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The User Perspective on Innovation in eLearning: A Single-Case Study from IBM

  • Conference paper
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Systems, Software and Services Process Improvement (EuroSPI 2022)

Abstract

Innovation in eLearning has been discussed in academic research for more than 30 years. Current research around eLearning even questions if former product adoption models are still valid, and new alternative formats are tested. In times of subscriptions and anonymous selling via the internet the question on how users in organisations perceive innovation in eLearning and product adoption is addressed in this research.

This single-case approach in the cloud and AI industry presented here investigates what users expect from their Human Resources department around eLearning.

The findings provide insights into how users see current trends in short and immediate eLearning. The findings not only underline recent research of the existing lifecycle model by integrating eLearning into the product, but also provide insights on what is expected from AI in an eLearning context. The need to link corporate eLearning with academic micro-credits support the life-long learning concept at IBM.

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Correspondence to Alexander Ziegler .

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Appendix: Survey Questions

Appendix: Survey Questions

Introduction.

This survey takes maximum 5 min. It collects feedback from active Learners like you to improve eLearning for the IBMers tomorrow. The survey is fully anonymous, and you will be able to read the research report later this year. Thanks for your participation.

Survey Questions

  1. 1.

    There are lots of discussions that eLearning in the future should be ‘short’. Thinking of your own preference: What would be your preferred length for a single eLearning in the future?

    • Less than 15 min (the usual YouTube video)

    • 15 min

    • 30 min

    • 1 h

    • 2 h

    • 4 h

    • 1 day

  2. 2.

    When would you prefer to get trained?

    • immediate, when following a process or using a product (immediate and ubiquitous availability of learning)

    • upfront of being exposed to new processes/products as part of my career development

    • scheduled webinar (at a scheduled point of time, with live speakers)

    • other (please comment)

    • Tutorial (supervised) or video only

  3. 3.

    Do you think AI should be used to support your career development/training plan? (AI means for example recommendations what to learn, recommendations what other did etc.)

    • yes

    • no

    • if yes please comment what do you expect from AI

  4. 4.

    Based on your own experience: Do you think it would help to expose children/students/young adults to IT technologies/Processes that they potentially will use later in their jobs?

    • yes - I think early exposure to IT concepts/IT tools influenced me

    • no - I think early learning in my life did not influence me around IT usage/IT concepts today

    • I’m not sure

    • other (please comment)

  5. 5.

    Do you think all training should be customized to match your experiences or personality type?

    • yes, I already attended training that matched my experience/personality and it was more effective than standard training

    • yes - I would like a feature that matched training to my experience

    • no, I attended training that matched my experience level/personality and I did not see a real difference in learning outcomes

    • no - haven’t experienced personalized learning, but do not think I would like it/it would help

    • I do not know

    • other ideas around customization (please comment):

  6. 6.

    Would you like to get academic credits for your learning? (This means credits that count towards formal academic education programs like a bachelor or master)

    • Yes

    • no

    • I do not know

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Ziegler, A., Peisl, T., Harte, P. (2022). The User Perspective on Innovation in eLearning: A Single-Case Study from IBM. In: Yilmaz, M., Clarke, P., Messnarz, R., Wöran, B. (eds) Systems, Software and Services Process Improvement. EuroSPI 2022. Communications in Computer and Information Science, vol 1646. Springer, Cham. https://doi.org/10.1007/978-3-031-15559-8_52

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  • DOI: https://doi.org/10.1007/978-3-031-15559-8_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15558-1

  • Online ISBN: 978-3-031-15559-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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