Skills Assessment
The Software Engineering Skillset Dataset focuses on three critical areas: Soft Skills, Life Skills, and Technical Skills. These components are essential for assessing and predicting the software engineering competencies of computer science students. Data for the dataset was collected through a carefully designed questionnaire, targeting students enrolled in software engineering courses at higher educational institutions across Kerala, India. Over two thousand students participated in the survey, which used a dedicated assessment quiz with fifteen questions to evaluate each skill category.
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This is a data set resulting from the collaboration of the user and Phantom Premium $1.5$A Haptic Device, Geomagic Inc. Five right-handed users performed the task of tracking squiggly line in 6 trials. Since there is a significant difference between the performance of the trials done by the dominant hand and with ones performed by the non-dominant hand, we consider trajectories of the dominant hand of the users as expert data and trajectories coming from the other hand as novice data. This assumption is due to the fact that our dominant hand is fully trained to skillfully perform elaborate
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