enhanced teaching”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "AI-enhanced teaching"

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Mishra, Mr Siddhant. "Revolutionizing Education: The Impact of AI-Enhanced Teaching Strategies." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 9–32. http://dx.doi.org/10.22214/ijraset.2024.64127.

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In recent years, the integration of Artificial Intelligence (AI) into educational settings has revolutionized traditional teaching methodologies, leading to the development of innovative teaching strategies. This paper explores how AI-enhanced approaches are transforming education by personalizing learning experiences, improving student engagement, and optimizing instructional methods. Through adaptive learning platforms, AI tailors educational content to meet individual student needs, fostering a more inclusive and effective learning environment. Intelligent tutoring systems provide real-time

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Adel, Mohammed Ahmed Abou, Moustafa Mohamed Abouelnour, Mohammad Issa Alhourani, and Asmaa A. Awad. "Towards Intelligent Universities Enhanced with Artificial Intelligence (AI)." Journal of Infrastructure, Policy and Development 9, no. 1 (2025): 10412. https://doi.org/10.24294/jipd10412.

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This paper presents a comprehensive and integrated paradigm for intelligent universities using artificial intelligence (AI) to transform management systems and teaching, thus complementing sustainable development objectives. Through a systematic examination of top worldwide universities’ AI applications, this study reveals key achievements, obstacles, and strategies for successfully implementing AI-driven intelligent universities. Every case study focuses on a particular AI-driven project, including the adaptive learning systems at MIT, the AI teaching assistant Jill Watson at Georgia Tech, an

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Muhammad Faez Nurazman Amrullah. "Human-AI Collaboration in Education: Designing Effective Teacher-AI Partnerships for Enhanced Learning." Communications on Applied Nonlinear Analysis 32, no. 9s (2025): 1865–69. https://doi.org/10.52783/cana.v32.4357.

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Human-AI collaboration in education represents a transformative shift in teaching and learning practices, offering potential to enhance educational outcomes through innovative teacher-AI partnerships. This review article provides a comprehensive analysis of the current literature on the integration of AI technologies in educational settings, focusing on the design and implementation of effective teacher-AI partnerships. The review synthesizes findings from recent studies, evaluates various AI tools and their applications, and identifies key factors for successful collaboration. The discussion

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Cai, Mengsheng. "Research on the AI-Empowered Practice-Oriented Training Mechanism for Postgraduate Students in Police Colleges." Scientific and Social Research 7, no. 4 (2025): 216–21. https://doi.org/10.26689/ssr.v7i4.10454.

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Artificial intelligence (AI) provides an innovative direction for the development of postgraduate education in police colleges. This study investigates the integration of AI with postgraduate education in police colleges, analyzing its role in enhancing teaching quality. Specifically, AI facilitates the reconfiguration of policing pedagogy, AI promotes multidimensional synergy in practical competency development, and AI drives deep integration of “Police Colleges + Public Security Bureau” ecosystems. Based on these findings, the intrinsic mechanisms through which AI empowers postgraduate teach

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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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Marilyn, F. Manzon, and Nelita F. Belena Dr. "Effectiveness of AI-Enhanced Teaching Methods for Students with Learning Disabilities in Selected Schools in Antipolo Rizal: Bases for a Proposed Training Program for AI-Enhanced Integration Program." International Journal of Social Science and Human Research 08, no. 05 (2025): 3102–13. https://doi.org/10.5281/zenodo.15461831.

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This study examined the effectiveness of AI-enhanced teaching methods compared to traditional instructional strategies for students with learning disabilities in selected Special Education (SPED) schools in Antipolo City. Utilizing a mixed-method research design, the study combined quantitative data from surveys with qualitative insights from semi-structured interviews. A total of 30 SPED teachers and administrators participated in the quantitative phase, while 8 respondents provided in-depth qualitative data. The research instrument designed for this study was a comprehensive tool to assess S

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Bhagavathula, Akshaya S. "AI-Enhanced Epidemiology Education: Bridging Technology and Conceptual Understanding." International Journal of Translational Medical Research and Public Health 55 (October 18, 2024): 1–3. http://dx.doi.org/10.25259/ijtmrph_55_2024.

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This article explores the integration of artificial intelligence (AI) and innovative teaching methods in epidemiology education, emphasizing a balanced approach to enhance learning outcomes. While traditional teaching focuses on core concepts and rubric-based evaluation offers consistency, overreliance on these methods can lead to superficial understanding. Creative and experiential learning activities, such as poems, cartoons, and ungrading, foster deeper engagement and mastery. Technological tools such as simulated outbreak investigations, virtual epidemiology games, and augmented reality pr

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Syahrizal, S., Fifi Yasmi, and Thomson Mary. "AI-Enhanced Teaching Materials for Education: A Shift Towards Digitalization." International Journal of Religion 5, no. 1 (2024): 203–17. http://dx.doi.org/10.61707/j6sa1w36.

