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Can Generative AI Help Realize the Shift from an Outcome-Oriented to a Process-Outcome-Balanced Educational Practice?

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Title: Can Generative AI Help Realize the Shift from an Outcome-Oriented to a Process-Outcome-Balanced Educational Practice?
Language: English
Authors: Yueh-Hui Vanessa Chiang, Maiga Chang, Nian-Shing Chen
Source: Educational Technology & Society. 2024 27(2):347-385.
Availability: International Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/
Peer Reviewed: Y
Page Count: 39
Publication Date: 2024
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Artificial Intelligence, Educational Practices, Process Education, Educational Objectives, Influence of Technology, Change Strategies, Learning Processes, Programming Languages, Learning Activities, Portfolio Assessment, Portfolios (Background Materials), Electronic Learning, Electronic Publishing, Computer Mediated Communication, Technology Integration, Technology Uses in Education, Experiential Learning
DOI: 10.30191/ETS.202404_27(2).TP04
ISSN: 1176-3647
1436-4522
Abstract: Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more balanced approach that values both the learning process and its outcomes. Traditionally, education has emphasized achieving predefined results, but the advent of generative AI tools, which enable students to easily produce tangible results, calls for a reevaluation of these practices. This shift suggests a need for a broader focus that encompasses the entire learning process leading to the final product, thereby promoting an educational practice that equally emphasizes both the journey and the destination of learning. Recognizing that the implementation of such practices, facilitated by generative AI, still requires exploration, this paper proposes a solution that integrates the experiential learning cycle and learning portfolio. This approach is designed to demonstrate the realization of process-outcome-balanced educational practices through the use of a pedagogical AI agent.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1421956
Database: ERIC
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  Data: Can Generative AI Help Realize the Shift from an Outcome-Oriented to a Process-Outcome-Balanced Educational Practice?
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  Data: International Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/
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  Data: Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more balanced approach that values both the learning process and its outcomes. Traditionally, education has emphasized achieving predefined results, but the advent of generative AI tools, which enable students to easily produce tangible results, calls for a reevaluation of these practices. This shift suggests a need for a broader focus that encompasses the entire learning process leading to the final product, thereby promoting an educational practice that equally emphasizes both the journey and the destination of learning. Recognizing that the implementation of such practices, facilitated by generative AI, still requires exploration, this paper proposes a solution that integrates the experiential learning cycle and learning portfolio. This approach is designed to demonstrate the realization of process-outcome-balanced educational practices through the use of a pedagogical AI agent.
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Educational Practices
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      – SubjectFull: Process Education
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