Exploration of the Needs and Development of Arabic Learning Content Based on Google Sites by Muhamad Muzaki Kurnia Ilahi Zaki, Ruhamaul Waro, Wardiyatul Husna

“…Based on the results of the needs analysis, a prototype of Arabic language learning content based on Google Sites was produced consisting of several types, including; vocabulary content, grammar, and four language skills (listening, speaking, reading, writing) which are presented in the form of text, animated images, audio, video and also equipped with interactive quizzes.' …”
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CANNABIDIOL IMPROVES LEARNING AND MEMORY AND EXERTS ANXIOLYTIC EFFECT IN EXPERIMENTAL STUDY by Maria Georgieva-Kotetarova, Ilin Kandilarov, Hristina Zlatanova, Natalia Vilmosh, Nikolay Yanchev, Delian Delev, Ilia Kostadinov

“…Experimental evidence indicates that CBD possesses antioxidant, anxiolytic and neuroprotective effects. The aim of the present study was to examine the effect of cannabidiol on learning and memory in scopolamine-induced memory impairment and its anxiolytic effect in a model of chronic stress. …”
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Unleashing EFL Learning in The Digital Age: Online Resources and Student Engagement by Herdi, Fauzan Fauzan, Ria Arista Asih, Ramanda Rizky

“…This present study is aimed at: (1) exploring the teaching materials, media, methods, strategies, teaching procedures/learning activities, and the assessments used in online learning resources to increase students’ motivation in EFL learning, and (2) investigating information in terms of students’ motivation documented with literature data serving as the primary source of information. …”
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Synaptic learning rules and sparse coding in a model sensory system. by Luca A Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer, Terrence J Sejnowski

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Student-Produced Films in Laboratory Courses as Learning Incentive and Exam Option by Liv-Irene Berglund, Kirsten Krause

“…A seminar served as an interactive platform for the students to present their films to their fellow students and exchange feedback before the films were assessed by evaluators as part of the examination. …”
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Digital learning initiatives forging inclusive education in post-conflict nations by Siddiqullah Barikzai, Vijayakumar Bharathi S, Arif Perdana

“…The transition to a post-conflict nation presents numerous challenges for higher education. …”
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Machine Learning Approaches to Code Similarity Measurement: A Systematic Review by Zixian Zhang, Takfarinas Saber

“…Despite the increasing application of ML technique in this domain, a comprehensive synthesis of existing methodologies remains lacking. This paper presents a systematic review of Machine Learning techniques applied to code similarity measurement, aiming to illuminate current methodologies and contribute valuable insights to the research community. …”
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Stealthy Assessment in Game-Based Learning: A Narrative Review Study by Najme Zamani, Hamid Yazdaninejad

“…Introduction: Game-based learning (GBL) has great potential as an engaging learning method in medical education. …”
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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

“…The proposed system works on three stages: pre-processing, feature extraction, and classification with machine learning algorithms including NB, KNN, ADA, DT, and CNN deep learning. …”
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Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms by Qi Su, Xiangchen Meng, Lin Sun, Zhongqiang Guo

“…Land Surface Temperature (LST) is essential for understanding the interactions between the land surface and the atmosphere. This study presents a comprehensive evaluation of machine learning (ML)-based downscaling algorithms to enhance the spatial resolution of MODIS LST data from 960 m to 30 m, leveraging auxiliary variables including vegetation indices, terrain parameters, and land surface reflectance. …”
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Learning Parameter Dependence for Fourier-Based Option Pricing with Tensor Trains by Rihito Sakurai, Haruto Takahashi, Koichi Miyamoto

“…A recent study has proposed to use tensor train learning algorithms to speed up Fourier transform (FT)-based option pricing, utilizing the ability of tensor trains to compress high-dimensional tensors. …”
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Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review by Dimitris Tsolakidis, Lazaros P. Gymnopoulos, Kosmas Dimitropoulos

“…These apps monitor various aspects of daily life, such as physical activity and calorie intake; collect extensive user data; and apply modern data-driven technologies, including artificial intelligence (AI) and machine learning (ML), to provide personalised diet and lifestyle recommendations. …”
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GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction by Humam M. Abdulsahib, Foad Ghaderi

“…Inspired by recent advancements in disentanglement representation learning, in this paper, we present a promising model for predicting financial markets that learn disentangled representations of features and eliminate those features that cause interference. …”
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Exhaustive search for novel multicomponent alloys with brute force and machine learning by Viktoriia Zinkovich, Vadim Sotskov, Alexander Shapeev, Evgeny Podryabinkin

“…Abstract We present an algorithm for the high-throughput computational discovery of intermetallic compounds in systems with a large number of components. …”
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Identifying the Quality of Lower-Grade Primary School Rhythmic Activity Learning by Ranintya Meikahani, Erwin Setyo, Dennis Dwi

“…These results illustrate that most respondents still cannot correctly fulfill the quality of rhythmic activity learning due to various factors according to the qualitative data presented in each variable, with the average data of the answer "yes" of 39%, which is in the category of poor quality. …”
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Learning from feces: a case study teaching microbiome analysis by Aeisha Thomas, Debra Davis, Jasmine Faue, Sierra Kicker

“…This case study was successfully implemented in Microbiology courses for both majors and non-majors as a multi-step module on microbiomes. This manuscript presents the case development process that includes undergraduate authors, learning objectives, teaching materials and the results of implementation. …”
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Children’s food gardening: valuing experiential, intergenerational and multi-cultural learning by Emma Sharp, Sophia Tsang, Victoria Egli

“…This study shows the significant value and importance of family/whānau-oriented learning, and of providing spaces for intergenerational gardening teaching and learning outside of school environments. …”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…More importantly, a self-attention mechanism is presented to smartly combine the results of these specialized CNNs so that the model can dynamically learn the significance of each type of features. …”
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A hybrid framework of generative deep learning for antiviral peptide discovery by Huynh Anh Duy, Tarapong Srisongkram

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'Sumud' as Connected Learning: Towards a Collective Digital Commons in Palestine by Howard Scott, Monaster Ujvari, Aida Mohammad Ali Bakeer, Khaled Shanaa

“…The digital commons is presented as a potential toolkit of decentralised online spaces for shared learning opportunities, encapsulating Sumud for connected learning among displaced people. …”
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