Leveraging ChatGPT in the Generation of Interdisciplinary Curriculum: Programming Finance

This paper explores the role of AI tools such as ChatGPT in generating interdisciplinary curriculum- specifically generating curriculum artifacts within a programming course that is accommodating to finance students. A literature review is undertaken which highlights the need for such interdisciplin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of employment studies 2023-10, Vol.31 (2), p.47
Hauptverfasser: Bozzetto, Luke, Lo, Charles
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 2
container_start_page 47
container_title International journal of employment studies
container_volume 31
creator Bozzetto, Luke
Lo, Charles
description This paper explores the role of AI tools such as ChatGPT in generating interdisciplinary curriculum- specifically generating curriculum artifacts within a programming course that is accommodating to finance students. A literature review is undertaken which highlights the need for such interdisciplinary content within programming curricula, and results in a three-step process is suggested within the paper to understand the educational environment, functionalities within the environment, and the use of prompt patterns for creating more effective prompts to be used with Large Language Models (LLMs). A series of example prompts and responses are presented that show the initial success of following this methodology and the paper discusses the future work of analysing the efficacy of the generated artifacts, as well as implications for future curriculum development.
format Article
fullrecord <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_infotracmisc_A779213934</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A779213934</galeid><sourcerecordid>A779213934</sourcerecordid><originalsourceid>FETCH-LOGICAL-g1424-d141bc014e9c49ce33bcf8aba6b8a7385249bbdd77a5df48b7515da4e0868f2e3</originalsourceid><addsrcrecordid>eNptj8tqwzAQRb1ooenjHwTd1sWy5NjqLpgmDQSaRbroKoykkaJiy0WyC_37qo9FCmFgBuaee5k5y2a0YCKfC8EusssY34qCiqooZ9nrBj8wgHXekvYA42q7I86T8YBkhT4poxs8GQxZ-xGDdlG59855CJ-knUJwauqm_oFsw2AD9P13zDLJXuF1dm6gi3jzN6-yl-Xjrn3KN8-rdbvY5JbykueacipVQTkKxYVCxqQyDUiYywZq1lQlF1JqXddQacMbWVe00sCxaOaNKZFdZbe_uRY63DtvhjGA6tOl-0Vdi5IywXii8hOU_XmxGzwal9b_-PsTfCqNvVMnDXdHBjlF5zGmFp09jNHCFOMx_gWzdnyt</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Leveraging ChatGPT in the Generation of Interdisciplinary Curriculum: Programming Finance</title><source>EBSCOhost Business Source Complete</source><creator>Bozzetto, Luke ; Lo, Charles</creator><creatorcontrib>Bozzetto, Luke ; Lo, Charles</creatorcontrib><description>This paper explores the role of AI tools such as ChatGPT in generating interdisciplinary curriculum- specifically generating curriculum artifacts within a programming course that is accommodating to finance students. A literature review is undertaken which highlights the need for such interdisciplinary content within programming curricula, and results in a three-step process is suggested within the paper to understand the educational environment, functionalities within the environment, and the use of prompt patterns for creating more effective prompts to be used with Large Language Models (LLMs). A series of example prompts and responses are presented that show the initial success of following this methodology and the paper discusses the future work of analysing the efficacy of the generated artifacts, as well as implications for future curriculum development.</description><identifier>ISSN: 1039-6993</identifier><language>eng</language><publisher>International Employment Relations Association</publisher><subject>Artificial intelligence ; Curricula ; Education</subject><ispartof>International journal of employment studies, 2023-10, Vol.31 (2), p.47</ispartof><rights>COPYRIGHT 2023 International Employment Relations Association</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Bozzetto, Luke</creatorcontrib><creatorcontrib>Lo, Charles</creatorcontrib><title>Leveraging ChatGPT in the Generation of Interdisciplinary Curriculum: Programming Finance</title><title>International journal of employment studies</title><description>This paper explores the role of AI tools such as ChatGPT in generating interdisciplinary curriculum- specifically generating curriculum artifacts within a programming course that is accommodating to finance students. A literature review is undertaken which highlights the need for such interdisciplinary content within programming curricula, and results in a three-step process is suggested within the paper to understand the educational environment, functionalities within the environment, and the use of prompt patterns for creating more effective prompts to be used with Large Language Models (LLMs). A series of example prompts and responses are presented that show the initial success of following this methodology and the paper discusses the future work of analysing the efficacy of the generated artifacts, as well as implications for future curriculum development.