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Journal articles on the topic 'AI for Quiz Conduction'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Hirulkar, Sagar Ravindra, and Prof. Samata V. Athawale. "Quiz Master AI: An Interactive Machine Learning-Based Quiz Generator." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 5 (2024): 474–82. https://doi.org/10.5281/zenodo.14208814.

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Quiz Master AI is an innovative machine learning-based application designed to create an interactive and engaging platform for quiz-based learning. The primary goal of the project is to develop a system that generates multiple-choice questions (MCQs) from user-provided content and allows users to participate in quizzes, enhancing their learning experience. Participants can level up based on their performance, fostering a competitive and collaborative environment for knowledge acquisition. In Quiz Master AI, users can form groups with a designated group author who provides a paragraph or passag

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Dr.Jayasree, Venkitachalam. "A Study Evaluating Usage of Artificial Intelligence in Higher Education among Faculty Members of Colleges in South Mumbai Region." International Journal of Advance and Applied Research 4, no. 32 (2023): 21–28. https://doi.org/10.5281/zenodo.8433849.

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<strong>Abstract:</strong> Higher education is entering a revolutionary period with impacts on teaching, learning, and institutional operations due to the growth of artificial intelligence (AI) technology. The purpose of conducting this research is to evaluate the awareness of artificial intelligence in higher education among faculty members of South Mumbai Region and also evaluate the demographic profile and usage of AI. The technique used in this study is a Wilcoxon one-sample signed rank test, ANOVA and independent t-test. The outcomes of the research showed that various artificial intellig

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Lan, Shanxi. "Intelligent Teaching Assistants Combining Computer Vision and Natural Language Processing: Enhancing Personalized Tutoring in Online Education." Applied and Computational Engineering 138, no. 1 (2025): 133–38. https://doi.org/10.54254/2755-2721/2025.21383.

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This study explores the potential of Intelligent Teaching Assistants (ITAs) that utilize computer vision (CV) and natural language processing (NLP) technologies to improve personalized educational experiences in online learning environments. The ITA system uses computer vision to track students' facial expressions and physical stance together with eye movement while employing natural language processing to interpret spoken and written student questions for customized responses. The research details the ITA system's structural design which encompasses data gathering and real-time adaptability f

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Susanto, Dias Andris, Andi Priyolistiyanto, Fitra Pinandhita, A. B. Prabowo K.A, and Djoko Sri Bimo. "Utilizing ChatGPT on Designing English Language Teaching (ELT) Materials in Indonesia: Opportunities and Challenges." Celt: A Journal of Culture, English Language Teaching & Literature 24, no. 1 (2024): 157–71. http://dx.doi.org/10.24167/celt.v24i1.11633.

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This study aims to examine the impact of artificial intelligence (AI) on pragmatic English language teaching in universities. The scope of the study is limited to the opportunities and challenges of English language teaching. This study was carried out using a mixed method of conducting surveys and in-depth interviews. A questionnaire link using Google Forms from Spreadsheet was sent to 6 English lecturers via WhatsApp group and personal contact. The study sample consisted of 6 English lecturers from state and private universities in Central Java. Observation, questionnaire analysis, and inter

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Suzuki, Jun, Koji Matshuda, Masatoshi Suzuki, Takuma Kato, Shumpei Miyawaki, and Kyosuke Nishida. "Live Competition: AI King—Quiz AI Japan Championship—." Journal of Natural Language Processing 28, no. 3 (2021): 888–94. http://dx.doi.org/10.5715/jnlp.28.888.

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Deepthi, J. "MCE Website with AI ChаtBot". INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, № 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48166.

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ABSTRACT In the digital era, integrating intelligent systems within academic environments has become essential for enhancing student experiences and providing efficient educational services. This project presents a comprehensive web-based student support portal tailored for Malnad College of Engineering (MCE). Built using React.js, the application delivers multiple interactive features aimed at guiding students in their academic and career journeys. Key functionalities include an AI-powered chatbot, a future course recommendation quiz, detailed guidance on higher studies options, and a role-ba

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Bhargavi, J., R. Naveena, G. Gowtham Raju, and D. Ganesh. "AI Virtual Classroom Assistance Using Zoom." International Scientific Journal of Engineering and Management 04, no. 01 (2025): 1–6. https://doi.org/10.55041/isjem02232.

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This work investigates developing an AI-powered virtual classroom assistant integrated with Zoom. The system enables users to input a topic for a class and select from four AI voice lecturers: Indian male, Indian female, UK male, and UK female. Users can schedule the class once the voice is selected, which generates a link directing them to the official Zoom website. During the 15-minute session, the AI lecturer presents the topic. Post-class, the system automatically generates a PowerPoint presentation on the chosen topic and conducts a quiz to evaluate students. Students scoring low are prov

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Dr., Anitha S., G. Balasurya, Vishruth N. V. Dinu, C. Jenish, and A. Kathiresh. "AI Based Automated MCQ Generator." Journal of Advancement in Software Engineering and Testing 8, no. 3 (2025): 44–50. https://doi.org/10.5281/zenodo.15575106.

