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39 results for “Students' experiences”

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zenodo44/100

Dataset: Economical Accommodations for Neurodivergent Students in Software Engineering Education: Experiences from an Intervention in Four Undergraduate Courses

<p>This dataset contains anonymised raw data and examples of accommodations made for neurodiverse students in four undergraduate courses in Computer Science and Software Engineering programmes. The dataset is published as a part of a book chapter in which we report the accommodations.</p> <p>Overall guidelines we followed, including their sources, are contained in <strong>guidelines.md.</strong></p> <p>The raw data for the two surveys is contained in the two Excel files&nbsp;<strong>survey1.xlsx</strong> and&nbsp;<strong>survey2.xlsx</strong>. Free-text answers have been aggregated by neurodiverse and neurotypical students and anonymised, and are available in the files<strong>&nbsp;survey1_freetext_neurodiverse.txt,&nbsp;survey1_freetext_neurotypical.txt,&nbsp;survey2_freetext_neurodiverse.txt, </strong>and<strong> survey2_freetext_neurotypical.txt.</strong></p> <p>The remaining files are examples of the adapted lecture slides and assignment texts. Here, files starting with WEBcourse are from a mandatory undergraduate course on web development, while files starting with SEcourse are from a mandatory undergraduate course giving an overview of Software Engineering.</p>

opencc-by-4.0Oct 2022View details →
zenodo44/100

Experience of COVID-19 disease and fear of the SARS-CoV-2 virus among Polish students

<p>The deposited files contain a database related to the study of the fear of COVID-19 among Polish students and a code book. It is connected with the article titled&nbsp;<em>Experience of COVID-19 disease and fear of the SARS-CoV-2 virus among Polish students</em></p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Data - Teaching and Learning of Introduction to Software Engineering Experimentation to Distance-Learning Students: a Quasi-Experiment

<p>Data from a quasi-experiment on "Teaching and Learning of Introduction to Software Engineering Experimentation to Distance-Learning Students: a Quasi-Experiment"</p> <p>&nbsp;</p> <p>Funded by Conselho Nacional de Desenvolvimento Cient&iacute;fico e Tecnol&oacute;gico (CNPq) 311503/2022-5</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Research Scholars Workshop: The Student Research Experience

<p>In this session, we will hear from active undergraduate researchers, starting with brief &quot;brown bag&quot; presentations. Next, we&#39;ll have a panel discussion on the benefits and barriers of undergraduate research, lived experiences, and more. While the moderators will have guiding questions prepared, the panel will also field questions from the workshop participants.&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Dataset - Assessing the Students' Understanding and their Mistakes in Code Review Checklists -An Experience Report of 1,791 Code Review Checklists Questions from 394 Students

<p>This is the assignment specification and artifacts related to the paper &quot;Assessing the Students&#39; Understanding and their Mistakes in Code Review Checklists&nbsp;-An Experience Report of 1,791 Code Review Checklists Questions from 394 Students&quot;, ICSE-JSEET 2021.</p>

opencc-by-4.0Jan 2021View details →
zenodo36/100

Undergraduate Students' Perceptions and Experiences in Learning Statistics

<p>This dataset is an online survey participated voluntarily by undergraduate students in 2021 at the University of Hargeisa. The main variables included were sociodemographic variables, students' perceptions of statistics, challenges faced by students in learning statistics, engagement with statistics by students, and finally (but not least) students' performance in statistics.</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Data set from the design of experiment assessment rubric, from university students / future teachers

