Clustering and Classification Models For Student's Grit Detection in E-Learning-Reference-Cited by-同舟云学术

Clustering and Classification Models For Student's Grit Detection in E-Learning

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE World AI IoT Congress (AIIoT)
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Author:

Maaliw Renato R.¹,Quing Karen Anne C.²,Susa Julie Ann B.¹,Marqueses Jed Frank S.²,Lagman Ace C.³,Adao Rossana T.⁴,Fernando - Raguro Ma. Corazon³,Canlas Ranie B.⁵

Affiliation:

1. College of Engineering Southern Luzon State University,Lucban,Quezon,Philippines

2. College of Arts & Sciences Southern Luzon State University,Lucban,Quezon,Philippines

3. FEU Institute of Technology,Information Technology Dept.,Manila,Philippines

4. College of Computer Studies FEU Institute of Technology,Manila,Philippines

5. College of Computer Studies Don Honorio Ventura State University,Bacolor,Pampanga,Philippines

Funder

Commission on Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817177.pdf?arnumber=9817177

Reference42 articles.

1. Grit and the information systems student: A discipline-specific examination of perseverance and passion for long term goals;brooks;Information Systems Education Journal,2018

2. Relationship Between Grit with Academic Performance and Attainment of Postgraduate Training in Pharmacy Students

3. Correlation Coefficients

4. The reliability of the 12-item grit scale among crossfit participants;cazayoux;European Journal of Physical Education and Sport,2018

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