International Journal for Educational Integrity最新文献_第2页

Academic integrity and copyright literacy policy and instruction in K-12 schools: a global study from the perspective of school library professionals K-12 年级学校的学术诚信和版权扫盲政策与教学：从学校图书馆专业人员的角度开展的全球研究

IF 4.6

International Journal for Educational Integrity Pub Date : 2024-03-21 DOI: 10.1007/s40979-024-00150-x

Zakir Hossain, Özgür Çelik, Corinne Hertel

引用次数: 0

Algorithmically-driven writing and academic integrity: exploring educators' practices, perceptions, and policies in AI era 算法驱动的写作与学术诚信：探索人工智能时代教育工作者的实践、认知和政策

IF 4.6

International Journal for Educational Integrity Pub Date : 2024-03-20 DOI: 10.1007/s40979-024-00153-8

Leah Gustilo, Ethel Ong, Minie Rose Lapinid

{"title":"Algorithmically-driven writing and academic integrity: exploring educators' practices, perceptions, and policies in AI era","authors":"Leah Gustilo, Ethel Ong, Minie Rose Lapinid","doi":"10.1007/s40979-024-00153-8","DOIUrl":"https://doi.org/10.1007/s40979-024-00153-8","url":null,"abstract":"Despite global interest in the interface of Algorithmically-driven writing tools (ADWTs) and academic integrity, empirical data considering educators' perspectives on the challenges, benefits, and policies of ADWTs use remain scarce. This study responds to calls for empirical investigation concerning the affordances and encumbrances of ADWTs, and their implications for academic integrity. Using a cross-sectional survey research design, we recruited through snowball sampling 100 graduate students and faculty members representing ten disciplines. Participants completed an online survey on perceptions, practices, and policies in the utilization of ADWTs in education. The Technology Acceptance Model (TAM) helped us understand the factors influencing the acceptance and use of ADWTs. The study found that teacher respondents highly value the diverse ways ADWTs can support their educational goals (perceived usefulness). However, they must overcome their barrier threshold such as limited access to these tools (perception of external control), a perceived lack of knowledge on their use (computer self-efficacy), and concerns about ADWTs' impact on academic integrity, creativity, and more (output quality). AI technologies are making headway in more educational institutions because of their proven and potential benefits for teaching, learning, assessment, and research. However, AI in education, particularly ADWTs, demands critical awareness of ethical protocols and entails collaboration and empowerment of all stakeholders by introducing innovations that showcase human intelligence over AI or partnership with AI.","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140166167","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}

引用次数: 0

Student perspectives on the use of generative artificial intelligence technologies in higher education 学生对在高等教育中使用生成式人工智能技术的看法

IF 4.6

International Journal for Educational Integrity Pub Date : 2024-02-08 DOI: 10.1007/s40979-024-00149-4

Heather Johnston, Rebecca F. Wells, Elizabeth M. Shanks, Timothy Boey, Bryony N. Parsons

{"title":"Student perspectives on the use of generative artificial intelligence technologies in higher education","authors":"Heather Johnston, Rebecca F. Wells, Elizabeth M. Shanks, Timothy Boey, Bryony N. Parsons","doi":"10.1007/s40979-024-00149-4","DOIUrl":"https://doi.org/10.1007/s40979-024-00149-4","url":null,"abstract":"<p> The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted through focus groups. A total of 2555 students participated in the survey. Results showed that only 7% of students who responded had not heard of any GAI technologies, whilst over half had used or considered using these for academic purposes. The majority of students (54.1%) were supportive or somewhat supportive of using tools such as Grammarly, but 70.4% were unsupportive or somewhat unsupportive towards students using tools such as ChatGPT to write their whole essay. Students who had higher levels of confidence in their academic writing were less likely to use or consider using them for academic purposes, and were also less likely to be supportive of other students using them. Most students (41.1%) also thought there should be a university wide policy on when these technologies are or are not appropriate to use. The results of this research suggest that students require clear policies on the use of GAI and that these technologies should not be banned from university, but consideration must be made to ensure different groups of students have equal access to the technologies.</p>","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139767152","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}