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Considering recent technological advances and the growing prevalence of digitalization, Islamic educational instruction and training will need to adopt a fresh perspective. The field of artificial intelligence offers a path for additional research that has the potential to have a favorable impact on both the efficiency and the development of competencies. This article describes the process followed to create multimedia-based teaching materials for Islamic religious education subjects used in Senior High Schools in West Sumatra. These materials were designed to assist Islamic education students

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Okhunov, Mukhammadyusuf. "INTEGRATING AI TOOLS IN CLASSROOMS OF TEACHING ENGLISH AT UNIVERSITIES." Oriental Renaissance: Innovative, educational, natural and social sciences 4, no. 24 (2024): 133–36. https://doi.org/10.5281/zenodo.14208838.

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<em>The integration of Artificial Intelligence (AI) in university can offer advanced tools for personalized learning, engagement, and real-time feedback. This article examines the methodologies behind the use of AI in English language teaching and focuses on AI-powered applications such as chatbots, adaptive learning platforms, and speech recognition software. It highlights the pedagogical benefits, such as tailored instruction and AI-driven assessments, and addresses potential challenges, including data privacy concerns and the digital divide. The future of AI in ELT points to even more sophi

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Li, Jing, and Quanwei Huang. "Navigating Ethical Dilemmas in AI-Enhanced Education." International Journal of Knowledge Management 21, no. 1 (2025): 1–21. https://doi.org/10.4018/ijkm.382384.

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With the rapid advancement of artificial intelligence (AI) in education, AI-enhanced learning is driving profound pedagogical shifts, offering personalized teaching and resource optimization while raising ethical concerns such as data privacy, algorithmic bias, intellectual property, transparency, and equity. Using bibliometric methods, the authors of this study systematically analyzed global research on AI ethics in education over the past decade, revealing its dynamic evolution. AI ethics in education research has grown exponentially, shifting from early technical feasibility studies to the

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Książki na temat "AI-enhanced teaching"

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Saeed, Rashid A., Zeinab E. Ahmed, and Aisha A. Hassan. AI-Enhanced Teaching Methods. IGI Global, 2024.

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Saeed, Rashid A., Zeinab E. Ahmed, and Aisha A. Hassan. AI-Enhanced Teaching Methods. IGI Global, 2024.

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Części książek na temat "AI-enhanced teaching"

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Peterson, Melissa. "AI-Enhanced Interfaces as Informal Guides." In Advances in Analytics for Learning and Teaching. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14489-9_10.

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Meng, Nanxi, Tetyana K. Dhimolea, and Zain Ali. "AI-Enhanced Education: Teaching and Learning Reimagined." In Educational Communications and Technology: Issues and Innovations. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84729-6_7.

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Øhrstrøm, Peter, David Jakobsen, and Simon Pacis. "Teaching AI Textual Interpretation: A Catalyst for Enhanced Literary Skills." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-98185-2_8.

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Roy, Debopriyo. "Pedagogical Restructuring of Business Communication Courses: AI-Enhanced Prompt Engineering in an EFL Teaching Context." In Intelligent Systems Reference Library. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-71232-6_12.

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Li, Chengfei, and Liting Lu. "AI-Enhanced Intercultural Teaching: Investigating Chinese EFL University Teachers’ Technology Readiness and Acceptance of Large Language Models." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4407-0_10.

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Francis, Jibin, and M. Subha. "AI-Enhanced English Language Learning Through Human–Computer Interaction: Investigating Students’ Habits, Interests, and Innovations for Future Teaching Strategies." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2015-9_37.

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Quiroz-Martínez, Miguel-Ángel, Sergio Díaz-Fernández, Kevin Aguirre-Sánchez, and Mónica-Daniela Gómez-Ríos. "Analysis of Students’ Emotions in Real-Time During Class Sessions Through an Emotion Recognition System." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_8.

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Abstract Recognizing and responding to students’ emotional states during classes is crucial for optimizing learning outcomes, yet it remains challenging for educators. This study presents the development and implementation of a real-time emotion recognition system using convolutional neural networks (CNNs) to analyze students’ facial expressions during in-person classes. Trained on the FER2013 dataset, the system classifies seven distinct emotions with 85% accuracy. An experiment with 20 university students aged 18–25 compared emotional responses across three teaching methodologies: collective

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WU, Siegfried Zhiqiang. "Frontier Application of New Generation AI Technology." In The Urban Book Series. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2560-4_7.

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Abstract This chapter examines the evolution of intelligent manufacturing, intelligent agriculture, intelligent healthcare, and intelligent education in contemporary society, along with their influence on urbanization. In the context of Industry 4.0, intelligent manufacturing is transitioning from traditional mass production models to more customized and intelligent systems, thereby enhancing resource utilization efficiency and transforming production paradigms. China has fostered the advancement of smart manufacturing through its Made in China 2025 initiative, promoting high-quality developme

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Ahmed, Zeinab E., Aisha Hassan Abdalla Hashim, Rashid A. Saeed, and Mamoon M. A. Saeed. "AI-Enhanced Education." In AI-Enhanced Teaching Methods. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2728-9.ch004.

