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Will a Skills Passport ever get me through the lifelong learning border?: Two critical challenges facing personalised user models for lifelong learning

Published: 22 June 2024 Publication History

Abstract

Lifelong personalised learning is often described as the holy grail of the educational data sciences, but work on the topic is sporadic and we are yet to achieve this goal in a meaningful form. In the wake of the skills shortages arising from national responses to COVID-19 this problem has again become a topic of interest. A number of proposals have emerged that some sort of a skills passport would help individuals, educational institutions, and employers to identify training and recruitment needs according to identified skills gaps. And yet, we are a long way from achieving a skills passport that could support lifelong learning despite more than 25 years of work on the topic. This paper draws attention to two of the critical socio-technical challenges facing skills passports, and lifelong learner models in general. This leads to a proposal for how we might move towards a useful skills passport that can cross the “skills sector border”.

References

[1]
1997. Preliminary advice on a skills passport system. Technical Report. KPMG Consulting and Australian National Training Authority (ANTA). http://hdl.voced.edu.au/10707/236863.
[2]
2015. Australia’s future workforce?Technical Report. Committee for Economic Development of Australia (CEDA). Available at: http://www.ceda.com.au/research-and-policy/policy-priorities/workforce.
[3]
2016. The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution. Technical Report. World Economic Forum (WEF), Geneva, Switzerland. Available at: http://reports.weforum.org/future-of-jobs-2016/.
[4]
2022. The role of contextual information when connecting data to the ESCO Occupations Pillar using Artificial Intelligence. Technical Report. European Commission. https://esco.ec.europa.eu/en/about-esco/data-science-and-esco/role-contextual-information-when-connecting-data-esco-occupations-pillar-using-artificial
[5]
AlphaBeta. 2019. FUTURE SKILLS. Technical Report. https://alphabeta.com/wp-content/uploads/2019/01/google-skills-report.pdf
[6]
LM Aroyo, G-J Dolog, M Kravcik, A Naeve, M Nilsson, F Wild, 2006. Interoperability in personalized adaptive learning. Educational Technology & Society 9, 2 (2006), 4–18.
[7]
David N Aspin and Judith D Chapman. 2000. Lifelong learning: concepts and conceptions. International Journal of lifelong education 19, 1 (2000), 2–19.
[8]
Ryan S Baker 2019. Challenges for the future of educational data mining: The Baker learning analytics prizes. Journal of Educational Data Mining 11, 1 (2019), 1–17.
[9]
Carmel Borg and Peter Mayo. 2005. The EU Memorandum on lifelong learning. Old wine in new bottles?Globalisation, societies and education 3, 2 (2005), 203–225.
[10]
Simon Buckingham Shum, Allison Littlejohn, Kirsty Kitto, and Ruth Crick. 2022. Framing professional learning analytics as reframing oneself. IEEE Transactions on Learning Technologies 15, 5 (2022), 634–649.
[11]
Francesca Carmagnola and Vania Dimitrova. 2008. An evidence-based approach to handle semantic heterogeneity in interoperable distributed user models. In Adaptive Hypermedia and Adaptive Web-Based Systems: 5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008. Proceedings 5. Springer, 73–82.
[12]
Jeremy J Carroll, Christian Bizer, Pat Hayes, and Patrick Stickler. 2005. Named graphs. Journal of Web Semantics 3, 4 (2005), 247–267.
[13]
Orsetta Causa, Michael Abendschein, Nhung Luu, Emilia Soldani, and Chiara Soriolo. 2022. The post-COVID-19 rise in labour shortages. 1721 (2022). https://doi.org/https://doi.org/10.1787/e60c2d1c-en
[14]
Yves-Alexandre de Montjoye, Erez Shmueli, Samuel S. Wang, and Alex Sandy Pentland. 2014. OpenPDS: Protecting the Privacy of Metadata through SafeAnswers. PLoS ONE 9, 7 (07 2014), e98790. https://doi.org/10.1371%2Fjournal.pone.0098790
[15]
