Assessing Institutional Performance Using Machine Learning Algorithms by zainabalwan anwer, Ahmad Abdalrada, Ihtiram Raza Khan

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Exploring Children's Requirements for Game-Based Learning Environments by Tuula Nousiainen, Marja Kankaanranta

“…Similarly, children's experience of what they find enjoyable and how they learn is a valuable source of inspiration for the design of products intended for them. …”
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Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Khongdet Phasinam, Tamal Mondal, Dony Novaliendry, Cheng-Hong Yang, Chiranjit Dutta, Mohammad Shabaz

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Probing out-of-distribution generalization in machine learning for materials by Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei, Daniel Persaud, Kamal Choudhary, Brian DeCost, Adji Bousso Dieng, Jason Hattrick-Simpers

“…Abstract Scientific machine learning (ML) aims to develop generalizable models, yet assessments of generalizability often rely on heuristics. …”
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Development and Validation of the Interpreting Learning Engagement Scale (ILES) by Wenting Yu, Chenggang Wu

Subjects: “…interpreting learning engagement…”
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Credit Risk Prediction Using Fuzzy Immune Learning by Ehsan Kamalloo, Mohammad Saniee Abadeh

“…We compare the performance of our immune-based learning system with results obtained by several well-known classifiers. …”
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Artificial Intelligence and Social-Emotional Learning: what relationship? by Rosa Indellicato

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Teacher Training for Content and Language Integrated Learning at the University by P. V. Sysoyev

Subjects: “…content and language integrated learning…”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

“…Methods: We developed four deep learning models for diagnosing HCC on computed tomography (CT) via a training–validation–testing approach. …”
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Light-weight self-learning approach for URL classification by Hong-zhou SHA, Zhou ZHOU, Qing-yun LIU, Peng QIN

“…A self-learning light-wight (SLW) is proposed.SLW is the first to introduce access relations and have the char-acteristics of feedback and self-learning.SLW approach starts from the seed set which includes known malicious pages.Then,it automatically figures out users with low credibility based on the seed set and the visit relation database.Finally,the access records of these users are used to identify other malicious pages.Experimental results indicate that SLW ap-proach can significantly improve the efficiency of malicious pages detection and reduce the average detection time com-pared with other conventional methods.…”
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Regarding the article on learning styles and ICT in Higher Education by Yaima Rodríguez Peña, Ida Juana Rodríguez Amaya Fernández

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Optimising deep learning models for ophthalmological disorder classification by S. Vidivelli, P. Padmakumari, C. Parthiban, A. DharunBalaji, R. Manikandan, Amir H. Gandomi

Subjects: “…Transfer learning…”
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Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

“…In this article, we propose a feature fusion-based collaborative learning for knowledge distillation. Specifically, during knowledge distillation, it enables networks to learn from each other using the feature/response-based knowledge in different network layers. …”
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A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL by Samira AHANGARI, Mansoureh JEIHANI, Abdollah DEHZANGI

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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…This study compares the predictive performance of machine learning models such as Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

Subjects: “…deep learning…”
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Influence of school environment in the teaching and learning of physical education by Muhamad Zahıdı, Rahmad Samad, Syed Kamaruzaman Bin Syed Alı

“…As implication, the teaching and learning of Physical Education cannot be implemented effectively. …”
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Construction of International Cooperation strategies: An inquiry into the learning experience by Cabeza-Pulles, D., Coral-Guerrero, C. A.

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Optimization of Solar Panel Deployment Using Machine Learning by Shoaib Kamal, P. S. Ramapraba, Avinash Kumar, Bikash Chandra Saha, M. Lakshminarayana, S. Sanal Kumar, Anitha Gopalan, Kuma Gowwomsa Erko

“…In this work, we proposed a mechanism for topology reconfiguration or optimization of photovoltaic (PV) arrays using machine learning-assisted techniques. The study takes into concern several topologies that includes series parallel topology, parallel topology, bridge link topology, honeycomb topology, and total cross tied. …”
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Reusable Learning Objects: Tools for Teaching in Nonformal Education by Jessica L. Gouldthorpe, Amy Harder, T. Grady Roberts, Nicole Stedman

“…Reusable learning objects are short, self-contained, digital learning activities that can be valuable tools for sharing information. …”
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