The Review of Current Artificial Intelligence Techniques for Educational Content Creation and Implementation
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Aggarwal, Charu C. (2016), ˝Model-Based Collaborative Filtering˝, Recommender Systems, Springer, Cham.
Akermi, Imen, Johannes Heinecke, Frédéric Herledan (2020), ˝Transformer based Natural Language Generation for Question-Answering˝, 13th Interna- tional Conference on Natural Language Generation Proceedings, Dublin, Ireland, 349–359.
Al Faraby, Said, Kang Adiwijaya, Ade Romadhony (2023), ˝Review on Neural Question Generation for Education Purposes˝, International Journal of Artificial Intelligence in Education, 34(3), 1008–1045.
Aleksić, Veljko, Mirjana Ivanović (2017), ˝A Literature Review of Empirical Research on the Effects of Digital Games on Learning Styles and Multiple Intelligences˝, Croatian Journal of Education, 19(2), 511–562.
Campelj, Borut, Eva Jereb (2023), ˝Report on Smart Education in the Republic of Slovenia˝, Smart Education in China and Central & Eastern European Countries Proceedings, Springer, Singapore, 293−321.
Chavdarova-Kostova, Siyka (2023), ˝Report on Smart Education in the Republic of Bulgaria˝, Smart Education in China and Central & Eastern European Countries Proceedings, Springer, Singapore, 81−109.
Dalal, Vipul, Latesh Malik (2013), ˝A Survey of Extractive and Abstractive Text Summarization Techniques˝, 6th International Conference on Emerging Trends in Engineering and Technology Proceedings, Nagpur, India, 109–110.
Dar, Zaema, Muhammad Raheel, Usman Bokhari, Akhtar Jamil, Esraa Mohammed Alazzawi, Alaa Ali Hameed (2024), ˝Advanced Generative AI Methods for Academic Text Summarization˝, 3rd International Conference on Computing and Machine Intelligence Proceedings, IEEE, Mt Pleasant, USA, 1–7.
Deldjoo, Yashar, Markus Schedl, Paolo Cremonesi, Gabriella Pasi. (2020), ˝Recommender Systems Leveraging Multimedia Content˝, ACM Computing Surveys, 53(5), 1–38.
Devisivasankari, P., R. Vijayakumar (2023), ˝Emerging AI Trends in Intelligent and Interactive Multimedia Systems˝, Artificial Intelligence and Multimedia Data Engineering, 1, 98–117.
El Fazazi, Hanaa, Mouhcine Elgarej, Mohamed Qbadou, Khalifa Mansouri (2021), ˝Design of an adaptive e-learning system based on multi-agent approach and reinforcement learning˝, Engineering, Technology & Applied Science Research, 11(1), 6637–6644.
Fattah, Mohamed Abdel, Fuji Ren (2009), ˝GA, MR, FFNN, PNN and GMM based models for automatic text summarization˝, Computer Speech & Language, 23(1), 126–144.
Filgueiras, Fernando (2024), ˝Artificial intelligence and education governance˝, Education, Citizenship and Social Justice, 19(3), 349-361.
Filipova, Irina A. (2024), ˝Legal regulation of artificial intelligence: Experience of China˝, Journal of Digital Technologies and Law, 2(1), 46-73.
George, Gina, Anisha M. Lal (2019), ˝Review of ontology-based recom- mender systems in e-learning˝, Computers & Education, 142, 1-18.
Ghanem, Bilal, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer McIntosh von der Ohe, Alona Fyshe (2022), ˝Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask˝, Findings of the Association for Computational Linguistics: ACL 2022 Proceedings, 2131–2146.
Ghodratnama, Samira, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh (2021), ˝Intelligent Narrative Summaries: From Indicative to Informative Summarization˝, Big Data Research, 26, 1-13.
Ghodratnama, Samira, Amin Behehsti, Mehrdad Zakershahrak (2023), ˝A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data˝, International Conference on Web Services Proceedings, IEEE, Chicago, USA, 206–213.
Gnanasekaran, Deena, Raja Kothandaraman, Kannan Kaliyan (2021), ˝An Automatic Question Generation System Using Rule-Based Approach in Bloom’s Taxonomy˝, Recent Advances in Computer Science and Communi- cations, 14(5), 1477–1487.
