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Motivation and socialization during summer predict medical students' success: An artificial intelligence study.

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Title: Motivation and socialization during summer predict medical students' success: An artificial intelligence study.
Authors: Pensier, Joris1 pensier.joris@gmail.com, Benoist, Florent1, Deffontis, Lucas2, Boulet, Nicolas3, Al Taweel, Bader4, Costa, David5,6, Deruelle, Philippe7, Capdevielle, Delphine8, De Jong, Audrey1, Morin, Denis9, Chanques, Gérald1
Source: Medical Teacher. Aug2025, Vol. 47 Issue 8, p1326-1335. 10p.
Subject Terms: *Vacations, *Medical education, *Artificial intelligence, *Goal (Psychology), *Motivation (Psychology), *Medical schools, *Achievement tests, *Psychology of medical students, *Machine learning, Success, Cross-sectional method, Prediction models, Seasons, Multiple regression analysis, Loneliness, Descriptive statistics, Multivariate analysis, Surveys, Odds ratio, Confidence intervals, Socialization
Geographic Terms: France
Abstract: Purpose: The latest reform of French medical studies has moved the National Ranking Examination before residency to the beginning of the sixth-year for undergraduate medical students, thus placing unprecedented workload during the preceding summer. The main objective was to determine whether study conditions and psychosocial factors were associated with student success in this model of intense workload. Materials and Methods: An online survey designed with six student-partners was sent at a French Medical School after the examination in 2023. The primary outcome was student success in achieving their main goal (Ranking, Knowledge, Well-being). A machine-learning model (eXtreme Gradient Boosting) was developed and explained using Artificial Intelligence. An AI-guided multivariate logistic regression was performed, Odd Ratios were calculated. Results: Out of 123 responses, 75 (61%) of the students achieved their main goal. Motivation and socialization during the summer were the two most important variables for predicting student success. In guided multivariate logistic regression, summer motivation (Odd Ratio = 4.12, 95%CI[1.75–10.30]), summer loneliness (Odd Ratio = 0.35, 95%CI[0.14–0.86]), and student's main goal (Ranking, Odd Ratio = 2.94, 95%CI[1.15–7.79]) were associated with student success. Conclusions: Motivation and socialization during the summer preceding high-stakes examinations are strongly predictive of undergraduate medical students' success. This study highlights the importance of well-being during summer for student success. [ABSTRACT FROM AUTHOR]
Copyright of Medical Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Motivation and socialization during summer predict medical students' success: An artificial intelligence study.
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  Data: <searchLink fieldCode="AR" term="%22Pensier%2C+Joris%22">Pensier, Joris</searchLink><relatesTo>1</relatesTo><i> pensier.joris@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Benoist%2C+Florent%22">Benoist, Florent</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Deffontis%2C+Lucas%22">Deffontis, Lucas</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Boulet%2C+Nicolas%22">Boulet, Nicolas</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Al+Taweel%2C+Bader%22">Al Taweel, Bader</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Costa%2C+David%22">Costa, David</searchLink><relatesTo>5,6</relatesTo><br /><searchLink fieldCode="AR" term="%22Deruelle%2C+Philippe%22">Deruelle, Philippe</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Capdevielle%2C+Delphine%22">Capdevielle, Delphine</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22De+Jong%2C+Audrey%22">De Jong, Audrey</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Morin%2C+Denis%22">Morin, Denis</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AR" term="%22Chanques%2C+Gérald%22">Chanques, Gérald</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Medical+Teacher%22">Medical Teacher</searchLink>. Aug2025, Vol. 47 Issue 8, p1326-1335. 10p.
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  Data: <searchLink fieldCode="DE" term="%22France%22">France</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: The latest reform of French medical studies has moved the National Ranking Examination before residency to the beginning of the sixth-year for undergraduate medical students, thus placing unprecedented workload during the preceding summer. The main objective was to determine whether study conditions and psychosocial factors were associated with student success in this model of intense workload. Materials and Methods: An online survey designed with six student-partners was sent at a French Medical School after the examination in 2023. The primary outcome was student success in achieving their main goal (Ranking, Knowledge, Well-being). A machine-learning model (eXtreme Gradient Boosting) was developed and explained using Artificial Intelligence. An AI-guided multivariate logistic regression was performed, Odd Ratios were calculated. Results: Out of 123 responses, 75 (61%) of the students achieved their main goal. Motivation and socialization during the summer were the two most important variables for predicting student success. In guided multivariate logistic regression, summer motivation (Odd Ratio = 4.12, 95%CI[1.75–10.30]), summer loneliness (Odd Ratio = 0.35, 95%CI[0.14–0.86]), and student's main goal (Ranking, Odd Ratio = 2.94, 95%CI[1.15–7.79]) were associated with student success. Conclusions: Motivation and socialization during the summer preceding high-stakes examinations are strongly predictive of undergraduate medical students' success. This study highlights the importance of well-being during summer for student success. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Medical Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=186774710
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      – Type: doi
        Value: 10.1080/0142159X.2024.2429614
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Vacations
        Type: general
      – SubjectFull: Medical education
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Goal (Psychology)
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      – SubjectFull: Motivation (Psychology)
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      – SubjectFull: Medical schools
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      – SubjectFull: Achievement tests
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      – SubjectFull: Psychology of medical students
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      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Success
        Type: general
      – SubjectFull: Cross-sectional method
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      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Seasons
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      – SubjectFull: Multiple regression analysis
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      – SubjectFull: Loneliness
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      – SubjectFull: Multivariate analysis
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      – SubjectFull: France
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              Text: Aug2025
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