Pub Date : 2024-07-25DOI: 10.3390/publications12030022
Awk Yeung, Maima Matin, Michel-Edwar Mickael, Sybille Behrens, Dalibor Hrg, Michał Ławiński, Fabian Peter Hammerle, Atanas G. Atanasov
The aim of this study was to perform a bibliometric analysis to discover what topics of dental YouTube videos have been investigated by the scientific literature, and evaluate how video characteristics were related to citation count. The Scopus electronic literature database was accessed to identify relevant papers. After screening, a total of 128 papers entered the analysis. The bibliographic data were provided by Scopus, whereas content evaluations were manually performed. Most papers evaluated videos recorded in English (85.9%). Each of the 128 papers analyzed a mean (±SD) of 79.2 ± 61.6 videos. Mean journal impact factor was 1.8 ± 1.4, and mean citation count was 13.0 ± 22.4. The preference for publication of papers was inclined towards dental journals (80.5%), with the majority (54.7%) being published without open access. Papers dealing with videos targeting patients/public had higher citations than those targeting dental professionals only (14.1 ± 23.4 vs. 4.0 ± 6.3, p < 0.001). The most represented as well as the most highly cited specialty of the dental YouTube publications was oral and maxillofacial surgery/oral medicine. Some twin or triplet studies published in the same year covering the same topic were identified, but they often covered a different number of videos.
{"title":"Bibliometric Analysis of Papers Dealing with Dental Videos on YouTube","authors":"Awk Yeung, Maima Matin, Michel-Edwar Mickael, Sybille Behrens, Dalibor Hrg, Michał Ławiński, Fabian Peter Hammerle, Atanas G. Atanasov","doi":"10.3390/publications12030022","DOIUrl":"https://doi.org/10.3390/publications12030022","url":null,"abstract":"The aim of this study was to perform a bibliometric analysis to discover what topics of dental YouTube videos have been investigated by the scientific literature, and evaluate how video characteristics were related to citation count. The Scopus electronic literature database was accessed to identify relevant papers. After screening, a total of 128 papers entered the analysis. The bibliographic data were provided by Scopus, whereas content evaluations were manually performed. Most papers evaluated videos recorded in English (85.9%). Each of the 128 papers analyzed a mean (±SD) of 79.2 ± 61.6 videos. Mean journal impact factor was 1.8 ± 1.4, and mean citation count was 13.0 ± 22.4. The preference for publication of papers was inclined towards dental journals (80.5%), with the majority (54.7%) being published without open access. Papers dealing with videos targeting patients/public had higher citations than those targeting dental professionals only (14.1 ± 23.4 vs. 4.0 ± 6.3, p < 0.001). The most represented as well as the most highly cited specialty of the dental YouTube publications was oral and maxillofacial surgery/oral medicine. Some twin or triplet studies published in the same year covering the same topic were identified, but they often covered a different number of videos.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141803851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-19DOI: 10.3390/publications12030021
Fitri Mutia, M. N. Masrek, Mohammad Fazli Baharuddin, S. M. Shuhidan, Tri Soesantari, Helmy Prasetyo Yuwinanto, Ragil Tri Atmi
Various articles suggest that artificial intelligence (AI) in libraries can enhance the learning experience, promote lifelong learning, and strengthen digital literacy. However, it is unclear if practicing librarians agree with these benefits. Malaysia and Indonesia, neighboring countries with similar library practices, may have differing or similar views on AI support for learning, lifelong learning, and digital literacy. To this effect, this study was conducted with the aim of assessing librarian perspectives on the support provided by AI in enhancing learning experiences, fostering lifelong learning, and advancing digital literacy initiatives. Additionally, it seeks to compare these perspectives between Malaysia and Indonesia. Using a survey research methodology and an online questionnaire as the data collection technique, the results of the analysis showed that librarians assessed the AI support for learning experiences, lifelong learning, and digital literacy favorably. It was also found that there was no significant difference in the assessments of librarians from these two countries. The contribution of this study is that it has provided empirical evidence regarding AI support in libraries, and developed a scale or measurement for assessing AI support for learning experiences, lifelong learning, and digital literacy. This instrument can be used as a guide when it comes to investing in AI technologies for libraries.
