A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Mining Social Media Data for Understanding Students' Learning Experiences
2014
IEEE Transactions on Learning Technologies
ARTICLE INFO Social media sites such as Twitter, Facebook, and YouTube provide great venues for students to share joy and struggle, vent emotion and stress, and seek social support. On various social media sites, students discuss and share their everyday encounters in an informal and casual manner. Students' digital footprints provide vast amount of implicit knowledge and a whole new perspective for educational researchers and practitioners to understand students' experiences outside the
doi:10.1109/tlt.2013.2296520
fatcat:zp552le4bvh5bba5vocbhr4ofy