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<em>This project aims to develop an AI-based Automated MCQ Generator that can dynamically generate multiple-choice questions from user-provided input such as text topics or uploaded study materials. The development of an AI-powered Automated MCQ Generator capable of dynamically creating multiple-choice questions based on user inputs, including uploaded study materials (PDF, DOCX, TXT files) or manually entered topics. Unlike traditional systems that depend on a pre-existing question database, our solution leverages the Gemini API to generate fresh, contextually relevant questions in real time.

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Raghuvanshi, Deepansh. "Edu AI Summarizer." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1373–76. https://doi.org/10.22214/ijraset.2025.68205.

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Edu AI Summarizer serves as an innovative platform which enhance the educational video experience for students and teachers while helping researchers make the most of their study materials. The platform uses advanced speech-to-text technology along with natural language processing (NLP) to detect video topics after which it forms tidy summaries. Users receive downloadable PDFs containing straightforward well-prepared study materials derived from original video summaries. The system enhances student revision efficiency by providing clear content direction to educators and enables researchers to

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Fernández-Martínez, Carmen, Isidoro Hernán-Losada, and Alberto Fernández. "Early Introduction of AI in Spanish Middle Schools. A Motivational Study." KI - Künstliche Intelligenz 35, no. 2 (2021): 163–70. http://dx.doi.org/10.1007/s13218-021-00735-5.

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AbstractThis paper describes the practical initiative to include Artificial Intelligence (AI) in the Spanish educational system’s curriculum at an early age. This proposal is in line with the current trend of introducing AI in school curricula all over the world. To this end, we propose an Artificial Intelligence workshop for middle schools within the existing subject, Technology, Programming and Robotics. In order to test the suitability of introducing AI at an early age, we conducted the activities at a bilingual middle school in Madrid. As evaluation tools, a quiz and motivational study of

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Utami, Putri Yuli, Muhammad Hakiki, and Ufi Ruhama'. "PENINGKATAN KAPASITAS GURU SMA MUHAMMADIYAH 2 MELALUI RANCANGAN PEMBELAJARAN BASED ARTIFICAL INTELLIGENCE." Jurnal Abdi Insani 11, no. 4 (2024): 2084–93. https://doi.org/10.29303/abdiinsani.v11i4.2010.

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Artificial Intelligence (AI), memungkinkan pembuatan media pembelajaran lebih interaktif, personal, dan efektif, seperti quiz dan video pembelajaran berdasarkan kebutuhan siswa, menggunakan ChatGPT dan Lumio. Tujuan pelatihan untuk meningkatkan pemahaman dan keterampilan guru SMA Muhammadiyah 2 Kota Pontianak dalam pembuatan media ajar bebasis AI menggunakan Chat GPT dan Lumio. Metode pelatihan dilakukan melalui pelatihan (1) Pengenalan ChatGPT dan Lumio (2) Pelatihan rancangan pembelajaran based artificial intelligence bagi guru. Hasil evaluasi nilai post-test rata-rata mengalami kenaikan seb

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Purnama, Fery, Resi Silvia, and Muhammad Elfin Satria. "Peningkatan Kompetensi Guru Dalam Pengembangan Pembelajaran Digital Berbasis Kecerdasan Buatan di SMKN 6 Muaro Jambi." dst 4, no. 2 (2024): 158–66. http://dx.doi.org/10.47709/dst.v4i2.4880.

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Perkembangan teknologi digital saat ini sangat pesat sekali, khususnya dalam penggunaan kecerdasan buatan. Teknologi kecerdasan buatan saat ini bukanlah sesuatu alat yang sulit didapat, saat ini kecerdasan dapat di akses dan digunakan oleh seluruh pengguna internet dimana saja dan kapan saja. Pemanfaatan kecerdasan buatan ini sangat sedikit sekali digunakan oleh guru-guru di SMK Negeri 6 Muaro Jambi untuk pengembangan media pembelajaran, maka dari itu tim pengabdian Masyarakat melakukan pelatihan pengembangan media pembelajaran yaitu pemuatan video pembelajaran dengan OBS, evaluasi pembelajara

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Verma, Shreyas, and John Leddo. "Comparing the Effectiveness between Human-generated Videos and AI-Generated Videos on Learning." International Journal of Social Science and Economic Research 09, no. 10 (2024): 4071–76. http://dx.doi.org/10.46609/ijsser.2024.v09i10.004.

