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152
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ShareScore release 0.9.0
Dataset results
152 results for “Undergraduates”
Effects of Physical Activity on Quality of Life Among Female Undergraduate Students
ClinicalTrials.gov study NCT04941014. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Implementing OSCE in Team Based Learning Format for Teaching Clinical Skills to Undergraduate Medical Students
ClinicalTrials.gov study NCT06068062. IPD Sharing: NO. Countries: 1. Publications: 0.
Therapy for Undergraduate College Students Who Binge Drink and Are Depressed
ClinicalTrials.gov study NCT01632319. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Online Education Intervention to Reduce Ageism Among Undergraduate Students
ClinicalTrials.gov study NCT04570917. IPD Sharing: YES. Countries: 1. Publications: 0.
PHYSICAL ACTIVITY AS COPING STRATEGY FOR ACADEMIC STRESS AMONG UNDERGRADUATE FEMALE COLLEGIATE STUDENT
ClinicalTrials.gov study NCT04221022. IPD Sharing: YES. Countries: 1. Publications: 0.
Integrating Design Thinking Into Undergraduate Nursing Education
ClinicalTrials.gov study NCT06673316. IPD Sharing: NO. Countries: 1. Publications: 0.
Improving Undergraduate Students' Self-efficacy and Attitude by Art Work
ClinicalTrials.gov study NCT05868031. IPD Sharing: NO. Countries: 1. Publications: 0.
Knowledge, Attitude and Practice Among Undergraduate Dental Students, Cairo University Towards Ergonomics
ClinicalTrials.gov study NCT04237051. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Effects of Standing Tutorials on Problem-Based Learning (PBL) Among Undergraduate Students
ClinicalTrials.gov study NCT03493659. IPD Sharing: YES. Countries: 1. Publications: 0.
Effect of Cinematic Simulation on Emotions, Resilience, and Empathy Among Undergraduate Nursing Students
ClinicalTrials.gov study NCT05728164. IPD Sharing: NO. Countries: 1. Publications: 0.
Effectiveness of Interprofessional Learning and Simulation on Healthy Aging in Undergraduate Medical and Nursing Program
ClinicalTrials.gov study NCT03914040. IPD Sharing: NO. Countries: 1. Publications: 0.
Anxiety, Depression and Substance Use in Undergraduate Health Science Students During the Covid-19 Pandemic.
ClinicalTrials.gov study NCT05075629. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Somatic Symptoms and Depression in Undergraduate Physiotherapy Students: A Community-Based Cross-Sectional Study
ClinicalTrials.gov study NCT07066787. IPD Sharing: NO. Countries: 1. Publications: 0.
Sleep Hygiene Intervention on Undergraduate Students' Sleep and Stress
ClinicalTrials.gov study NCT05933746. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Empathy Levels Among Undergraduate Medical Students in Karachi, Pakistan - a Cross-sectional Study
ClinicalTrials.gov study NCT05736276. IPD Sharing: NO. Countries: 1. Publications: 0.
Pilot of Reconnecting to Internal Sensations and Experiences in Undergraduates
ClinicalTrials.gov study NCT05285111. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Impacts of Physical Activity on Mental Health and Perceived Stress Among Undergraduate Medical Students in Pakistan
ClinicalTrials.gov study NCT06778889. IPD Sharing: YES. Countries: 1. Publications: 0.
Qualification and teaching of peer-student tutors in undergraduate medical education: Does it affect the understanding and acquiring of CanMEDS competencies?
Open the record for dataset details and reuse information.
Maps and AI: a lab to support undergraduates' argumentative skills
<p>Argumentative abilities are required both individually and professionally to digest complex information (CoI) related to the critical reconstruction of meaning (critical thinking - CT). This is still a particularly important objective, especially in the age of social media and artificial intelligence-mediated information. Recently, the advent of the generative artificial intelligence (GenAI), with the specific example of ChatGPT (OpenAI, 2022), has made it easier to obtain and share knowledge, and new tools are sorely needed to deal with the abundance of post-digital information without getting lost.</p> <p>The research activity aimed to investigate the extent to which AMs, already used to develop argumentative skills and critical thinking, helped students increase their level of comprehension of multimodal information and their ability to rework their own opinion about it. Juxtaposed to this line of thinking was the idea of adopting the ChatGPT intelligent chatbot to extrapolate and analyze whether an initial communicative and argumentative interaction with an intelligent agent would help students reframe their arguments. </p> <p>Our study was based on a two-group quasi-experiment with 24 students in the Education Evaluation teaching, from the Bachelor of Science in Education and Training, Education and Human Resource Development curriculum, University of Padua (L-19). The control group (G1) conducted the information comprehension and reprocessing course in an analogue context, and the experimental group (G2) was exposed to multimodality with texts and tutorials bearing dynamic and digital elements. Both groups then interacted with ChatGPT, integrated within an interactive lecture in the middle of the course. </p> <p>Preliminary analyses showed that in both groups, AMs improved students' text comprehension and critical thinking. The group that used analog texts (G1) showed more uniform improvement than the group with multimodal texts (G2), which had greater variability in results. However, multimodality stimulated deeper and more integrative reflection. The use of ChatGPT showed potential to improve information reprocessing, with students recognizing the usefulness of AI and taking a critical approach to its interaction. Future research will aim to better integrate these tools to maximize learning.</p> <p>This Zenodo record follows the full analysis process with R (https://cran.r-project.org/bin/windows/base/ ) composed of the following datasets and script:</p> <p>1. Comprehension of Text and AMs Results - Arg_G1.xlsx & Arg_G2.xlsx</p> <p>2. Opinion and Critical Thinking level - Opi_G1.xlsx & Opi_G2.xlsx</p> <p>3. Data for Correlation and Regression - CorRegr_G1.xlsx & CorRegr_G2.xlsx</p> <p>4. Descriptive and Inferential Statistics Comprehension and AMs Building - Comprehension&AM_VAL.R</p> <p>5. Descriptive and Inferential Statistics Opinion and Critical Thinking level - Opinion&CriticalThinking_VAL.R</p> <p>6. Correlation and Regression - Analysis_VAL.R</p> <p> </p> <p>Any comments or improvements are welcome!</p>
Argumentative Skills in Higher Education: a national survey between italian undergraduates
<p>A survey was conducted on the argumentative skills of Italian university students through a survey. The survey aimed to assess text comprehension and the ability to reframe personal thought, and used a structured questionnaire to collect data from a representative sample of students from various Italian universities. The survey was organized on a Google Sites platform and included three thematic tracks: "Ethics and Research," "Us and AIs," and "Technology and Childhood." </p> <p>Results showed that students had difficulty recognizing elements such as "problem" and "thesis" but fared better with supporting arguments and counter-arguments. The average scores were moderate for both text comprehension (3.64 out of 7) and critical thinking (5.58 out of 10). </p> <p>The analysis found that the ability to use factual evidence is critical to overall performance. This suggests the need to improve students' training in analysis and argumentation skills by promoting continued practice of argumentative and critical thinking exercises for greater academic and professional success.</p> <p>This Zenodo record follows the full analysis process with R (https://cran.r-project.org/bin/windows/base/) and Nvivo (https://lumivero.com/products/nvivo/) composed of the following datasets, script and results:</p> <p>1. Comprehension of Text and Opinion - Arg_Skills.xlsx</p> <p>2. Descriptive and Inferential Statistics Argumentative Skills - Analysis_Arg_Skills.R</p> <p> </p> <p>Any comments or improvements are welcome!</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.