Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Building Collaborative e-Learning Teams in a Smart Education Environment
Building Collaborative e-Learning Teams in a Smart Education Environment Abstract: Collaborative learning is a teaching method requiring to group students according to various ways and types, it is the most used approaches to arrange students for an effective learning in the classroom. However, with the large number of students in e-learning context, and their different settings, the task to establish cooperation and collaboration among them becomes harder and complex. Hence, several researchers proposed different approaches to overcome this diversity and find the best solution for building a good collaborative learning environment. In this context, this work discuss the Ant Colony optimisation (ACO) bio-inspired approaches and their added values in Data Analysis which leads us to assume the collaborative e-learning teams (CeLT) formation as a data clustering problem. Therefore, we analyse and discuss some ant clustering algorithms, and adapt the best one so it can be applied on an educational data sets. The results show a good starting point for future works on a real smart education Environment.
Building Collaborative e-Learning Teams in a Smart Education Environment
Building Collaborative e-Learning Teams in a Smart Education Environment Abstract: Collaborative learning is a teaching method requiring to group students according to various ways and types, it is the most used approaches to arrange students for an effective learning in the classroom. However, with the large number of students in e-learning context, and their different settings, the task to establish cooperation and collaboration among them becomes harder and complex. Hence, several researchers proposed different approaches to overcome this diversity and find the best solution for building a good collaborative learning environment. In this context, this work discuss the Ant Colony optimisation (ACO) bio-inspired approaches and their added values in Data Analysis which leads us to assume the collaborative e-learning teams (CeLT) formation as a data clustering problem. Therefore, we analyse and discuss some ant clustering algorithms, and adapt the best one so it can be applied on an educational data sets. The results show a good starting point for future works on a real smart education Environment.
Building Collaborative e-Learning Teams in a Smart Education Environment
Kallel, Ilhem (Autor:in) / Chniter, Malak (Autor:in)
01.10.2019
312158 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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