Future of E-Learning: Perspective of European Teachers
Özet
Imagining is the first step in actualizing something. Several technological developments have been the product of people's dreams. This study discusses the results of a workshop related to dreaming about what e-learning will be like in the future that was part of an in-service training course included in the European Union Lifelong Learning program. The purpose of the current study is to shed light on the workshop participants' visions of the future of e-learning. The participants emphasized that e-learning will not only develop toward technology but also lead to pedagogical outputs. It was predicted that e-learning will contribute to education as blended learning and lifelong learning become popular. Other leading issues will be the integration of technology with the human body and the facilitation of learning. The author of the current study, who took part in the workshop, emphasized cloud-based technologies. Workshop participants stated that cloud-based services will inevitably become part of fields such as information security storage and estate services, as well as education. Moreover, they predicted that information and education clouds will emerge that can be accessed anywhere and anytime, and that these clouds will be used at all grade levels through facilitation by moderators on a local and a national basis. They also mentioned that the concept of e-learning will evolve into cloud-based learning.
Cilt
11Sayı
2Koleksiyonlar
İlgili Öğeler
Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.
-
Tomato Leaf Disease Detection and Classification using Convolutional Neural Networks
Irmak, G.; Saygılı, Ahmet (Institute of Electrical and Electronics Engineers Inc., 2020)Automatic classification process in images has been used in many fields, especially agriculture and medical fields in recent years. Especially in our country, image processing studies are needed to improve agriculture and ... -
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
Özger, Zeynep Banu; Cihan, Pınar (Elsevier Ltd, 2022)B-cell epitope prediction research has received growing interest since the development of the first method. B-cell epitope identification with the aid of an accurate prediction method is one of the most important steps in ... -
A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods
Cihan, Pınar; Özger, Zeynep Banu (Elsevier Ltd, 2022)The emergence of machine learning-based in silico tools has enabled rapid and high-quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning methods have been used in many topics such as ...