{"title":"An Exploratory Comparative Analysis of Librarians’ Views on AI Support for Learning Experiences, Lifelong Learning, and Digital Literacy in Malaysia and Indonesia","authors":"Fitri Mutia, M. N. Masrek, Mohammad Fazli Baharuddin, S. M. Shuhidan, Tri Soesantari, Helmy Prasetyo Yuwinanto, Ragil Tri Atmi","doi":"10.3390/publications12030021","DOIUrl":"https://doi.org/10.3390/publications12030021","url":null,"abstract":"Various articles suggest that artificial intelligence (AI) in libraries can enhance the learning experience, promote lifelong learning, and strengthen digital literacy. However, it is unclear if practicing librarians agree with these benefits. Malaysia and Indonesia, neighboring countries with similar library practices, may have differing or similar views on AI support for learning, lifelong learning, and digital literacy. To this effect, this study was conducted with the aim of assessing librarian perspectives on the support provided by AI in enhancing learning experiences, fostering lifelong learning, and advancing digital literacy initiatives. Additionally, it seeks to compare these perspectives between Malaysia and Indonesia. Using a survey research methodology and an online questionnaire as the data collection technique, the results of the analysis showed that librarians assessed the AI support for learning experiences, lifelong learning, and digital literacy favorably. It was also found that there was no significant difference in the assessments of librarians from these two countries. The contribution of this study is that it has provided empirical evidence regarding AI support in libraries, and developed a scale or measurement for assessing AI support for learning experiences, lifelong learning, and digital literacy. This instrument can be used as a guide when it comes to investing in AI technologies for libraries.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-11DOI: 10.3390/publications12030020
Mirko Duic
The goal of this study was to investigate the practices and attitudes of the research and teaching staff at the University of Split (Croatia) about the online encyclopedia Wikipedia. The method of a questionnaire-based survey was used to gain insights related to this topic. During February 2024, the survey was completed by 226 respondents. The results show that almost all respondents read Wikipedia articles and believe that the level of their accuracy is quite high. Almost half of the respondents strongly agree with the statement that it would be desirable for faculty staff to write Wikipedia articles with the aim of spreading knowledge about topics from their professional fields. However, a very small number of respondents participated in writing articles for Wikipedia. Also, the respondents answered that to them, the greatest motivations to write articles on Wikipedia would be if this activity were evaluated for the advancement to a higher work position and the correction of errors in Wikipedia articles. It was also found that most respondents are not very familiar with how Wikipedia works or how to add new content to it. These and other insights from this study can be used to conceive and initiate various activities that can contribute to greater participation of scientific and teaching staff of higher education institutions in writing quality content on Wikipedia, as well as activities that can contribute to a better familiarization with the principles and procedures to write and enhance its content. Other research methods, such as interviews with scientific and teaching staff of higher education institutions, could be used to acquire further, more detailed answers related to this topic.
{"title":"Practices and Attitudes of the Research and Teaching Staff at the University of Split about the Online Encyclopedia Wikipedia","authors":"Mirko Duic","doi":"10.3390/publications12030020","DOIUrl":"https://doi.org/10.3390/publications12030020","url":null,"abstract":"The goal of this study was to investigate the practices and attitudes of the research and teaching staff at the University of Split (Croatia) about the online encyclopedia Wikipedia. The method of a questionnaire-based survey was used to gain insights related to this topic. During February 2024, the survey was completed by 226 respondents. The results show that almost all respondents read Wikipedia articles and believe that the level of their accuracy is quite high. Almost half of the respondents strongly agree with the statement that it would be desirable for faculty staff to write Wikipedia articles with the aim of spreading knowledge about topics from their professional fields. However, a very small number of respondents participated in writing articles for Wikipedia. Also, the respondents answered that to them, the greatest motivations to write articles on Wikipedia would be if this activity were evaluated for the advancement to a higher work position and the correction of errors in Wikipedia articles. It was also found that most respondents are not very familiar with how Wikipedia works or how to add new content to it. These and other insights from this study can be used to conceive and initiate various activities that can contribute to greater participation of scientific and teaching staff of higher education institutions in writing quality content on Wikipedia, as well as activities that can contribute to a better familiarization with the principles and procedures to write and enhance its content. Other research methods, such as interviews with scientific and teaching staff of higher education institutions, could be used to acquire further, more detailed answers related to this topic.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141656048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-22DOI: 10.3390/publications12020017
Ka-wai Fan
This study explores the realm of book reviews within medical history journals, an area often overlooked in the existing literature. By scrutinizing four prominent journals over a five-year period, encompassing 780 book reviews, this research elucidates prevalent trends and patterns. Findings reveal disparities in review volume and author demographics, underscored by English-language dominance. Challenges such as limited word counts and evaluation dynamics emerge as impediments to review quality. Proposed enhancements include relaxing word limits, conducting reader surveys, and fostering access to non-English literature. These strategies aim to invigorate scholarly discourse, enriching the landscape of medical history research.