Graham, Yvette (2015), ˝Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE˝, Conference on Empirical Methods in Natural Language Processing Proceedings, Lisbon, Portugal, 128–137.
Harry, Alexandara, Sayudin Sayudin (2023), ˝Role of AI in Education˝, Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260–268.
Hwang, Kevin, Kenneth Wang, Maryam Alomair, Fow-Sen Choa, Lujie Karen Chen (2024), ˝Towards Automated Multiple Choice Question Generation and Evaluation: Aligning with Bloom’s Taxonomy˝, Artificial Intelligence in Education. Lecture Notes in Computer Science, vol. 14830. Springer, Cham, 389–396.
Jing, Xia, Jie Tang (2017), ˝Guess you like˝, Proceedings of the International Conference on Web Intelligence, ACM, Leipzig, Germany, 783–789.
Kabudi, Tumaini, Ilias Pappas, Dag Håkon Olsen (2021), ˝AI-enabled adap- tive learning systems: A systematic mapping of the literature˝, Computers and Education: Artificial Intelligence, 2, 1-12.
Kayabas, İlker (2024), ˝Innovative Curriculum Development and Content Creation With Generative AI˝, Transforming Education With Generative AI, IGI Global, 462–473.
Khojamli, Halime, Jafar Razmara (2021), ˝Survey of similarity functions on neighborhood-based collaborative filtering˝, Expert Systems with Applica- tions, 185, 1-28.
Kleinberger, Thomas, Andreas Holzinger, Paul Müller (2008), ˝Adaptive multimedia presentations enabling universal access in technology enhanced situational learning˝, Universal Access in the Information Society, 7(4), 223–245.
Ko, Bo-Min (2023), ˝Analysis of International Regulations on Artificial Intelligence (AI) Ethics–a Comparative Approach˝, Asia-Pacific Journal of Business & Commerce, 15(3), 201-225.
Kopeinik, Simone, Dominik Kowald, Elisabeth Lex (2016), ˝Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL˝, Adaptive and Adaptable Learning. Lecture Notes in Computer Science, vol. 9891, Springer, Cham, 124–138.
Kumar, Archana Praveen, Gautam Sridhar, Ashlatha Nayak, Manjula K. Shenoy (2021), ˝A Neural Attention Model for Automatic Question Genera- tion Using Dual Encoders˝, Recent Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1386. Springer, Singapore, 427–440.
Kurdi, Ghader, Jared Leo, Bijan Parsia, Uli Sattler, Salam Al-Emari (2019), ˝A Systematic Review of Automatic Question Generation for Educational Purposes˝, International Journal of Artificial Intelligence in Education, 30(1), 121–204.
Kusuma, Selvia Ferdiana, Daniel Oranova Siahaan, Chastine Fatichah (2022), ˝Automatic question generation with various difficulty levels based on knowle- dge ontology using a query template˝, Knowledge-Based Systems, 249, 1-14.
Latif, Siddique, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria (2022), ˝A survey on deep reinforcement learning for audio-based applications˝, Artificial Intelligence Review, 56(3), 2193–2240.
Li, Wenzu, Natalia Grakova, Qian Longwei (2020), ˝Ontological Approach for Question Generation and Knowledge Control˝, Open Semantic Technolo- gies for Intelligent System. Communications in Computer and Information Science, vol 1282, Springer, Cham, 161–175.
Li, Jing, Zhou Ye (2020), Course Recommendations in Online Education Based on Collaborative Filtering Recommendation Algorithm. Complexity, Wiley Online Library
Liu, Xing (2024), ˝Teaching Design Model of Media Courses Based on Artificial Intelligence˝, IEEE Access, 12, 121242–121250.
Chung Liu, Chen, I. Chen Hsieh, Cai Ting Wen, Ming Hua Chang, Shih Hsun Fan Chiang, Meng Jung Tsai, Chia Jung Chang, Fu Kwun Hwang (2021), ˝The affordances and limitations of collaborative science simulations: The analysis from multiple evidences˝, Computers & Education, 160, 1-16.
Luo, Mengqi, Bowen Xue, Ben Niu (2024), ˝A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives˝, Neurocomputing, 603, 1-14.
