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2022 Donald Taylor Global Sentiment Survey Research Report

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The idea that wouldn't die ... or truly live While most of the options on the survey follow the same pattern of initially increased interest followed by a steady decline in ensuing years, three options have bucked that trend: Showing value, Performance support, and Consulting more deeply with the business. These three options can always be found firmly in the middle of the table. Since 2019, the range between their highest and lowest vote has been no more than 1.1%. In comparison, in its characteristic rise-and-fall arc, Learning analytics has a range of 3.1% between its highest value of 10.4% in 2020 and lowest of 7.3% this year. Why are these three options so very different from the others? While the other options might have once been considered exciting new topics, arguably none of these has. There is none of the heady buzz about Artificial intelligence or Virtual and augmented reality in Showing value or consulting, or in providing Performance support. Given how unexciting these options are, the question should prob- ably be not 'Why do they remain in the middle of the table?', but rather 'Why are these things here at all?' After all, if they are not exciting, why would anyone vote for them? The answer seems to be that, while having no novelty or technological appeal, they are recognised by a small, but consistent, proportion of voters as important. This is confirmed by the response to the optional free text question 'What is your greatest L&D challenge in 2022?' 13% of the answers to this could be categorised as 'Stakeholder enthu- siasm', including generating convincing arguments for learning by using data and proof of value. For a full discussion of their answers, see pages 16-17. GSS 2019 GSS 2020 GSS 2021 GSS 2022 1. Personalization/adaptive delivery 10.6% 1. Learning analytics 10.4% 1. Reskilling/upskilling 13.0% 1. Reskilling/upskilling 12.5% 2. Artificial intelligence 9.7% 2. Personalization/adaptive delivery 9.8% 2. Collaborative/social learning 9.4% 2. Collaborative/social learning 9.6% 3. Learning analytics 9.6% 3. Collaborative/social learning 8.3% 3. Learning analytics 8.8% 3. Personalization/adaptive delivery 8.1% 4. Collaborative/social learning 8.7% 4. Learning experience platforms 7.8% 4. Personalization/adaptive delivery 8.7% 4. Coaching/mentoring 7.6% 5. Micro learning 8.2% 5. Artificial intelligence 7.7% 5. Learning experience platforms 7.4% 5. Learning analytics 7.3% 6. Learning experience platforms 7.7% 6. Micro learning 7.3% 6. Coaching/mentoring 7.0% 6. Skills-based talent management 7.2% 7. Virtual and augmented reality 7.3% 7. Consulting more deeply with the business 7.0% 7. Micro learning 6.9% 7. Micro learning 6.9% 8. Mobile delivery 6.1% 8. Coaching/mentoring 7.0% 8. Showing value 6.1% 8. Learning experience platforms 6.7% 9. Consulting more deeply with the business 5.9% 9. Showing value 6.2% 9. Consulting more deeply with the business 6.0% 9. Consulting more deeply with the business 6.1% 10. Showing value 5.3% 10. Virtual and augmented reality 5.7% 10. Performance support 5.5% 10. Showing value 5.5% 11. Performance support 4.4% 11. Performance support 5.5% 11. Mobile delivery 4.7% 11. Performance support 4.9% 12. Neuroscience/cognitive science 4.2% 12. Mobile delivery 4.7% 12. Artificial intelligence 4.3% 12. Artificial intelligence 4.7% 13. Video 3.8% 13. Neuroscience/cognitive science 4.4% 13. Virtual and augmented reality 4.3% 13. Virtual and augmented reality 4.7% 14. Curation 3.7% 14. Curation 3.4% 14. Curation 3.2% 14. Mobile delivery 4.0% 15. Developing the L&D function 3.4% 15. Video 3.4% 15. Neuroscience/cognitive science 2.6% 15. Curation 2.7% 16. Other 1.6% 16. Other 1.6% 16. Other 2.0% 16. Other 1.4% n = 1,955 n = 2,278 n = 3,114 n = 3,518 The enigma of value

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