MARC details
| 000 -LEADER |
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| fixed length control field |
02764nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250111140347.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250111b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
DIS LC 1081 |
| Item number |
Z43 2024 c.1 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Zhang, Meng |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
Prospects and challenges in using generative AI tools in higher education institutions: |
| Remainder of title |
perspectives of students and teachers/ |
| Statement of responsibility, etc. |
Meng Zhang .-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 170pages: |
| Dimensions |
29cm. |
| Accompanying material |
+1 CD-ROM (4 3/4in.) |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Thesis (graduate) |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Industrial Education .-- |
| Degree type |
Doctor of Education major in Industrial Education Management: |
| Name of granting institution |
Technological University of the Philippines, |
| Year degree granted |
2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliography: |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This dissertation explores the prospects and challenges of integrating Generative<br/>Artificial Intelligence (AI) tools in higher education institutions in the Philippines,<br/>focusing on the perspectives of students and educators. Generative AI, represented by technologies such as ChatGPT, has emerged as a transformative<br/>force in education, offering unprecedented opportunities for personalized learning, enhanced engagement, and innovative teaching methodologies. However, this<br/>advent also introduces complexities, including ethical concerns, academic<br/>integrity issues, and the need for robust infrastructural support. Through a<br/>mixed-methods research design, this study addresses critical questions about the<br/>awareness, application, and implications of Generative AI tools within select<br/>Higher Education Institutions (HEIs) in the National Capital Region (NCR). The<br/>research findings reveal varying levels of awareness and usage among students<br/>and faculty, highlighting a significant potential for pedagogical innovation<br/>alongside notable challenges such as ensuring equitable access and addressing<br/>ethical considerations. The dissertation contributes to the discourse on integrating<br/>Generative AI in education by providing a nuanced understanding of its potential<br/>benefits and pitfalls. Recommendations for future research, policy formulation, and educational practice are presented, aiming to harness the positive aspects of<br/>Generative AI while mitigating its challenges. This study adds to the global<br/>conversation on academic technology and offers insights specific to the Philippine<br/>context, suggesting pathways for the responsible adoption of Generative AI in<br/>educational settings. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial Intelligence |
| Form subdivision |
Education |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Technological Advancements |
| Form subdivision |
Education |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Dissertation |
| Suppress in OPAC |
No |