CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning by Abdulrahman A. Alkannad, Ahmad Al Smadi, Shuyuan Yang, Mutasem K. Al-Smadi, Moeen Al-Makhlafi, Zhixi Feng, Zhenlong Yin

“…In response to the growing demand for more advanced crack detection techniques, this paper presents CrackVision, an advanced framework that leverages Transfer Learning (TL) to enhance traditional methods of concrete crack detection. …”
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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

“…Methods: The design of present study is causal comparative type (ex post facto). the population includes all second secondary level students who learn English in language training institutions. …”
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Learning analytics in immersive virtual learning environments: a systematic literature review by Lei Tao, Mutlu Cukurova, Yanjie Song

“…The paper presents the findings from 34 peer-reviewed journal articles and conference proceedings, describing their research purposes, learning environments, subjects, theoretical frameworks, data types, data analysis techniques, and challenges. …”
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Investigation of students' academic participation in combined learning based on learning management system. by Daryadokht Masroor Roudsar, Haghani Hamid, Dehnad Afsaneh, Mojtaba Ghanbari Ghalesari, Shoub Ghasemi Maryam, Rokni Akbarian Mostafa

“…Aim and Purpose – Using new methods and proper and interactive experiences can help improve the quality and attractiveness of education. The present study aimed to investigating the relationship between academic participation of nursing students who use combination education based on learning management system (LMS) and studied their degree of academic participation. …”
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…In this case, it is crucial for researchers to explore the possibilities of updating certain tools, either to combine them or to develop them to adapt them to modern tasks in order to provide a clearer understanding of the results of their treatment. We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. …”
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Comparison of Machine Learning and Deep Learning Models Performance in predicting wind energy by Saswati Rakshit, Anal Ranjan Sengupta

“…Visualization techniques were employed to compare model performances comprehensively, providing clear insights into their predictive power. Therefore, this present study offers a robust framework for researchers and practitioners aiming to leverage machine learning and time series forecasting in the realm of renewable energy prediction. …”
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Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning by Ce Feng, Parv Venkitasubramaniam

“…The increasing adoption of machine learning at the edge (ML-at-the-edge) and federated learning (FL) presents a dual challenge: ensuring data privacy as well as addressing resource constraints such as limited computational power, memory, and communication bandwidth. …”
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Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review by Habiba Njeri Ngugi, Andronicus A. Akinyelu, Absalom E. Ezugwu

“…Early and accurate detection is essential for timely intervention and sustainable farming. This paper presents a review of machine learning (ML) and deep learning (DL) techniques for crop disease diagnosis, focusing on Support Vector Machines (SVMs), Random Forest (RF), k-Nearest Neighbors (KNNs), and deep models like VGG16, ResNet50, and DenseNet121. …”
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Do High School Students Learn More or Shift Their Beliefs and Attitudes Toward Learning Physics with the Social Constructivism of Problem-Based Learning? by Amangul Sagatbek, Temitayo Kehinde Oni, Emily Adah Miller, Gulmira Gabdullina, Nuri Balta

“…Rooted in social constructivist learning theory, problem-based learning (PBL) is a tool that deepens students’ learning of complex subjects and improves students’ attitudes and beliefs towards learning. …”
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IMPLEMENTATION OF THE PROJECT-BASED LEARNING (PJBL) MODEL ASSISTED BY MOBILE LEARNING ON CRITICAL THINKING SKILLS IN IPAS LEARNING FOR FIFTH GRADE ELEMENTARY STUDENTS by Eko Prasetyo Nur Utomo, Yeri Sutopo, Arief Yulianto, Sri Sumartiningsih, Agus Yuwono

“…Data analysis starts with data reduction, data presentation, and conclusion. The results of this study indicate that the Kurikulum Merdeka and Project based learning (PjBL) with mobile learning has been implemented in Class V. …”
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Creating online, inclusive spaces for learning: ‘Study Together’ with the personal learning advice service by Janet Lindley, Mary-Jayne Wilton

“…Our presentation spoke directly to the ALDcon24 theme ‘Building inclusive learning development spaces’ and invited delegates to consider the place of virtual, guided study spaces in their own practice. …”
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PENGARUH E-LEARNING EDMODO DENGAN MODEL BLENDED LEARNING TERHADAP MINAT BELAJAR by Syifa Fauziyah, Mochamad Bruri Triyono

“…The results of this study show that there is a significant effect between the students learning using edmodo e-learning with blended learning model compares to the students learning using presentation slides only. …”
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Para além do conceito cotidiano: a concepção de atividades de ensino-aprendizagem com vistas à (re)conceitualização de apresentações acadêmicas = Beyond the everyday concept: the conception of teaching-learning activities aimed at the (re)conceptualization of academic presentations by Dellagnelo, Adriana de Carvalho Kuerten, Silva, Leonardo da, Rocha, Nara Vieira da

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A value-oriented creative approach to a future science teacher training at the present stage by Aksinya Egorovna Egorova, Marina Petrovna Andreeva

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Creating a Sustainable Learning Environment for Teaching and Learning: Honouring the Legacy of Sechaba Mahlomaholo by Sibonokuhle Ndlovu

“…Using literature from his own works and underpinned by the Social Justice Theory, the paper presented and discussed Sechaba Mahlomaholo creation of sustainable environment for teaching and learning by the marginalised at all levels of education. …”
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Difficulties of learning probability concepts, the reasons why these concepts cannot be learned and suggestions for solution by Dilek Sezgin MEMNUN

“…Most of the students develop perception about lots of probability concepts and they have difficulty finding a reason for probability events. Thus, in the present study, the difficulties faced while learning probability concepts and the reasons why these concepts cannot be learned well are investigated, these reasons are tried to be put forward, and some suggestions for solutions regarding these concepts are presented. …”
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A Review of Developments and Metrology in Machine Learning and Deep Learning for Wearable IoT Devices by Minh Long Hoang

“…This research explores the integration of Artificial Intelligence (AI) in wearable devices, including smartwatches, fitness trackers, smart clothing, and smart eyewear. Machine Learning (ML) and Deep Learning (DL) play a crucial role in enhancing these devices, leveraging sophisticated algorithms within the Internet of Things (IoT) ecosystem. …”
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Deep Learning and Federated Learning in Breast Cancer Screening and Diagnosis: A Systematic Review by Alexandru Ciobotaru, Cosmina Corches, Dan Gota, Liviu Miclea

“…This study presents a comprehensive review of recent deep learning and federated learning-based methods for breast cancer screening and diagnosis from the classification, segmentation, and detection viewpoints using ultrasonography, mammography, magnetic resonance imaging, and histopathology images. …”
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A systematic review of machine learning and deep learning approaches in plant species detection by Deepti Barhate, Sunil Pathak, Bhupesh Kumar Singh, Amit Jain, Ashutosh Kumar Dubey

“…In this article, we presented a systematic review of effective machine learning methods and image processing and deep learning algorithms for plant species recognition that have been used by researchers. …”
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Self-Access Language Learning: Students’ Perceptions of and Experiences Within this New Mode of Learning by Luz Edith Herrera Díaz

“…With the aim of fostering autonomy in learning, both innovations, the self-access centre and the mode of learning derived from it, were adopted in the context of the study (Language Centre in the University of Veracruz, Mexico). …”
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