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Relevant bibliographies by topics / AI-powered tutor

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Academic literature on the topic 'AI-powered tutor'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "AI-powered tutor"

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Kushwaha, Rohit. "Virtual Tutor: AI-Powered Learning Platform." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2596–601. https://doi.org/10.22214/ijraset.2025.70698.

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Abstract: E-learning has grown exponentially and changed the way education is delivered across the globe. The online remote and self paced learning provided through digitisation has significantly changed the education accessibility landscape. However, there are still gaps in accessibility and real time support that prevents optimal learning experiences. Here the paper presents Virtual Tutor, an AI driven platform that bridges these gaps and provides personalized education. Using cutting edge technologies like Retrieval-Augmented Generation (RAG), Optical Character Recognition (OCR), Text-to-Sp

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Dr., R.Anitha, P. S. Dr.Arthy, and M.Thangamanı. "Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences." Journal of Advanced Research in Artificial Intelligence & It's Applications 2, no. 1 (2024): 18–27. https://doi.org/10.5281/zenodo.13745251.

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<em>With the rapid advancement of technology, the integration of artificial intelligence (AI) in education is transforming traditional learning environments. This paper presents the development of an AI-powered interactive virtual tutor designed to enhance learning experiences through personalized and adaptive instruction. The virtual tutor leverages natural language processing (NLP), machine learning algorithms, and data analytics to provide real-time feedback, individualized learning paths, and interactive dialogues with students. By simulating a human tutor, the AI tutor offers customized e

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Sangkala, Ismail, and Nargiza Sulaymanova Mardonovna. "ARTIFICIAL INTELLIGENCE AS A PERSONALIZED TUTOR IN LANGUAGE LEARNING: A SYSTEMATIC REVIEW." KLASIKAL : JOURNAL OF EDUCATION, LANGUAGE TEACHING AND SCIENCE 6, no. 2 (2024): 565–76. http://dx.doi.org/10.52208/klasikal.v6i2.1193.

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This systematic review comprehensively examines the application of artificial intelligence (AI) in personalized language learning. By analyzing existing research, the study aims to evaluate the effectiveness, challenges, and potential of AI-powered tutoring systems. Findings indicate that AI offers significant benefits, including tailored instruction, increased engagement, and improved accessibility. However, the review also highlights concerns such as data privacy, algorithm bias, and the need for human interaction. Overall, AI presents promising opportunities for enhancing language education

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Yash, Vardhan, and Kumar Pandey Harsh. "AI in Personalized Learning." Journal of Research and Innovation in Technology, Commerce and Management Volume 2, Issue 4 (2025): 2462–66. https://doi.org/10.5281/zenodo.15302329.

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During my research, I discovered something fascinating about how AI is changing education. I looked at how smart technology is creating learning experiences that adapt to each student's needs - kind of like having a personal tutor that understands exactly how you learn best. I spent months gathering information from different schools and talking to students and teachers who use AI-powered learning tools. What I found was eye-opening: when AI helps personalize learning, students tend to learn faster and remember more. In fact, my research showed that students using AI-powered learning tools gen

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Deshpande, Dr Renuka. "Math-Lab: A Math Companion." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2682–88. https://doi.org/10.22214/ijraset.2025.68816.

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MathLab is a substitute knowledge curriculum vitae designed to help students from elementary to high school with their studies. It offers a variety of interactive and AI-powered features to help students better understand and solve complex math problems. Key features include AI Tutor, where students can learn or review topics and even upload news to enhance learning; Air Solve, where students can draw math problems in the air and the system will instantly answer; Quick Solve, an AI-based video generator that creates videos that solve given problems and explain the solution, allowing students t

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Ghosh, Sujeet. "Lingo: An AI-Based Foreign Language Learning Platform." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 613–27. https://doi.org/10.22214/ijraset.2025.72221.

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Abstract: This project presents Lingo, an AI-powered foreign language learning platform developed to assist non-native speakers, particularly Indian learners, in acquiring proficiency in English, German, and French. The application is designed as an interactive, mobile-based learning environment that combines structured lessons, quizzes, and real-time conversation with an AI tutor. The core technologies include Natural Language Processing (NLP) for understanding user inputs, speech recognition for voice interactions, and machine learning for adapting lessons based on user performance. The fron

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Shinde, Ms. Cynthia Nitin. "AI-Driven Education: Balancing Cognitive Enhancement and Creative Thinking." International Journal of Advance and Applied Research 6, no. 25 (2025): 188–92. https://doi.org/10.5281/zenodo.15295061.

