Analysing Users' Interactions with Khan Academy Repositories (Paperback, 1st ed. 2021)

This book addresses the need to explore user interaction with online learning repositories and the detection of emergent communities of users. This is done through investigating and mining the Khan Academy repository; a free, open access, popular online learning repository addressing a wide content scope. It includes large numbers of different learning objects such as instructional videos, articles, and exercises. The authors conducted descriptive analysis to investigate the learning repository and its core features such as growth rate, popularity, and geographical distribution. The authors then analyzed this graph and explored the social network structure, studied two different community detection algorithms to identify the learning interactions communities emerged in Khan Academy then compared between their effectiveness. They then applied different SNA measures including modularity, density, clustering coefficients and different centrality measures to assess the users' behavior patterns and their presence. By applying community detection techniques and social network analysis, the authors managed to identify learning communities in Khan Academy's network. The size distribution of those communities found to follow the power-law distribution which is the case of many real-world networks. Despite the popularity of online learning repositories and their wide use, the structure of the emerged learning communities and their social networks remain largely unexplored. This book could be considered initial insights that may help researchers and educators in better understanding online learning repositories, the learning process inside those repositories, and learner behavior.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	November 2022
First published:	2021
Authors:	Sahar Yassine • Seifedine Kadry • Miguel-Angel Sicilia
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	88
Edition:	1st ed. 2021
ISBN-13:	978-3-03-089168-8
Categories:	Books > Science & Mathematics > Science: general issues > Impact of science & technology on society Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Social sciences > Education > Higher & further education > Open learning & distance education Books > Social sciences > Education > Educational resources & technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-089168-2
Barcode:	9783030891688

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!