Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations by Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou

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Optimized image segmentation using an improved reptile search algorithm with Gbest operator for multi-level thresholding by Laith Abualigah, Nada Khalil Al-Okbi, Saleh Ali Alomari, Mohammad H. Almomani, Sahar Moneam, Maryam A. Yousif, Vaclav Snasel, Kashif Saleem, Aseel Smerat, Absalom E. Ezugwu

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Design optimization of university ideological and political education system based on deep learning by Shangle Ai, Huanhuan Ding

“…This proves the powerful ability of deep learning model in dealing with complex data and capturing the internal laws and relationships of data. …”
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Intelligent Course Plan Recommendation for Higher Education: A Framework of Decision Tree by Xiaoliang Chen, Jianzhong Zheng, Yajun Du, Mingwei Tang

“…The framework of outcomes-based education(OBE) has become a central issue for global university education, which is benefited to drive the education development by a series of assessments for historical teaching data, especially student course score, and employment information. …”
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Predictive analytics in gamified education: A hybrid model for identifying at-risk students by Devanshu Sawarkar, Latika Pinjarkar, Pratham Agrawal, Devansh Motghare

“…The method is as follows: • Combines logistic regression, decision trees, and random forests • Utilizes gamified education data for at-risk student prediction • Provides educators with a tool for early intervention in student supportThe computational approach converts raw educational data into actionable insights, enabling educators to deliver timely and targeted interventions. …”
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Educational improvement through machine learning: Strategic models for better PISA scores. by Bilal Baris Alkan, Serafettin Kuzucuk, Şevki Yetkin Odabasi, Leyla Karakuş

“…In this study, in addition to traditional variables such as economic wealth or the number of books read, on which many studies have already been conducted, variables that are thought to influence student achievement and better predict success are identified. Random Forest algorithm was used to identify important variables based on the PISA 2018 data, covering all three domains of science, mathematics and reading. …”
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“Voice of Student” in the Analysis of Components of Digital Educational Environment during Online Learning by Olga I. Popova, Galina S. Timokhina, Natalya B. Izakova, Larisa M. Kapustina

“…An authors’ algorithm for the Voice of Student study was developed to evaluate the consumer experience when students interact with components of the Digital Educational Environment during online learning. …”
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Estimating root zone soil moisture in farmland by integrating multi-source remote sensing data based on the water balance equation by Xuqian Bai, Shuailong Fan, Ruiqi Li, Tianjin Dai, Wangye Li, Sumeng Ye, Long Qian, Lu Liu, Zhitao Zhang, Haorui Chen, Haiying Chen, Youzhen Xiang, Junying Chen, Shikun Sun

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Enhancing intercultural competence in technical higher education through AI-driven frameworks by Qi Zhang, Mohammad Ismath Ramzy Mohammad Ismail, ABD Razak Bin Zakaria

“…This study utilizes the AI approaches for assessing the ICC in higher education. The Apriori algorithm analyses the association among the instructional tasks and ICC learning outcomes to find the teaching strategies most effectively build the cultural knowledge. …”
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Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis by Cuixia Wang

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A Method of Intelligent Driving-Style Recognition Using Natural Driving Data by Siyang Zhang, Zherui Zhang, Chi Zhao

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Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles by Tae-Yeun Kim, Hoon Ko, Sung-Hwan Kim

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Cludoop: An Efficient Distributed Density-Based Clustering for Big Data Using Hadoop by Yanwei Yu, Jindong Zhao, Xiaodong Wang, Qin Wang, Yonggang Zhang

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Analysis of IoT-Collected Radish Growth Data Using Deep Neural Networks by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

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A Transformation of the Way of Thinking: Key Principles in Programming Education Inspired by Pascal by Valentina Dagienė, Gintautas Grigas, Tatjana Jevsikova

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Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration by Lucas Kohnke, Di Zou, Amy Wanyu Ou, Michelle Mingyue Gu

“…The participants also highlighted significant challenges in developing AI literacy, including insufficient training and a lack of institutional support in their programmes. The need to maintain data privacy and protect against algorithmic bias emerged as critical areas of concern. …”
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Addressing the Ethical, Legal, and Social Issues of Healthtech in Education: Insights From Japan by Motofumi Sumiya, Tomoko Nishimura, Kyoko Aizaki, Ikue Hirata, Nobuaki Tsukui, Yuko Osuka, Manabu Wakuta, Atsushi Senju

“…The study underscores the need for a multifaceted approach to mitigate risks such as data misuse, inequitable access, and algorithmic bias, ensuring the ethical and effective use of healthtech in education. …”
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Beyond raw data: AI-driven biosensor fusion for enhancing athletic performance by Peng Luo, Jun Song

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Ethical and Legal Challenges of Implementing AI in Science and Math Education in Central Asia by Dilfuza M.Makhmudova, Xilola R. Sharipova, Nosirjon K. Hojiyev, Azamat E.Ergashev, Yulduzknon Kh.Satvaldieva, Khosiyat U.Mamatkulova, Egambergan M. Khudoynazarov

“…A mixed-methods approach was employed. Quantitative data were collected through a structured survey from N = 341 educators, stratified by country, gender, age, and AI usage experience. …”
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Energy-Balanced Data Gathering and Aggregating in WSNs: A Compressed Sensing Scheme by Xiaofei Xing, Dongqing Xie, Guojun Wang

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