Machine Learning Techniques and Recommender Systems for Large Educational Data by Ammar Mohammed, Murtadha Hamad

“…This study proposed machine learning (ML) models such as K Nearest Neighbor (KNN) and Singular Value Decomposition (SVD) while this paper utilizing evaluations of performance metrics like root mean square error (RMSE), mean absolute error (MAE), hit rate (HR), average reciprocal hit rating (ARHR), accuracy, and recall. …”
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Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions by Wesam Ahmed, Mudasir Ahmad Wani, Pawel Plawiak, Souham Meshoul, Amena Mahmoud, Mohamed Hammad

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Personalized learning path planning for higher education based on deep generative models and quantum machine learning: a multimodal learning analysis method integrating transformer, adversarial training and quantum state classification by Changzhi Sun, Shijie Huang, Banghui Sun, Shiwei Chu

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Explainability in machine learning: a pedagogical perspective by Andreas Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle

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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…The review compares the effectiveness of machine learning (ML) algorithms such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), and Decision Trees with traditional statistical models, assessing their ability to manage complex educational data and improve decision-making. …”
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Predicting Students’ Performance Using a Hybrid Machine Learning Approach by Ropafadzo Duwati, Tawanda Mudawarima

“…Learning institutions have amassed volumes of educational data from sources such as learning management systems and academic databases. …”
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A three-stage machine learning and inference approach for educational data by Ting Da

“…While existing studies have utilized meticulous regression designs, it is challenging to select appropriate controls. Machine learning, however, offers a solution whereby the entire variable set can be inspected and filtered by different optimization schemes. …”
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Learning behavior analysis and personalized recommendation system of online education platform based on machine learning by Feng Ma

“…A learning behavior analysis model is constructed using a machine learning algorithm by collecting a large amount of learning behavior data from online education platforms, such as learning duration, frequency of course visits, homework completion, interaction records, etc. …”
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Predictive analytics in education- enhancing student achievement through machine learning by Sunawar khan, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir khan, Wajahat Waheed, Ahsen Waheed, Habib Hamam

“…This study investigates the application of predictive analytics and machine learning models to enhance student achievement in educational settings. …”
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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

“…In the rapidly evolving digital landscape, personalized recommendations have become essential for enhancing user experience. Machine learning models analyze user behavior patterns to suggest relevant entertainment, education, or e-commerce content. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…The main methods include an analysis of scientific literature, statistical data analysis, modeling using machine learning algorithms, and practical implementation of economic models with programming languages such as Python and machine learning libraries.To analyze economic data, methods such as linear regression, decision trees, and neural networks were selected, as they effectively predict changes in key macroeconomic indexes such as GDP, inflation, exchange rates, and unemployment levels. …”
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Personalized learning in hybrid education by Alaa O. Khadidos, Hariprasath Manoharan, Adil O. Khadidos, Mohammad N. Alanazi, Fuhid Alanazi, Shitharth Selvarajan

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Dashboard‑Driven Machine Learning Analytics and Conceptual LLM Simulations for IIoT Education in Smart Steel Manufacturing by Mehdi Imani, Ali Imanifard, Babak Majidi, Abdolah Shamisa

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Technology acceptance model for online education: identifying interdisciplinary topics and their evolution based on BERTopic model by Songyu Jiang, Hao Li, Du Gan

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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

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Dataset Construction Using Item Response Theory for Educational Machine Learning Competitions by Takeaki Sakabe, Yuko Sakurai, Emiko Tsutsumi, Satoshi Oyama

“…In recent years, the number of individuals studying machine learning has grown substantially, leading to the emergence of numerous educational competitions focused on building expertise in machine learning. …”
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Students’ performance dataset for using machine learning technique in physics education research by Purwoko Haryadi Santoso, Bayu Setiaji, Yohanes Kurniawan, Wahyudi, Syamsul Bahri, Fathurrahman, Mobinta Kusuma, Indah Urwatin Wusqo, Nuri Dewi Muldayanti, Arif Didik Kurniawan, Johan Syahbrudin

“…In this paper, we provide an example that SPHERE could be insightful for training machine learning models to predict students’ performance at the end of the learning process. …”
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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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