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The present study investigates the relative effectiveness of AI vs. human-generated educational videos on learning. 19 students between the grades of 8 and 12 were given a video to watch on epigenetics, which they had no prior knowledge of. Eight of the students were given a Visla, an AI generative video platform, video on epigenetics while the other eleven were given a humancreated YouTube video on epigenetics. Both videos had the same content. After watching the video students were given a 20-question quiz to complete. Results showed scores on the post-test were virtually identical across th

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Muthoharoh, Luluk, Yuliana Yuliana, Linda Rassiyanti, et al. "Empowering the Future: AI-Based Website Development Training to Boost High School Students' Creativity and Digital Skills." Smart Society 5, no. 1 (2025): 63–70. https://doi.org/10.58524/smartsociety.v5i1.658.

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In the rapidly evolving digital era, Artificial Intelligence (AI) has become one of the key technologies playing a significant role in various fields, including website development. AI-based website development training is a strategic step to enhance the skills and creativity of the younger generation in the era of digitalization. This activity was conducted at SMA Al Huda, South Lampung, with the aim of equipping students with an understanding of basic concepts, steps for creating websites, and how AI can be utilized to enhance creativity in the digital world. The methods used included intera

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Kolitsky, Michael A. "Study pace reveals differences in online learning using R-squared analysis." e-mentor 107, no. 5 (2024): 47–53. https://doi.org/10.15219/em107.1688.

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<p>Highly-enrolled fully online lectures and laboratory classes in Anatomy and Physiology, and higher-level Histology courses, were used to calculate R-squared values that could be linked to how the study method chosen by students impacted their exam grades. Student performance on major exams containing only T/F and multiple-choice questions exhibited better exam results, as did the R-squared values for those who studied using tiny quizzes at a slow pace rather than those who studied with them at a fast pace, indicating that learning was done using the flashcard method. There was a diffe

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Kou, Y. R., C. Y. Wang, and C. J. Lai. "Role of vagal afferents in the acute ventilatory responses to inhaled wood smoke in rats." Journal of Applied Physiology 78, no. 6 (1995): 2070–78. http://dx.doi.org/10.1152/jappl.1995.78.6.2070.

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Spontaneous inhalation of wood smoke (approximately 6 ml) via tracheostomy immediately evoked either a slowing of respiration (SR) or an augmented inspiration (AI) in each of the 76 anesthetized Sprague-Dawley rats studied. The SR was abolished after perineural capsaicin treatment of both cervical vagi (PCT; n = 20) but persisted during cooling of both vagi to 6.7 degrees C (VGC, n = 12); PCT selectively blocked the conduction of unmyelinated C fibers, whereas VGC differentially blocked the conduction of myelinated fibers. In contrast, the AI was eliminated during VGC (n = 10) but was unaffect

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Mazurenko, O. N., V. R. Sobol’, and A. A. Drozd. "Magnetodynamics of conduction electrons in AI in a nonuniform field." Low Temperature Physics 21, no. 1 (1995): 59–64. https://doi.org/10.1063/10.0033758.

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The nature of charge transfer in metals is investigated experimentally and theoretically for Al in a transverse magnetic field. The nonuniformity along the charge flow is simulated by the of the “bent sample” method, which makes it possible to realize a linear and an exponential law of field variation for a relative gradient level of the order of 0.05−1 cm−1. Experimental results are analyzed on the basis of the continuity equation taking into account the linear dependence of magnetoresistance on the field.

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Garg, Chanchal. "AI-Powered Talent Acquisition Platform." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47414.

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Abstract -The fast-paced changing job market creates serious challenges in talent attraction, requiring more effective and data-centric methods to automate the recruitment process. This paper introduces JobPathway, a full-fledged MERN stack application to maximize talent attraction using AI-driven resume parsing and job and profile reminder personalization. Utilizing sophisticated machine learning algorithms, JobPathway processes candidate profiles, identifies them with suitable job openings, and provides timely alerts in order to increase interactions and avoid lost opportunities. Further, th

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Shiva Kumar R Naik, Sahana R, Swasthi N V, Swathi M S, and Uma R. "Edugenius: AI-Powered Smart Learning for The Future." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 6 (2025): 233–39. https://doi.org/10.51583/ijltemas.2025.140600030.

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Abstract — In an age where learning opportunities are abundant but time and attention are limited, personalized learning has become more important than ever. This paper introduces EduGenius, an AI-powered web platform designed to help learners achieve their goals through customized learning experiences. Users can input a topic they want to learn, along with their available time, language preference, and current skill level. The system then generates a personalized roadmap, complete with curated resources, schedules, and quizzes. Using generative AI, EduGenius dynamically adjusts the roadmap ba

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Sulistiyo, Mahmud Dwi, Febryanti Sthevanie, and Gia Septiana Wulandari. "Peningkatan Wawasan Kecerdasan Artifisial di SMK Telkom Bandung Melalui Kegiatan Workshop." Charity 6, no. 1a (2023): 15. http://dx.doi.org/10.25124/charity.v6i1a.5918.