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<strong>Abstract:</strong> Technology is climbing the ladder of rapid advancement, and at its core lies artificial intelligence, a transformative force reshaping industries and redefining human potential. In the realm of education, AI-driven tools are emerging as game changers, offering personalized learning experiences, instant feedback, and adaptive teaching methodologies. With AI seamlessly integrated into classrooms, students can access information effortlessly, sharpen problem-solving skills, and cultivate critical thinking. However, as AI becomes a silent tutor in students' academic jour

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王, 子奇. "Construction of an AI-Powered Interactive Digital Tutor and Its Application in Materials Science Laboratory Teaching." Advances in Education 15, no. 06 (2025): 718–21. https://doi.org/10.12677/ae.2025.1561051.

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McNab, Anna, and Christopher Wright. "Enhancing Introductory Coding Courses with ChatGPT." World Journal of Information Systems 2, no. 1 (2025): 1–9. https://doi.org/10.17013/wjis.v2i1.27.

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This paper explores the integration of generative-AI-powered tools like ChatGPT into teaching introductory coding courses, focusing specifically on a Python course at the college level. It discusses the potential of these tools to revolutionize the learning experience by providing interactive, personalized, and immediate support to students, much like a personal digital tutor. The paper outlines five types of prompts where ChatGPT can be particularly beneficial: (1) clarifications of coding concepts, (2) additional explanations for challenging concepts, (3) coding exercises with problem statem

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Wasif, Mohammad. "AI-Teaching Chatbot: Personalized Learning Platform with an AI Teaching Bot." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48384.

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Over the past few years, educators have faced mounting pressure to deliver personalized support to ever-larger and more diverse student cohorts—a challenge that traditional methods struggle to meet effectively. AI-powered teaching chatbots have emerged as a promising solution, offering students instant, tailored explanations and practice exercises around the clock. In a recent pilot involving 100 varied academic queries, our chatbot achieved 92% factual accuracy, mirroring expert-verified answers in most cases. Meanwhile, average response times consistently fell below five seconds, ensuring le

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Book chapters on the topic "AI-powered tutor"

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Ghamry-Barrin, Sarah, Marie-Caroline Dieu-Nosjean, and Marylou Panouillot. "Automated Quantification of Tertiary Lymphoid Structures in Human Tumor Samples Using Immunofluorescence and AI-Powered Analysis Pipeline." In Methods in Molecular Biology. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-4184-2_11.

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Hernandez-Ledezma, Luis J., and Uvaldina Janecek. "AI-Guided Professional Development." In Advances in Computational Intelligence and Robotics. IGI Global Scientific Publishing, 2025. https://doi.org/10.4018/979-8-3373-1122-7.ch009.

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This chapter presents a Vygotskian approach to AI-guided professional development through the case study of Verónica, an AI-powered virtual tutor designed to support preservice and in-service teachers in multilingual classrooms. By integrating constructivist and constructionist learning principles, the model emphasizes personalized, continuous support rooted in sociocultural theory and responsive AI design. The chapter outlines how prompt engineering, fine-tuning, and custom embeddings improve Verónica's context awareness and educational effectiveness. It also explores the hybrid training mode

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Singh, Bhupinder, Christian Kaunert, Sahil Lal, and Manmeet Kaur Arora. "Enhancing AI-Augmented Classrooms." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7255-5.ch004.

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Students often require personalized attention, yet teachers face challenges with large classes and limited time. Tutoring offers tailored guidance and promotes effective learning. An Intelligent Tutoring System (ITS) serves as an excellent alternative to traditional tutoring. This software simulates a real tutor by presenting problems, offering support, correcting mistakes, and providing encouragement. ITS operates as an intelligent, computer-assisted instructional program and it customized environments for education works most when complemented with a teacher-centric methodology. Teachers pla

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Noor, Nurul Hidayana Mohd. "Challenges and Opportunities of Artificial Intelligence (AI) for Malaysian Higher Education." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1827-1.ch006.

