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The Google Effect: Technological Transformation Awareness and Deliberation in Teaching
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 8 |
| Year of Publication: 2025 |
| Authors: Irena Bagdady, Kazimir Bagdady |
10.5120/ijca2025925022
|
Irena Bagdady, Kazimir Bagdady . The Google Effect: Technological Transformation Awareness and Deliberation in Teaching. International Journal of Computer Applications. 187, 8 ( May 2025), 34-41. DOI=10.5120/ijca2025925022
Abstract
The autodidactic revolution is where there is no human teacher - only a digital one. Complete artificial intelligence (AI), digitization in marketing, teaching, and learning may never occur because of numerous limitations. Limitations include (a) robotic and AI saturation; (b) AI transformation of paper to hybrid system; (c) audio components for hybrid projects, and (d) AI audio components in ChatGPT. In academia, technological audio domains refer to devices through which one speaks, while teaching and learning. Those speaking devices are found in a wide variety of devices including voice recorders, telecommunications, Alexa blue tooth, navigation devices, Siri for Apple, Bing or CoPilot for Microsoft. Currently, Chat GPT only uses a written chatbot to receive and answer questions, but verbal versions are in development. This quantitative case study uses person environment fit theory and how pertaining human behaviors in their environments and technology may be a misfit. This case study example proposes four topic areas of audio technology for Google Effect, artificial intelligence (AI), hybrid teaching, and ChatGPT, as they apply to marketing programs and teaching. The results of the study will be analyzed to create themes and make recommendations regarding the benefits of speaking rather than writing questions and answers to obtain data. Verbal communication is easier than typing, but results in many transcription mistakes, like synonymous words that are spelled differently but sound the same. When students at all levels do assignments, validity of technology data searches, challenges plagiarism accepted allowances, 15 percent. Plagiarism allowances and the use of only secondary and no primary sources and the lack of knowing authors’ referenced credentials violate validity. In this hypothetical case, findings showed results either with or without statistical significance through a construct validation
References
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