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Wawasan kecerdasan artifisial (AI) merupakan pengetahuan tentang teknologi dan cara kerja kecerdasan artifisial, termasuk bagaimana mesin dan sistem dapat diprogram untuk melakukan tugas-tugas yang biasanya dilakukan oleh manusia. Dengan meningkatnya penggunaan AI di berbagai bidang, termasuk industri, teknologi, dan bisnis, penting bagi siswa di SMK Telkom Bandung untuk memahami dan memiliki wawasan tentang AI. Sayangnya, sampai saat ini, SMK Telkom Bandung masih belum menerapkan materi terkait AI di dalam kurikulumnya. Salah satu cara untuk meningkatkan wawasan tentang AI di kalangan siswa S

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K, Dr Vanishree, and Sowmya S. "AI-Based Framework for Career Advancement." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51583.

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The advancement of artificial intelligence (AI) has opened new possibilities in education and career development. With rising demand for skilled professionals in the digital era, there is a growing need for scalable platforms that provide real-time feedback and personalized career guidance. Existing platforms lack voice-based interaction, personalized guidance, and comprehensive feedback mechanisms. This project addresses these gaps by developing an integrated AI-Based Framework for Career Advancement that combines voice-enabled mock interviews, personalized career planning, resume generation,

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Kavitha Soppari, V. Revathi Chandrika, Yogitha Setty, and O.Sakshith. "Survey on Decovision : Redefine your space with smart decor." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 1931–36. https://doi.org/10.30574/wjarr.2025.26.2.1645.

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This survey introduces Decovision, a smart and modular interior design platform that uses AI, machine learning, and web technologies to offer a personalized home decor experience. It integrates real-time room visualization via Stability AI's image generation API, a style recommendation engine based on a user quiz, and a furniture chatbot that filters IKEA products using natural language queries. Built with Flask and SQLite, the platform emphasizes accessibility and cost-efficiency through open-source tools. Decovision’s scalable architecture supports a human-centered design approach, helping u

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Iqbal, Muhammad. "Artificial Intelligence (AI) Sebagai Media Pembelajaran pada Anak Usia Sekolah Dasar (6-12 Tahun)." Indo-MathEdu Intellectuals Journal 6, no. 1 (2025): 1729–39. https://doi.org/10.54373/imeij.v6i1.2688.

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The research aims to find out the extent to which Artificial Intelligence (AI) can be used as an innovative and effective learning medium for children at elementary school age. The research method used is a qualitative approach that is descriptive-interpretive. The type of research used is library research. The data obtained is a descriptive narrative about Artificial Intelligence (AI) as a Learning Media for Elementary School Age Children (6-12 Years Old). The results of the study show that innovative learning media AI offers various advantages and opportunities in the learning process and pr

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Estalayo-Gutiérrez, Beatriz, María José Álvarez-Pasquín, and Francisco Germain. "Modulation of Asymmetry in Auditory Perception through a Bilateral Auditory Intervention." Symmetry 14, no. 12 (2022): 2490. http://dx.doi.org/10.3390/sym14122490.

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The objective of this work was to analyze the modulating effect of an auditory intervention (AI) on the threshold and symmetry of auditory perception in people with different emotional states. The effects of AI were compared 3 months after using threshold audiometry (air conduction). The studied groups were emotional well-being (EWB) (n = 50, 14 with AI, 36 without AI); anxiety (ANX) (n = 31, 10 with AI, 21 without AI); and mixed group (MIX) (n = 45, 19 with AI, 26 without AI). The EWB group with AI lost the advantage of the left ear due to the hearing gain of the right ear, whereas in EWB wit

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Putri, Luqyana Azmiya, Alviani Nur Baiti Rohmah, and Vika Kartikasari. "Exploring the Potential of Multi-AI (Artificial Intelligence) Integration as an Islamic Education Learning Media Instrument." FENOMENA 16, no. 2 (2024): 75–90. https://doi.org/10.21093/fj.v16i2.9557.

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The emergence of Artificial Intelligence (AI) in digital technology is seen as a symbol of progress, convenience, and intelligence, but also perceived by some as a source of concern, anxiety, and fear. However, AI can be optimized to support human tasks, including developing learning media for Islamic Religious Education (PAI). Many AI tools are freely accessible, making them highly potential educational resources. This study aims to explore the potential of AI as a tool for developing learning media in the context of Islamic education. This research employs a library research approach, analyz

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Jain, Mayank, Nav Neet Pal, Mohd Shadab, Akshu Agarwal, and Mohd Sadim. "Empowering developers with AutoPrep: The future of AI-driven self-learning." International Journal of Research in Engineering and Innovation 09, no. 03 (2025): 96–101. https://doi.org/10.36037/ijrei.2025.9302.

