%0 Conference Paper %1 Rodriguez_2021 %A Rodriguez, Fernando %A Lee, Hye Rin %A Rutherford, Teomara %A Fischer, Christian %A Potma, Eric %A Warschauer, Mark %B LAK21: 11th International Learning Analytics and Knowledge Conference %D 2021 %I ACM %K LAK21 STEM clickstreamdata collegestudents datamining learninganalytics onlinelearning self-regulatedlearning underrepresentedstudents %R 10.1145/3448139.3448169 %T Using Clickstream Data Mining Techniques to Understand and Support First-Generation College Students in an Online Chemistry Course %U https://doi.org/10.1145%2F3448139.3448169

@inproceedings{Rodriguez_2021, added-at = {2021-04-18T09:55:55.000+0200}, author = {Rodriguez, Fernando and Lee, Hye Rin and Rutherford, Teomara and Fischer, Christian and Potma, Eric and Warschauer, Mark}, biburl = {https://www.bibsonomy.org/bibtex/289aaf7af44eba59f700613dd5d7d51ce/ereidt}, booktitle = {{LAK}21: 11th International Learning Analytics and Knowledge Conference}, doi = {10.1145/3448139.3448169}, interhash = {6b007670916a34ac7f30fe85c82008f9}, intrahash = {89aaf7af44eba59f700613dd5d7d51ce}, keywords = {LAK21 STEM clickstreamdata collegestudents datamining learninganalytics onlinelearning self-regulatedlearning underrepresentedstudents}, month = apr, publisher = {{ACM}}, timestamp = {2021-04-18T09:55:55.000+0200}, title = {Using Clickstream Data Mining Techniques to Understand and Support First-Generation College Students in an Online Chemistry Course}, url = {https://doi.org/10.1145%2F3448139.3448169}, year = 2021 }