Developing Performance Assessment Instruments to Measure 4C Skills in Online Discussion Activities of Science Learning by Yuyun Maryuningsih, Topik Hidayat, Riandi Riandi, Nuryani Rustaman

Get full text

Cumulative Summation (CUSUM)—as a tool for objective analysis of learning curve for surgeons in acquiring competency in phacoemulsification by Emily Ming Choo Ng, Mohamad Aziz Salowi, Othmaliza Othman, Rosmawati Uthman, Nor Fariza Ngah

“…By aggregating the CUSUM scores of all participating surgeons, we observed that the graph representing the learning curve reached a plateau after 75 cases. Conclusion The learning curve was constructed using the CUSUM score, and surgeons required at least 75 cases to achieve competency in phacoemulsification.…”
Get full text

The development and validation of a multi-dimensional medical students’ learning self-efficacy questionnaire for clinical education by Chia-Ter Chao, Jyh-Chong Liang

Get full text

Building pre-service teachers’ resilience through Service-Learning: an explanatory sequential mixed methods study by Marta Sánchez-Jiménez, Marta Sánchez-Jiménez, María Maravé-Vivas, Jesús Gil-Gómez, Celina Salvador-Garcia

“…To this end, the Resilience Questionnaire for Adults (RQA) was administered before and after a Service-Learning program. The reflection diaries written by the participants (n = 54) were analyzed too. …”
Get full text

Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

“…In recent years, due to high self-learning and self-optimization ability, reinforcement learning has emerged in the field of economic dispatch, which can solve model-free dynamic programming problems that cannot be effectively solved by traditional optimization methods. …”
Get full text

Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

“…Ferroptosis, a novel form of programmed cell death, may play a key role in CS and AS. …”
Get full text

NOVEL KEY VARIABLES IN THE SURVIVAL OF PATIENTS WITH MYELODYSPLASTIC NEOPLASMS: A PRACTICAL APPROACH USING MACHINE LEARNING by PRC Passos, RDB Dias, SCC Carneiro, IB Nogueira, JMGF Lima, RC Venâncio, ACG Lavor, JVG Gama, RF Pinheiro, SMM Magalhães

Get full text

Interprofessional Differences in Multidimensional Self-Efficacy Associated With Professional Performance in Nephrology During Case-Based Learning by Chia-Ter Chao, Mei-Yi Wu, Kuan-Yu Hung, Mai-Szu Wu, Jyh-Chong Liang

Get full text

Data-Driven Insights into Concrete Flow and Strength: Advancing Smart Material Design Using Machine Learning Strategies by Muwaffaq Alqurashi

“…Compressive strength (CS) and workability (flow) are two important performance measures of concrete, and this paper investigates how two evolutionary machine learning methods, gene expression programming (GEP) and multi-expression programming (MEP), might be used for this purpose. …”
Get full text

Identification of hub genes for the diagnosis associated with heart failure using multiple cell death patterns by Hua‐jing Yuan, Hui Yu, Yi‐ding Yu, Xiu‐juan Liu, Wen‐wen Liu, Yi‐tao Xue, Yan Li

“…Bioinformatics and machine learning algorithms were utilized to screen the HF key genes and PCD‐related HF hub genes, and an HF diagnostic model was constructed on this. …”
Get full text

A socio-constructivist framework for tactical development in team sports: fostering critical thinking through collaborative learning by Samuel Jose Octavio Gaviria Alzate, Wilder Valencia Sánchez, Elkin Arias Arias

Get full text

DIRECTIONS OF PREPARATION OF FUTURE TEACHERS TO THE USE OF DISTANCE LEARNING TECHNOLOGIES IN PROFESSIONAL ACTIVITY (PRAXIOLOGICAL ASPECT OF THE ACTIVITY APPROACH) by Tatyana A. Boronenko, Vera S. Fedotova

“…The system of training to implementation of the distance learning technologies in the teaching activity is developed and described, consisting of the following directions: realisation within the program of the principal educational program of specialised training courses in variable-based curriculum parts; the organisation of educational and research activity of students with the use of distance learning technologies; classroom-based and extracurricular independent work of students directed to designing of teaching and learning aids and materials on the basis of distance learning technologies; application of elements of distance learning technologies for students’ teaching; attraction of students to formation of corpus of multimedia educational resources of university. …”
Get full text

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database. by Ryoya Tsunoda, Keitaro Kume, Rina Kagawa, Masaru Sanuki, Hiroyuki Kitagawa, Kaori Mase, Kunihiro Yamagata

“…A manual analysis of the diagnostic accuracy and machine learning was performed. For machine learning, the datasets were preprocessed in three patterns and assigned to the XGBoost program using five-fold cross-validation. …”
Get full text

An effectiveness of machine learning models for estimate the financial cost of assistive services to disability care in the Kingdom of Saudi Arabia by Obaid Algahtani, Mohammed M. A. Almazah, Farouq Alshormani

“…Next, an ensemble of machine learning (ML) models comprises three classifiers such as hybrid kernel extreme learning machine (HKELM), extreme gradient boosting (XGBoost), and support vector regression (SVR) for predicting the financial cost. …”
Get full text

The Impact of Open and Distance Learning (ODL) on Students' Psychological Well‐Being in Bangladesh: A Cross‐Sectional Study by Shahima Jabin

“…ABSTRACT Background and Aim The move towards Open and Distance Learning (ODL) has changed students' overall lives and perspectives in Bangladesh. …”
Get full text

Understanding How AI Chatbots Influence EFL Learners’ Oral English Learning Motivation and Outcomes: Evidence From Chinese Learners by Wenbo Wei, An Zhao, Hongning Ma

“…Designers can use them to optimize language learning programs for AI chatbots.…”
Get full text

Critical thinking skills of prospective chemistry teachers in chemistry learning with Ethno-Socio-Scientific issues integrated inquiry by Ratna Kumala Dewi, Sri Rahayu, Muntholib Muntholib, Woro Sumarni

Get full text

Conceptual Framework of Inquiry-Creative-Process Learning Model to Promote Critical Thinking Skills of Physics Prospective Teachers by W. Wahyudi, N. N. S. P. Verawati, S. Ayub, S. Prayogi

Get full text

The effects of students’ previous learning on graph-comprehension in the English as second language (ESL) textbooks in a Pakistani university by Irfan A Rind, Sajjad Alhawsawi

“…The recent emphasis on the importance of English language teaching and learning in public universities in Pakistan has resulted in the introduction of a new English as Second Language (ESL) programme including revised textbooks. …”
Get full text

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…Within the framework of computational biology and machine learning strategies, and against the backdrop of global multicenter sepsis cohort data, this study aims to deeply mine and screen specific biomarkers related to the immune microenvironment and programmed cell death in populations across different life stages (neonates, children, and adults). …”
Get full text