Guest Editorial: Special Section on Learning Analytics

2017 ◽  
Vol 10 (1) ◽  
pp. 3-5 ◽  
Author(s):  
Dragan Gasevic ◽  
George Siemens ◽  
Carolyn Penstein Rose
Keyword(s):  
Learning Analytics ◽  
Guest Editorial ◽  
Special Section

scholarly journals Let’s Grow Together: Tutorials on Learning Analytics Methods

2016 ◽  
Vol 3 (3) ◽  
pp. 5-8 ◽  
Author(s):  
Dragan Gasevic ◽  
Mykola Pechenizkiy
Keyword(s):  
Network Analysis ◽  
Learning Analytics ◽  
Guest Editorial ◽  
Pattern Mining ◽  
Special Section ◽  
Visual Learning ◽  
Coherence Analysis ◽  
Text Coherence ◽  
Social Media Text ◽  
Visual Learning Analytics

This paper is a guest editorial into a special section that offers a collection of tutorials on methods that can be used in learning analytics. The special section is prepared as a response to the growing need of learning analytics practitioners and researchers to learn and use novel methods. In spite of this need, papers that systematically introduce some of the methods have been underrepresented in the literature. Specifically, the special section features papers that introduce epistemic network analysis, automated content and network analysis of social media, text coherence analysis with Coh-Metrix, microgenetic analysis with sequence pattern mining, and design of visual learning analytics guided by educational theory informed goals.

scholarly journals Shape of Educational Data: Interdisciplinary Perspectives

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Colleen M. Ganley ◽  
Sara A. Hart
Keyword(s):  
Student Learning ◽  
Educational Psychology ◽  
Learning Analytics ◽  
Guest Editorial ◽  
Online Courses ◽  
Special Section ◽  
Online Systems ◽  
The Third ◽  
Online Platforms ◽  
Insight Into

This paper is a guest editorial for a special section that forms the proceedings of the Shape of Educational Data meeting. This special section features papers that apply methods from multiple fields — including mathematics, computer science, educational psychology, and learning analytics — to describe and predict student learning in online platforms. The special section is organized such that the first set of articles discusses different online learning systems (WEPS, WeBWorK, and inVideo) and data that can be analyzed from these systems. The second set of articles involves descriptions of topological data analyses that can be helpful to researchers in learning analytics and educational psychology to better model student learning in online courses. The third set of articles uses data obtained from online systems to study factors related to student learning. Due to these multiple approaches, we can gain insight into the types of data available, the ways in which we can measure particular constructs related to learning using these data, and the ways we can analyze these data, including statistical approaches and visualizations.

scholarly journals Guest Editorial: Introduction to the Special Section on Cyber Security Threats and Defense Advance

2020 ◽  
Vol 8 (2) ◽  
pp. 264-266
Author(s):  
Zhe Liu ◽  
Kim-Kwang Raymond Choo ◽  
Weiqiang Liu ◽  
Muhammad Khurram Khan
Keyword(s):  
Cyber Security ◽  
Guest Editorial ◽  
Special Section ◽  
Editorial Introduction ◽  
Security Threats

Guest Editorial: A special section on digital marketing

2021 ◽  
pp. 102355
Author(s):  
Hatice Kizgin ◽  
Anabel Gutierrez ◽  
Bhavini Desai ◽  
Delia Vazquez ◽  
Nripendra Rana
Keyword(s):  
Guest Editorial ◽  
Special Section ◽  
Digital Marketing

Guest Editorial Special Section on Power-Aware Design for Embedded Systems

2013 ◽  
Vol 9 (1) ◽  
pp. 485-486
Author(s):  
Jian-Jia Chen ◽  
Jörg Henkel ◽  
Xiaobo Sharon Hu
Keyword(s):  
Embedded Systems ◽  
Guest Editorial ◽  
Special Section
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