Mandić, Danimir P. (2024), ˝A new paradigm of education and potentials of artificial intelligence˝, Progress, 5(2), 83–96.
Mohammadshahi, Alireza, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi (2023), ˝RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question˝, Findings of the Association for Computational Linguistics Proceedings, Toronto, Canada, 6845–6867.
Mukhtar, Samal, Seonah Lee, Jueun Heo (2024), ˝A Multidocument Summari- zation Technique for Informative Bug Summaries˝, IEEE Access, 12, 158908–158926.
Noroozi, Omid, Saba Soleimani, Mohammadreza Farrokhnia, Seyyed Kazem Banihashem (2024), ˝Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives˝, International Journal of Technology in Education, 7(3), 373–385.
Natarajan, Senthilselvan, Subramaniyaswamy Vairavasundaram, Siva- ramakrishnan Natarajan, Amir H. Gandomi (2020), ˝Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data˝, Expert Systems with Applications, 149, 1-9.
Nguyen, Andy, Ha Ngan Ngo, Yvonne Hong, Belle Dang, Bich-Phuong Thi Nguyen (2022), ˝Ethical principles for artificial intelligence in education˝, Education and Information Technologies, 28(4), 4221–4241.
Nye, Benjamin D., Arthur C. Graesser, Xiangen Hu (2014), ˝Multimedia Learning with Intelligent Tutoring Systems˝, In: Richard E. Mayer (ed.), The Cambridge Handbook of Multimedia Learning, Cambridge University Press, 705–728.
OECD (2021), OECD digital education outlook – pushingthe frontiers with artificial intelligence, blockchain, and robots, OECD Publishing
Onyejelem, Timothy Ekeledirichukwu, Eric Msughter Aondover (2024), ˝Digital Generative Multimedia Tool Theory (DGMTT): A Theoretical Postulation in the Era of Artificial Intelligence˝, Advances in Machine Learning & Artificial Intelligence, 5(2), 01–09.
Ouyang, Fan, Pengcheng Jiao (2021), ˝Artificial intelligence in education: The three paradigms˝, Computers and Education: Artificial Intelligence, 2, 1-6.
Priya, V., Kandaswamy Umamaheswari (2023), ˝Concepts of Text Summa- rization˝, Computational Techniques for Text Summarization Based on Cognitive Intelligence, CRC Press, 1–22.
Pujahari, Abinash, Dilip Singh Sisodia (2020), ˝Model-Based Collaborative Filtering for Recommender Systems: An Empirical Survey˝, 1st International Conference on Power, Control and Computing Technologies, IEEE, Raipur, India, 443–447.
Raj, Nisha S., V. G. Renumol (2022), ˝A systematic literature review on adap- tive content recommenders in personalized learning environments from 2015 to 2020˝, Journal of Computers in Education, 9(1), 113–148.
Ramandanis, Dimitrios, Stelios Xinogalos (2023), ˝Designing a Chatbot for Contemporary Education: A Systematic Literature Review˝, Information, 14(9), 1-30.
Ramina, Mayank, Nihar Darnay, Chirag Ludbe, Ajay Dhruv (2020), ˝Topic level summary generation using BERT induced Abstractive Summarization Model˝, 4th International Conference on Intelligent Computing and Control Systems Proceedings, IEEE, Madurai, India, 747–752.
Razack, Habeeb Ibrahim Abdul, Sam T. Mathew, Fathinul Fikri Ahmad Saad, Saleh A. Alqahtani (2021), ˝Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world˝, Science Editing, 8(2), 134–144.
Sajja, Ramteja, Yusuf Sermet, Muhammed Cikmaz, David Cwiertny, Ibrahim Demir (2024), ˝Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education˝, Information, 15(10), 1-23.
Sewunetie, Walelign Tewabe, László Kovács (2022), ˝Comparison of template-based and multilayer perceptron-based approach for automatic question generation system˝, Indonesian Journal of Electrical Engineering and Computer Science, 28(3), 1738-1748.
Shakil, Hassan, Ahmad Farooq, Jugal Kalita (2024), ˝Abstractive text summarization: State of the art, challenges, and improvements˝, Neurocomputing, 603, 1-28.