{"title":"Book Reviews in Medical History Journals","authors":"Ka-wai Fan","doi":"10.3390/publications12020017","DOIUrl":"https://doi.org/10.3390/publications12020017","url":null,"abstract":"This study explores the realm of book reviews within medical history journals, an area often overlooked in the existing literature. By scrutinizing four prominent journals over a five-year period, encompassing 780 book reviews, this research elucidates prevalent trends and patterns. Findings reveal disparities in review volume and author demographics, underscored by English-language dominance. Challenges such as limited word counts and evaluation dynamics emerge as impediments to review quality. Proposed enhancements include relaxing word limits, conducting reader surveys, and fostering access to non-English literature. These strategies aim to invigorate scholarly discourse, enriching the landscape of medical history research.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141110188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-15DOI: 10.3390/publications12020016
Radovan Vrana
This paper presents the results of an empirical research study of Croatian scientists’ use and management of research data. This research study was carried out from 28 June 2023 until 31 August 2023 using an online questionnaire consisting of 28 questions. The answers of 584 respondents working in science were filtered out for further analysis. About three-quarters of the respondents used the research data of other scientists successfully. Research data were mostly acquired from colleagues from the same department or institution. Roughly half of the respondents did not ask other scientists directly for their research data. Research data are important to the respondents mostly for raising the quality of research. Repeating someone else’s research by using their research data is still a problem. Less than one-third of the respondents provided full access to their research data mostly due to their fear of misuse. The benefits of research data sharing were recognized but few of the respondents received any reward for it. Archiving research data is a significant problem for the respondents as they dominantly use their own computers prone to failure for that activity and do not think about long-term preservation. Finally, the respondents lacked deeper knowledge of research data management.
{"title":"Research Data Management in the Croatian Academic Community: A Research Study","authors":"Radovan Vrana","doi":"10.3390/publications12020016","DOIUrl":"https://doi.org/10.3390/publications12020016","url":null,"abstract":"This paper presents the results of an empirical research study of Croatian scientists’ use and management of research data. This research study was carried out from 28 June 2023 until 31 August 2023 using an online questionnaire consisting of 28 questions. The answers of 584 respondents working in science were filtered out for further analysis. About three-quarters of the respondents used the research data of other scientists successfully. Research data were mostly acquired from colleagues from the same department or institution. Roughly half of the respondents did not ask other scientists directly for their research data. Research data are important to the respondents mostly for raising the quality of research. Repeating someone else’s research by using their research data is still a problem. Less than one-third of the respondents provided full access to their research data mostly due to their fear of misuse. The benefits of research data sharing were recognized but few of the respondents received any reward for it. Archiving research data is a significant problem for the respondents as they dominantly use their own computers prone to failure for that activity and do not think about long-term preservation. Finally, the respondents lacked deeper knowledge of research data management.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140973193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.3390/publications12020015
Claire Jean-Quartier, Harald Kleinberger-Pierer, Barbara Zach, Ilire Hasani-Mavriqi, Lea Pešec, Clara Schmikl-Reiter
Open data provide the scientific community and other stakeholders with unrestricted access to data. Open data serve as a foundation for reproducing research findings, while also facilitating collaboration and enabling novel discoveries. However, open data practices are still not commonly applied. To contribute to the implementation of open data strategy in academia in Austria and beyond, a collection of local strategies from regional universities and higher education institutions in the Austrian provinces of Styria and Carinthia was compiled through workshop-based discussions between participants from research support service units at research-performing organizations. The collection was further organized into categories based on application time scenarios, target groups, and involved parties, as well as corresponding thematic focus. A strategic guide consisting of various measures has been developed to encourage the adoption of open data practices from an organizational standpoint. Designed for adaptability, it aims to be applicable and modifiable by all interested research and higher education institutions, regardless of their priorities and resources. Our guideline aids research organizations in crafting a tailored strategy to enhance their data dissemination practices, thereby increasing their research visibility and impact.
