Congruency, Adaptivity, Modularity, and Personalization: Four Experiments in Teaching Introduction to Computing
D. Joyner. Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale, page 307--310. New York, NY, USA, ACM, (2017)
DOI: 10.1145/3051457.3054011
Abstract
In January 2017, Georgia Tech launched a new online section of its CS1301: Introduction to Computing class. The course, offered both as a for-credit course to on-ground students and as an open MOOC, built on four unique design principles: congruency, adaptivity, modularity, and personalization. In this short paper, we describe the background of the course, the definitions of these design principles, and their application to the course design.
%0 Conference Paper
%1 citeulike:14347132
%A Joyner, David A.
%B Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale
%C New York, NY, USA
%D 2017
%I ACM
%K assessment las2017 programming progtutor
%P 307--310
%R 10.1145/3051457.3054011
%T Congruency, Adaptivity, Modularity, and Personalization: Four Experiments in Teaching Introduction to Computing
%U http://dx.doi.org/10.1145/3051457.3054011
%X In January 2017, Georgia Tech launched a new online section of its CS1301: Introduction to Computing class. The course, offered both as a for-credit course to on-ground students and as an open MOOC, built on four unique design principles: congruency, adaptivity, modularity, and personalization. In this short paper, we describe the background of the course, the definitions of these design principles, and their application to the course design.
%@ 978-1-4503-4450-0
@inproceedings{citeulike:14347132,
abstract = {{In January 2017, Georgia Tech launched a new online section of its CS1301: Introduction to Computing class. The course, offered both as a for-credit course to on-ground students and as an open MOOC, built on four unique design principles: congruency, adaptivity, modularity, and personalization. In this short paper, we describe the background of the course, the definitions of these design principles, and their application to the course design.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {Joyner, David A.},
biburl = {https://www.bibsonomy.org/bibtex/2c5b84b6bfa3f32bd72293812a62c1bad/aho},
booktitle = {Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale},
citeulike-article-id = {14347132},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=3051457.3054011},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/3051457.3054011},
doi = {10.1145/3051457.3054011},
interhash = {a9acfed22b95e7fe12a73e63e887720d},
intrahash = {c5b84b6bfa3f32bd72293812a62c1bad},
isbn = {978-1-4503-4450-0},
keywords = {assessment las2017 programming progtutor},
location = {Cambridge, Massachusetts, USA},
pages = {307--310},
posted-at = {2017-04-30 21:58:20},
priority = {0},
publisher = {ACM},
series = {L@S '17},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Congruency, Adaptivity, Modularity, and Personalization: Four Experiments in Teaching Introduction to Computing}},
url = {http://dx.doi.org/10.1145/3051457.3054011},
year = 2017
}