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The overall goal of our Software Engineering Teamwork Assessment and Prediction (SETAP) project is to develop effective machine-learning-based methods for assessment and early prediction of student learning effectiveness in software engineering teamwork. Specifically, we use the Random Forest (RF) machine learning (ML) method to predict the effectiveness of software engineering teamwork learning based...
Through the processes set out by Learning Analytics, this paper describes a decision making model which supports the managers of higher education institutions at the moment of making academic decisions. In the analysis and requirements phase, the importance of creating and categorizing indicators is presented in detail, thereby facilitating the finding of hidden patterns in the educational information...
We develop a practical technique in this paper to classify the scholars in different disciplines, organizations according to their research interests. The scholar classification is important to the scholars, research organizations,, government for research, evaluation, education, research resource allocation. It becomes really difficult because name abbreviation, interdisciplinary, especially tautonym...
Taking wise career decision is so crucial for any body for sure. In modern days there are excellent decision support tools like data mining tools for the people to make right decisions. This paper is an attempt to help the prospective students to make wise career decisions using technologies like data mining. In India technical manpower analysis is carried out by an organization named NTMIS(National...
The personalized learning resource recommendation, as one higher level of the requirements for the learning based on resources of people in the Internet age, has been paid more attention by researchers. Some existing researches can provide personalized learning resources services for learners, but few of them considers the learner's needs for learning resources from a cognitive style point of view...
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