Search Result "work-integrated learning"


Authenticity and Learning in a Workplace-Based Educational Programme

Ebook: Inside the New University: Prerequisites for a Contemporary Knowledge Production
Volume: 1 Year: 2013
Author(s): Hans Rystedt,Jan Gustafsson
Doi: 10.2174/9781608057269113010008

WORKING HARD TO INTEGRATE: THE ROLE OF GENDER IN INTEGRATION DISCOURSE

Ebook: Normalization And “Outsiderhood”
Volume: 3 Year: 2011
Author(s): Ulrika Schmauch
Doi: 10.2174/978160805279011103010049

Research Article

Sustainable Teaching and Learning E-learning Model towards RedesigningTransformative Learning Model for Knowledge Sharing & InfrastructureEnhancements Post COVID-19

Journal: Recent Patents on Engineering
Volume: 18 Issue: 0 Year: 2024 Page: 1-12
Author(s):

Active Learning-based Mobile Learning System for Students of Asia Pacific University

Ebook: Emerging Technologies for Digital Infrastructure Development
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815080957123010016

Opportunities and Challenges Associated with Online/Blended Teaching-Learning

Ebook: Digital Transformation in Education: Emerging Markets and Opportunities
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124750123010010

HCI Learning From Cognitive Web

Ebook: Big Data Analytics for Human-Computer Interactions: A New Era of Computation
Volume: 3 Year: 2023
Author(s):
Doi: 10.2174/9789815079937123030004

Blended Learning

Ebook: Fundamentals of Educational Technology
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815039832122010006

Role of Machine Learning and Deep Learning Techniques in Detection of Disease Severity: A Survey

Ebook: Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179125124010008

Introduction To Machine Learning

Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010004

Intelligent Personalized E-Learning Platform using Machine Learning Algorithms

Ebook: Machine Learning Methods for Engineering Application Development
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9879815079180122010011

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