Syed, Ayesha Ayub, Ford Gaol, Tokuro Matsuo (2021), ˝A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization˝, IEEE Access, 9, 13248–13265.
Tamabayeva, Kunasyl (2024), ˝Personalized recommendations using neighborhood-based item collaborative filtering˝, Universum: Technical Sciences, 11(128), 67-71.
Tamboli, Amaan, Archana Kadam, Abhinav Tekam, Ayush Talegaonkar, Bhushan Wakchaure (2024), ˝Intelligent Content Summarization System Using Natural Language Processing˝, 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA) Proceedings, Pune, India, 1–6.
Tolety, Venkata Bhanu Prasad, Evani Venkateswara Prasad (2022), ˝Hybrid content and collaborative filtering based recommendation system for e-learning platforms˝, Bulletin of Electrical Engineering and Informatics, 11(3), 1543–1549.
Vasilijević, Danijela (2014), ˝Formalizam u tretiranju metodičkih fenomena˝. Tematski zbornik radova „Mogućnosti modifikovanja metodike vaspitno-obrazovnog rada i metodike razredne nastave“, Učiteljski fakultet, Vranje, 22–32.
Vasilijević, Danijela, Biljana Alavanja, Hadži Živorad Milenović (2024), ˝(Inovativni) modeli nastave u obuhvatu doktorskih disertacija fakulteta za obrazovanje učitelja u Republici Srbiji˝, Društvene i humanističke studije, 1(25), 699-722.
Vasilijević, Danijela, Žana Bojović, Marina Semiz, Danijela Sudzilovski (2023), ˝Personal Predictors of Online Teaching-Experiences of the Teachers in Serbia in the Covid Regime˝, International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(1), 63–75.
Velmurugan, Haemanth, Naveena Pandiarajan, Lisa Ravi, Sravani Voleti, Reshma Sheik, Jaya Nirmala (2024), ˝Automatic Question Generation: A Comparative Analysis of Rule-Based and Neural Network-Based Models˝, International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol. 954, Springer, Singapore, 227–241.
Wu, Le, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang (2022), ˝A urvey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation˝, IEEE Transactions on Knowledge and Data Engineering, 35(5), 4425–4445.
Xu, Guoli, Cora Un In Wong (2024), ˝Deep Learning-Based Educational Image Content Understanding and Personalized Learning Path Recomme- ndation˝, Traitement Du Signal, 41(1), 459–167.
Yadav, Avaneesh Kumar, Ranvijay, Rama Shankar Yadav, Ashish Kumar Maurya (2023), ˝State-of-the-art approach to extractive text summarization: a comprehensive review˝, Multimedia Tools and Applications, 82(19), 29135–29197.
Zervas, Panagiotis, Sergio Gómez, Ramón Fabregat, Demetrios G. Sampson (2012), ˝Designing Tools for Context-Aware Mobile Educational Content Adaptation˝, In: Demetrios G. Sampson, Pedro Isaias, Dirk Ifenthaler, J. Michael Spector (eds.) Ubiquitous and Mobile Learning in the Digital Age, Springer, New York, 37–50.
Zhang, Jiayi, Guowei Chen, Zhaohong Liu (2023), ˝GPTERS: GPT with Entity Relation Enhanced for Abstractive Text Summarization˝, International Conference on Culture-Oriented Science and Technology Proceedings, IEEE, Xi’an, China, 301–305.
Zhuang, Rongxia, Dejian Liu, Demetrios Sampson, Danimir Mandic, Siyi Zou, Yu Huang, Ronghuai Huang (eds.) (2023), Smart Education in China and Central & Eastern Europe Countries, Lecture Notes in Educational Technology, Singapore
Zhu, Ivy Chenjia, Meng Sun, Jiutong Luo, Tianyi Li, Minhong Wang (2023), ˝How to Harness the Potential of ChatGPT in Education?˝, Knowledge Management & E-Learning, 15(2), 133-152.
Zhu Zhiting, Ming-Hua Yu, Peter Riezebos (2016), ˝A research framework of smart education˝, Smart Learning Environments, 3(1), 2–17.
DOI: https://doi.org/10.51558/2490-3647.2025.10.1.571
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