In this paper we consider courses of a Computer Science degree in an Italian university from the year 2011 up to 2020. For each course, know number exams taken by students during given calendar and corresponding average grade; also normalized value result obtained entrance test distribution according gender. By using classification clustering techniques, analyze different data sets pre-processi...

This paper describes the CMUQA entry into NTCIR QA Lab-3. CMUQA is an essay-question answering system that uses Wikipedia as its knowledge base. The essay-question portion of QA Lab-3 is composed of real exam questions from the University of Tokyo’s entrance exams which are focused on world history. The proposed system formulates answers to these questions using the following sequence of proces...

Talent-search participants (286 males, 94 females) scoring in the top 0.01% on cognitive-ability measures were identified before age 13 and tracked over 20 years. Their creative, occupational, and life accomplishments are compared with those of graduate students (299 males, 287 females) enrolled in top-ranked U.S. mathematics, engineering, and physical science programs in 1992 and tracked over ...

This paper describes our participation to the Entrance Exams Task of CLEF 2015’s Question Answering Track. The goal is to answer multiple-choice questions on short texts. Our system first retrieves passages relevant to the question, through lexical expansion involving WordNet and word vectors. Then a tree edit model is used on graph representations of the passages and answer choices to extract ...

In this paper, we present the LIMSI’s participation to QA4MRE 2013.We decided to test two kinds of methods. The first one focuses on complex questions, such as causal questions, and exploits discourse relations. Relation recognition shows promising results, however it has to be improved to have an impact on answer selection. The second method is based on semantic variations. We explored the Eng...

This investigation seeks to confirm several key factors in computer-based versus paper-based assessment. Based on earlier research, the factors considered here include content familiarity, computer familiarity, competitiveness, and gender. Following classroom instruction, freshman business undergraduates (N = 105) were randomly assigned to either a computer-based or identical paper-based test. ...

Today, in order for a student to enter university, he/she must go through many admission stages. The exam hollowed out the education and expelled non-cognitive human values that were not measured by exam. Exams completely swallowed students' 6-18 age period caused disaster system, contrary their purpose of existence. It has already been observed standardized exams do predict university success....

Predicting student academic performance with a high accuracy facilitates admission decisions and enhances educational services at educational institutions. This raises the need to propose a model that predicts student performance, based on the results of standardized exams, including university entrance exams, high school graduation exams, and other influential factors. In this study, an approa...