Ontological Paradox of Computer-Based Technologies Used in Education and Learning.

Authors

  • Anthony Ichuloi Kisii University, Kenya
  • Ogaro D Nyaoko

DOI:

https://doi.org/10.51317/.v1i1.336

Keywords:

Computer-based, ontology, intellectual development, resoluteness, detachment.

Abstract

This study sought to investigate the ontological paradox of computer-based technologies used in education and learning. The argument of this article is that today, the use of computer-based technologies to enhance learning and disseminate knowledge is indispensable; however, this leads to an onto-educational shift in the way we regard intellectual development of learners as a subjective factor in education and the employed learning technologies themselves; a natural human subjective element of learning and knowledge is considered to be ineffective, while technologically stored and transferred facts of knowledge are given higher regard. Computer-based technologies used in education are appraised and institutionalized to the height that learners are sometimes unable to reflect on their own without recourse to the aid of such technologies. It is not enough to employ technology and technologically enhance learning, but also we have to question its impact on the intellectual development of learners. Appropriating Heidegger’s phenomenology, the ontology of the human subject provides a philosophical and normative foundation for a comprehensive analysis of the use of computer-based learning in the technological frame since it allows us to rethink more seriously about subjective factors in education in today's growing technological society. This article recommends that the embracement of educational and learning technologies should consider both subjective and technological aspects; a blended education and learning system would be appropriate.

 

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Published

2022-12-10

How to Cite

Ichuloi, A., & Nyaoko, O. D. (2022). Ontological Paradox of Computer-Based Technologies Used in Education and Learning. Editon Consortium Journal of Engineering and Computer Science, 1(1), 5–23. https://doi.org/10.51317/.v1i1.336

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Section

Articles