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This study uses qualitative methodology, and the study design is based on the interview analysis. The first findings discovered that informants are using eight central AI. These include ChatGPT, Perplexity.ai, Gemini, Elicit, Quiltbot, Grammarly, Microsoft Copilot, and Gamma. The second finding discovered that the students and lecturers believed AI is important for accomplishing tasks effectively, increasing and reducing time consumption, promoting idea generation, problem-solving assistance, providing fast and latest information generation, and personalized learning assistance. The third find

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Vijayalakshmi, A., and Hemlata Joshi. "Elevating Medical Imaging." In Advances in Computational Intelligence and Robotics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5288-5.ch012.

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Artificial Intelligence (AI) applications in the realm of computer vision have witnessed remarkable advancements, reshaping various industries and solving complex problems. In this context, this research focuses on the use of convolutional neural networks (CNNs) for classifying brain tumors - a crucial domain within medical imaging. Leveraging the power of CNNs, this research aimed to accurately classify brain tumor images into “No Tumor” and “Tumor” categories. The achieved test loss of 0.4554 and test accuracy of 75.89% exemplify the potential of AI-powered computer vision in healthcare. The

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Parashar, Bhakti, Ravindra Sharma, Vaibhav Parashar, Geeta Rana, Anand Nayyar, and V. Harish. "An Overview of the Accessibility and Need of AI Animation Tools for Specially Abled Students." In AI-Assisted Special Education for Students With Exceptional Needs. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0378-8.ch001.

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Over 30 years the scope of technological support has broadened from overhead projectors, slides, filmstrips, to 21st century technologies such as 3D simulation and VR. Devices from low tech to high tech are commonly used to assist students with a variety of learning challenges. AI animation tools have the potential to be a useful resource for students with disabilities and can help these students achieve their full potential by including accessibility features and making animations that are especially made for students with special needs. Artificial intelligence is being used to individualize

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Cal-González, Victoria M., and Lorena González-Castro. "Interoperable Medical Application for CTC Counting." In MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220227.

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In the present poster we will explain how the development of an interoperable AI-powered application for Circulating Tumor Cells (CTCs) counting is addressed. We will explain the selection of the most appropriate information for early detection of distant metastasis, local recurrence and the data structure definition to be compliant with international standards and ontologies.

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Babu, C. V. Suresh, and S. Adhithya. "ChatGPT and Other Generative AI Tools in Education." In Creative AI Tools and Ethical Implications in Teaching and Learning. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0205-7.ch007.

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This chapter presents a comprehensive exploration of the transformative influence of generative AI tools in education. It examines the personalized learning experience enabled by AI, the role of AI tools as virtual tutors, content creation aids for educators, and their application in language learning and communication enhancement. Additionally, the chapter delves into the ethical implications associated with AI integration, including data privacy, fairness, and transparency. Practical strategies for responsible AI adoption are proposed, encompassing guidelines for ethical usage and educator t

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"AI Tools and Platforms for Personalized Learning." In Advances in Educational Technologies and Instructional Design. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-3474-4.ch003.

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This chapter explores various AI tools and platforms designed to personalize learning that are available online for teachers to use. The list of selected AI tools will provide information on how AI can analyze student data, notify knowledge gaps, and recommend targeted learning paths. AI-powered tutors and interactive learning environments can provide students with individualized support and foster deeper engagement with the material. Devers functionalities of AI can help educators create a more effective and empowering learning experience for all students. The list of AI tools and platforms i

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Lee, Jaesub, and Youmei Liu. "AI and the Future of Social Science Education." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-2612-2.ch001.

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Artificial Intelligence (AI) is rapidly transforming social science education by enhancing instructional methods, supporting research, and fostering personalized, inclusive learning environments. Tools such as large language models (LLMs), adaptive platforms, and AI-powered tutors enable deeper engagement with complex societal issues and real-world data, while promoting critical thinking and interdisciplinary inquiry. This chapter explores three key aspects of AI integration in social science education: (1) AI as a catalyst for innovation, highlighting its potential to revolutionize teaching a

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Conference papers on the topic "AI-powered tutor"

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Maurya, Kaushal Kumar, Kv Aditya Srivatsa, Kseniia Petukhova, and Ekaterina Kochmar. "Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-long.57.

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Hany, Nancy, Ramez Sherif, Kirollos Emad, Amr Emad, Maha Elsayed, and Hossam Abdelrahman. "Nexia Tutor: An AI-Powered Language Personalized Learning System for Kids with Dyslexia and Reading Challenges." In 2024 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). IEEE, 2024. https://doi.org/10.1109/miucc62295.2024.10783640.