{"title":"Fostering Open Data Practices in Research-Performing Organizations","authors":"Claire Jean-Quartier, Harald Kleinberger-Pierer, Barbara Zach, Ilire Hasani-Mavriqi, Lea Pešec, Clara Schmikl-Reiter","doi":"10.3390/publications12020015","DOIUrl":"https://doi.org/10.3390/publications12020015","url":null,"abstract":"Open data provide the scientific community and other stakeholders with unrestricted access to data. Open data serve as a foundation for reproducing research findings, while also facilitating collaboration and enabling novel discoveries. However, open data practices are still not commonly applied. To contribute to the implementation of open data strategy in academia in Austria and beyond, a collection of local strategies from regional universities and higher education institutions in the Austrian provinces of Styria and Carinthia was compiled through workshop-based discussions between participants from research support service units at research-performing organizations. The collection was further organized into categories based on application time scenarios, target groups, and involved parties, as well as corresponding thematic focus. A strategic guide consisting of various measures has been developed to encourage the adoption of open data practices from an organizational standpoint. Designed for adaptability, it aims to be applicable and modifiable by all interested research and higher education institutions, regardless of their priorities and resources. Our guideline aids research organizations in crafting a tailored strategy to enhance their data dissemination practices, thereby increasing their research visibility and impact.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141001333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Disinformation is a phenomenon of concern to all political systems, as it poses a threat to freedom and democracy through the manipulation of public opinion aimed at eroding institutions. This paper presents a bibliometric and systematized study which allows the establishment of a comprehensive view of the research and current state of academic investigations on disinformation. To this end, a content analysis of the scientific articles indexed in Scopus up to 31 December 2023 has been carried out based on three categories of analysis: journals, authors and investigations. Similarly, a systematic study of the 50 most cited articles in this sample was performed in order to gain a deeper understanding of the nature, motivations and methodological approaches of these investigations. The results indicate that disinformation is a research topic which has gained great interest in the academic community since 2018, with special mention to the impact of COVID-19 and the vaccines against this disease. Thus, it can be concluded that disinformation is an object of study which attracts significant attention and which must be approached from transdisciplinarity to respond to a phenomenon of great complexity.
{"title":"Research on Disinformation in Academic Studies: Perspectives through a Bibliometric Analysis","authors":"Nuria Navarro-Sierra, Silvia Magro-Vela, Raquel Vinader-Segura","doi":"10.3390/publications12020014","DOIUrl":"https://doi.org/10.3390/publications12020014","url":null,"abstract":"Disinformation is a phenomenon of concern to all political systems, as it poses a threat to freedom and democracy through the manipulation of public opinion aimed at eroding institutions. This paper presents a bibliometric and systematized study which allows the establishment of a comprehensive view of the research and current state of academic investigations on disinformation. To this end, a content analysis of the scientific articles indexed in Scopus up to 31 December 2023 has been carried out based on three categories of analysis: journals, authors and investigations. Similarly, a systematic study of the 50 most cited articles in this sample was performed in order to gain a deeper understanding of the nature, motivations and methodological approaches of these investigations. The results indicate that disinformation is a research topic which has gained great interest in the academic community since 2018, with special mention to the impact of COVID-19 and the vaccines against this disease. Thus, it can be concluded that disinformation is an object of study which attracts significant attention and which must be approached from transdisciplinarity to respond to a phenomenon of great complexity.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141003563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.3390/publications12020012
Fabio Zagonari, Paolo Foschi
This paper measures two main inefficiency features (many publications other than articles; many co-authors’ reciprocal citations) and two main inequity features (more co-authors in some disciplines; more citations for authors with more experience). It constructs a representative dataset based on a cross-disciplinary balanced sample (10,000 authors with at least one publication indexed in Scopus from 2006 to 2015). It estimates to what extent four additional improvements of the H-index as top-down regulations (∆Hh = Hh − Hh+1 from H1 = based on publications to H5 = net per-capita per-year based on articles) account for inefficiency and inequity across twenty-five disciplines and four subjects. Linear regressions and ANOVA results show that the single improvements of the H-index considerably and decreasingly explain the inefficiency and inequity features but make these vaguely comparable across disciplines and subjects, while the overall improvement of the H-index (H1–H5) marginally explains these features but make disciplines and subjects clearly comparable, to a greater extent across subjects than disciplines. Fitting a Gamma distribution to H5 for each discipline and subject by maximum likelihood shows that the estimated probability densities and the percentages of authors characterised by H5 ≥ 1 to H5 ≥ 3 are different across disciplines but similar across subjects.