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In the evolving landscape of software development, self-learning tools are becoming increasingly essential for developers aiming to improve their technical skills, problem-solving abilities, and readiness for job placements. AutoPrep is an AI-assisted self-learning platform designed to support aspiring and current developers by providing an interactive, intelligent, and personalized environment for technical preparation. Built using Python and Streamlit, and powered by Google’s Generative AI (Gemini), AutoPrep enables users to engage with dynamically generated quizzes, debug code with AI sugge

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Hyun, Il-Sun. "Effects of Quillbot-assisted paraphrasing practice on EFL college students’ English vocabulary acquisition and perception." Korean Association For Learner-Centered Curriculum And Instruction 24, no. 9 (2024): 673–87. http://dx.doi.org/10.22251/jlcci.2024.24.9.673.

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Objectives This study explored the effects of Quillbot-assisted paraphrasing practice on EFL college students’ English vocabulary acquisition and their attitude toward of Quillbot-paraphraser use. Methods Divided into two, the experimental group (n = 17) performed paraphrasing writing tasks with Quillbot-paraphraser whereas the control group (n = 18) completed the same tasks without it. The two groups took vocabulary quizzes at two-week intervals and the experimental group responded to the questionnaire concerning their perception toward Quillbot-paraphraser use. By Mann-Whitney U test, compar

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Aravapalli, Sri Chaitanya, Akula Ragalahari, Hemanth Pachava, Praveen Kumar Tanarapu, and Durga Suresh Gurani. "Teaching and Learning Enhancement using Computer Vision and Generative AI." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 1109–17. https://doi.org/10.5281/zenodo.14949832.

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This research introduces a new method for classroom teaching development which combines intelligent AI components with gesture programming solutions and team-based tooling. Users can perform blackboard activities by writing drawings through the Virtual Hand-Controlled Blackboard system using hand gestures. Users can use this function to both record and download sessions to enhance their study capabilities. Through its AI-Powered Quiz Platform that runs on GeniusAI the system turns existing documents into quizzes which both tracks teacher monitoring of student progress and allows students to bu

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GC, Prem Bahadur. "The Use of Artificial Intelligence among University Students: A Narrative Inquiry." Academia Journal of Humanities & Social Sciences 2 (April 1, 2025): 49–61. https://doi.org/10.3126/ajhss.v2i1.77160.

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Students in higher education institutions are now more frequently using artificial intelligence (AI) in their writing assignments. This paper investigates the main purposes of university students, using AI tools while writing their assignments. The study employs narrative inquiry as a qualitative research method through interviews. The interviews were conducted with five students of Master's Level at Myagdi Multiple Campus (MMC), Beni Bazaar, Nepal. The thematic analysis method was used to identify the patterns and trends of using AI tools. The utilization of AI in writing assignments serves t

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Wang, Rong, Chuanyong Liu, and Tian Ma. "Evaluation of a virtual neurophysiology laboratory as a new pedagogical tool for medical undergraduate students in China." Advances in Physiology Education 42, no. 4 (2018): 704–10. http://dx.doi.org/10.1152/advan.00088.2018.

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This study compared the effect of a virtual laboratory, a living tissue laboratory, and a blended laboratory on student learning about the generation and conduction of neural action potentials and perceptions about life science. Sixty-three second-year medical students were randomly assigned to one of three groups (living tissue laboratory, virtual laboratory, and blended group). The students conducted the practical activity, and then they were given a postlaboratory quiz and an attitude survey. The blended group euthanized fewer animals and spent less time to finish the animal experiment than

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Cho, Eun Jung, and Juhyun Back. "The Impact of AI-Based Learning Tools on Vocabulary Acquisition: Focusing on ChatGPT and ZEP Quiz." NEW STUDIES OF ENGLISH LANGUAGE & LITERATURE 90 (February 28, 2025): 119–46. https://doi.org/10.21087/nsell.2025.02.90.119.

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Saifullah, Saifullah, Hendri Yawan, Nining Syafitri, and Sitti Nurhaliza. "INTEGRATING AI CHATBOT INTO LEARNING MANAGEMENT SYSTEM: ENHANCING STUDENT ENGAGEMENT AND LEARNING OUTCOMES." Dharmas Education Journal (DE_Journal) 5, no. 2 (2024): 1346–59. https://doi.org/10.56667/dejournal.v5i2.1605.

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This study investigates the integration of chatbots into Learning Management Systems (LMS) to enhance educational experiences, addressing the challenge of student engagement and support in digital learning environments. Utilizing a Research and Development (R&D) approach, the study systematically developed and implemented a chatbot within the "Mesikola" LMS, analyzing data from surveys, interviews, and pilot testing to assess functionality, usability, and learning outcomes. The data revealed high user satisfaction with features such as real-time feedback and multilingual support, with 87%

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Zhang, Huai, Dahui Wang, Haiyan Ma, et al. "Increased atherogenic index in the general hearing loss population." Open Medicine 15, no. 1 (2020): 349–57. http://dx.doi.org/10.1515/med-2020-0003.

