ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia
The impact of generative artificial intelligence-based Chatbots on medical education, particularly in Southeast Asia, is understudied regarding healthcare students' perceptions of its academic utility. Sociodemographic profiles and educational strategies influence prospective healthcare practit...
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| Veröffentlicht in: | Curēus (Palo Alto, CA) CA), 2024-01, Vol.16 (1), p.e53032-e53032 |
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| container_title | Curēus (Palo Alto, CA) |
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| creator | George Pallivathukal, Renjith Kyaw Soe, Htoo Htoo Donald, Preethy Mary Samson, Renu Sarah Hj Ismail, Abdul Rashid |
| description | The impact of generative artificial intelligence-based Chatbots on medical education, particularly in Southeast Asia, is understudied regarding healthcare students' perceptions of its academic utility. Sociodemographic profiles and educational strategies influence prospective healthcare practitioners' attitudes toward AI tools.
This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables.
Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.
Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.
This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia. |
| doi_str_mv | 10.7759/cureus.53032 |
| format | Article |
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This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables.
Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.
Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.
This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.53032</identifier><identifier>PMID: 38410331</identifier><language>eng</language><publisher>United States: Cureus Inc</publisher><subject>Accuracy ; Artificial intelligence ; Attitudes ; Chatbots ; Creativity ; Education ; Epidemiology/Public Health ; Gender ; Influence ; Knowledge ; Medical Education ; Population ; Questionnaires ; Sample size ; University students ; Validity ; Variables</subject><ispartof>Curēus (Palo Alto, CA), 2024-01, Vol.16 (1), p.e53032-e53032</ispartof><rights>Copyright © 2024, George Pallivathukal et al.</rights><rights>Copyright © 2024, George Pallivathukal et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2024, George Pallivathukal et al. 2024 George Pallivathukal et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c300t-cb1aafa6303edd4f36407efda12a96e8ed0c10b88708d80a133138692e79d3a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10895383/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10895383/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38410331$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>George Pallivathukal, Renjith</creatorcontrib><creatorcontrib>Kyaw Soe, Htoo Htoo</creatorcontrib><creatorcontrib>Donald, Preethy Mary</creatorcontrib><creatorcontrib>Samson, Renu Sarah</creatorcontrib><creatorcontrib>Hj Ismail, Abdul Rashid</creatorcontrib><title>ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia</title><title>Curēus (Palo Alto, CA)</title><addtitle>Cureus</addtitle><description>The impact of generative artificial intelligence-based Chatbots on medical education, particularly in Southeast Asia, is understudied regarding healthcare students' perceptions of its academic utility. Sociodemographic profiles and educational strategies influence prospective healthcare practitioners' attitudes toward AI tools.
This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables.
Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.
Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.
This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia.</description><subject>Accuracy</subject><subject>Artificial intelligence</subject><subject>Attitudes</subject><subject>Chatbots</subject><subject>Creativity</subject><subject>Education</subject><subject>Epidemiology/Public Health</subject><subject>Gender</subject><subject>Influence</subject><subject>Knowledge</subject><subject>Medical Education</subject><subject>Population</subject><subject>Questionnaires</subject><subject>Sample size</subject><subject>University students</subject><subject>Validity</subject><subject>Variables</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtLJDEUhYOMjKLuZi2B2czC1pukHqnZDE3jCxQFdTGrcDu51V1SVelJKkL_e0vbEXWVC_k4nMPH2A8Bx2WZVyc2BUrxOFeg5BbblaLQEy109u3DvcMOYnwEAAGlhBK-sx2lMwFKiV32d7bE4fz2ntc-8KlFR11j-W0KKx8p_uZ3KTzRmk873y_4Q-8oLAK6hAPxC8J2WFoMxO-G5KgfIm96fo0trmOD-2y7xjbSwdu7xx7OTu9nF5Orm_PL2fRqYhXAMLFzgVhjMS4g57JaFRmUVDsUEquCNDmwAuZal6CdBhRjbaWLSlJZOYW52mN_NrmrNO_I2bFHwNasQtNhWBuPjfn80zdLs_BPRoCucqXVmPDrLSH4f4niYLomWmpb7MmnaGSlZKZUVsCI_vyCPvoU-nHfC6UyKfNCj9TRhrLBxxiofm8jwLx4Mxtv5tXbiB9-XPAO_7ekngFndZTZ</recordid><startdate>20240127</startdate><enddate>20240127</enddate><creator>George Pallivathukal, Renjith</creator><creator>Kyaw Soe, Htoo Htoo</creator><creator>Donald, Preethy Mary</creator><creator>Samson, Renu Sarah</creator><creator>Hj Ismail, Abdul Rashid</creator><general>Cureus Inc</general><general>Cureus</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240127</creationdate><title>ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia</title><author>George Pallivathukal, Renjith ; Kyaw Soe, Htoo Htoo ; Donald, Preethy Mary ; Samson, Renu Sarah ; Hj Ismail, Abdul Rashid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c300t-cb1aafa6303edd4f36407efda12a96e8ed0c10b88708d80a133138692e79d3a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Artificial intelligence</topic><topic>Attitudes</topic><topic>Chatbots</topic><topic>Creativity</topic><topic>Education</topic><topic>Epidemiology/Public Health</topic><topic>Gender</topic><topic>Influence</topic><topic>Knowledge</topic><topic>Medical Education</topic><topic>Population</topic><topic>Questionnaires</topic><topic>Sample size</topic><topic>University students</topic><topic>Validity</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>George Pallivathukal, Renjith</creatorcontrib><creatorcontrib>Kyaw Soe, Htoo Htoo</creatorcontrib><creatorcontrib>Donald, Preethy Mary</creatorcontrib><creatorcontrib>Samson, Renu Sarah</creatorcontrib><creatorcontrib>Hj Ismail, Abdul Rashid</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>George Pallivathukal, Renjith</au><au>Kyaw Soe, Htoo Htoo</au><au>Donald, Preethy Mary</au><au>Samson, Renu Sarah</au><au>Hj Ismail, Abdul Rashid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><addtitle>Cureus</addtitle><date>2024-01-27</date><risdate>2024</risdate><volume>16</volume><issue>1</issue><spage>e53032</spage><epage>e53032</epage><pages>e53032-e53032</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>The impact of generative artificial intelligence-based Chatbots on medical education, particularly in Southeast Asia, is understudied regarding healthcare students' perceptions of its academic utility. Sociodemographic profiles and educational strategies influence prospective healthcare practitioners' attitudes toward AI tools.
This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables.
Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.
Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.
This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia.</abstract><cop>United States</cop><pub>Cureus Inc</pub><pmid>38410331</pmid><doi>10.7759/cureus.53032</doi><oa>free_for_read</oa></addata></record> |
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| source | PubMed Central Open Access; PubMed Central |
| subjects | Accuracy Artificial intelligence Attitudes Chatbots Creativity Education Epidemiology/Public Health Gender Influence Knowledge Medical Education Population Questionnaires Sample size University students Validity Variables |
| title | ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia |
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