Summary of A Machine Learning Approach to Predict University Enrolment Choices Through Students’ High School Background in Italy, by Andrea Priulla et al.
A machine learning approach to predict university enrolment choices through students’ high school background in Italy
by Andrea Priulla, Alessandro Albano, Nicoletta D’Angelo, Massimo Attanasio
First submitted to arxiv on: 29 Feb 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Applications (stat.AP); Other Statistics (stat.OT)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study examines how Italian high school students’ math and language skills influence their university course enrollment choices, particularly in STEM fields. The researchers divide students into those from scientific and humanistic backgrounds, providing valuable insights into their enrollment preferences. They also investigate potential gender differences based on previous educational choices and achievements. Using gradient boosting methodology, which is known for its high predictive performance, the study adjusts for socio-demographic variables and previous educational achievements. The findings reveal significant differences in enrollment choices based on high school achievements. This research sheds light on the complex interplay between academic proficiency, gender, and high school background in shaping students’ university education choices, with implications for educational policy and future research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how Italian high school students’ math and language skills affect their college course choices, especially in science and technology classes. The researchers found that students from different types of high school programs have different preferences when it comes to choosing college courses. They also looked at whether boys and girls make different choices based on their past experiences and achievements. By using a special kind of math, the study took into account things like where students come from and what they did in high school. The results show that students’ past experiences have a big impact on their college course choices. |
Keywords
* Artificial intelligence * Boosting