<p>Using an assessment rubric comprising three levels of success, we evaluated six aspects of designing an experiment, which we call dimensions. This way, specific challenges were identified in two of the dimensions: forming a hypothesis and manipulating the experimental variables, where students often failed to succeed and get lower scores.</p> <p>The data presented here were collected from four (4) diagnostic worksheets, which were made available to students at the beginning of the semester, where a theoretical introduction to the course is given, with reference to learning theories and their use in the teaching of Physics. Therefore, data were collected prior to discussions about the inquiry-based approach, experimental investigations, and the scientific content, such as the concepts and phenomena mentioned in the worksheets.&nbsp;</p> <p>For the present study, we slightly modified and used a rubric that has been proposed to assess the DoE by primary and secondary school students (Lefkos et al., 2011). The modified rubric, has already been tested in a pilot study with fruitful results (Lefkos, 2024).</p> <p>Lefkos, I. (2024). An Assessment Rubric for Future Teachers&rsquo; Ability to Design Experiments. In C. Fazio &amp; P. Logman (Eds.), <em>Challenges in Physics Education</em> (pp. 105&ndash;117). Springer. https://doi.org/10.1007/978-3-031-48667-8_7</p> <p>Lefkos, I., Psillos, D., &amp; Hatzikraniotis, E. (2011). Designing experiments on thermal interactions by secondary-school students in a simulated laboratory environment. <em>Research in Science &amp; Technological Education</em>, <em>29</em>(2), 189&ndash;204. https://doi.org/10.1080/02635143.2010.533266</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Japanese International Student-Athletes' Adjustment Experience at the National Collegiate Athletic Association

<p>This data is the interview guide that was conducted in this article. The purpose of this study is to clarify the challenges for ISAs from Japan in adjusting to the United States&rsquo; universities. Situating in the ISA adjustment model and using a unique case study design, 13 Japanese ISAs at the NCAA Division I universities were interviewed, and data were coded by a continuous comparative analysis method.&nbsp;</p> <p>The results revealed that Japanese ISAs who participated in this study faced academic, social, athletic, personal-emotional, and institutional adjustment challenges. Particularly, Japanese ISAs differed from ISAs from other countries in several points; cultural differences, differences in communication styles, and systemic differences in academia and athletics between Japan and the US.<br> All datasets underlying the results cannot be sufficiently de-identified by redaction for uploading to a general data repository due to the sample size and nature of the conversations. Thus, the datasets are not available to share for ethical and privacy considerations as well as the guarantee given to the interviewees to maintain the anonymity of the interview. A reader or reviewer may apply for access to the datasets by contacting the corresponding author (matsuo. hirokazu.ga@u.tsukuba.ac.jp) directly. The access will be available upon considering the request and permission<br> received from the interviewees. The row datasets are in Japanese.</p>

opencc-by-4.0Nov 2022View details →
dryad32/100

Data from: What influence do courses at medical school and personal experience have on interest in practicing family medicine? – results of a student survey in Hessia

Aim: Against the background of an impending shortage of family practitioners, it is important to investigate the factors influencing the choice to become one. The aim of this study was to identify factors that encourage medical students to choose to practice family medicine. Method: Using a questionnaire, students in the fourth and fifth years of their studies in the Federal State of Hesse were asked about the factors that had influenced their choice of medical specialty and their experience of courses in family medicine. Predictors of an interest in practicing family medicine were calculated using multiple logistic regression. Results: 361 questionnaires were returned, representing a response rate of 70.9%. Confirmation of personal strengths, an interest in the field, and practical experience of the subject generally turned out to be important factors influencing the choice of medical specialty. 49.3% of students expressed an interest in practicing family medicine. A link existed between an interest in working as a family doctor and the opportunity to take over an existing practice, experience of medicine in rural areas, and an appreciation of the conditions of work. With regard to education at medical school, positive experiences during a clinical traineeship in family medicine and positive role models among teachers of general practice were identified as predictors. Conclusion: Almost half the medical students were open to the idea of practicing family medicine. Experience of medicine in rural areas and positive experiences of courses in general practice were linked to an increased interest in working as a family doctor. To promote this interest, it may be a promising approach to increase opportunities to collect experience of medicine in rural areas, and to encourage highly motivated teaching practices.

opencc-zeroDec 2018View details →
zenodo32/100

Additional Material for: Debiasing Architectural Decision-Making: An Experiment With Students and Practitioners

