Results 21 to 30 of about 31,003,301 (345)

The Relationship of Lifelong Learning Competencies with Learning Approaches and Self-Efficacy

open access: yesSakarya University Journal of Education, 2022
The study aims to investigate the relationship between the lifelong learning competencies of the students studying in the faculty of education and learning approaches as well as self-efficacy. Lifelong Learning Competence Scale, Learning Approaches Scale,
Fatma Çetin, Zeynep Demirtaş
doaj   +1 more source

Network intrusion detection system: A systematic study of machine learning and deep learning approaches

open access: yesTransactions on Emerging Telecommunications Technologies, 2020
The rapid advances in the internet and communication fields have resulted in a huge increase in the network size and the corresponding data. As a result, many novel attacks are being generated and have posed challenges for network security to accurately ...
Zeeshan Ahmad   +4 more
semanticscholar   +1 more source

Prediction of Breast Cancer using Machine Learning Approaches

open access: yesJournal of Biomedical Physics and Engineering, 2022
Background: Breast cancer is considered one of the most common cancers in women caused by various clinical, lifestyle, social, and economic factors. Machine learning has the potential to predict breast cancer based on features hidden in data.
R. Rabiei   +4 more
semanticscholar   +1 more source

Undergraduate-level teaching and learning approaches for interprofessional education in the health professions: a systematic review

open access: yesBMC Medical Education, 2022
Background Although most systematic reviews of interprofessional education (IPE) evaluated the impact of IPE on the students’ acquisition of knowledge in relation to other professions, the development of teamwork skills, and the changes in collaborative ...
M. Aldriwesh, S. Alyousif, N. Alharbi
semanticscholar   +1 more source

Approaches to machine learning [PDF]

open access: yesJournal of the American Society for Information Science, 1984
AbstractThe field of machine learning strives to develop methods and techniques to automate the acquisition of new information, new skills, and new ways of organizing existing information. This article reviews the major approaches to machine learning in symbolic domains, illustrated with occasional paradigmatic examples.
Pat Langley, Jaime G. Carbonell
openaire   +1 more source

Discovering the Learning Gradient of Students’ Preferences for Learning Environment

open access: yesJournal of Intelligence, 2023
The aim of this study was to examine the effects of online learning self-regulation on learning outcomes during the COVID-19 pandemic lockdown among university college students.
Carsten Kronborg Bak   +2 more
doaj   +1 more source

Applications of Stacking/Blending ensemble learning approaches for evaluating flash flood susceptibility

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2022
Flash floods are a type of catastrophic disasters which cause significant losses of life and property worldwide. In recent years, machine learning techniques have become powerful tools for evaluating flash flood susceptibility.
Jing Yao   +4 more
semanticscholar   +1 more source

Generative and reinforcement learning approaches for the automated de novo design of bioactive compounds

open access: yesCommunications Chemistry, 2022
Deep generative neural networks have been used increasingly in computational chemistry for de novo design of molecules with desired properties. Many deep learning approaches employ reinforcement learning for optimizing the target properties of the ...
M. Korshunova   +9 more
semanticscholar   +1 more source

Study of medical students' learning approaches and their association with academic performance and problem-solving styles

open access: yesJournal of Education and Health Promotion, 2022
BACKGROUND: Learners have various processing and understanding of the environment and issues and choose different strategies for problem-solving considering learning and studying approaches.
Ghobad Ramezani   +6 more
doaj   +1 more source

Learning approaches: Associations with Typical Intellectual Engagement, intelligence and the Big Five [PDF]

open access: yes, 2012
Learning approaches, i.e. students’ learning strategies and motives, predict academic performance but it is not clear how much variance they share with intelligence and personality.
Furnham, Adrian F.   +4 more
core   +1 more source

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