A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…At the same time, image-based methods rely on other properties like color, shape, and edge. This paper presents a novel deep-learning framework tailored to classify Brazilian coins. …”
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Unsilencing the Student Voice: Detecting and Addressing ChatGPT-Generated Texts Presented as Student-Authored Texts at a University Writing Centre by Zonnike Coetzer, Peet van Aardt

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Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning by Nalini Manogaran, Mercy Theresa Michael Raphael, Rajalakshmi Raja, Aarav Kannan Jayakumar, Malarvizhi Nandagopal, Balamurugan Balusamy, George Ghinea

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Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping by Mashoukur Rahaman, Jane Southworth, Yixin Wen, David Keellings

“…This study presents a comprehensive review and comparative analysis of traditional machine learning (ML) and deep learning (DL) models for land cover classification in agricultural remote sensing. …”
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Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis by Youness Chawki, Khalid Elasnaoui, Mohamed Ouhda

“…Indeed, researchers worldwide have dynamically participated in the field by publishing an important number of papers across various databases. In this context, we present a bibliometric analysis focused on the detection and classification of COVID-19 using Deep Learning and Machine Learning techniques, based on X-Ray and CT images. …”
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Face-to-Face or Flipped Learning Classroom: Which Method Enhances Iranian EFL Sixth-Grade Students’ Self-Efficacy in Virtual Learning Environment? by Vahid Norouzi Larsari, Farahman Farrokhi

“…The realm of education has experienced significant transformation driven by swift advancements in technology, leading to the rise of virtual learning as a key instructional approach. Within this context, the flipped classroom (FC) model has gained prominence as a modern, innovative methodology. …”
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Comparison of the Effect of Observational Learning and Self-Directed Learning in Improving Technical Skills in Nursing Anesthesia Students of Iran: A Quasi-Experimental Study by Pooya Mohamadali Zade, Pegah Arman, Nasrin Shirmohammadi-Khoram, Ibrahim Kareem Muhammad, Siavash Sangi, Mobin Arian

“… Background: The skill of intubation is one of the most important technical skills for anesthesia nurses, as it can be a lifesaver in times of crisis. Learning by observation (a method in which the learner observes the teacher and learns the skill through watching) and self-directed learning (the learner identifies their needs using their creativity, sets goals, and learns the desired skill through trial and error) are effective methods for learning technical skills. …”
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Comparison of Deep Transfer Learning Against Contrastive Learning in Industrial Quality Applications for Heavily Unbalanced Data Scenarios When Data Augmentation Is Limited by Amir Farmanesh, Raúl G. Sanchis, Joaquín Ordieres-Meré

“…AI-oriented quality inspection in manufacturing often faces highly imbalanced data, as defective products are rare, and there are limited possibilities for data augmentation. This paper presents a systematic comparison between Deep Transfer Learning (DTL) and Contrastive Learning (CL) under such challenging conditions, addressing a critical gap in the industrial machine learning literature. …”
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Supporting statistical literacy skills for prospective teachers: A learning trajectory used South Sumatra local wisdom context through hybrid learning by Rahma Siska Utari, Ratu Ilma Indra Putri, Zulkardi Zulkardi, Hapizah Hapizah

“…Data analysis involved comparing the Hypothetical Learning Trajectory (HLT) with the Actual Learning Trajectory (ALT) in the retrospective analysis stage to develop the LT. …”
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Lessons Learned from Assessing the Quality of Virtual Learning during the COVID-19 Pandemic: Students’ Perspectives from Zahedan University of Medical Sciences by Leila Safabakhsh, Mohammad Javad Afsharpour, Javid Dehghan Haghighi, Afsaneh Karimi

