Predicting Student Performance using Advanced Learning Analytics-Reference-Cited by-同舟云学术

Predicting Student Performance using Advanced Learning Analytics

Published:2017 Issue: Volume: Page:
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Container-title:Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
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Author:

Daud Ali¹,Aljohani Naif Radi²,Abbasi Rabeeh Ayaz³,Lytras Miltiadis D.⁴,Abbas Farhat⁵,Alowibdi Jalal S.⁶

Affiliation:

1. King Abdulaziz University & International Islamic University, Jeddah; Islamabad, Saudi Arabia

2. King Abdulaziz University, Jeddah, Saudi Arabia

3. King Abdulaziz University & Quaid-i-Azam University, Jeddah; Islamabad, Saudi Arabia

4. The American College of Greece, Greece, Greece

5. International Islamic University, Islamabad, Pakistan

6. University of Jeddah, Jeddah, Saudi Arabia

Publisher

ACM Press

Reference26 articles.

1. N. R. Aljohani and H. C. Davis, "Learning analytics in mobile and ubiquitous learning environments," in 11th World Conference on Mobile and Contextual Learning, 2012.

2. N. R. Aljohani, H. C. Davis, and S. W. Loke, "A comparison between mobile and ubiquitous learning from the perspective of human-computer interaction," International Journal of Mobile Learning and Organization, vol. 6, no. 3/4, pp. 218--231, 2012.

3. R. Asif, A. Merceron, and M. K. Pathan, "Investigating performance of students: a longitudinal study," in Fifth International Conference on Learning Analytics And Knowledge (LAK '15), New York, USA, 2015, pp. 108--112.

4. M. A. Chatti, A. L. Dyckhoff, U. Schroeder, and H Thüs, "A reference model for learning analytics," International Journal of Technology Enhanced Learning (IJTEL), vol. 4, no. 5/6, pp. 318--331, 2012.

5. N. Fournier, R. Kop, and H. Sitlia, "The value of learning analytics to networked learning on a personal learning environment," in 1st International Conference on Learning Analytics and Knowledge, 2011, pp. 104--109.

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