</description><subject>Artificial intelligence</subject><subject>Curricula</subject><subject>Education</subject><issn>1039-6993</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><recordid>eNptj8tqwzAQRb1ooenjHwTd1sWy5NjqLpgmDQSaRbroKoykkaJiy0WyC_37qo9FCmFgBuaee5k5y2a0YCKfC8EusssY34qCiqooZ9nrBj8wgHXekvYA42q7I86T8YBkhT4poxs8GQxZ-xGDdlG59855CJ-knUJwauqm_oFsw2AD9P13zDLJXuF1dm6gi3jzN6-yl-Xjrn3KN8-rdbvY5JbykueacipVQTkKxYVCxqQyDUiYywZq1lQlF1JqXddQacMbWVe00sCxaOaNKZFdZbe_uRY63DtvhjGA6tOl-0Vdi5IywXii8hOU_XmxGzwal9b_-PsTfCqNvVMnDXdHBjlF5zGmFp09jNHCFOMx_gWzdnyt</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Bozzetto, Luke</creator><creator>Lo, Charles</creator><general>International Employment Relations Association</general><scope>N95</scope><scope>XI7</scope></search><sort><creationdate>20231001</creationdate><title>Leveraging ChatGPT in the Generation of Interdisciplinary Curriculum: Programming Finance</title><author>Bozzetto, Luke ; Lo, Charles</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1424-d141bc014e9c49ce33bcf8aba6b8a7385249bbdd77a5df48b7515da4e0868f2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial intelligence</topic><topic>Curricula</topic><topic>Education</topic><toplevel>online_resources</toplevel><creatorcontrib>Bozzetto, Luke</creatorcontrib><creatorcontrib>Lo, Charles</creatorcontrib><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><jtitle>International journal of employment studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bozzetto, Luke</au><au>Lo, Charles</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Leveraging ChatGPT in the Generation of Interdisciplinary Curriculum: Programming Finance</atitle><jtitle>International journal of employment studies</jtitle><date>2023-10-01</date><risdate>2023</risdate><volume>31</volume><issue>2</issue><spage>47</spage><pages>47-</pages><issn>1039-6993</issn><abstract>This paper explores the role of AI tools such as ChatGPT in generating interdisciplinary curriculum- specifically generating curriculum artifacts within a programming course that is accommodating to finance students. A literature review is undertaken which highlights the need for such interdisciplinary content within programming curricula, and results in a three-step process is suggested within the paper to understand the educational environment, functionalities within the environment, and the use of prompt patterns for creating more effective prompts to be used with Large Language Models (LLMs). A series of example prompts and responses are presented that show the initial success of following this methodology and the paper discusses the future work of analysing the efficacy of the generated artifacts, as well as implications for future curriculum development.</abstract><pub>International Employment Relations Association</pub></addata></record>
fulltext fulltext
identifier ISSN: 1039-6993
ispartof International journal of employment studies, 2023-10, Vol.31 (2), p.47
issn 1039-6993
language eng
recordid cdi_gale_infotracmisc_A779213934
source EBSCOhost Business Source Complete
subjects Artificial intelligence
Curricula
Education
title Leveraging ChatGPT in the Generation of Interdisciplinary Curriculum: Programming Finance
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T03%3A23%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Leveraging%20ChatGPT%20in%20the%20Generation%20of%20Interdisciplinary%20Curriculum:%20Programming%20Finance&rft.jtitle=International%20journal%20of%20employment%20studies&rft.au=Bozzetto,%20Luke&rft.date=2023-10-01&rft.volume=31&rft.issue=2&rft.spage=47&rft.pages=47-&rft.issn=1039-6993&rft_id=info:doi/&rft_dat=%3Cgale%3EA779213934%3C/gale%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A779213934&rfr_iscdi=true