Michel Desmarais and Ryan Baker. 2012. A review of recent advances in learner and skill modeling in intelligent learning environments. User Modeling and User-Adapted Interaction 22, 1-2 (2012), 9–38.
[16]
Jens Dörpinghaus, Johanna Binnewitt, Stefan Winnige, Kristine Hein, and Kai Krüger. 2023. Towards a German labor market ontology: Challenges and applications. Applied Ontology 18 (2023), 343–365.
[17]
Michael Feldstein. 2017. What Is the Next Generation?EDUCAUSE ReviewJuly/August (2017), 38–44. Available at: https://er.educause.edu/articles/2017/7/what-is-the-next-generation.
[18]
John Field. 2011. Lifelong learning. Adult learning and education (2011), 20–28.
[19]
Elizabeth FitzGerald, Natalia Kucirkova, Ann Jones, Simon Cross, Rebecca Ferguson, Christothea Herodotou, Garron Hillaire, and Eileen Scanlon. 2018. Dimensions of personalisation in technology-enhanced learning: A framework and implications for design. British Journal of Educational Technology 49, 1 (2018), 165–181.
[20]
Craig Fowler. 2023. Skills Passport – Game Changer or New e-Cover on Old Book?https://futurecampus.com.au/2023/11/15/skills-passport-game-changer-or-new-e-cover-on-old-book/
[21]
Norm Friesen and Terry Anderson. 2004. Interaction for lifelong learning. British Journal of Educational Technology 35, 6 (2004), 679–687.
[22]
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, and Mario Mezzanzanica. 2022. WETA: Automatic taxonomy alignment via word embeddings. Computers in Industry 138 (2022), 103626. https://doi.org/10.1016/j.compind.2022.103626
[23]
Peter Goodyear. 2000. Environments for lifelong learning. In Integrated and holistic perspectives on learning, instruction and technology, J Michael Spector and Theresa M Anderson (Eds.). Springer, 1–18.
[24]
Dai Griffiths, Tore Hoel, and Adam Cooper. 2016. D7.4 Learning Analytics Interoperability. Technical Report. LACE. Available at: http://www.laceproject.eu/deliverables/d7-4-learning-analytics-interoperability-requirements-specifications-and-adoption/.
[25]
Sathvik Guru Rao. 2022. Ontology matching using domain-specific knowledge and semantic similarity. Master’s thesis. University of Twente. http://essay.utwente.nl/90521/1/Guru_Rao_MSc_EEMCS.pdf
[26]
John C Ittelson. 2001. Building an E-dentity for Each Student. Educause Quarterly 24, 4 (2001), 43–45.
[27]
Jelena Jovanovic, Dragan Gašević, Christopher Brooks, Vladan Devedzic, Marek Hatala, Timmy Eap, and Griff Richards. 2007. Using semantic web technologies to analyze learning content. IEEE Internet Computing 11, 5 (2007).
[28]
Judy Kay. 2008. Lifelong learner modeling for lifelong personalized pervasive learning. IEEE Transactions on Learning Technologies 1, 4 (2008), 215–228.
[29]
Judy Kay, Kathryn Bartimote, Kirsty Kitto, Bob Kummerfeld, Danny Liu, and Peter Reimann. 2022. Enhancing learning by Open Learner Model (OLM) driven data design. Computers and Education: Artificial Intelligence 3 (2022), 100069.
[30]
Judy Kay and Bob Kummerfeld. 2019. From data to personal user models for life-long, life-wide learners. British Journal of Educational Technology 50, 6 (2019), 2871–2884.
[31]
Soojin Kim, Zheng Wei Chen, Jian Qi Tan, and Assel Mussagulova. 2021. A case study of the Singapore SkillsFuture Credit scheme: preliminary insights for making lifelong learning policy more effective. Asian Journal of Political Science 29, 2 (2021), 192–214.
[32]
Shelley Kinash and Madelaine-Marie Judd. 2018. What’s hot & what’s not in the strategic plans of Australia’s universities. In 41st Annual Higher Education Research and Development Society of Australasia Conference (HERDSA 2018): Book of Abstracts. Higher Education Research and Development Society of Australasia (HERDSA), 308. https://core.ac.uk/download/pdf/211504467.pdf
[33]
Kirsty Kitto, Sebastian Cross, Zak Waters, and Mandy Lupton. 2015. Learning analytics beyond the LMS: the connected learning analytics toolkit. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge. ACM, 11–15.
[34]
