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2,611 results for “Student”
Excel data of the 106 Tunisian post-graduate dental students
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Social competence and behavioural problem in self and parental assessment among Polish, Spanish, and Norwegian primary school students
<p>Dataset of article: Laudańska-Krzemińska, I., Banaszak, E., Lubczyńska, A., Muller, S., Romera, E., Antypas, K., Luque González, R., Wiza, A. Social competence and behavioural problem in self and parental assessment among Polish, Spanish, and Norwegian primary school students</p> <p> </p>
Students' Interest and Academic Performance Datasets
<p>The data are on 'Interest in Simulation and Modelling', 'Performance in Simulation and Modelling', 'Interest in Probability and Statistics', 'Performance in Probability and Statistics', 'Interest in Data Analysis', 'Performance in Data Analysis', 'Interest in Statistical Computing' and 'Performance in Statistical Computing'.</p>
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’ 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 well-being. </p> <p> </p>
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’ 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>
Dataset of students' watching video record
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Enhancing Student Academic Performance Through The Implementation of Dynamic Gamification in Educational Settings
<p><span>Dynamic gamification is a gamification strategy that uses features and game mechanics that are flexible and adaptive to engage users in a variety of tasks. Dynamic gamification, in contrast to traditional gamification, allows for real-time modification of game features in response to user behavior or other circumstances. This study aims to show whether incorporating dynamic gamification enhances students' academic achievement. Numerous factors, such as motivation, learning engagement, academic achievement, relevance, confidence, and satisfaction, will be tested in order to advance the objectives of this study. In this research, a non-probability purposive sampling strategy was used. </span><span>An online questionnaire is distributed from March 23 until May 2, 2024 which featured 477 participants from all around Indonesia. However, only 400 respondents are considered valid, as the respondents must either comprehend the concept of gamification or have prior experience using gamification. The results stated that ten out of ten hypotheses had significant effect.<span> </span><span> </span></span></p>
Do AI assistants help students write formal specifications? A study with ChatGPT and the B-Method
<p>Replication package of the paper: "Do AI assistants help students write formal specifications? A study with ChatGPT and the B-Method." <br>Submitted to the 37th edition of the IEEE Conference on Software Engineering Education and Training (CSEE&T), co-located with ICSE 2025. </p>
Evaluating the Impact of Education on Sustainability Knowledge, Attitudes, and Intentions Among University Students
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Dataset for the paper "Social support and avoidance explain positive and negative effects of emotion recognition ability on well-being in medical students"
<p>Full reference of the paprer TBD</p>
Introduction to the TOPS SCHOOL Project: NLU Fall 2024 Student Cohort
<p>In this video, Juan Martinez and Kytt MacManus give an overview of the TOPS SCHOOL project to the fall 2024 NLU student cohort. They provide an overview of the project, <a href="https://ciesin-geospatial.github.io/TOPSTSCHOOL/" target="_blank" rel="noopener">website</a>, <a href="https://github.com/ciesin-geospatial/TOPSTSCHOOL" target="_blank" rel="noopener">GitHub</a>, and tasks. You can watch the video below or find a link in the 'Additional details' section.</p>
A comprehensive descriptive analysis : Assessing the guidance and counseling needs through cognitive and non-cognitive development of students in secondary level public schools
<p>This data has been collected from a secondary level public school in Karachi for a descriptive analysis . I</p> <p> </p>
Engaging online students by activating ecological knowledge
<p>The current COVID-19 pandemic has forced the global higher education community to rapidly adapt to partially- or fully-online course offerings. For field- or lab-based courses in ecological curricula, this presents unique challenges. Fortunately, a diverse set of active learning techniques exist, and these techniques translate well to online settings. However, limited guidance and resources exist for developing, implementing, and evaluating active learning assignments that fulfil specific objectives of ecology-focused courses. To address these informational gaps, we (1) identify broad learning objectives across a variety of ecology-focused courses, (2) provide examples, based on our collective online teaching experience, of active learning activities that are relevant to the identified ecological learning objectives, and (3) provide guidelines for successful implementation of active learning assignments in online courses. Using The Wildlife Society's list of online higher education ecology-focused courses as a guide, we obtained syllabi from 45 ecology-focused courses, comprising a total of 321 course-specific learning objectives. We classified all course-specific learning objectives into at least one of five categories: (1) Identification, (2) Application of Concepts/Hypotheses/Theories, (3) Management of Natural Resources, (4) Development of Professional Skills, or (5) Evaluation of Concepts/Practices. We then provided two examples of active learning activities for each of the five categories, along with guidance on their implementation in online settings. We suggest that, when based on sound pedagogy, active learning techniques can enhance the online student's experience by <i>activating</i> ecological knowledge.</p>
COVID-19 anxiety versus well-being - students' sense of support and self-esteem