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AbstractPurposeThe purpose of this study was to evaluate the association of hearing loss with atherogenic index (AI) in the general population.MethodsA multistage study using cluster random sampling method was conducted in the Zhejiang province from 2016 to 2018. Pure-tone air-conduction hearing thresholds were measured at frequencies of 0.125–8 kHz for each subject. After obtaining their consent, all participants were asked to provide their own plasma lipid data.ResultsA total of 3,414 eligible participants were included, 1,765 (51.7%) were men and 1,649 (48.3%) were women and 1,113 (32.6%) h

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Afolabi I.Y, Ugah J.O, Igwe J.S, and Nwali M.E. "DEVELOPMENT OF AN AI-DRIVEN ADAPTIVE LEARNING MANAGEMENT SYSTEM USING DATA ANALYTICS." International Journal of Scientific Research in Modern Science and Technology 4, no. 7 (2025): 52–63. https://doi.org/10.59828/ijsrmst.v4i7.349.

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This study presents the development of an AI-driven Adaptive Learning Management System (LMS) that delivers personalized learning experiences using data analytics and natural language processing. The system addresses limitations of traditional LMS platforms by dynamically adapting content based on student performance in real-time. Designed with Object-Oriented Methodology and the CRISP-DM data analytics model, the system integrates Python, web technologies, and a BERT (Bidirectional Encoder Representations from Transformers)-based semantic engine. When students fail a quiz, the BERT model iden

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Rosqueta, Lourd Rageeve A. "Perceptions and Challenges: A Qualitative Inquiry of Elementary Teachers' Experiences with AI-Powered Tools in DepEd Dingras District I." Asian Journal of Education and Social Studies 51, no. 6 (2025): 1078–88. https://doi.org/10.9734/ajess/2025/v51i62059.

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This qualitative case study explores how elementary teachers in the DepEd Dingras District I adopt AI-powered tools, examining their experiences, challenges, and perceptions. The study seeks to answer the following questions: (1) How do teachers discover, learn, and integrate AI tools into daily instruction? (2) What technical, pedagogical, and systemic barriers do they face? (3) How do teachers perceive AI’s role in improving teaching efficiency and student engagement compared to traditional methods? Using purposive and snowball sampling, 10 teachers with AI experience were selected to answer

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Newcomer, Kimberley Lynn, Lisa A. Hall, Marianne Pearson, and Alex Guevara. "Colorectal Cancer Alliance: Promoting prevention and early detection with screening navigation and a personalized recommendation via a digital screening quiz tool for colorectal cancer." JCO Oncology Practice 20, no. 10_suppl (2024): 38. http://dx.doi.org/10.1200/op.2024.20.10_suppl.38.

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38 Background: Evaluating the effectiveness of a Colorectal Cancer screening navigation model delivered in a digital platform offered by a patient advocacy organization. Designed as a digital screening quiz tool and live navigation to promote CRC screening, the Colorectal Cancer Alliance’s Screening Quiz is a risk stratification tool that connects respondents to live certified cancer care navigators delivering evidence-based interventions to increase CRC screening, education and patient and family support. The framework utilizes small and mass media, one-on-one education and patient navigation

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Newcomer, Kimberley Lynn, Alex Guevara, Dionne Christopher, Marianne Pearson, and Dammie Brown. "Effectiveness of the Colorectal Cancer Alliance's digital screening quiz and navigation model for promoting CRC screening." Journal of Clinical Oncology 43, no. 4_suppl (2025): 97. https://doi.org/10.1200/jco.2025.43.4_suppl.97.

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97 Background: Evaluating the effectiveness of a Colorectal Cancer screening navigation model delivered in a digital platform offered by a patient advocacy organization. Designed as a digital screening quiz tool and live navigation to promote CRC screening, the Colorectal Cancer Alliance’s Screening Quiz is a risk stratification tool that connects respondents to live certified cancer care navigators delivering evidence-based interventions to increase CRC screening, education and patient and family support. The framework utilizes small and mass media, one-on-one education and patient navigation

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Newcomer, Kim, Alex Guevara, Marianne Pearson, and Lisa Hall. "Colorectal Cancer Alliance: Promoting prevention and early detection with screening navigation and a personalized recommendation via a digital screening quiz tool for colorectal cancer." Journal of Clinical Oncology 42, no. 3_suppl (2024): 71. http://dx.doi.org/10.1200/jco.2024.42.3_suppl.71.

