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Youth Alcohol Usage and Academic Success Analysis

Public Health & Epidemiology

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Education

Alcohol Consumption

Health and Lifestyle

Academic Performance

Data Analysis

Educational Psychology

EDA

Youth Studies

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Youth Alcohol Usage and Academic Success Analysis Dataset on Opendatabay data marketplace

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Free

About

Explore the relationship between social behaviors, alcohol consumption, and academic performance among secondary school students. This dataset provides detailed information about students' social, familial, and academic lives, offering valuable insights for researchers, educators, and policymakers.

Dataset Features

  • Demographics:
    • school: Student's school (binary: 'GP' - Gabriel Pereira, 'MS' - Mousinho da Silveira).
    • sex: Student's gender ('F' - female, 'M' - male).
    • age: Student's age (15–22 years).
    • address: Home address type ('U' - urban, 'R' - rural).
    • famsize: Family size ('LE3' - 3 or fewer members, 'GT3' - more than 3).
  • Family Information:
    • Pstatus: Parents' cohabitation status ('T' - together, 'A' - apart).
    • Medu & Fedu: Education levels of mother and father (0–4, from none to higher education).
    • Mjob & Fjob: Mother's and father's jobs ('teacher', 'health', 'services', 'at_home', or 'other').
    • guardian: Primary guardian ('mother', 'father', 'other').
  • Lifestyle and Social Behavior:
    • studytime: Weekly study time (1–4, from <2 to >10 hours).
    • traveltime: Travel time to school (1–4, from <15 min to >1 hour).
    • Dalc & Walc: Alcohol consumption on weekdays and weekends (1–5, very low to very high).
    • goout: Time spent with friends (1–5, very low to very high).
    • romantic: Romantic relationship status (yes/no).
  • Academic Performance:
    • G1, G2, G3: Grades for first, second, and final periods (0–20).
  • Health and Activities:
    • health: Current health status (1–5, very bad to very good).
    • absences: School absences (0–93).
    • activities, schoolsup, famsup: Participation in extracurricular activities and support programs (yes/no).

Context

This dataset was collected through surveys of secondary school students in Portugal. It contains valuable information on students' academic and social lives, helping researchers analyze how external factors like alcohol consumption, family dynamics, and extracurricular activities influence education outcomes.

Usage:

  • Investigate the impact of lifestyle and family background on academic performance.
  • Explore how alcohol consumption affects students' grades and behavior.
  • Create targeted interventions to reduce alcohol consumption among students.
  • Design programs to enhance academic success based on study habits and social factors.
  • Examine correlations between alcohol use and health among teenagers.
  • Study behavioral trends among urban and rural youth populations.
  • Develop machine learning models to predict academic performance based on lifestyle factors.
  • Explore data for regression and classification tasks in educational domains.

Who can use it:

  • Education Research:
  • Policy Development:
  • Health Studies:
  • Predictive Modeling:

Acknowledgments

  • Source: Data provided by P. Cortez and A. Silva, and originally published as part of the FUBUTEC 2008 proceedings.
  • Citation: P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. FUBUTEC 2008, Porto, Portugal.
  • License: Open Access.

This dataset is a valuable resource for understanding the intricate relationships between lifestyle choices, family dynamics, and academic success among secondary school students. Utilize it for research, educational insights, or to build innovative data-driven solutions.

Dataset Information

VIEWS

11

DOWNLOADS

1

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1.0

Free