“…The present study aimed to investigate the status of virtual learning from the perspective of students at Zahedan University of Medical Sciences (ZAUMS), Iran.Methods: In this cross-sectional study, 390 students’ perspectives from five faculties of ZAUMS, were selected using a stratified sampling method from January to February 2023. …”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…Results In this study, we present NeXtMD, a novel dual-module stacked framework that integrates both machine learning (ML) and deep learning (DL) components for accurate AIP identification. …”
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Developing a three-strand approach to playfulness in learning development by Michelle Denby, Sam Zelibe

“…The presentation focused on three examples of playful approaches: • The use of digital and traditional game-based learning within otherwise performance-driven classes…”
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ORUD-Detect: A Comprehensive Approach to Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning–Deep Learning Models with Embedding Techniques by Nisar Hussain, Amna Qasim, Gull Mehak, Olga Kolesnikova, Alexander Gelbukh, Grigori Sidorov

“…In this paper, we perform a comprehensive study of offensive language detection models on Roman Urdu datasets using both Machine Learning (ML) and Deep Learning (DL) approaches. We present a dataset of 89,968 Facebook comments and extensive preprocessing techniques such as TF-IDF features, Word2Vec, and fastText embeddings to address linguistic idiosyncrasies and code-mixed aspects of Roman Urdu. …”
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Student-led discussions of landmark discovery articles: a foothold in teaching primary virology literature by Camilla E. Hippee, Aloysius Klingelhutz, Li Wu

“…In our virology discussion courses, we address this issue by creating a student-centered and active learning environment. Students present and guide discussions on the rationales, background, methods, results, and conclusions from research literature in class. …”
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Examining E-tutors Experiences of Facilitating Modules through a Learning Management System: A Case Study of an Open Distance E-Learning Institution by Mpipo Zipporah Sedio

“…The paper employed a Constructivism learning theory as a lens for the paper. Quantitative analysis was used to collect accounts from five e-tutors and the accounts were arranged and presented in tables. …”
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University Students’ Autonomous Learning Behaviors in Three Different Modes of ICT-Based Instruction in the COVID-19 Era: A Case Study of Lockdown Learning by Mátyás Bánhegyi, Balázs Fajt

“…A self-developed questionnaire was used to explore some aspects of learner autonomy relying on the action-oriented dimensions of Tassinari’s (2015) dynamic model of learner autonomy. The present paper aimed to investigate how university students in Hungary regulated their learning processes during the first wave of the COVID-19 epidemic in 2020 with regards to three Information and Communication Technology (ICT)-based teaching modes. …”
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Fostering self-regulated learning using synchronous or asynchronous digital learning environments: a latent profile analysis of pre-service teachers’ individual differences by Nathalie Barz, Manuela Benick, Laura Dörrenbächer-Ulrich, Franziska Perels

“…Therefore, addressing SRL and teaching SRL strategies to students seems relevant to pre-service teacher training. The present study aims to analyze pre-service teachers’ SRL profiles in asynchronous and synchronous digital learning environments and compares their influence on training effectiveness. …”
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Motion-generation system for violin-playing robot using reinforcement learning differences in bowing parameters due to changes in learning conditions and sound pressure values by Kenzo Horigome, Koji Shibuya

“…This study introduces the design of this system. It also presents simulation results on the differences in bowing parameters caused by changes in learning conditions and sound-pressure values. …”
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The Role of the Visual Versus Verbal Modality in Learning Novel Verbs by Maria Luisa Lorusso, Laura Pigazzini, Laura Zampini, Michele Burigo, Martina Caccia, Anna Milani, Massimo Molteni

“…In Experiment 2, 15 children aged 8 to 10 had to judge pictures as (not) being examples of previously verbally or visually presented novel verbs. Results: The results of Experiment 1 show more accurate explanations after verbal presentation across all grades. …”
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Enhancing dental education through case-based learning - An overview by Hema Kanathila, Suvidha Patil, Karuna S. Patwardhan, Shrey Jadhav

“…Case-based learning is a learning approach where students engage in discussion of intricate real-life cases through discussion and analysis of in-depth case studies. …”
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