Towards the implementation of the learning analytics in the social learning environments for the technology-enhanced assessment in computer engineering education

• Autores: Hernan Sagastegui Chigne, José Emilio Labra Gayo , María Elena Alvaobeso, Patricia Ordóñez de Pablos, Juan Manuel Cueva Lovelle
• Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 32, no. Extra 4, 2016, págs. 1637-1646
• Idioma: inglés
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• Resumen

  • In this work we present a formal description of a learning environment framework that gives support to learning analytics.The framework is based on techniques that educational data mining and social network analysis provide. The purpose is tostudy or discover collaborative relationships that students generate during their learning process and make predictions orassessments about student learning. We also present a new model in the way the learning process is evaluated. This model ismore personal and contributes to new possibilities that the digital technologies offer in technology-enhanced assessment.Keywords:learning analytics; educational data mining; social learning environments; technology-enhanced assessment; informallearning; social network analysis