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This chapter explores the symbiotic relationship between AI and education, highlighting its transformative impact and potential to bridge educational disparities. It provides insights into using AI to create engaging and efficient learning environments, covering various topics such as AI-driven teaching techniques, ethical considerations, and case studies. AI tools enhance learning experiences and help address disparities among students. The integration of AI in education can optimize resources, personalize learning, and improve academic performance. However, challenges such as lack of familia

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Osman, Shahinaz Abdelrahman, and Zeinab E. Ahmed. "Navigating AI Integration." In AI-Enhanced Teaching Methods. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2728-9.ch011.

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This chapter explores the practical applications and effective methods of integrating artificial intelligence (AI) into various educational settings. It examines how educational institutions, ranging from K-12 to higher education, have successfully utilized AI to enhance teaching methods, strategies, and learning outcomes through the presentation of compelling case studies. In addition to theoretical frameworks, the chapter offers practical insights into the challenges faced, strategies employed, and lessons learned during the implementation of AI-enhanced teaching approaches. The adoption of

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Streszczenia konferencji na temat "AI-enhanced teaching"

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Gavriilidou, Zoe. "Content and AI Integrated Learning in Language Teaching for Enhanced AI Literacy." In 11th International Conference of the Immersive Learning Research Network. The Immersive Learning Research Network, 2025. https://doi.org/10.56198/nhe4nc11.

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Kakhkharova, Matlyuba, and Sayyora Tuychieva. "AI-Enhanced Pedagogy in Higher Education: Redefining Teaching-Learning Paradigms." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616893.

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Kusam, Venkata Alekhya, Summit Shrestha, Khalid Kattan, Bruce Maxim, and Zheng Song. "A PBL-Based Mini Course Module for Teaching Computer Science Students to Utilize Generative AI for Enhanced Learning." In 2024 IEEE Frontiers in Education Conference (FIE). IEEE, 2024. https://doi.org/10.1109/fie61694.2024.10893118.

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Ren, Zixin, Yuxi Li, Fei Fan, and Huaping Gong. "DESIGNING AI-ENHANCED TEACHING PRODUCTS FOR UNIVERSITY OMO CLASSROOMS." In 26th International Conference on Engineering and Product Design Education. The Design Society, 2024. http://dx.doi.org/10.35199/epde.2024.16.

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Israilidis, John, Wen-Yuan Chen, and Mariza Tsakalerou. "Software Development and Education: Transitioning Towards AI Enhanced Teaching." In 2024 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2024. http://dx.doi.org/10.1109/educon60312.2024.10578564.

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Katsampoxaki-Hodgetts, Kallia, Konstantinos Kotsidis, Stamatios Papadakis, and Panagiotis Anastasiades. "REIMAGINING PRESCHOOL PEDAGOGY: AI-ENHANCED TEACHING THROUGH MULTILITERACIES-INFORMED CURRICULUM INNOVATION." In Proceedings of the 6th International Baltic Symposium on Science and Technology Education (BalticSTE2025). Scientia Socialis Press, 2025. https://doi.org/10.33225/balticste/2025.104.

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The integration of Artificial Intelligence (AI) into early childhood education raises important pedagogical questions about how to design inclusive, multimodal learning experiences that nurture children’s agency and critical literacies. This paper analyzes sixty AI-enhanced teaching scenarios, developed during a national training program, through the lens of Multiliteracies and Learning by Design (LbD). Using thematic analysis, the study identifies how the four knowledge processes—Experiencing, Conceptualizing, Analyzing, and Applying—are supported or constrained by AI-enhanced multimodal acti

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Krebs, Adrijana, Tanja Peherstorfer, and Barbara Ehrenstorfer. "EDUCATOR 5.0 - COMPETENCIES NEEDED FOR TEACHING AND LEARNING IN AI ENHANCED ENVIRONMENTS." In 16th annual International Conference of Education, Research and Innovation. IATED, 2023. http://dx.doi.org/10.21125/iceri.2023.1062.

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Song, Yang. "AI-Enhanced Teaching and Practice of the English Operator Practice Course Based on the AI-TPACK Framework." In ICAIE 2024: 2024 3rd International Conference on Artificial Intelligence and Education. ACM, 2024. https://doi.org/10.1145/3722237.3722295.

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Liu, Fangfang, Jing Xiao, Guang Li, Chen Deng, Linkai Zhu, and Yiyun Wang. "Leveraging Unstructured Teaching Data and AI for Enhanced Pedagogical Practices: A Data-Driven Approach." In AIFE 2024: 2024 International Conference on Artificial Intelligence and Future Education. ACM, 2024. https://doi.org/10.1145/3708394.3708426.

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Ateeq, Ali, Mohammed Abdulrazzaq Alaghbari, Mohammed Alzoraiki, Marwan Milhem, and Baligh Ali Hasan Beshr. "Empowering Academic Success: Integrating AI Tools in University Teaching for Enhanced Assignment and Thesis Guidance." In 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS). IEEE, 2024. http://dx.doi.org/10.1109/icetsis61505.2024.10459686.

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