The regression models for lifelong learning competencies for teacher trainers

Thwe, Win Phyu; Kálmán, Anikó

doi:10.1016/j.heliyon.2023.e13749

Cited by 7 publications

(6 citation statements)

References 33 publications

(49 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Lifelong learning has become one of the most interesting and important areas of research. From school to professional learning and development every one need to have the 21stcentury skills to cope with the changing nature of the world of work by engaging in lifelong learning (Thwe and K alm an, 2023). It is great to see that efforts are being made to better understand the concept of lifelong learning and to develop a tool that helps to measure it among academics.…”

Section: Discussionmentioning

confidence: 99%

Lifelong learning measurement scale (LLMS): development and validation in the context of higher education institutions

Assefa

Moges

Tilwani

2023

JARHE

View full text Add to dashboard Cite

PurposeLifelong learning has become one of the most interesting areas of research. Hence, the current study was aimed at developing and validating a tool that helps to study how well people working in higher education institutions are engaged in lifelong learning.Design/methodology/approachA review of theories in the literature and experts' consultation were used to develop a pool of items and validate the self-assessment instrument for measuring lifelong learning. The study employed factor analytic methodologies such as principal component analysis, varimax rotation and exploratory factor analyses.FindingsThe study yielded a reliable and valid lifelong learning measurement scale made up of 18 items and four underlying factors that are theoretically supported.Originality/valueThe significant information is that, the current study aimed at developing a tool that could help to measure the engagement in lifelong learning of higher education institutions workers. The study found this tool to be important because lifelong learning is considered essential for personal and professional growth, and having a sound way to measure it can help individuals and organizations identify areas for improvement.

show abstract

Section: Discussionmentioning

confidence: 99%

Lifelong learning measurement scale (LLMS): development and validation in the context of higher education institutions

Assefa

Moges

Tilwani

2023

JARHE

View full text Add to dashboard Cite

show abstract

“…Lifelong learning allows for the refinement and improvement of breast cancer detection models over time [72,73]. These models can start with a solid foundation, perhaps based on a large initial dataset, and then be fine-tuned and updated as new patient data becomes available.…”

Section: Lifelong Learning For Breast Cancer Detectionmentioning

confidence: 99%

Deep Learning Theories and Methods for Breast Cancer Classification

Wang

2023

Preprint

View full text Add to dashboard Cite

Breast cancer is a common malignant tumour and studies have shown that early and accurate detection is crucial for patients. With the maturity of medical imaging and deep learning development, significant progress has been made in breast cancer classification, which greatly improves the accuracy and efficiency of classification. This review focuses on deep learning, migration learning, GAN, and lifelong learning to elaborate and summarise the important roles arising from breast cancer detection. This review also examines the dataset and labeling issues required for breast cancer classification. In conclusion, at the end of the article, we look at future directions for breast cancer classification research, including cross-migration learning, multimodal data fusion, model interpretability, and lifelong learning, and also explore how to provide personalized treatment plans for patients.

show abstract

“…У дослідженні [12] розглядається ще один аспект розвитку компетенцій дослідника даних -це навчання впродовж життя. Автори наголошують, що для того, щоб відповідати викликам і новим нормам ХХІ сторіччя, навчання впродовж життя -від шкільної освіти до професійного розвитку -має стати навичкою кожного професіонала.…”

Section: Creation Of a Cloud Environment For Studying Data Science Ma...unclassified

Creation of a cloud environment for studying Data Science mathematical tools

Chub,

Novozhylova

2023

ISP

View full text Add to dashboard Cite

Новожилова Марина Володимирівна, докторка фізико-математичних наук, професорка, завідувачка кафедри комп'ютерних наук та інформаційних технологій, Харківський національний університет міського господарства імені О. М. Бекетова, Україна

show abstract

The regression models for lifelong learning competencies for teacher trainers

Cited by 7 publications

References 33 publications

Lifelong learning measurement scale (LLMS): development and validation in the context of higher education institutions

Lifelong learning measurement scale (LLMS): development and validation in the context of higher education institutions

Deep Learning Theories and Methods for Breast Cancer Classification

Creation of a cloud environment for studying Data Science mathematical tools

Contact Info

Product

Resources

About