Towards Professionalism in Music: Self-assessed Learning Strategies of Conservatory Music Students by Esa Virkkula, Säde-Pirkko Nissilä

“…Critical thinking strategies as well as deep and surface learning strategies were also observed. In this paper, a theoretical background and methodological solutions will first be presented. …”
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Enhancing Students’ Motivation and Autonomy to Learn Online and Overcome Covid 19 Outbreak by Fatiha SAHLI

“… The present study aims at motivating Algerian university students and fostering their autonomy to use e learning effectively to overcome Covid 19 outbreak. …”
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A study on the effect of organizational learning on organizational performance with an emphasis on dynamic capacity by Asal Ashtari, Jamshid Salehi-Sadaghiani

“…The present study examines the effect of organizational learning culture on organizational performance by considering the role of dynamic capacity as a mediator in an Iranian bank named Refah Bank. …”
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Using website creation as a hub, promoted collaborative learning in teacher education by Anna Järnerot, Anne Bonnevie Lund

“…IntroductionThe article presents a teaching design used in the first year of a teacher education in Norway. …”
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Ultrasound tomography enhancement by signal feature extraction with modular machine learning method. by Bartłomiej Baran, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Rymarczyk

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Multi-modal remote sensory learning for multi-objects over autonomous devices by Aysha Naseer, Naif Almudawi, Hanan Aljuaid, Abdulwahab Alazeb, Yahay AlQahtani, Asaad Algarni, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…Using a synergistic combination of Markov Random Field (MRF) for accurate labeling and Alex Net model for robust scene recognition, this work presents a novel method for the identification of remote sensing objects. …”
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Machine Learning Models in the Detection of MB2 Canal Orifice in CBCT Images by Shishir Shetty, Meliz Yuvali, Ilker Ozsahin, Saad Al-Bayatti, Sangeetha Narasimhan, Mohammed Alsaegh, Hiba Al-Daghestani, Raghavendra Shetty, Renita Castelino, Leena R David, Dilber Uzun Ozsahin

“…Objectives: The objective of the present study was to determine the accuracy of machine learning (ML) models in the detection of mesiobuccal (MB2) canals in axial cone-beam computed tomography (CBCT) sections. …”
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INSTRUMENT ASSESSMENT IN STUDENT LEARNING OUTCOME FOR FACTUAL AND CONCEPTUAL HOTS ON SCIENCE EDUCATION

“…ABSTRACT   The research objective is to provide a depiction of the practicality of factual and conceptual HOTS as an assessment tool in the context of science education, as well as the profiles of student learning outcomes. The present study employs the ADDIE model as a framework for Research and Development (R&D) model. …”
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RETRACTED: Comparative Review on Machine Learning-Based Predictive Modeling for Mechanical Characterization by Himabindu Modi, Raj Vijilius Helena, Dutt Amit, Chandra Pradeep Kumar, Sethi Vandana Arora, Mohammad Q.

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Dataset of knowledge retention and learning satisfaction in patient–nurses safetyMendeley Data by Rose A. Nain, Deena Clare Thomas, Johari Daud Makajil, Rista Fauziningtyas

“…This dataset contains information on knowledge retention and learning satisfaction in the context of patient–nurse safety education. …”
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Advances in Blockchain-Based Internet of Vehicles Application: Prospect for Machine Learning Integration by Emmanuel Ekene Okere, Vipin Balyan

“…Then, we explore novel technologies, including blockchain-based IoV and machine learning-based IoV and highlight how the blockchain technology could be integrated with machine learning for intelligent transportation systems in the IoV ecosystem. …”
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Evaluation of Quality of Innovative E-Learning in Higher Education: An Insight from Poland by Radosław Wolniak, Kinga Stecuła

“…The paper presents the results of research on the quality of e-learning in Polish higher education. …”
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Medical decision support systems for diagnosing diseases based on ensemble learning algorithms by Luma Jarallah

“…This paper proposes a stacked learning model derived from multiple ensembles learning algorithms, including Random Forest, Catboost and XGBoost. …”
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Feature Screening via Mutual Information Learning Based on Nonparametric Density Estimation by Shengbin Zhou, Tao Wang, Yejin Huang

“…Simulation experiments and real data applications are presented to illustrate the finite sample performance of the proposed procedures.…”
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Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

“…Their convergence, particularly through quantum machine learning (QML), presents opportunities for future advancements in processing high-dimensional healthcare data and improving clinical outcomes. …”
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Using learning curves to guide the energy transition with the example of heavy electric trucks by Auke Hoekstra, Floor Alkemade

“…We present a systems-level learning model for electric trucks to illustrate how this can be done. …”
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Options for Strengthening the Ensemble of Hypotheses under Uncertainty of the Objective Learning Function Formation by A. F. Chernyavsky, A. I. Kazlova

“…Intelligent learning systems traditionally consist of three main components: a student model, which is a block with information about the student; a model of the learning process that sets the form for presenting information to the student and the type of quality assessment of the student’s activity; the model interface as a link between the expert block of the intelligent learning system and other learning algorithms in the components of educational systems. …”
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Influence of using animated video media in online learning at junior high school by Risma Rizqiana Haq, Lies Diana Dwi Irawati

“…The study results show that animated videos can improve the quality of the learning process; the material presented using animated media becomes more straightforward and more accurate, so students understand the material more easily. …”
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Hybrid-Pursuit Strategies in Multiple Pursuer-Evader Games Using Reinforcement Learning by Yacun Guan, Wang Xu, Guohua Liu

“…This paper presents a comprehensive learning strategy for the collaborative pursuit of evaders by multiple pursuers in environments with dynamic obstacles. …”
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Composite Learning Sliding Mode Control of Nonlinear Systems Subject to Actuator Failures by Xianmin Hou, Songyu Wang

“…Simulation results are presented to indicate the validity of our methods.…”
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