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9 results for “academic integrity”
Integrating REBT and ACT : An intervention study for managing academic self-handicapping behaviour among young adults
<p>The data consists of pre and post interventions scores of 25 participants who were selected based on their ratings on Academic self -handicapping scale (Geetika & Gupta, 2020) . Thirteen participants were randomly assigned to the experimental group which was exposed to 8 hours of intervention that combined REBT and ACT. Twelve participants were randomly assigned to the control group and did not receive any intervention. The pre-intervention scores on Academic self -handicapping scale (Geetika & Gupta, 2020) were assessed at the beginning of the intervention and at two weeks since the beginning of the intervention. Sub scale scores on Behavioural and Claimed self -handicapping were recorded and overall score by adding the two were also obtained. </p>
International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
<p>In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention as one factor for creating innovation. In this study, we redefine "framework for identifying researchers' areas of expertise" as "a framework for quantifying intra-individual diversity among researchers. Note that diversity here refers to authorship of articles in multiple research fields. The application of this framework then made it possible to visualize organizational diversity by accumulating the intra-individual diversity of researchers and to discuss the innovation strategy of the organization. The analysis in this study discusses how countries are promoting research on the topics of artificial intelligence (AI), big data, and Internet of Things (IoT) technologies, which are at the core of Industry 4.0, from an innovation perspective. Note that Industry 4.0 is a technological framework that aims to "improve the efficiency of all social systems," "create new industries," and "increase intellectual productivity." For the analysis, we used 19-year bibliographic data (2000–2018) from the top 20 countries in terms of the number of papers in AI, big data, and IoT technologies. As the results, this study classified the styles of cross-disciplinary fusion into four patterns in AI and three patterns in big data. This study did not consider the results in IoT because of only small differences between countries. Furthermore, regional differences in the style of cross-disciplinary fusion were also observed, and the global innovation patterns in Industry 4.0 were classified into seven categories. In Europe and North America, the cross-disciplinary integration style was similar to that between the United States, Germany, the Netherlands, Spain, England, Italy, Canada, and France. In Asia, the cross-disciplinary fusion style was similar between China, Japan, and South Korea.</p>
2023 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the <a href="https://lpnu.ua/en/optima">OPTIMA project</a> from Dec 04 – Dec 31, 2023. Identical surveys were conducted in <a href="https://doi.org/10.5281/zenodo.8067080">2021</a> and <a href="https://doi.org/10.5281/zenodo.8067262">2022</a>.</p> <p>The survey aims to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2023:</strong></p> <ul> <li>National Survey - 4560</li> <li>Lviv Polytechnic National University - 530</li> <li>Sumy State University - 327</li> <li>Vasyl Stus Donetsk National University - 231</li> <li>Lutsk National Technical University - 146</li> </ul>
2022 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the <a href="https://lpnu.ua/en/optima">OPTIMA project</a> from Nov 07 – Dec 04, 2022. An identical survey was <a href="https://doi.org/10.5281/zenodo.8067080">conducted in 2021</a> and a consecutive survey is planned for 2023.</p> <p>The aim of the survey is to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2022:</strong></p> <ul> <li>National Survey - 7727</li> <li>Lviv Polytechnic National University - 1349</li> <li>Sumy State University - 306</li> <li>Vasyl Stus Donetsk National University - 225</li> <li>Lutsk National Technical University - 101</li> </ul>
2021 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the Erasmus+ <a href="https://lpnu.ua/en/optima">OPTIMA project</a> (618940-EPP-1-2020-1-UA-EPPKA2-CBHE-JP) during December 13-30, 2021. Two consecutive surveys will be conducted in 2022 and 2023.</p> <p>The aim of the survey is to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2021:</strong></p> <ul> <li>National Survey - 7987</li> <li>Lviv Polytechnic National University - 754</li> <li>Sumy State University - 257</li> <li>Vasyl Stus Donetsk National University - 125</li> <li>Lutsk National Technical University - 80</li> </ul>
International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
Open the record for dataset details and reuse information.
THE UNDERSTANDING AND IMPORTANCE OF ACADEMIC INTEGRITY IN EDUCATION
Open the record for dataset details and reuse information.
AI Integration in Academic Writing
ClinicalTrials.gov study NCT06732947. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Use and Effectiveness of a Model Integrative Care Clinic in an Academic Hospital: Study 1-Survey
ClinicalTrials.gov study NCT01353560. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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