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Digitalization Of Learning Processes - Challenges And Opportunities

Author

Listed:
  • Constanta POPESCU

    (”Valahia” University of Targoviste, Romania)

  • Georgiana-Tatiana BONDAC

    (”Valahia” University of Targoviste, Romania)

Abstract

In the age of digitization of learning processes, significant challenges and opportunities arise. The radical changes brought about by digitization in teaching methods can be perceived both as stressors and as opportunities for transformation. Challenges may include adapting to new technologies, managing large volumes of information, or ensuring equitable access to resources for all students. On the other hand, digitization offers opportunities in terms of personalization of learning, online collaboration and access to diverse educational resources. It is essential to explore these challenges and opportunities to effectively use new technologies in the digital age of education. Therefore, the purpose of the article is to find an answer to the question "What are the challenges and opportunities faced by teachers and students in the digitization of the instructional-educational act"?

Suggested Citation

  • Constanta POPESCU & Georgiana-Tatiana BONDAC, 2024. "Digitalization Of Learning Processes - Challenges And Opportunities," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 9(2), pages 6-10.
    • Handle: RePEc:brc:brccej:v:9:y:2024:i:2:p:6-10
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    References listed on IDEAS

    as
    1. Rajendra Akerkar, 2019. "Artificial Intelligence for Business," SpringerBriefs in Business, Springer, number 978-3-319-97436-1, April.
    2. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Blake E. Ashforth, 2020. "Identity and Identification During and After the Pandemic: How Might COVID‐19 Change the Research Questions we Ask?," Journal of Management Studies, Wiley Blackwell, vol. 57(8), pages 1763-1766, December.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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