%0 Conference Paper %1 Joyner2024 %A Joyner, David A. %A Duncan, Alex S. %B Proceedings of the Eleventh ACM Conference on Learning @ Scale %C New York, NY, USA %D 2024 %I Association for Computing Machinery %K las2024 mooc %P 143–153 %R 10.1145/3657604.3662038 %T Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree %U https://doi.org/10.1145/3657604.3662038 %X Ten years ago in 2014 saw the launch of the first in what would become a trend to launch online, at-scale degree programs (mostly at the graduate level) by leveraging MOOC pedagogies and platforms. Using publicly-available data, this paper describes ten trends that characterize the first decade of one such program in computer science in order to assess the audience and performance of students who elect to enroll in such programs. Past research has found that students in these programs tend to enroll in large part because they do not have other options for rigorous, respected credentials that fit into their professional and personal lives; this study unpacks many of these trends. Specifically, this study finds that the fraction of women enrolling in the program has steadily increased over time, that the gender discrepancy can be partially explained by underlying differences in women in CS across different nationalities, that applicants to the program tend to be evenly split between technical and non-technical backgrounds, and that the geographic distribution of students over time has shifted toward more international audiences even while the state in which the program originates comprises the largest fraction per capita of enrollees. The paper concludes by discussing how these trends might generalize to feedback to other similar programs and other at-scale initiatives. %@ 9798400706332

@inproceedings{Joyner2024, abstract = {Ten years ago in 2014 saw the launch of the first in what would become a trend to launch online, at-scale degree programs (mostly at the graduate level) by leveraging MOOC pedagogies and platforms. Using publicly-available data, this paper describes ten trends that characterize the first decade of one such program in computer science in order to assess the audience and performance of students who elect to enroll in such programs. Past research has found that students in these programs tend to enroll in large part because they do not have other options for rigorous, respected credentials that fit into their professional and personal lives; this study unpacks many of these trends. Specifically, this study finds that the fraction of women enrolling in the program has steadily increased over time, that the gender discrepancy can be partially explained by underlying differences in women in CS across different nationalities, that applicants to the program tend to be evenly split between technical and non-technical backgrounds, and that the geographic distribution of students over time has shifted toward more international audiences even while the state in which the program originates comprises the largest fraction per capita of enrollees. The paper concludes by discussing how these trends might generalize to feedback to other similar programs and other at-scale initiatives.}, added-at = {2024-07-19T17:12:04.000+0200}, address = {New York, NY, USA}, author = {Joyner, David A. and Duncan, Alex S.}, biburl = {https://www.bibsonomy.org/bibtex/2917713405ad823f31a4b6e745c2d2299/brusilovsky}, booktitle = {Proceedings of the Eleventh ACM Conference on Learning @ Scale}, day = 15, description = {Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree | Proceedings of the Eleventh ACM Conference on Learning @ Scale}, doi = {10.1145/3657604.3662038}, interhash = {81819314ecd7e8a3c472566ce9ccc269}, intrahash = {917713405ad823f31a4b6e745c2d2299}, isbn = {9798400706332}, keywords = {las2024 mooc}, location = {Atlanta, GA, USA}, month = {7}, pages = {143–153}, publisher = {Association for Computing Machinery}, series = {L@S '24}, timestamp = {2024-07-19T17:12:04.000+0200}, title = {Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree}, url = {https://doi.org/10.1145/3657604.3662038}, year = 2024 }