Peer review for handoff education in a transition to residency course: A prospective cohort study by Rajiv Trehan, Catherine Chen, Raman Bhalla

“…Communication errors, including errors during handoffs of patient care, account for over 2/3 of sentinel events. …”
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Methods and reliability study of moral education assessment in universities: A machine learning-based approach by Ting Jin

“…Among the models tested, SVR exhibits the highest predictive accuracy, whereas k-NN returns the widest prediction errors. The study recommends the deployment of AI-based moral assessment systems in universities to ensure consistent and objective evaluation processes for policy development.…”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

“…Evaluated through rigorous 5-fold cross-validation on a comprehensive dataset of 1200 anonymized student records and validated across multiple educational platforms, including UCI Student Performance and Open University Learning Analytics datasets, CognifyNet demonstrates superior performance over conventional approaches, achieving 10.5% reduction in mean squared error and 83% reduction in mean absolute error compared to baseline random forest models, with statistical significance confirmed through paired t-tests (p < 0.01). …”
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BIZ4FUN - 3D VIRTUAL WORLD AS A MOTIVATOR FOR YOUTH ENTREPRENEURSHIP EDUCATION by Sorin IONITESCU, Rafael Heitor Correia de MELO, Dorina POPOVICI, Aura CONCI

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HISTORICAL EXPERIENCE OF HIGHER EDUCATION QUALITY MONITORING ON THE CASE OF SOCIOLOGICAL SURVEY «TEACHER’S EYE STUDENTS» by Tetiana Kuprii, Svitlana Shchudlo

“…The systematic and systematic implementation of the international surveys in conducting sociological monitoring, the students’ taking of the organization of the educational process will allow to trace the dynamics of positive or negative tendencies, to minimize the errors of the study, to offer real measures to optimize certain aspects of educational activity.…”

Tutors’ and Tutees’ Behaviors, Attitudes, and Perspectives Regarding EFL Peer Tutoring in Higher Education in Mexico by Janeth Sanchez-Aguilar

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The need for non-technical skills education in Iranian operating room practitioners: A letter to the editor by Somayeh Gheysari, Mehdi Hasanshahi, Reza Kalantari

“…Developing structured curricula and regular training programs for operating room staff is essential to enhance non-technical skills, reduce errors, and improve surgical safety. Universities and hospitals should implement educational programs to improve non-technical skills among operating room personnel and ensure surgical safety.…”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

“…The GRU yields the lowest mean errors MAE of 0.2246, RMSE=0.2516, and superior short-term predictions k=4 MAE of 0.1319 and RMSE of 0.1319. …”
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Design and evaluation of children’s education interactive learning system based on human computer interaction technology by Mengru Li, Yang Lv, Yongming Pu, Min Wu

“…User satisfaction reaches 94%, and the error rate is 0.2%. These results demonstrate that the developed learning system significantly impacts children’s learning effectiveness and optimizing user experience.…”
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Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks by Haotian Zhu, Yao Sun, Junfeng Yang

“…Using a combined approach of systematic review and grounded theory coding, ethical risks were categorized into three dimensions: technology, education, and society. In the technology dimension, risks include privacy invasion, data leakage, algorithmic bias, the black box algorithm, and algorithmic error. …”
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Digitalisation and transformation in higher education in Bangladesh during the COVID-19 pandemic: implications for policy and leadership by M. Mahruf C. Shohel, Goutam Roy, Md. Ashrafuzzaman, Munira Azhar Urmee

“…Teachers developed their practice through trial and error, reflection and learning to overcome the limitations of the existing higher education system. …”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Case studies reveal common success factors, including significant time savings, error reduction, and improved satisfaction for both students and staff. …”
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Item analysis of the role of teachers in efforts to prevent the three great sins of education with rasch modeling by Muhammad Andrian, Suratno Martodiryo, Muhammad Rahmattullah, Mahmudah Hasanah

“…The sample of 197 people was taken based on the Isaac and Michael formula with a sampling error rate of 5% selected using a systematic sampling technique from 613 people. …”
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Implementation of the Pancasila student profile strengthening project (p5) in early childhood education (PAUD) by Agus Ruswandi, Andina Alviona, Ghina Hasna, Ine Amelia, Jihan Nabilla

“…The sampling technique used is simple random sampling with a margin of error of 5%. A total of 78 PAUD teachers in the Buah Batu District, Bandung City, West Java Province. …”
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The Mediating Effect of Accounting Information Quality on the Relationship Between Workforce Education Level and Investment Efficiency by Ayat Naji Mahdi Al-Obaidi, Pari Chalaki, Mehdi Heidari

“…A more educated workforce can enhance accounting information quality through various mechanisms, such as providing data to accounting systems that is less prone to errors (Andreou et al., 2017), identifying and reporting irregular or potentially fraudulent transactions (Call et al., 2016), improving the effectiveness of internal controls and reducing risks (Fu et al., 2020), and increasing transparency in financial reporting (Call et al., 2017). …”
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Defining Authenticity of the Y Balance Test Implemented by an Intellectual Programmed Tool in Inclusive Physical Education by Oksana Blavt, Fedir Zahura, Tetiana Helzhynska, Khrystyna Khimenes, Mykhailo Huska, Tetyana Gurtova, Lіubov Levandowska, Rostyslav Tymkovych

“…This matrix registers pressure changes at the points of contact for the student’s foot and automatically identifies loss of balance, foot movement, or errors related to changes in body position. Integrating information from the MPU-6050 GY-521 module and “intelligent vectors” is facilitated by using the Arduino Uno board comprising the ATmega328P microcontroller as the main processor and the ATmega16U2 microcontroller for communication with a PC via a USB port. …”
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A Human-Centered Approach to Academic Performance Prediction Using Personality Factors in Educational AI by Muhammad Adnan Aslam, Fiza Murtaza, Muhammad Ehatisham Ul Haq, Amanullah Yasin, Muhammad Awais Azam

“…As artificial intelligence (AI) becomes increasingly integrated into educational environments, adopting a human-centered approach is essential for enhancing student outcomes. …”
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Development and validation of the QASSH scale: a tool for assessing the quality of simulation scenarios in healthcare education by Etienne Rivière, Guillaume Der Sahakian, Marie-Laurence Tremblay, Gilles Chiniara

“…Simulation-based education has become essential for pre- and post-graduate training of healthcare professionals. …”
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A neural network-based model for cultivating applied talents in the context of industry-education integration by Lei Tong, Jingjing Zhang, Lixiao Yue, Li Chen, Mengxiang Wang

“…Results showed that the optimized model performed well with small datasets (1,000 data points), achieving a Log Loss of 0.106, a Mean Absolute Error (MAE) of 0.057, an Area Under the Precision-Recall Curve (AUC-PR) of 0.896, and an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.975. …”
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Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis by Darren Liu, Xiao Hu, Canhua Xiao, Jinbing Bai, Zahra A Barandouzi, Stephanie Lee, Caitlin Webster, La-Urshalar Brock, Lindsay Lee, Delgersuren Bold, Yufen Lin

“…LLMs demonstrated strong translation capabilities, achieving an accuracy of 96.7% (87/90) for Spanish and 81.1% (73/90) for Chinese translations. Common errors included imprecise scopes, inaccuracies in definitions, and content that lacked actionable recommendations. …”
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