Kirsty Kitto, M Lupton, Peter Bruza, D Mallett, J Banks, S Dawson, D Gasevic, S Buckingham Shum, Abelardo Pardo, and George Siemens. 2020. Learning Analytics beyond the LMS: Enabling Connected Learning via Open Source Analytics in" the wild". Technical Report. Office for Learning and Teaching. https://ltr.edu.au/vufind/Record/365945
[35]
Kirsty Kitto, Nikhil Sarathy, Aleksandr Gromov, Ming Liu, Katarzyna Musial, and Simon Buckingham Shum. 2020. Towards skills-based curriculum analytics: can we automate the recognition of prior learning?. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (Frankfurt, Germany) (LAK ’20). Association for Computing Machinery, New York, NY, USA, 171–180. https://doi.org/10.1145/3375462.3375526
[36]
Kirsty Kitto, John Whitmer, Aaron E. Silvers, and Michael Webb. 2000. Creating Data for Learning Analytics Ecosystems. Technical Report. Society for Learning Analytics Research (SoLAR). https://www.solaresearch.org/wp-content/uploads/2020/09/SoLAR_Position-Paper_2020_09.pdf
[37]
Til Alexander Leopold, Vesselina Ratcheva, and Sadia Zahidi. 2018. The future of jobs report 2018. Technical Report. World Economic Forum. https://www.weforum.org/publications/the-future-of-jobs-report-2018/
[38]
Susan Lund, Anu Madgavkar, James Manyika, Sven Smit, Kweilin Ellingrud, Mary Meaney, and Olivia Robinson. 2021. The future of work after COVID-19. Technical Report. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-after-covid-19
[39]
IC Ng, Roger Maull, Glenn Parry, Jon Crowcroft, Kimberley Scharf, Tom Rodden, and Chris Speed. 2013. Making Value Creating Context Visible for New Economic and Business Models: Home Hub-of-all-Things (HAT) as Platform for Multisided Market powered by Internet-of-Things. In Hawaii International Conference on Systems Science (HICSS), Hawaii, USA.
[40]
Oleksandra Poquet, Kirsty Kitto, Jelena Jovanovic, Shane Dawson, George Siemens, and Lina Markauskaite. 2021. Transitions through lifelong learning: Implications for learning analytics. Computers and Education: Artificial Intelligence 2 (2021), 100039.
[41]
Stefano Scarpetta, Glenda Quintini, Katharine Mullock, and Marcolin. 2020. Skill measures to mobilise the workforce during the COVID-19 crisis. Technical Report. OECD Policy Responses to Coronavirus (COVID-19). https://www.oecd.org/coronavirus/policy-responses/skill-measures-to-mobilise-the-workforce-during-the-covid-19-crisis-afd33a65/
[42]
Gitta Siekmann and Craig Fowler. 2017. Identifying Work Skills: International Approaches. Discussion Paper.National Centre for Vocational Education Research (NCVER) (2017). https://www.aph.gov.au/DocumentStore.ashx?id=0ab0aa9b-3823-4827-95fa-c7b95cba963f
[43]
Darryn Snell, Victor Gekara, and Fiona Macdonald. 2019. The Disability Skills Portfolio Scoping Project Final Report. Technical Report. RMIT University. https://www.rmit.edu.au/content/dam/rmit/rmit-images/research/ecps/GBI/stirn/The-Disability-Skills-Portfolio-Scoping-Project-Report.pdf.
[44]
J. Stringer, S. DeMonner, and O. Heyer. 2017. The promise of Learning Data Interoperability. EDUCAUSE Review (2017). Available at: https://er.educause.edu/articles/2017/7/the-promise-of-learning-data-interoperability.
[45]
Malcom Tight. 1998. Lifelong learning: Opportunity or compulsion?British Journal of Educational Studies 46, 3 (1998), 251–263.
[46]
Benjamín Valdés Aguirre, Jorge A Ramírez Uresti, and Benedict du Boulay. 2016. An analysis of student model portability. International Journal of Artificial Intelligence in Education 26 (2016), 932–974.

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        cover image ACM Conferences
        UMAP '24: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
        June 2024
        338 pages
        ISBN:9798400704338
        DOI:10.1145/3627043
        This work is licensed under a Creative Commons Attribution International 4.0 License.

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        Published: 22 June 2024

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        1. contextualisation
        2. data portability
        3. lifelong learning
        4. personal user model
        5. skills

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