使用可解释的人工智能,使大学前的个人资料与学士学位的成功程度保持一致
Juan Ramón Rico-Juan1, María Luisa Pertegal-Felices2, Antonio Jimeno-Morenilla3
1Department of Software and Computing Systems, University of Alicante, Alicante, Spain.
Scientific reports
|December 23, 2025
概括
一个新的机器学习工具帮助学生选择兼容的学士学位,提高学术成功. 通过分析大学前的数据,学位推系统预测了合适的课程,降低了学率.
科学领域:
- 教育技术的教育技术
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 学生向高等教育过渡往往是由于缺乏关于学术课程兼容性的信息而受到阻碍.
- 不良的课程选择会导致学业表现下降和学率增加.
- 现有的指导方法可能无法充分利用学生的学术档案来进行最佳的学位选择.
研究的目的:
- 开发一个基于机器学习 (ML) 的学位推工具,以使大学预科专业与学士学位课程保持一致.
- 为学生提供数据驱动的指导,并协助学校辅导员提供职业咨询.
- 通过提高课程选择准确性来降低学术表现不佳和学率.
主要方法:
- 在大量学术记录数据集上利用机器学习算法 (约. 72,000) 来自西班牙大学 (2010-2022年).
- 开发了一个学位推系统,结合学生的学术数据,兴趣和社会经济因素.
- 采用可解释性技术来识别学生的个人资料和学科与学位的关系.
主要成果:
- 推工具的平均准确率为前5个预测的70%,前10个预测的90%.
- 确定了影响学位推的特定大学前科目 (例如地理,数学,物理).
- 揭示了学术背景和适合各种学士学位课程之间的相关性.
结论:
- 基于ML的学位推工具为学生提供准确和个性化的指导.
- 该系统可以显著帮助教育机构提高学生的学业成绩和留学率.
- 未来的改进包括扩大数据源和整合先进的ML模型以获得更高的精度.
相关概念视频
Non-equilibrium in the Cell
5.3K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.3K
Theory of Attribution II: Kelley's Covariation Theory
456
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
456
Reliability and Validity
13.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.7K
Hindsight Biases
4.2K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
4.2K
Correlations
35.7K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.7K
Improving Translational Accuracy
3.5K
3.5K
