Topic Modeling of Constructed-Response Answers on Social Study Assessments

Author(s):  
Jiawei Xiong ◽  
Hye-Jeong Choi ◽  
Seohyun Kim ◽  
Minho Kwak ◽  
Allan S. Cohen
2011 ◽  
Vol 10 (2) ◽  
pp. 78-88 ◽  
Author(s):  
Janneke K. Oostrom ◽  
Marise Ph. Born ◽  
Alec W. Serlie ◽  
Henk T. van der Molen

Advances in computer technology have created opportunities for the development of a multimedia situational test in which responses are filmed with a webcam. This paper examined the relationship of a so-called webcam test with personality, cognitive ability, job experience, and academic performance. Data were collected among 153 psychology students. In line with our expectations, scores on the webcam test, intended to measure interpersonally oriented leadership, were related to extraversion, conscientiousness, emotional stability, and job experience. Furthermore, the webcam tests significantly predicted students’ learning activities during group meetings over and above a cognitive ability test and a personality questionnaire. Overall, this study demonstrates that webcam tests can be a valid complement to traditional predictors in selection contexts.


Author(s):  
Maria A. Milkova

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.


2020 ◽  
Vol 16 (2) ◽  
pp. 83-115
Author(s):  
Mira Kim ◽  
◽  
Hye Sun Hwang ◽  
Xu Li

2019 ◽  
Vol 58 (6) ◽  
pp. 197-207
Author(s):  
Juhae Baeck ◽  
Hyungil Kwon ◽  
Mihwa Choi ◽  
Yi-Hsiu Lin

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