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71 Background: Evaluating the effectiveness of a Colorectal Cancer screening navigation model delivered in a digital platform offered by a patient advocacy organization. Designed as a digital screening quiz tool and live navigation to promote CRC screening, the Colorectal Cancer Alliance’s Screening Quiz is a risk stratification tool that connects respondents to live certified cancer care navigators delivering evidence-based interventions to increase CRC screening, education and patient and family support. The framework utilizes small and mass media, one-on-one education and patient navigation

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Gorenshtein, Alon, Moran Sorka, Mohamed Khateb, Dvir Aran, and Shahar Shelly. "Agent-guided AI-powered interpretation and reporting of nerve conduction studies and EMG (INSPIRE)." Clinical Neurophysiology 177 (September 2025): 2110792. https://doi.org/10.1016/j.clinph.2025.2110792.

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Zain, Muhammad Fajar. "PENERAPAN <i>ARTIFICIAL INTELLIGENCE</i> (AI) DALAM PEMBUATAN SOAL KUIS DI APLIKASI ANDALIMAN BERBASIS <i>LEARNING MANAGEMENT SYSTEM</i> (LMS) MOODLE." Wawasan: Jurnal Kediklatan Balai Diklat Keagamaan Jakarta 5, no. 2 (2024): 160–73. https://doi.org/10.53800/8hc6dx24.

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Abstract The development of Artificial Intelligence (AI) technology has a significant impact on various sectors, including education. One interesting application of AI is Text to Questions, a technology that converts narrative text into questions for automatic question creation. ANDALIMAN is a Moodle-based Learning Management System developed by the Religious Training Center (BDK) Medan, a platform designed for training management, including material management, teaching resources, assessments, and the creation and questions management. AI in the ANDALIMAN is expected to improve efficiency and

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Pesovski, Ivica, Ricardo Santos, Roberto Henriques, and Vladimir Trajkovik. "Generative AI for Customizable Learning Experiences." Sustainability 16, no. 7 (2024): 3034. http://dx.doi.org/10.3390/su16073034.

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The introduction of accessible generative artificial intelligence opens promising opportunities for the implementation of personalized learning methods in any educational environment. Personalized learning has been conceptualized for a long time, but it has only recently become realistic and truly achievable. In this paper, we propose an affordable and sustainable approach toward personalizing learning materials as part of the complete educational process. We have created a tool within a pre-existing learning management system at a software engineering college that automatically generates lear

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Maguire, Mary Beth, and Anne White. "An Introduction to the Artificial Intelligence-Driven Technology Adoption in Nursing Education Conceptual Framework: A Mixed-Methods Study." Nursing Reports 15, no. 6 (2025): 184. https://doi.org/10.3390/nursrep15060184.

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Background/Objectives: Technological advancements are revolutionizing nursing education by improving precision, patient outcomes, and learning experiences. There is an urgent need for systematic frameworks to help nurse educators effectively integrate advanced technologies into their teaching methods. This manuscript introduces the Artificial Intelligence-Driven Technology Adoption in Nursing Education (AID-TANE) framework and operationalizes its use through a pilot study with undergraduate nursing students. Methods: The framework was tested through a convergent mixed-methods pre/post-test stu

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Puspasari, Shinta, Rendra Gustriansyah, Dwi Asa Verano, Ahmad Sanmorino, Hartini Hartini, and Ermatita Ermatita. "MEASURING PERCEIVED USABILITY OF ARTIFICIAL INTELLIGENCE-BASED QUIZZES IN A VIRTUAL MUSEUM." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 10, no. 4 (2025): 953–60. https://doi.org/10.33480/jitk.v10i4.5611.

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The transformation of modern museums through digital technology offers added value to visitors, especially in the context of education. Virtual museums, in particular, complement physical museums by providing accessibility and enhancing the learning experience. The SMBII virtual museum includes an AI-based quizzes feature designed to assess the knowledge level of visitors regarding the museum's history and collections as an educational feature. In addition to physical museums, virtual museums offer convenience and enrich the learning process for visitors. The quizzes adapts its questions based

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Lubis, Siti Hawa, Anri Naldi, Reskina Reskina, Adlan Fauzi Lubis, and Nurhayati Nurhayati. "Inovasi Penggunaan AI (Artificial Intelligenc) Dalam Pembelajaran Pendidikan Agama Islam di MAN 4 Persiapan Kota Medan." Jurnal Bilqolam Pendidikan Islam 4, no. 2 (2023): 105–29. http://dx.doi.org/10.51672/jbpi.v4i2.213.

