Results 91 to 100 of about 347,866 (276)

Data Mining in the E-Learning Systems: A Virtual University Case Study

International Journal of Information and Communication Technology Research, 2012
Virtual learning environments provide the opportunity for the students to learn educational materials in educational institutions from different parts and places and with no requirement to physical presence. Over the time, a host of different information
Behrouz Minaei Bidgoli, SSeyed Hassan Hani, Vahid Ghanbari   +2 more
doaj  

Enhancing Student Performance Prediction via Educational Data Mining on Academic data

Informatics in Education
Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on.
Zareen Alamgir, Habiba Akram, Saira Karim, Aamir Wali   +3 more
doaj   +1 more source

Mining learning preferences in web-based instruction: Holists vs. Serialists [PDF]

, 2011
Web-based instruction programs are used by learners with diverse knowledge, skills and needs. These differences determine their preferences for the design of Web-based instruction programs and ultimately influence learners' success in using them ...
Chen, SY, Clewley, N, Liu, X
core  

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Data Mining Application in Higher Learning Institutions

Informatics in Education, 2008
One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more complex as the complexity of educational entities increase.
Naeimeh DELAVARI, Somnuk PHON-AMNUAISUK, Mohammad Reza BEIKZADEH   +2 more
doaj   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Stress Factors in Higher Education: A Data Analysis Case

Data
This study investigates stressors in higher education, focusing on their impact on students and faculty at Universidad Politécnica Salesiana (UPS) and using eight years of comprehensive data.
Rodolfo Bojorque, Fernando Moscoso, Fernando Pesántez, Ángela Flores   +3 more
doaj   +1 more source

Sequence Modelling For Analysing Student Interaction with Educational Systems

, 2017
The analysis of log data generated by online educational systems is an important task for improving the systems, and furthering our knowledge of how students learn.
Alstrup, Stephen, Hansen, Casper, Hansen, Christian, Hjuler, Niklas, Lioma, Christina   +4 more
core  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source