Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The purpose of this study is to deeply explore the application of information mining technology in online entrepreneurship training courses, and to improve students' learning effects and entrepreneurship success rate through systematic analysis and optimization of key data in the teaching process. With the development of online education, how to effectively use big data technology to meet personalized learning needs has become an important issue. This study takes several online entrepreneurship training courses as the research object, and uses information mining technology to extract and analyze students' behavioral data during course participation, including data on study time, interaction frequency, assessment results, etc. Through machine learning algorithms and association rule mining, the research revealed the main factors that affect students' learning effects and entrepreneurial success, and designed targeted teaching strategies, such as dynamically adjusting learning content, providing personalized feedback, optimizing learning paths, etc. Experimental results show that online courses using information mining technology significantly improve students' knowledge mastery and entrepreneurial success rate, especially in terms of personalized learning experience and teaching efficiency. In addition, this study also explores the application prospects of information mining technology in future online education. It is believed that through the combination with artificial intelligence (AI) technology, the intelligence and adaptability of online courses can be further enhanced to meet more diversified learning needs.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11442471 | PMC |
| http://dx.doi.org/10.1038/s41598-024-73491-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Environmental impact analysis of the synergistic recycling process of waste three-way catalysts and waste LiCoO batteries.
Waste Manag Res
September 2025
School of Environmental Science and Engineering, Tongji University, Shanghai, PR China.
Waste three-way catalysts (TWCs) and waste LiCoO batteries represent critical environmental challenges due to hazardous components yet contain high-value resources, and their recycling has garnered widespread attention. We propose a novel 'waste-to-waste' synergistic recycling where spent LiCoO batteries reconstruct mineral phases of waste TWCs, enabling co-recovery of platinum group metals and Li/Co without traditional oxidants. However, the environmental performance of this process still requires further analysis.
View Article and Find Full Text PDFMolecular analysis of lung adenocarcinomas from the SAFIR02-Lung cohort reveals new metastasis-associated copy-number alterations including frequent mutant-specific KRAS-allelic imbalance and identifies CDKN2A homozygous deletions as an independent biomarker of poor prognosis.
Br J Cancer
September 2025
Department of Genetics, Institut Curie, PSL Research University, Paris, France.
Background: Identifying molecular alterations specific to advanced lung adenocarcinomas could provide insights into tumour progression and dissemination mechanisms.
Method: We analysed tumour samples, either from locoregional lesions or distant metastases, from patients with advanced lung adenocarcinoma from the SAFIR02-Lung trial by targeted sequencing of 45 cancer genes and comparative genomic hybridisation array and compared them to early tumours samples from The Cancer Genome Atlas.
Results: Differences in copy-number alterations frequencies suggest the involvement in tumour progression of LAMB3, TNN/KIAA0040/TNR, KRAS, DAB2, MYC, EPHA3 and VIPR2, and in metastatic dissemination of AREG, ZNF503, PAX8, MMP13, JAM3, and MTURN.
Leveraging artificial intelligence for efficient microbial production.
Bioresour Technol
September 2025
School of Chemical, Materials and Biomedical Engineering, College of Engineering, the University of Georgia, College of Engineering, Athens, GA 30602, USA. Electronic address:
Microbial production is a sustainable and economical approach to producing value-added compounds by functional enzyme application, precise metabolism regulation, effective strain development, and optimal bioprocess control. However, practical microbial production faces multiple problems. Specifically, insufficient functional enzymes limit biosynthetic pathway construction, while inadequate metabolic regulatory tools and suboptimal bioprocess control constrain productivity.
View Article and Find Full Text PDFSpatiotemporal characteristics, drivers, sources, and health risks of nitrate and sulfate in groundwater on the Chinese Loess Plateau.
Water Res
September 2025
Key Laboratory of Groundwater Remediation of Hebei Province and China Geological Survey, Shijiazhuang, 050061, China; The Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geosciences, Shijiazhuang, 050061, China.
Groundwater nitrate (NO) and sulfate (SO) pollution in semi-arid regions has attracted widespread attention. However, unveiling the dynamics and sources of NO and SO in regional groundwater is challenging because of complex anthropogenic activities and hydrogeological conditions. This study combined physicochemistry and multiple stable isotopes (δH-HO, δO-HO, δN-NO, δO-NO, δS-SO, and δO-SO) to explore the spatiotemporal patterns, driving factors, sources, and potential health hazards of NO and SO in groundwater on the Loess Plateau, China.
View Article and Find Full Text PDFSearch for an Anomalous Production of Charged-Current ν_{e} Interactions without Visible Pions across Multiple Kinematic Observables in MicroBooNE.
Phys Rev Lett
August 2025
Brookhaven National Laboratory (BNL), Upton, New York 11973, USA.
This Letter presents an investigation of low-energy electron-neutrino interactions in the Fermilab Booster Neutrino Beam by the MicroBooNE experiment, motivated by the excess of electron-neutrino-like events observed by the MiniBooNE experiment. This is the first measurement to use data from all five years of operation of the MicroBooNE experiment, corresponding to an exposure of 1.11×10^{21} protons on target, a 70% increase on past results.
View Article and Find Full Text PDF