Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …

Text representations learned by machine learning models often encode undesirable
demographic information of the user. Predictive models based on these representations can …

The rapid development of artificial intelligence has driven the transformation of educational
evaluation into big data-driven. This study used a systematic literature review method to …

Purpose Residency programs face overwhelming numbers of residency applications,
limiting holistic review. Artificial intelligence techniques have been proposed to address this …

University admission at many highly selective institutions uses a holistic review process,
where all aspects of the application, including protected attributes (eg, race, gender) …

Contextual representations learned by language models can often encode undesirable
attributes, like demographic associations of the users, while being trained for an unrelated …

Decision making by applying data mining methods is being used in many service
organizations. Educational bodies gradually started to use the business intelligence …

Purpose The uncertainty of getting admission into universities/institutions is one of the global
problems in an academic environment. The students are having good marks with highest …

In past decade, there have been several students who have dropped out from the
educational institutions and it is increasing rapidly. This has become one of the challenging …

In the present conditions, students regularly have difficulty finding a fitting institution to
pursue higher studies based on their profile. There are some advisory administrations and …