Teaching Digitally-Ready Soft Skills for Employability
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Keywords

skills development
soft skills
digital collaboration
higher education
employability

How to Cite

Shtaltovna, Y., & Muzzu, C. (2021). Teaching Digitally-Ready Soft Skills for Employability: A review of the COVID-semester online-teaching strategies. GILE Journal of Skills Development, 1(2), 58–67. https://doi.org/10.52398/gjsd.2021.v1.i2.pp58-67

Abstract

The coronavirus pandemic triggered an abrupt change to emergency e-teaching and has accelerated the adoption of digital teaching practices in higher education. This transition from in-person instruction to online-only teaching took place globally and disrupted the conventional lecture format. While the catalyst, namely COVID, was the same throughout the world, a growing body of research confirms that instructors across the educational spectrum are experimenting with, and implementing, a plethora of methodologies based on their digital abilities and experiences.

This paper will critically analyse several online-based methodologies and digital tools developed and introduced at the University of Europe for Applied Sciences within an undergraduate module called Employability.  The authors will use the six areas of the European Commission’s DigCompEdu framework as a reference to analyse and summarise digital tool implementations and enhance students' digital collaboration skills, online experience, and learning outcomes.

The methodological focus is on teaching soft digital skills for employability, namely, digital communication, problem-solving, collaboration skills, as well as, digital content creation and media literacy in tandem with the main content of the course. Possible issues when teaching the Employability module in post-COVID offline or hybrid classrooms will be discussed, particularly with regards to ensuring that teaching formats are fit-for-purpose in increasingly digital, and remote, work environments.

https://doi.org/10.52398/gjsd.2021.v1.i2.pp58-67
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2021 Yuliya Shtaltovna, Christina Muzzu

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