Abstract
Student retention and learning in STEM disciplines is a growing problem. The 2012 report by the US President's Council of Advisors on Science and Technology (PCAST) predicts a future deficit in science, engineering, and mathematics (STEM) in the following decade and emphasizes the importance of addressing this issue. With this as a motivating factor, the OSBLE+ Social Programming Environment (SPE) was used to leverage social and programming data for the basis of automatically generated prompts inserted into the SPE. These prompts were designed to stimulate help-seeking, help-giving, and social interaction in the learning environment. A social network analysis was performed in order to determine whether exposure to the automated interventions would positively affect the relationship among students over time. Results of this study suggest that students in the experimental treatment who were presented with automated prompts developed more connected and social networks than those in the control treatment.
Original language | English |
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Title of host publication | Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019 |
Editors | Maiga Chang, Demetrios G Sampson, Ronghuai Huang, Alex Sandro Gomes, Nian-Shing Chen, Ig Ibert Bittencourt, Kinshuk , Diego Dermeval, Ibsen Mateus Bittencourt |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 145-149 |
Number of pages | 5 |
ISBN (Electronic) | 9781728134857 |
ISBN (Print) | 9781728134864 |
DOIs | |
Publication status | Published - 2019 |
Event | IEEE International Conference on Advanced Learning Technologies 2019 - Maceio, Brazil Duration: 15 Jul 2019 → 18 Jul 2019 Conference number: 19th http://www.ic.ufal.br/evento/icalt2019/ https://ieeexplore.ieee.org/xpl/conhome/8809605/proceeding (Proceedings) |
Conference
Conference | IEEE International Conference on Advanced Learning Technologies 2019 |
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Abbreviated title | ICALT 2019 |
Country/Territory | Brazil |
City | Maceio |
Period | 15/07/19 → 18/07/19 |
Internet address |
Keywords
- Computer science education
- Computer Supported Collaborative Learning
- Learning analytics
- Social network analysis