Abstract | ||
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As technology has advanced, educational establishments are faced with this question: Are we investing enough funds and resources to provide college students with effective learning tools that could help them succeed not only by alerting them when they are at risk, but also providing them with personalized remedies while studying? Recently, students became more familiar with the notion of recommendation systems through their experience with social media tools, but does education fit this paradigm? In this paper, the authors review the recent advancement of technologies in personalized learning. They also examine the role of course redesigning where instructors can teach students what they need to learn as effectively as possible while tailoring their feedback to students based on automated performance dashboards with the highest granularity level as needed. |
Year | DOI | Venue |
---|---|---|
2016 | 10.4018/IJKSR.2016100103 | IJKSR |
Field | DocType | Volume |
Recommender system,Social media,Active learning,Learning analytics,Predictive analytics,Computer science,Knowledge management,Personalized learning,Prescriptive analytics,Multimedia,Adaptive learning | Journal | 7 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leyla Zhuhadar | 1 | 146 | 17.53 |
Phillip Coleman | 2 | 0 | 0.68 |
Scarlett Marklin | 3 | 0 | 0.34 |