Title :
Assessment of student´s learning style and engagement in traditional based software engineering education
Author :
Pratheesh, Nidyanandan ; Devi, T.
Author_Institution :
Dept. of Comput. Applic., Bharathiar Univ., Coimbatore, India
Abstract :
Software Engineering courses are nucleus elements of the Computer Science syllabus. While the main aspire of such courses is to give students practical industry-relevant “software engineering in the large” familiarity, frequently such courses plummet short of this significant intention owed to be short of industrial experience and support infrastructure, degenerating the course into “one big coding assignment”. Therefore, it is obligatory to design and develop improved infrastructure support for teaching or taking such courses. This would benefit instructors and students communities in computer science atmosphere. Learning analytics lend a hand to the learners to enhance their learning tricks. This was scrutinized among the software engineering students how the learning style and learning engagement sways in gathering knowledge. This paper discusses the importance of learning analytics in software engineering education especially the learning style, learning engagement and its influences in this domain.
Keywords :
computer science education; educational courses; software engineering; computer science atmosphere; computer science syllabus; industrial experience; learning analytics; learning engagement; software engineering courses; software engineering education; software engineering students; student learning style; Computer science; Education; Industries; Knowledge engineering; Software; Software engineering; Standards; Collaborative Learning; Learning Analytics; Learning Style; Social Learning Analytics; Software Engineering Education;
Conference_Titel :
Intelligent Interactive Systems and Assistive Technologies (IISAT), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-0475-4
DOI :
10.1109/IISAT.2013.6606434