{"title":"Coping with the Inequity and Inefficiency of the H-Index: A Cross-Disciplinary Empirical Analysis","authors":"Fabio Zagonari, Paolo Foschi","doi":"10.3390/publications12020012","DOIUrl":"https://doi.org/10.3390/publications12020012","url":null,"abstract":"This paper measures two main inefficiency features (many publications other than articles; many co-authors’ reciprocal citations) and two main inequity features (more co-authors in some disciplines; more citations for authors with more experience). It constructs a representative dataset based on a cross-disciplinary balanced sample (10,000 authors with at least one publication indexed in Scopus from 2006 to 2015). It estimates to what extent four additional improvements of the H-index as top-down regulations (∆Hh = Hh − Hh+1 from H1 = based on publications to H5 = net per-capita per-year based on articles) account for inefficiency and inequity across twenty-five disciplines and four subjects. Linear regressions and ANOVA results show that the single improvements of the H-index considerably and decreasingly explain the inefficiency and inequity features but make these vaguely comparable across disciplines and subjects, while the overall improvement of the H-index (H1–H5) marginally explains these features but make disciplines and subjects clearly comparable, to a greater extent across subjects than disciplines. Fitting a Gamma distribution to H5 for each discipline and subject by maximum likelihood shows that the estimated probability densities and the percentages of authors characterised by H5 ≥ 1 to H5 ≥ 3 are different across disciplines but similar across subjects.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.3390/publications12020011
Jelena Madunić, Matija Sovulj
Recent developments in generative artificial intelligence tools have prompted immediate reactions in the academic library community. While most studies focus on the potential impact on academic integrity, this work explored constructive applications of ChatGPT in the design of instructional materials for courses in academic information literacy. The starting point was the use of openly licenced information resources or content infrastructure as facilitators in the creation of educational materials. In the first phase, course teaching material was developed using a prompt engineering strategy, predefined standards, and a prompt script. As a second step, we experimented with designing a custom chatbot model connected to a pre-defined corpus of source documents. The results demonstrated that the final teaching material required careful revision and optimisation before use in an actual instructional programme. The experimental design of the custom chatbot was able to query specific user-defined documents. Taken together, these findings suggest that the strategic and well-planned use of ChatGPT technology in content creation can have substantial benefits in terms of time and cost efficiency. In the context of information literacy, the results provide a practical and innovative solution to integrate the new technology tool into instructional practices.
{"title":"Application of ChatGPT in Information Literacy Instructional Design","authors":"Jelena Madunić, Matija Sovulj","doi":"10.3390/publications12020011","DOIUrl":"https://doi.org/10.3390/publications12020011","url":null,"abstract":"Recent developments in generative artificial intelligence tools have prompted immediate reactions in the academic library community. While most studies focus on the potential impact on academic integrity, this work explored constructive applications of ChatGPT in the design of instructional materials for courses in academic information literacy. The starting point was the use of openly licenced information resources or content infrastructure as facilitators in the creation of educational materials. In the first phase, course teaching material was developed using a prompt engineering strategy, predefined standards, and a prompt script. As a second step, we experimented with designing a custom chatbot model connected to a pre-defined corpus of source documents. The results demonstrated that the final teaching material required careful revision and optimisation before use in an actual instructional programme. The experimental design of the custom chatbot was able to query specific user-defined documents. Taken together, these findings suggest that the strategic and well-planned use of ChatGPT technology in content creation can have substantial benefits in terms of time and cost efficiency. In the context of information literacy, the results provide a practical and innovative solution to integrate the new technology tool into instructional practices.","PeriodicalId":37551,"journal":{"name":"Publications","volume":null,"pages":null},"PeriodicalIF":5.2,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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