Model Mining Method for Collaborative Behavior of Knowledge Agent in Innovation Ecosystem

Author(s):  
Wen Li
2016 ◽  
Vol 32 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Katarina Krkovic ◽  
Sascha Wüstenberg ◽  
Samuel Greiff

Abstract. Skilful collaborative problem-solving is becoming increasingly important in various life areas. However, researchers are still seeking ways to assess and foster this skill in individuals. In this study, we developed a computer-assisted assessment for collaborative behavior (COLBAS) following the experiment-based assessment of behavior approach (objective personality tests; Cattell, 1958 ). The instrument captures participants’ collaborative behavior in problem-solving tasks using the MicroDYN approach while participants work collaboratively with a computer-agent. COLBAS can thereby assess problem-solving and collaborative behavior expressed through communication acts. To investigate its validity, we administered COLBAS to 483 German seventh graders along with MicroDYN as a measure of individual problem-solving skills and questions regarding the motivation to collaborate. A latent confirmatory factor analysis suggested a five-dimensional construct with two problem-solving dimensions (knowledge acquisition and knowledge application) and three collaboration dimensions (questioning, asserting, and requesting). The results showed that extending MicroDYN to include collaborative aspects did not considerably change the measurement of problem-solving. Finally, students who were more motivated to collaborate interacted more with the computer-agent but also obtained worse problem-solving results.


2016 ◽  
Vol 38 (4) ◽  
pp. 537-558
Author(s):  
Olivér Kovács

This paper offers some ammunition to better understand Hungary’s position in the IMD World Talent Report 2015 (IMD WTR 2015). First, it gives a brief overview of the methodology of the IMD WTR by highlighting its main features. Second, it presents the 2015 ranking and puts the focus on Hungary’s withering talent competitiveness. The paper conveys the message that an overarching and consistent reform package is a must in the education system to foster talent utilisation. However, such a package is likely to be insufficient unless economic policy addresses the relevant shortcomings of the Hungarian innovation ecosystem.


Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.


2020 ◽  
Vol 2 (9) ◽  
pp. 80-88
Author(s):  
M. M. MARKHAICHUK ◽  
◽  
M. A. TOBIEN ◽  

The method proposed in this paper allows us to determine the most promising areas of regional development within the framework of The national technology initiative (NTI) concept, taking into account the region's industry specialization. According to this method, the priority NTI markets for the Vladimir region were evaluated, and a map of the innovation ecosystem was compiled for the TechNet market, which received the highest points in the evaluation. The map shows the main stakeholders of the regional market “TechNet”, such as key enterprises in this area; educational organizations that train qualified specialists in this field; regional executive authorities responsible for legal regulation of innovation activities in the region, etc.


2013 ◽  
Vol 33 (11) ◽  
pp. 3071-3075 ◽  
Author(s):  
Hao JIANG ◽  
Xingshu CHEN ◽  
Min DU

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