Competency-Based Hybrid Learning: A Modern Approach to Teaching Programming and Digital Technologies Subjects by Erik Kucera, Oto Haffner

“…This article presents a comprehensive overview of a competency-based hybrid learning methodology, developed and implemented during the pandemic. …”
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Improving Bimonthly Landscape Monitoring in Morocco, North Africa, by Integrating Machine Learning with GRASS GIS by Polina Lemenkova

“…The methodology includes ML modules of GRASS GIS ‘r.learn.train’, ‘r.learn.predict’, and ‘r.random’ with algorithms of supervised classification implemented from the Scikit-Learn libraries of Python. …”
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OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. by Jonathan M Matthews, Brooke Schuster, Sara Saheb Kashaf, Ping Liu, Rakefet Ben-Yishay, Dana Ishay-Ronen, Evgeny Izumchenko, Le Shen, Christopher R Weber, Margaret Bielski, Sonia S Kupfer, Mustafa Bilgic, Andrey Rzhetsky, Savaş Tay

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Recent Advances in Federated Learning for Connected Autonomous Vehicles: Addressing Privacy, Performance, and Scalability Challenges by Asad Ali, Huang Jianjun, Ayesha Jabbar

“…FL presents a decentralized infrastructure that allows collaborative learning, while also ensuring data privacy, as CAVs increasingly rely on machine learning to process large amounts of sensor data. …”
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Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach by Mihail Kolev

“…A machine learning-based approach is presented for predicting the mechanical properties of Cu-Ti alloys utilizing a dataset of various features, including compositional elements and processing parameters. …”
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The Discriminants of Long and Short Duration Failures in Fulfillment Sortation Equipment: A Machine Learning Approach by Abed Mutemi, Fernando Bacao

“…The length of time that fulfillment center equipment failures last is particularly important because it affects operational costs dramatically. A machine learning approach for identifying long and short equipment failures is presented using historical equipment failure and fault data. …”
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Applications of Machine Learning for Wine Recognition Based on ¹H-NMR Spectroscopy by Ariana Raluca Hategan, Adrian Pirnau, Dana Alina Magdas

“…The present study aims to explore the possibility of applying machine learning (ML) algorithms for the development of reliable wine authentication instruments able to encompass the exhaustive performances offered by learning-based methods, and, at the same time, to propose reference practices for improving the recognition ability of the developed models. …”
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Deep Learning for Sector-Specific Labor Market Forecasting: Integrating Job Postings and Macroeconomic Indicators by Haojun Ding

“…This paper presents a sector-specific employment forecasting framework that integrates deep learning with heterogeneous labor market data, including job postings and macroeconomic indicators. …”
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A hybrid model combining environmental analysis and machine learning for predicting AI education quality by Xinyu Ren

“…Therefore, in this study, firstly, by dividing the macro environment into three different parts, including external, intermediate, and internal, a set of corrective measures in the university teaching and learning management in the background of AI education is proposed, and also the effects of their application in the management of teaching and learning in universities were discussed. …”
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Active learning accelerated exploration of single-atom local environments in multimetallic systems for oxygen electrocatalysis by Hoje Chun, Jaclyn R. Lunger, Jeung Ku Kang, Rafael Gómez-Bombarelli, Byungchan Han

“…The GNN learns the chemical environments to capture composition-structure-property relationships for ORR/OER activity and selectivity. …”
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A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean by Zihan Wang, Fengming Hui, Xiao Cheng

“…Based on machine learning regression methods and ERA5-Land reanalysis data, we designed distinct reconstruction frameworks for discharge and temperature, considering the different characteristics of the observational data. …”
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QUALITY STANDARDS FOR DISTANCE LEARNING IN HIGHER EDUCATION: A COMPARATIVE ANALYSIS OF CANADIAN AND RUSSIAN PRACTICES by Natalia V. Buhanova, Konstantin V. Kuz’min, Larisa E. Petrova, Sergey A. Chemezov

“…In Russia, the system of quality assurance for distance learning is regulated by the State. At present, Russia has developed policies on distance learning but unified quality standards in this field are absent. …”
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Experiences of heads of department in managing teaching and learning in commercial subjects: A literature-based study by Ayanda Maseko

“…However, this study investigated the experiences of HODs in managing commercial teaching and learning. Qualitative techniques were used in this study to better understand the roles of HODs in controlling teaching and learning on commercial topics. …”
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A brain tumor segmentation enhancement in MRI images using U-Net and transfer learning by Amin Pourmahboubi, Nazanin Arsalani Saeed, Hamed Tabrizchi

“…Abstract This paper presents a novel transfer learning approach for segmenting brain tumors in Magnetic Resonance Imaging (MRI) images. …”
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The impact of emotional contagion on second/foreign language learning environments in terms of student motivation and achievement by Yahya Gordani, Mahnaz Ezhdehakosh, Arash Saharkhiz Arabani, Davood Taghipour Bazargani

“…Abstract The present study examined any possible relationship between teachers’ emotional contagion and their learners’ achievement and motivation for learning English as a foreign language (EFL). …”
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Exploring entrepreneurial intentions: integrating Kolb’s experiential learning theory with Ajzen’s theory of planned behaviour by Pushparaj M. Nayak, Madhukara Nayak, Harisha G. Joshi

“…This study investigated the influence of experiential learning (EL) on entrepreneurial intention (EI) of the students through the lens of perceived behavioural control (PBC). …”
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Hate speech detection in Arabic social networks using deep learning and fine-tuned embeddings by Samar Al-Saqqa, Arafat Awajan, Bassam Hammo

“…Therefore, in most website policies, automatic hate speech detection is required, and early automatic detection or filtering of such content is critical and necessary in online social networks, especially with large and increasingly user-generated content. This paper presents a suggested model to enhance the detection performance of hate speech using deep learning models with two types of word embedding models, the first model is Arabic models based on Wor2Vec including AraVec and Mazajak. …”
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Implementing inter-institutional lifelong sustainability education: The UNI-ECO e-learning case study by Silvia Gallagher, Paula Murphy

“…It presents a novel instructional design model for sustainability knowledge dissemination and behavioural change applied in five sustainability e-learning modules. …”
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Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware by Akash Kundu

“…This paper addresses this challenge by integrating reinforcement learning (RL) with convolutional neural networks, employing an iterative approach to optimize the quantum circuit and its parameters. …”
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Teaching and learning to support climate-neutral transitions: Exploring opportunities and challenges for interdisciplinary design courses by Robin A. Chang, Nikoo Mohajermoghari, Wang Yu, Agnieszka Wendland

“…Students’ individual and collective learning processes in interdisciplinary teaching and learning activities that integrate prototype-oriented courses present an opportunity for further exploration. …”
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