Digital Transformation of Education Toward Successful Internships: A Methodology Developed Over Seven Years and Tested During COVID-19
IEEE Transactions on Education
; 66(3):244-253, 2023.
Article
Dans Anglais
| ProQuest Central | ID: covidwho-20241825
ABSTRACT
Contribution This article provides a teaching methodology which combines project-based learning, self-regulated learning (SRL), and design projects (DPs) to improve the preparedness of students for computing science-related internships. The methodology is supported by the implementation of the educational technology that transforms the way teaching and learning is transformed to benefit on-campus and off-campus students equitably, during the COVID-19 pandemic. Background:
Success in the workspace is governed by the ability of an individual to learn on-the-job and independently. Online learning has led to a shift from instructor-led learning to SRL. This requires individuals to discipline themselves, and be in control of their learning and education.Outcome:
The success of internships is improved with skills learnt in class through hands-on real-world projects. Both on/off-campus students gain equitable relevant experience. The teaching methodology developed over several years combines project-based learning, SRL, and DPs. ApplicationDesign:
The methodology was applied using a flipped classroom approach. The educational technology was used to enhance SRL before in-class learning. This way, in-class rote learning was replaced with hands-on projects. Exam assessments were replaced with DPs where soft skills and technical skills are applied.Findings:
The effectiveness of the developed methodology is measured through quantitative and qualitative evaluation tools. The evaluation demonstrates that combining well-designed education technology for SRL, with in-class project-based learning and DPs, can improve students' chances in getting high-impact internships.
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
ProQuest Central
Type d'étude:
Études expérimentales
/
Étude pronostique
/
Recherche qualitative
langue:
Anglais
Revue:
IEEE Transactions on Education
Année:
2023
Type de document:
Article
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