引用次数: 0

University ‘Pay-for-grades’: the bait and switch search engine optimization strategies of contract cheating websites in the United States 大学 "付费评级"：美国合同作弊网站的诱饵和转换搜索引擎优化策略

IF 4.6

International Journal for Educational Integrity Pub Date : 2024-01-25 DOI: 10.1007/s40979-023-00148-x

Timothy M. Daly, James C. Ryan

{"title":"University ‘Pay-for-grades’: the bait and switch search engine optimization strategies of contract cheating websites in the United States","authors":"Timothy M. Daly, James C. Ryan","doi":"10.1007/s40979-023-00148-x","DOIUrl":"https://doi.org/10.1007/s40979-023-00148-x","url":null,"abstract":"<p>This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by these companies remains largely unexplored in both academic literature and popular press. Replicating the business research practices used in the search engine optimization industry, comprehensive search engine ranking and traffic data was obtained for the 38 largest contract cheating websites in the US. The overall objective was to illuminate the strategies that these companies take to get their services at the top of the search results of as many students as possible – not just the relatively small proportion of students actively cheating. The results show that these companies dominate the search results for not just students searching to cheat, but also for naïve search efforts, when students are simply doing genuine research or classwork. These nefarious companies use highly sophisticated search engine manipulation strategies to bait naïve student searchers onto their sites, thus enabling the potential to switch them to cheaters. Higher education institutions, armed with the specific details provided in this study, can use the strategies outlined in the discussion to directly and negatively impact on the success of these contract cheating services.</p>","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139587349","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}

引用次数: 0

Testing of detection tools for AI-generated text 测试人工智能生成文本的检测工具

IF 4.6

International Journal for Educational Integrity Pub Date : 2023-12-25 DOI: 10.1007/s40979-023-00146-z

Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba, Tomáš Foltýnek, Jean Guerrero-Dib, Olumide Popoola, Petr Šigut, Lorna Waddington

{"title":"Testing of detection tools for AI-generated text","authors":"Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba, Tomáš Foltýnek, Jean Guerrero-Dib, Olumide Popoola, Petr Šigut, Lorna Waddington","doi":"10.1007/s40979-023-00146-z","DOIUrl":"https://doi.org/10.1007/s40979-023-00146-z","url":null,"abstract":"Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching for solutions to detect such content. The paper examines the general functionality of detection tools for AI-generated text and evaluates them based on accuracy and error type analysis. Specifically, the study seeks to answer research questions about whether existing detection tools can reliably differentiate between human-written text and ChatGPT-generated text, and whether machine translation and content obfuscation techniques affect the detection of AI-generated text. The research covers 12 publicly available tools and two commercial systems (Turnitin and PlagiarismCheck) that are widely used in the academic setting. The researchers conclude that the available detection tools are neither accurate nor reliable and have a main bias towards classifying the output as human-written rather than detecting AI-generated text. Furthermore, content obfuscation techniques significantly worsen the performance of tools. The study makes several significant contributions. First, it summarises up-to-date similar scientific and non-scientific efforts in the field. Second, it presents the result of one of the most comprehensive tests conducted so far, based on a rigorous research methodology, an original document set, and a broad coverage of tools. Third, it discusses the implications and drawbacks of using detection tools for AI-generated text in academic settings.","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139035267","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}

引用次数: 0

A model for preventing academic misconduct: evidence from a large-scale intervention 预防学术不端行为的模式：来自大规模干预的证据

IF 4.6

International Journal for Educational Integrity Pub Date : 2023-12-15 DOI: 10.1007/s40979-023-00147-y

