In Distance education, learning depends on the ability of the learner to manage his/her learning process, both through the creation of appropriate objectives, and by adopting strategies to achieve them. The role of the teacher is to develop an efficient methodology with flexibility over the learners’ special characteristics and to create conditions to enable the learners to manage their learning process. This research aims to investigate the parameters which are involved in synchronous teleconference and which lead to effective learning through the support of an autonomous environment. The research was conducted with students of the Annual Training Program for Teachers of Higher School of Pedagogical and Technological Education Department in Patras. The results show that teleconference as teaching tool can support the autonomous learning and can enhance personalisation as this process can help students to learn and develop skills by receiving efficient support.
Online fora have become not only one of the most popular communication tools in e-learning environments, but also one of the key factors of the learning process, especially in distance learning, as they can provide to the students involved, motivation for collaboration in order to achieve a common goal. The purpose of this study is to analyse data related to the participation of postgraduate students in the online forum of their course at the Hellenic Open University. The content of the messages posted is analysed by using text mining techniques, while the network through which the students interact is processed through social network analysis techniques. Furthermore, sentiment analysis and opinion mining is applied on the same dataset. Our aim is to study students’ attitude towards the course and its features, as well as to model their sentiment behaviour over time, and finally to detect if and how this affected their overall performance. The combined knowledge attained from the aforementioned techniques can provide tutors with practical and valuable information for the structure and the content of the students’ exchanged messages, the patterns of interaction among them, the trend of sentiment polarity during the course, so as to improve the educational process.