<p>Additional Material for: Debiasing Architectural Decision-Making: An Experiment With Students and Practitioners submitted to ICSA 2025.<br><br>The files contain:<br>1. README.md - A short file describing the contents of the replication package.<br>2. Coding guide.docx - a guide used for coding, with examples from the experiment's participants.<br>3. Coding_results.xlsx - data with all measurements for all participants.<br>4. Questionnaire.xlsx - questionnaire used to gather demographic participant's data.<br>5. Experiment-plan.docx - the detailed plan of all the experiment steps.<br>6. Debiasing-workshop-slides.pptx - slides used during the debiasing workshop.<br>7. Debiasing-workshop-plan.docx - a detailed plan of the debiasing workshop, explaining how exactly the debiasing presentation should be used.<br>8. Consent_form.docx - a consent form that was signed by the participants from one of the author's countries, where guidelines suggested the use of gathering additional written consent.<br><br></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Social Media use on 1st-year Students' Experiences and Well-being: Dataset and Questionnaire

<p>This is the SPSS dataset and the questionnaire which supported a project on Social Media use on 1st-year Students&rsquo; Experiences and Well-being. The questionnaire has been guided by the four key elements of collecting information about the students' diverse backgrounds, social media use, support experience and mental well-being. Respective validated scales are included in the survey to assess students' support experience and&nbsp;well-being.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

A 10-day experience sampling dataset on subjective experiences of middle and secondary school students in 2022

<p>This data note presents a dataset from a 10-day experience sampling study conducted among middle and secondary school students in 2022. The dataset includes a brief start-up survey in addition to 40 momentary assessments, enabling analysis of both inter- and intraindividual processes. The start-up survey includes validated measures on students&rsquo; perceptions of school-related support from family, peers, and teachers, general self-efficacy, and academic self-efficacy, as well as items on school enjoyment and school absenteeism. The experience sampling data includes items related to positive and negative emotions, lecture characteristics, perceived teacher style, peer relationships as well as sleep quality, breakfast, school readiness, and school day satisfaction. Data were collected using the "RealLife Exp" mobile app. Multiple procedures were undertaken to validate and confirm the reliability of the dataset. The methodological approach utilized for gathering the data featured in this dataset allows for a nuanced analysis of individual and contextual influences along with lagged effects on school well-being, with the potential to discover previously overlooked patterns and trends.</p>

opencc-by-4.0Sep 2024View details →
ClinicalTrials.gov32/100

Gaming Experience and Learning Motivation of Students in Psychiatric Nursing Courses

ClinicalTrials.gov study NCT06850181. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Pain in Pediatric Dentistry - a Grounded Theory Study on the Experiences of Dental Professionals and Students

ClinicalTrials.gov study NCT04643951. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Experience and Health Impact of University Students Accessing a Digital Nutrition, Fitness and Mindfulness Platform

ClinicalTrials.gov study NCT03579264. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: What influence do courses at medical school and personal experience have on interest in practicing family medicine? – results of a student survey in Hessia

Open the record for dataset details and reuse information.

publicFeb 2019View details →
zenodo28/100

The Experience of Hope Among Italian Undergraduate Students

<p>This dataset contains qualitative answers on the relational, affective and behavioural features of hope within a sample of Italian university students. It taps into the whole spectrum of the experience of hope, including fulfilled hopes, present hopes, and lost hopes.</p>

opencc-by-4.0Mar 2020View details →
zenodo28/100

Gameful experience and student engagement: A Comparative Study of Role-Playing and Puzzle Games in Higher Education

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

FOREIGN EXPERIENCES OF TEACHING ANATOMY TO MEDICAL STUDENTS.

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

FORMATION OF NEW TYPES OF COMPETENCIES IN THE INNOVATIVE LEARNING CIRCUIT OF STUDENTS WITH A RADICAL UPDATE OF THE CONTENT AND TEACHING METHODS BY INCORPORATING ADVANCED SCIENTIFIC AND PEDAGOGICAL EXPERIENCE.

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record