Lyle Benson, Rickard Enstroem

{"title":"A model for preventing academic misconduct: evidence from a large-scale intervention","authors":"Lyle Benson, Rickard Enstroem","doi":"10.1007/s40979-023-00147-y","DOIUrl":"https://doi.org/10.1007/s40979-023-00147-y","url":null,"abstract":"It is well known that students intentionally and unintentionally commit academic misconduct, but how can universities prevent academic misconduct and foster a culture of academic integrity? Based on a literature synthesis, an actionable Model for Preventing Academic Misconduct is presented. The model’s basic premise is that students’ voluntary participation in individual courses or academic integrity modules will have far less impact on preventing academic misconduct than required faculty or university-wide programming in core courses. In validating the model, the steps taken by the School of Business at a Canadian university to prevent academic misconduct are examined. Two online tutorials were created and implemented as required modules in the School of Business introductory core courses. Actual academic misconduct incidents recorded by the University from 2016 to 2021, a three-year pre-intervention period and a two-year post-intervention period partly covering the COVID-19 outbreak, are used to gauge the model’s effectiveness in preventing academic misconduct. The findings are discussed through a Social Learning Theory lens: the high-level implementation gives rise to a culture of academic integrity propelled by the establishment of common knowledge.","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138680089","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}

引用次数: 0

Italian academic system disregards scientific merit in faculty hiring processes 意大利的学术体系在聘用教师的过程中忽视了科学价值

IF 4.6

International Journal for Educational Integrity Pub Date : 2023-12-01 DOI: 10.1007/s40979-023-00145-0

Pasquale Gallina, Francesco Lolli, Oreste Gallo, Berardino Porfirio

{"title":"Italian academic system disregards scientific merit in faculty hiring processes","authors":"Pasquale Gallina, Francesco Lolli, Oreste Gallo, Berardino Porfirio","doi":"10.1007/s40979-023-00145-0","DOIUrl":"https://doi.org/10.1007/s40979-023-00145-0","url":null,"abstract":"Professorships in Italy are assigned following public competitions. However, favouritism affects faculty hiring. Researchers lacking clientelistic support remain excluded from academia and are obliged to seek employment abroad or at non-university institutions, or to abandon their career. Do non-recruited researchers have better or worse scientific capacity than those who have attained professorships in Italy? Files regarding the competitions in bibliometric disciplines won by 186 professors in Florence were analysed. An equal number of professors recruited at other Italian universities and scientists who never attained professorship in Italy were randomly drawn from the pool of individuals having national scientific qualification (the prerequisite for professorship) in the same disciplines as each Florentine professor. H-indexes of the year of qualification (T1), of the Florence call (T2), and in July 2021 (T3) were obtained from Scopus. Non-recruited individuals were more likely (Chi-square test) to show a higher H-index than both Florentine (T1 p = 0.0005, T2 p = 0.0015, T3 p = 0.0095) and non-Florentine professors (T1 p = 0.0078, T2 p = 0.0245, T3 p = 0.0500). Fifty-four non-recruited scientists serve in foreign universities, 100 at national/international research centres. The remaining scientists (25 who continue producing despite precarious employment, and seven who have stopped publishing) were as likely as Florentine (T3 p = 0.69) and non-Florentine (T3 p = 0.14) professors to show a higher H-index. Italian faculty hiring disregards merit. A more challenging qualification would limit the access of researchers with lower scientific capacity, and favour those with greater proficiency. As it stands, competition is useless. Once professors obtain permanent employment, they seem less motivated to publish.","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520520","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}

引用次数: 0

“Out of my control”: science undergraduates report mental health concerns and inconsistent conditions when using remote proctoring software “我无法控制”:理科生在使用远程监控软件时报告了心理健康问题和不一致的情况

International Journal for Educational Integrity Pub Date : 2023-11-15 DOI: 10.1007/s40979-023-00141-4

Annika Pokorny, Cissy J. Ballen, Abby Grace Drake, Emily P. Driessen, Sheritta Fagbodun, Brian Gibbens, Jeremiah A. Henning, Sophie J. McCoy, Seth K. Thompson, Charles G. Willis, A. Kelly Lane

