Showing 181 - 200 results of 1,111 for search 'student’s rating', query time: 0.07s Refine Results
  1. 181

    A potential exodus: what is behind dropping out intentions among university students? by Dora Herrera, Lennia Matos, Rafael Gargurevich, Marjhori Gómez, Benjamín Lira, Cecilia Ferreyra

    Published 2025-01-01
    “…IntroductionThe alarming dropout rates among university students in Peru deplete the country’s human resources and reduce prospects for personal growth and societal development. …”
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    Article
  2. 182

    Determining the Factors of Social Phobia Levels of University Students: A Logistic Regression Analysis by Hamit Ozen

    Published 2016-01-01
    “…In respect to Odds rates, the most crucial factor about PEF of students is the time spent daily on the internet. …”
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  3. 183

    Athletic identity and its relationship to moral values among physical education university students by L. M. Obeidat, H. I. Momani, T. T. Ammari, M. A. Rababah

    Published 2022-03-01
    “…The results revealed that the level of athletic identity among students was rated high with statistically significant differences in favour of males. …”
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  4. 184

    Fear of Missing Out among University Students: A Cross-sectional Survey Study by Anish Phuyal, Akanksha Saxena, Shivani Grover, Mandeep Kumar Jangra

    Published 2024-12-01
    “…Results: Three hundred and twenty-three students (190 female and 132 male) responded out of 609 for a response rate of 53.03%. …”
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  5. 185
  6. 186

    Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

    Published 2025-02-01
    “…Evaluation metrics, including the detection rate of psychological issues and the detection rate of no psychological issues, confirmed the model’s high accuracy.DiscussionThis study demonstrates the potential of AI-powered predictive models for early identification of students at risk of mental health challenges. …”
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    Article
  7. 187

    Prevalence of depression and stress among the first year students in Suranaree University of Technology, Thailand by Areerat Siripongpan, Karunpong Phattaramarut, Niwatchai Namvichaisirikul, Settawit Poochaya, Paramate Horkaew

    Published 2022-05-01
    “…The online, self-report questionnaire was used as a research instrument to collect data from the sample of SUT first-year students. The total number of first-year students at SUT was 3,552 and the response rate was 65.15%. …”
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    Article
  8. 188

    Dropping out of higher education: Analysis of variables that characterise students who interrupt their studies by María Olga González-Morales, David López-Aguilar, Pedro Ricardo Álvarez-Pérez, Pedro Antonio Toledo-Delgado

    Published 2025-02-01
    “…One of the persistent problems faced by the university education system is the dropout rate. The main aim of this research was to identify the profile characteristics of those students who drop out of their studies, seeking in-depth knowledge of the reality behind the issue. …”
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  9. 189

    Investigation of high school students’ social emotional learning skills and social media use by Harun Şahin, Meriç Eraslan, Muhammed Ali Özkan

    Published 2025-01-01
    “…The current study aims to examine the association between high school students’ social–emotional learning (SEL) skills and their use of social media, as well as to explore potential variations based on certain variables. …”
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  10. 190

    MATHEMATICS AND ENTRANCE EXAM RESULTS AS INDICATORS OF ACADEMIC SUCCESS AMONG CIVIL ENGINEERING STUDENTS by Ljubiša Preradović, Miroslav Malinović

    Published 2024-12-01
    “…The goals of the research were to analyze the success achieved during secondary education among SP CE students over the 12-year period, to research the success of students depending on the type of secondary school completed, qualification exam results, study status, passed mathematics courses that students study during the first academic year and to examine the possibility of using more advanced techniques for predicting the completion of studies…”
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  11. 191

    Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

    Published 2024
    “…The results showed that the use of decision trees can effectively classify students' performance and determine the success and failure rates. …”
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    Article
  12. 192

    Higher Perceived Stress Increases the Subjective Reporting of ADHD: A Sample of Medical Students by Gülsüm Akdeniz, Elif Akçay, Gulsen Yilmaz, Pınar Özışık

    Published 2023-06-01
    “…This study aimed to evaluate the subjective Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms with self-reported ratings and objective neurocognitive tests among medical students. …”
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  13. 193

    The Effect of Using Fluorescent Concretization Intervention on Hand Hygiene Training in Primary School Students by Cevriye Yüksel Kaçan, Hülya Yılmaz

    Published 2024-12-01
    “…Introduction: Inadequate hand hygiene increases the rates of childhood infectious diseases and deaths, leading to the death of one child per minute.Aim: The aim of the study was to examine the effects of the program in which fluorescent embodiment intervention was used as an educational strategy on the hand washing skills of primary school students.Method: Single center randomized controlled trial using a pretest and posttest design was conducted with 35 intervention and 35 control participants. …”
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  14. 194

    Emotional responses of college students to filtered fluorescent lighting in a classroom (v3) by Hon K. Yuen, Anna L. Wood, Jane E. Krentel, Robert A. Oster, Anthony D. Cunningham, Gavin R. Jenkins

    Published 2023-02-01
    “…Each phase lasted for at least 2 weeks. During each phase, students rated 18 pairs of words from the Mehrabian and Russell pleasure, arousal, and dominance semantic differential scale at least four times to assess the emotional impact of the lighting conditions…”
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  15. 195

    Frequency of Alcohol Use among Year 1 University Students and Its Affecting Factors by Sevinç Sütlü, Firdevs Savi Çakar

    Published 2024-12-01
    “…Multi-stakeholder studies should be carried out involving university students who are in the age group with the highest usage rate.…”
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  16. 196

    Occupational Therapy Students’ Perceptions of the Role of Robots in the Care for Older People Living in the Community by Sławomir Tobis, Mirosława Cylkowska-Nowak, Katarzyna Wieczorowska-Tobis, Mariola Pawlaczyk, Aleksandra Suwalska

    Published 2017-01-01
    “…The aim of the study was to investigate opinions of occupational therapy students (OTS), as future professional caregivers, on the use of robots in care for older people. …”
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  17. 197

    Assessing Professionalism among First Year Medical Students through Professionalism Assessment Tool by Nabiha Farasat Khan, Muhammad Saeed, Ruksana Majid

    Published 2024-01-01
    “…Results: Twenty four out of 200 students were consistently absent at the time of data collection (99% response rate). …”
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  18. 198

    Academic and recreational reading attitudes among primary students in a rural Malaysian village by Astri Yulia, R. Malatesha Joshi, Nor Azilah Husin, Na~Thinamalar Magiswary Nadarajan, Norhayati Mohd Zin, Cheli Nadarajan

    Published 2024-06-01
    “…This study explores the attitudes of 4th and 5th graders towards recreational and academic reading in a rural Malaysian village, assessing students who participated in a reading program. Utilizing the Elementary Reading Attitude Survey, data were gathered from 74 of the 120 participants, achieving a 62% response rate. …”
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  19. 199
  20. 200

    Predictors of Medical Students’ Adoption of Emergency Medicine Virtual Simulation Platforms by Lingjiao Tang, Yu Ning, Hui Lv, Xuebin Li, Aihe Tang

    Published 2025-01-01
    “…However, the completion and pass rates are low. The aim of this study is to explore the factors influencing medical students’ adoption of intelligent virtual simulation platforms in China via Technology Acceptance Model 3. …”
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