TY - GEN
T1 - Towards a 21st century personalised learning skills taxonomy
AU - Ward, Rupert
AU - Phillips, Oliver
AU - Bowers, David
AU - Crick, Tom
AU - Davenport, James
AU - hannah, Paul
AU - Hayes, Alan
AU - Irons, Alastair
AU - Prickett, Tom
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/20
Y1 - 2021/4/20
N2 - There exists a significant gap between the requirements specified within higher education qualifications and the requirements sought by employers. The former, commonly expressed in terms of learning outcomes, provide a measure of capability, of what skills have been learnt (an input measure); the latter, commonly expressed in terms of role descriptions, provide a measure of competency, of what a learner has become skilful in (an output measure). Accreditation traditionally provides a way of translating and embedding industry-relevant content into education programmes but current approaches make fully addressing this requirements gap, referred to here as the Capability-Competency Chasm, very difficult. This paper explores current efforts to address this global challenge, primarily through STEM examples that apply within the United Kingdom and European Union, before proposing a way of bridging this chasm through the use of a 21st Century (C21) skills taxonomy. The concept of C21 Skills Hours as a new input measurement for learning within qualifications is introduced, and an illustrative example is presented to show the C21 skills taxonomy in action. The paper concludes with a discussion of how such a taxonomy can also be used to support a microcredentialing framework that aligns to existing competency frameworks, enabling formal, non-formal and informal learning to all be recognized. A C21 Skills taxonomy can therefore be used to bridge the gap between capability (input) and competency (output), providing a common language both for learning and demonstrating a skill. This approach has profound implications for addressing current and future skills gaps as well as for supporting a transition to more personalised learning within schools, colleges and universities and more lifelong learning both during and outside of employment.
AB - There exists a significant gap between the requirements specified within higher education qualifications and the requirements sought by employers. The former, commonly expressed in terms of learning outcomes, provide a measure of capability, of what skills have been learnt (an input measure); the latter, commonly expressed in terms of role descriptions, provide a measure of competency, of what a learner has become skilful in (an output measure). Accreditation traditionally provides a way of translating and embedding industry-relevant content into education programmes but current approaches make fully addressing this requirements gap, referred to here as the Capability-Competency Chasm, very difficult. This paper explores current efforts to address this global challenge, primarily through STEM examples that apply within the United Kingdom and European Union, before proposing a way of bridging this chasm through the use of a 21st Century (C21) skills taxonomy. The concept of C21 Skills Hours as a new input measurement for learning within qualifications is introduced, and an illustrative example is presented to show the C21 skills taxonomy in action. The paper concludes with a discussion of how such a taxonomy can also be used to support a microcredentialing framework that aligns to existing competency frameworks, enabling formal, non-formal and informal learning to all be recognized. A C21 Skills taxonomy can therefore be used to bridge the gap between capability (input) and competency (output), providing a common language both for learning and demonstrating a skill. This approach has profound implications for addressing current and future skills gaps as well as for supporting a transition to more personalised learning within schools, colleges and universities and more lifelong learning both during and outside of employment.
KW - Accreditation
KW - Framework
KW - Microcredential
KW - Personalised Learning
KW - Skills Taxonomy
UR - http://www.scopus.com/inward/record.url?scp=85112449507&partnerID=8YFLogxK
U2 - 10.1109/EDUCON46332.2021.9453883
DO - 10.1109/EDUCON46332.2021.9453883
M3 - Chapter in a published conference proceeding
T3 - IEEE Global Engineering Education Conference, EDUCON
SP - 344
EP - 354
BT - Proceedings of the 2021 IEEE Global Engineering Education Conference, EDUCON 2021
A2 - Klinger, Thomas
A2 - Kollmitzer, Christian
A2 - Pester, Andreas
ER -