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T P, Jayesh, S. C. Nathan, Keerthana G, R. Satheesh Kumar, and Sonu Varghese K. "An AI-Powered Web Application for Automating Brain Tumor Identification." In 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST). IEEE, 2025. https://doi.org/10.1109/ictest64710.2025.11042640.

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Shahi, Shantanu, Veeramalai Sankaradass, Vaibhava Vasantrao Desai, M. Amina Begum, N. Shilpa, and Anita Soni. "DeepNeuroScan: AI-Powered Brain Tumor Detection Using Machine and Deep Learning Algorithms." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011744.

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Kumar, Sattivada Dinesh, Dhruva R. Rinku, N. Rajeswaran, Safari Bhaskar Rao, Krishnam Harinatha Reddy, and S. Kanakaprabha. "AI-Powered Radiomics and Advanced Deep Learning for Precision Brain Tumor Detection: A Next-Generation Approach." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10801044.

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Kim, Howard, Jaehyun Yoon, Seung Man Lee, et al. "LECTURE-GROUNDED CHATGPT-4 TUTOR: ENHANCING ADULT LEARNER ENGAGEMENT IN DISTANCE LEARNING." In EduCon Singapore – International Conference on Education, 05-06 July 2025. Global Research & Development Services Publishing, 2025. https://doi.org/10.20319/ictel.2025.324342.

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Adult learners in remote university programs often struggle with engagement and satisfaction due to limited real-time interaction and support. This presentation introduces an AI-powered learning tutor that leverages ChatGPT-4 in a context-restricted manner, operating strictly within the instructor’s lecture materials and spoken content. By grounding the AI’s knowledge solely in the course textbooks, slides, transcripts, and other instructor-provided materials, the system delivers domain-specific support that is aligned with the curriculum and instructor’s intent. This controlled knowledge scop

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Beck, Andrew H. "Abstract IA17: AI-powered pathology for precision medicine." In Abstracts: AACR Special Conference on Tumor Immunology and Immunotherapy; November 17-20, 2019; Boston, MA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/2326-6074.tumimm19-ia17.

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Faruq, A. "AI-Driven Brain Tumor Detection and Segmentation Using Computer Vision: A Solution for Accessible Healthcare in Sub-Saharan Africa." In International Conference on Artificial Intelligence and Robotics. Machine Intelligence Research Group (MIRG), 2024. https://doi.org/10.52968/15062079.

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Recent strides in artificial intelligence (AI) and deep learning techniques have propelled the development of an AI-powered brain tumour detection model. This study Uses powerful YOLO(You Only Look Once)Algorithm, neural network optimisation, and image preprocessing to craft a robust AI model capable of accurately detecting and segmenting diverse brain tumour types and normal cases. In this study, we aim to classify brain tumors such as glioma, meningioma, and pituitary tumor from a brain comprehensive dataset of 3000 MRI (Magnetic Resonance Imaging) scans, the model achieves an accuracy of 92

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Gupta, Aarya, and Eshaan Sarda. "Empirical Study on the Role of AI in Modern Education." In Transforming Knowledge: A Multidisciplinary Research on Integrative Learning Across Disciplines. The Bhopal School of Social Sciences, 2025. https://doi.org/10.51767/ic250458.

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Purpose: This research paper aims to explore the evolving role of AI in modern education, analyzing its impact on personalized learning, intelligent tutoring, automated grading, student support, accessibility, and predictive analytics. It will examine how AI-driven tools enhance engagement, improve efficiency, and transform traditional teaching methods. Additionally, the paper will address ethical concerns, such as data privacy, AI biases, and over-reliance on technology. A key challenge discussed will be the financial burden of AI adoption, including costs associated with AI-powered applicati

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Gupta, Aarya, and Eshaan Sarda. "Empirical Study On The Role of AI In Modern Education." In Transforming Knowledge: A Multidisciplinary Research on Integrative Learning Across Disciplines. The Bhopal School of Social Sciences, 2025. https://doi.org/10.51767/ic250461.

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Purpose This research paper aims to explore the evolving role of AI in modern education, analyzing its impact on personalized learning, intelligent tutoring, automated grading, student support, accessibility, and predictive analytics. It will examine how AI-driven tools enhance engagement, improve efficiency, and transform traditional teaching methods. Additionally, the paper will address ethical concerns, such as data privacy, AI biases, and over-reliance on technology. A key challenge discussed will be the financial burden of AI adoption, including costs associated with AI-powered applicatio

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