Comparison of Learning Outcomes and Student Activeness in the Use of Guided Inquiry Learning Model with Media e-Module, Learning Videos, and Textbooks by Dina Amalya Lapele

“…The data analysis technique used is data reduction, data presentation, and making conclusions. The results of the study proved that the highest learning outcomes were classes that used Guided Inquiry learning model with module media, then classes that used visual learning media, and classes that used textbook media. …”
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Machine Learning and Deep Learning Approaches for Accent Recognition: A Review by Muzaffar Ahmad Dar, Jagalingam Pushparaj

“…In this paper, we explain various preprocessing techniques, different feature extraction methods, and a detailed methodology based on the machine learning (ML) and deep learning (DL) approaches used for accent recognition. …”
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Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning by Timothy Aris, Volkan Ustun, Rajay Kumar

“…This paper presents a reinforcement learning model designed to learn how to take cover on  geo-specific terrains, an essential behavior component for military training simulations. …”
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Effects of problem-based learning on EFL learning: A systematic review. by Qian Guo, Halimah Jamil, Lilliati Ismail, Shujie Luo, Zhubin Sun

“…Teaching English as a foreign language (EFL) is a priority globally, but pedagogical methods do not always keep up with the evolving needs of learners. Problem-based learning (PBL) is an innovative pedagogical approach that facilitates students' self-regulated learning, thereby improving their English proficiency. …”
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A Comprehensive Study on Reinforcement Learning and Deep Reinforcement Learning Schemes by Muhammad Azhar, Mansoor Ahmed Khuhro, Muhammad Waqas, Umair Saeed, Mehar Khan Niazi

“…In this research paper, different methods and details for dealing with reinforcement learning difficulties have been presented. Finally, various difficulties of the reinforcement learning have been addressed. …”
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Online learning versus practical skills: the role of engagement in distance learning by Joanna Krzyżak, Jolanta Walas-Trębacz, Agnieszka Herdan, Anish Nair

“…The aim of this article is to demonstrate the importance of those skills during remote learning and present the results of a study on the impact of students' practical application skills on remote learning outcomes, taking into account their involvement in distance learning. …”
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Hypothetical learning trajectory in student’s spatial abilities to learn geometric transformation by Ricki Yuliardi, Rizky Rosjanuardi

“…The relationship between spatial conceptions and students' spatial abilities is still rarely studied specifically, even though this is the basis for students to think in learning geometry. This paper aims to explore spatial abilities and the development of spatial ability theory, discusses the relationship between spatial conceptions in students' understanding, andhow to develop HLT (Hypothetical Learning Trajectory) in transformation geometry learning. …”
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Nurturing Learning and Engagement Through Student Perceptions of Project-Based Learning by Atta Abdalwahid Ahmed

“…The present study aims to explore the impacts of project-based learning in nurturing student learning and engagement in Kurdish EFL high school context. …”
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Lessons learned and yet to be learned from predictors of youth crime research by Brianne M. Posey, Anastasiia Timmer, Nayan G. Ramirez

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Learning Policies for Neural Network Architecture Optimization Using Reinforcement Learning by Raghav Vadhera, Manfred Huber

“…To address this and to open up the potential for transfer across tasks, this paper presents a novel approach that uses Reinforcement Learning to learn a policy for network optimization in a derived architecture embedding space that incrementally optimizes the network for the given problem. …”
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Learning Achievement Goals and Personality Orientation in the Structure of Learning Motivation of Adolescents by M.G. Nikitskaya

“…Today, more and more researchers are studying the constructs included in the structure of learning motivation. The paper presents results of a study (N=342) aimed at exploration of the educational achievement goals (3x2 model of Elliot’s achievement goal theory) and personality orientation (L.I. …”
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Fear of the Aquatic Environment in Learning Swimming: Causes, Effects, and Learning Methodologies by Diana Coelho, Paulo Eira, António Azevedo

“…The present study aimed to analyze the causes that lead to fear of the aquatic environment, its effects on learning swimming, and how swimming coaches can intervene to help overcome this fear. …”
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Professional learning communities in secondary schools and improvement of learning in challenging contexts by Marta Olmo-Extremera, Jesús Domingo Segovia, Mohammad Khalil, Javier De La Hoz Ruíz

“…Ensuring learning for all and by all in urban schools is a major challenge. …”
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Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review by Henintsoa S. Andrianarivony, Moulay A. Akhloufi

“…The emergence of machine learning (ML) and, more specifically, deep learning (DL) has introduced new techniques that significantly enhance prediction accuracy. …”
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Metacognition About Collaborative Learning: Students’ Beliefs Are Inconsistent with Their Learning Preferences by Yunfeng Wei, Nicholas C. Soderstrom, Michelle L. Meade, Brandon G. Scott

“…Results indicate that, although students generally perceive collaboration as beneficial, they prefer individual study, indicating that their beliefs are inconsistent with their learning preferences. Students report social learning as the primary reason for collaborative benefits but prefer to study alone to minimize distraction and increase personal accountability. …”
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DEVELOPMENT OF GEOMETRY MOBILE LEARNING TO ENHANCE STUDENTS' MATHEMATICS LEARNING INTEREST by Ana Muliyana, Adi Wibowo Panjaitan, Frengki Simatupang

“…The research findings indicate that: (1) The developed mobile learning application for geometry is presented using Creative Problem Solving syntax, complemented with features such as liveworksheets, Geogebra, instructional videos, Quizizz, and Google Forms, facilitating the enhancement of mathematical creativity. (2) The developed product is declared valid based on the validation results obtained from two media experts and two content experts, with an average Aiken index reaching 0.94 out of the maximum score of 1, categorizing it as "High." …”
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Investigating The Effectiveness of Puzzle Teaching in Learning Disorders of Students with Learning Disabilities by Mahla Shabani, Zahra Usefvand, Mitra Tahanan, Zeinab Akhgar Geneh, Zeinab Abdimoghadam

“…Learning disorders constitute one of the primary contributing factors to students' academic underachievement. …”
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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…Accurate early diagnosis is crucial for effective management and treatment. This article presents a novel review of Machine Learning (ML) and Deep Learning (DL) techniques for PD detection and progression monitoring, offering new perspectives by integrating diverse data sources. …”
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Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization by Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider

“…Abstract This work integrates machine learning into an atmospheric parameterization to target uncertain mixing processes while maintaining interpretable, predictive, and well‐established physical equations. …”
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Applications of machine learning and deep learning in agriculture: A comprehensive review by Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, Phyo Thandar Hlaing, Porntip Dechpichai, Angkool Wangwongchai

“…The digitalization of agriculture has increasingly integrated artificial intelligence (AI), machine learning (ML), and deep learning (DL) to address the challenges arising from population growth, climate change (CC), and resource limitations. …”
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