{"title":"“Out of my control”: science undergraduates report mental health concerns and inconsistent conditions when using remote proctoring software","authors":"Annika Pokorny, Cissy J. Ballen, Abby Grace Drake, Emily P. Driessen, Sheritta Fagbodun, Brian Gibbens, Jeremiah A. Henning, Sophie J. McCoy, Seth K. Thompson, Charles G. Willis, A. Kelly Lane","doi":"10.1007/s40979-023-00141-4","DOIUrl":"https://doi.org/10.1007/s40979-023-00141-4","url":null,"abstract":"Abstract Efforts to discourage academic misconduct in online learning environments frequently include the use of remote proctoring services. While these services are relatively commonplace in undergraduate science courses, there are open questions about students’ remote assessment environments and their concerns related to remote proctoring services. Using a survey distributed to 11 undergraduate science courses engaging in remote instruction at three American, public, research-focused institutions during the spring of 2021, we found that the majority of undergraduate students reported testing in suboptimal environments. Students’ concerns about remote proctoring services were closely tied to technological difficulties, fear of being wrongfully accused of cheating, and negative impacts on mental health. Our results suggest that remote proctoring services can create and perpetuate inequitable assessment environments for students, and additional research is required to understand the efficacy of their intended purpose to prevent cheating. We also advocate for continued conversations about the broader social and institutional conditions that can pressure students into cheating. While changes to academic culture are difficult, these conversations are necessary for higher education to remain relevant in an increasingly technological world.","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136229385","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}

引用次数: 0

The temptation to cheat in online exams: moving beyond the binary discourse of cheating and not cheating 在线考试作弊的诱惑:超越作弊和不作弊的二元话语

International Journal for Educational Integrity Pub Date : 2023-11-01 DOI: 10.1007/s40979-023-00143-2

Michael Henderson, Jennifer Chung, Rebecca Awdry, Cliff Ashford, Mike Bryant, Matthew Mundy, Kris Ryan

{"title":"The temptation to cheat in online exams: moving beyond the binary discourse of cheating and not cheating","authors":"Michael Henderson, Jennifer Chung, Rebecca Awdry, Cliff Ashford, Mike Bryant, Matthew Mundy, Kris Ryan","doi":"10.1007/s40979-023-00143-2","DOIUrl":"https://doi.org/10.1007/s40979-023-00143-2","url":null,"abstract":"Abstract Discussions around assessment integrity often focus on the exam conditions and the motivations and values of those who cheated in comparison with those who did not. We argue that discourse needs to move away from a binary representation of cheating. Instead, we propose that the conversation may be more productive and more impactful by focusing on those who do not cheat, but who are tempted to do so. We conceptualise this group as being at risk of future cheating behaviour and potentially more receptive of targeted strategies to support their integrity decisions. In this paper we report on a large-scale survey of university students ( n = 7,511) who had just completed one or more end of semester online exams. In doing so we explore students’ reported temptation to cheat. Analysis surrounding this “at risk” group reveals students who were Tempted ( n = 1379) had significant differences from those who Cheated ( n = 216) as well as those who were Not tempted ( n = 5916). We focus on four research questions exploring whether there are specific online exam conditions, security settings, student attitudes or perceptions which are more strongly associated with the temptation to cheat. The paper offers insights to help institutions to minimise factors that might lead to breaches of assessment integrity, by focusing on the temptation to cheat during assessment.","PeriodicalId":44838,"journal":{"name":"International Journal for Educational Integrity","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135161823","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}

引用次数: 1

Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks 将人工智能与现有的预防框架联系起来，促进了学术不端行为

International Journal for Educational Integrity Pub Date : 2023-10-15 DOI: 10.1007/s40979-023-00142-3

Daniel Birks, Joseph Clare

引用次数: 1