@inbook{c0ff70afd6cc429081e7ef0888b01b45,
title = "Deep Learning in Open Source Learning Streams",
abstract = "This chapter presents research on deep learning in a digital learning environment and raises the question if digital instructional designs can catalyze deeper learning than traditional classroom teaching. As a theoretical point of departure the notion of {\textquoteleft}situated learning{\textquoteright} is utilized and contrasted to the notion of functionalistic learning in a digital context. The mechanism that enables deep learning in this context is {\textquoteleft}The Open Source Learning Stream{\textquoteright}. {\textquoteleft}The Open Source Learning Stream{\textquoteright} is the notion of sharing {\textquoteleft}learning instances{\textquoteright} in a digital space (discussion board, Facebook group, Twitter hashtags etc.). The {\textquoteleft}learning instances{\textquoteright} are described as mediated signs of learning expressed through text in the stream that is further developed by peers and by the teacher. The expressions of {\textquoteleft}learning instances{\textquoteright} are analyzed and categorized according to whether it expresses prestructural, unistructural, multistructural or relational learning. The research concludes that {\textquoteleft}The Open Source Learning Stream{\textquoteright} can catalyze deep learning and that there are four types of {\textquoteleft}Open Source Learning streams{\textquoteright}; individual/ asynchronous, individual/synchronous, shared/asynchronous and shared/synchronous. The research also makes suggestions as to how teachers can make instructional designs that catalyze deep learning in a digital learning environment. ",
keywords = "Deep learning, Learnign stream",
author = "Thomas Kj{\ae}rgaard",
year = "2016",
language = "English",
series = " Education in a Competitive and Globalizing World",
publisher = "Nova Science Publishers",
editor = "Julius Porter",
booktitle = "Deep Learning",
address = "United States",
}