<p>This study is aimed to evaluate the impact of fear of the COVID-19 pandemic on the quality of life of university students in Poland. An analysis is made of the correlation of various features of the student cohorts with social support and their self-evaluation, in the context of sensing the chances for success in life and satisfaction from studying online.</p> <p>Fighting the pandemic through socioeconomic closure and remote education is imposing a new routine on university students that restricts the activities important in their development and well-being. The research assumption was made that anxiety (N=973) caused by COVID-19 is a personal experience which is socially and culturally regulated. Culturally, the Polish society shows a very high level of distrust towards institutions and people outside private networks (the "social vacuum" syndrome).</p>
Evaluating the educational effectiveness of a structured, simulator-assisted, peer-led training on cardiovascular physical examination in third-year medical students: A randomized, controlled trial
<p class="AbstractCxSpFirst"><span><span><span><span><span><span><span><span><span><span><span><b>Background:</b> Previous research suggests that cardiac examination skills in undergraduate medical students frequently need improvement. There are different ways to enhance physical examination (PE) skills such as simulator-based training or peer-assisted learning (PAL). </span></span></span></span></span></span></span></span></span></span></span></p> <p class="AbstractCxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><b>Aim:</b> The aim of this study was to evaluate the effectiveness of a structured, simulator-assisted, peer-led training on cardiovascular PE.</span></span></span></span></span></span></span></span></span></span></span></p> <p class="AbstractCxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><b>Methods:</b> Participants were third-year medical students at Leipzig University Faculty of Medicine. Students were randomly assigned to an intervention group (IG) and a control group (CG). In addition to standard curricular training, IG received a peer-led, simulator-based training in cardiac PE. Participant performance in cardiac PE was assessed using a standardized checklist with a maximum of 25 points. Primary outcome was assessed via checklist point distribution.</span></span></span></span></span></span></span></span></span></span></span></p> <p class="AbstractCxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><b>Results:</b> 89 students were randomised to either CG (<i>n</i> = 43) or IG (<i>n</i> = 46) with 70 completing the study. Overall, IG students performed significantly better than CG students did (max. points: 25, IG M ± SD in IG was 17 ± 3, in CG 12 ± 4, p < .0001). Simple mistakes such as not using the stethoscope correctly were more frequent in CG students. Prior experience did not lead to a significant difference in performance. </span></span></span></span></span></span></span></span></span></span></span></p> <p class="Abstract"><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions:</b> Structured, peer-led and simulator-assisted teaching sessions improve cardiac PE skills in this setting compared to control students that did not receive this training.</span></span></span></span></span></span></span></span></span></span></span></p>
Competencies of Educational Supervisors as a Support System to Improve Student Well-Being Based Educational Program
<p>Data of individual in-depth interview and focused group discussion</p>
Dataset for: Factors Affecting Willingness and Future Intention to Eat Insects in Students of an Edible Insect Course
<p>Likerted survey results data for: Factors Affecting Willingness and Future Intention to Eat Insects in Students of an Edible Insect Course</p>
Knowledge, attitudes, and practices towards human papillomavirus infection and vaccination: a cross-sectional study among university students in Astana, Kazakhstan. Dataset
<p>Dataset and code book for the study entitled <strong>Knowledge, attitudes, and practices towards human papillomavirus infection and vaccination: a cross-sectional study among university students in Astana, Kazakhstan.</strong></p>
Supplementary files for article "Health and social care professions students' health literacy knowledge: a qualitative exploratory study"
<p>Supplementary file A: Complete list of student-reported definition of health literacy</p> <p>Supplementary file B: Complete list of student-reported signs which suggest inadequate health literacy</p> <p>Supplementary file C: Complete list of student-reported potential consequences of inadequate health literacy</p> <p>Supplementary file D: Complete list of student-reported actions that a health or social care professional can take to help a patient with inadequate health literacy</p>
Understanding the Teamwork Challenges of Software Engineering Students
<p>Developing collaborative skills in students is nontrivial. The fact that students work in teams does not mean they become skilled in teamwork. Students face varied challenges when working in teams that harm their skill development and attitude towards teamwork. To prepare students for the collaboration-intensive workplace, we researched and designed a catalog of challenges present in the teamwork of undergraduate software engineering students on 3-month projects.</p> <p>We created an initial catalog of 10 challenges by examining the literature, surveying 15 teaching assistants, and coding their opinions regarding the problems faced by student teams. Using the catalog, we crafted a survey for students nearing the end of their team project to assess which challenges were present in their teamwork. We surveyed students from multiple contexts, including teams of 3, teams of 4, and teams of 16 students.</p> <p>We analyzed 155 answers to determine the prevalence and intensity of the 10 challenges in student teams. We discuss our findings and best practices for resolving the most prevalent challenges. The catalog and recommendations are directly valuable for software engineering educators and can inform the broader community of collaborative learning researchers and instructional designers.</p>
ScienceDex guides
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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.