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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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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Navigating the data frontier in science assessment: Advancing data augmentation strategies for machine learning applications with generative artificial intelligence by Paul P. Martin, Nicole Graulich

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Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models by Feng Ye

“…Abstract Massive open online courses (MOOCs) have transformed higher education by providing widespread access to quality educational content, and the integration of machine learning (ML) has significantly enhanced their effectiveness and adaptability. …”
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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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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

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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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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

“…Abstract There is a need to help advance research on using machine learning and data mining techniques in physics education research (PER), which might still be difficult due to the unavailable dataset for the specific purpose of PER. …”
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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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Introducing Machine Learning in Teaching Quantum Mechanics by M. K. Pawelkiewicz, Filippo Gatti, Didier Clouteau, Viatcheslav Kokoouline, Mehdi Adrien Ayouz

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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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Machine learning modeling for predicting adherence to physical activity guideline by Ju-Pil Choe, Seungbak Lee, Minsoo Kang

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Machine learning approaches for forecasting compressive strength of high-strength concrete by Mohammed Shaaban, Mohamed Amin, S. Selim, Islam M. Riad

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Machine learning models for predicting the risk of depressive symptoms in Chinese college students by Chengfu Yu, Xiangxuan Kong, Weijie Yu, Xingcan Ni, Jing Chen, Xiaoyan Liao

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Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models by Niharika Dutta, Pankaj Gupta

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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

“…A combination of statistical models for feature selection and machine learning algorithms for prediction was used, with Random Forest showing the best performance. …”
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Developing new machine-learning intelligent models to predict the excavation-tunnel displacements by Abdollah Tabaroei, Muhand Jawad Jasim, Ali Mohammed Al-Araji, Amir Hossein Vakili

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Assessing machine learning models to generate permafrost distribution map in Solukhumbu, Nepal by Arnab Singh, Dibas Shrestha, Kaman Ghimire, Sangya Mishra, Darwin Rana, Sunil Acharya

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Discernibility in explanations: Designing more acceptable and meaningful machine learning models for medicine by Haomiao Wang, Julien Aligon, Julien May, Emmanuel Doumard, Nicolas Labroche, Cyrille Delpierre, Chantal Soulé-Dupuy, Louis Casteilla, Valérie Planat-Benard, Paul Monsarrat

“…Although the benefits of machine learning are undeniable in healthcare, explainability plays a vital role in improving transparency and understanding the most decisive and persuasive variables for prediction. …”
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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…The main objective of this paper is to assess the vulnerability of reinforced concrete (RC) educational buildings in Dhaka city to seismic activity by utilizing machine learning (ML) algorithms. …”
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