Abstract
This paper deals with the challenges faced by young engineering graduates for lifelong learning which has now become inevitable for them for keeping themselves relevant in professional life. Knowledge and skill requirements are changing very fast and it becomes almost impractical for them to do necessary research individually for identification of proper road map for their career path and accordingly go for lifelong self-learning. This research work proposes a concept of AI based Guided Lifelong Learning (GLLL) in a Cloud Computing Environment hosted by Universities for their respective alumni as an additional support system. This cloud-based support system will provide necessary information related to individual needs using various state of art computing techniques. The crisis faced by the pass outs are studied, service requirements have been identified, and accordingly the cloud service framework for the purpose has been designed.
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References
Washington Accord: 1989–2014. https://www.ieagreements.org/assets/Uploads/Documents/History/25YearsWashingtonAccord-A5booklet-FINAL.pdf
General Manual for Accreditation. https://www.nbaind.org/Uploads/General_Manual_V1.0.pdf
Manual for Accreditation of Undergraduate Engineering Programs (Tier I Institutions). https://www.nbaind.org/files/NBA_UGEngg_Tier_I_Manual.pdf
Manual for Accreditation of Undergraduate Engineering Programs (Tier II Institutions). https://www.nbaind.org/files/NBA_UGEngg_Tier_II_Manual.pdf
Mayer, R.E.: E-learning: new opportunities and a view of the future. In: London, M. (ed.) The Oxford Handbook of Lifelong Learning. Oxford University Press, Oxford (2011)
Lifelong Learning for All – Policy Directions. http://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DEELSA/ED/CERI/CD(2000)12/PART1/REV2&docLanguage=En
Ray, S., Chaki, N., Dasgupta, R.: Design of an adaptive web-based courseware. In: Proceedings of IASTED International Conference on Intelligent Systems & Control (ISC 2004), Honolulu, Hawaii, USA (2004)
Halder, K., Chaki, N., Dasgupta, R.: Analysis and design of learner quanta graph properties for efficient query processing in an adaptive dynamic courseware. In: The IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE, 2013) Indonesia, IEEE explore (2013)
Brief No. 1 – Global Impact of war in Ukraine on food, energy and finance systems, United Nations, 13 April 2022
Dinevski, D., et al.: ICT and Lifelong Learning. https://www.eurodl.org/materials/contrib/2004/Dinevski.html
Valamis – “Lifelong Learning”. https://www.valamis.com/hub/lifelong-learning
“The future is ours to learn” – Independent Commission for Lifelong Learning, Final Report, November 2019
Lifelong Learning for All Policy Direction Chapter 1, OECD 2001 (2001)
Song, L., et al.: Clustering based online learning in recommender systems: a bandit approach. In: 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) (2014)
Bagha, A., Madisetti, V.K.: Cloud-based information technology framework for data driven intelligent transport systems. J. Transp. Technol. 131–141 (2013)
Berzina, K., et al.: Promoting of lifelong learning in engineering. In: 60th International Conference on Power and electrical Engineering in Riga Technical University (RTUCON) (2019)
Sun, J., et al.: Research on the construction and innovation of lifelong education system under the background of big data. In: 2020 International Conference on Big data and Informatization Education (ICBDIE) (2020)
Brice, J., et al.: The Era of Lifelong Learning: Implications for Secondary Schools (2000). https://research.acer.edu.au/lifelong_learning/1
White Paper on “A Global Standard for Lifelong Learning and Worker Engagement to Support Advanced Manufacturing”. World Economic Forum, October 2019
Bagha, A., Madisetti, V.: Cloud Computing – A Hands-on Approach. Universities Press (2014)
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Dasgupta, R. (2023). A Cloud Computing Service Framework for Guided Life Long Learning. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds) Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-031-26876-2_30
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