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Era digital saat ini Inovasi penggunaan AI (Artificial Intelligence) dalam pembelajaran sangat dibutuhkan. Guru pendidikan agama Islam harus mampu melakukan inovasi pembelajaran. Tujuan penelitian adalah untuk menganalisis inovasi dan kendala penggunaan Artificial Intelligence dalam pembelajaran Pendidikan Agama Islam di MAN 4 Persiapan Kota Medan. Metode penelitian adalah kualitatif dengan pendekatan fenomenologi, Hasil penelitian ini menemukan inovasi penggunaan Artificial Intelligence di MAN 4 Persiapan Kota Medan menggunakan aplikasi e-learning Madrasah. Keunggulan aplikasi ini Melalui e-l

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Kulkarni, Roopa R., Niranjan S. Benakatti, Nandan N, Rakshitha M, and Sanjay R. "Review on AI-based Smart Farming of Leafy Vegetables using Hydroponics System." Journal of Electronics and Communication Systems 8, no. 1 (2023): 1–6. http://dx.doi.org/10.46610/joecs.2023.v08i01.001.

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Agriculture plays a very important role in the development of a nation. By 2050, the human population is predicted to achieve eight.9 billion associate degrees an increased population needs adequate offer of contemporary turnout. This downside is often resolved by sensible agriculture and fashionable implementation exploitation net of Things (IoT) technologies. Hydroponics may be a soil-less cultivation that uses minerals from nutrient resolution. The parameters to be thought-about for hydroponic systems embrace pH scale level, electrical conduction (EC), dissolved atomic number 8 (DO), water

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K Sankara Narayanan and A. Kumaravel. "Hybrid Gamification and AI Tutoring Framework using Machine Learning and Adaptive Neuro-Fuzzy Inference System." Journal of Advanced Research in Applied Sciences and Engineering Technology 42, no. 2 (2024): 221–33. http://dx.doi.org/10.37934/araset.42.2.221233.

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Although technology has significantly improved the teaching and learning process, it has not been able to increase students' self-motivation and engagement at the same level. The lack of self-motivation and intermittent engagement is currently one of the primary challenges faced by educators. This new approach to learning called the hybrid gamification framework uses a combination of artificial intelligence (AI), machine learning (ML), and the Adaptive Neuro-Fuzzy Inference System (ANFIS) to create a more engaging and personalized learning experience. By tracking students' interactions and per

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G Kamath, Shravani, Suchit Karnam, Sushil Kumar, Umesh Jadhav, and Dr Nirmala S. "AI-Enhanced Learning Hub: Lesson Planning with Student Quizzes." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem40040.

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Abstract--The KnowBridge project is a cutting-edge AI- driven educational platform designed to enhance instructor-student connections through technological automation of key aspects of the teaching and learning process. This system also to support syllabus management, test item bank creation and performance tracking during the process it also creates an integrated academic system. The core of the functionality is teachers uploading the syllabus into the image format. Using contemporary Optical Character Recognition (OCR) technology, the system extracts and classifies the text into a hierarchic

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Sirdeshpande, Dr Shrinivas. "Thrive Path: Navigating Emotional Journey with AI Chatbot and Machine Learning techniques for Mental Health." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48339.

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In today’s world, where mental health challenges are becoming increasingly common, there’s a growing need for accessible, personalized, and compassionate support systems. ThrivePath was designed to help people overcome obstacles to mental healthcare seeking including stigma and ignorance. To provide users an immersive and supportive setting for going their emotional trip, we decided to combine interactive tools, AI-driven chatbots, and machine learning into a single platform. Google Gemini 1.5 by Pro powers an artificial intelligence chatbot on the platform that offers personalized, compassion

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Wei, Qian, Hongjun Sun, Yin Xu, Zisheng Pang, and Feixiang Gao. "Exploring the Application of Large Language Models Based AI Agents in Leakage Detection of Natural Gas Valve Chambers." Energies 17, no. 22 (2024): 5633. http://dx.doi.org/10.3390/en17225633.

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Leakage problems occur from time to time due to the large number of equipment and complex processes during oil and gas production and transportation. The traditional detection methods highly depend on manpower with large workload and are prone to missed and false alarms, which seriously affects the efficiency and safety of oil and gas production and transportation. With the continuous improvement of information technology and the rapid advancement of artificial intelligence (AI), the research on leakage detection technology based on AI methods has attracted more and more attention. This paper

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Hudimova, Alisar, Olha Zaverukha, Yevhen Karpenko, Oksana Stelmakh, and Galina Lialiuk. "Gender study of the student youth’s psychological well-being during coronavirus lockdown: a comparative analysis." Revista Amazonia Investiga 10, no. 48 (2021): 189–99. http://dx.doi.org/10.34069/ai/2021.48.12.20.

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Research conduction and substantiation of gender semantic parameters of psychological well-being of students (n = 101) during coronavirus self-isolation using empirical and theoretical methods. The findings revealed that student youth experience anxiety and depressive symptoms (t = -2.2; p =.05). Boys were discovered to have cyclothymic, abrupt binary mood swings (t = 2.4; p =.05). Respondents tend to focus on the various activities available in a lockdown setting to protect their mental state. It was stated that the proclivity to displace anxious thoughts is a distinct feature of Group 1 (boy

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