Abstract
This paper presents a learning analytics system that has been extended to address multiple domains (writing and coding) for a breadthwise expansion. The system has also been infused with analytics solutions targeting competence, grade prediction and regulation traits, thus offering deeper insights. Our experiences in extending the breadth and depth of the analytics system have been discussed. The discussion includes elaboration on two types of sensors to track the writing and the coding experiences of students. The design of a dashboard for teachers to monitor the performance of their classrooms and advocate regulation activities is also included. The discussions lean more on the side of teachers, parents, and administrators, than on the side of students.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aljohani, N. R., & Davis, H. C. (2012). Significance of learning analytics in enhancing the mobile and pervasive learning environments. In 2012 6th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) (pp. 70-74).
Cheng, H. C., & Liao, W. W. (2012). Establishing a lifelong learning environment using IOT and learning analytics. In 2012 14th International Conference on Advanced Communication Technology (ICACT).
Del Blanco, Á., Serrano, Á., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2013). E-Learning standards and learning analytics. Can data collection be improved by using standard data models? In IEEE Global Engineering Education Conference (EDUCON).
Kumar, V., Boulanger, D., Seanosky, J., Kinshuk, Panneerselvam, K., & Somasundaram, T. S. (2014). Competence analytics. Journal of Computers in Education, 1(4), 251–270.
Nandigam, D., Tirumala, S. S., & Baghaei, N. (2014). Personalized learning: Current status and potential. In IEEE Conference on e-Learning, e-Management and e-Services (IC3e).
Ozturk, H. T., Deryakulu, D., Ozcinar, H., & Atal, D. (2014). Advancing learning analytics in online learning environments through the method of sequential analysis. In 2014 International Conference on Multimedia Computing and Systems (ICMCS) (pp. 512-516).
Seanosky, J., Jacques, D., & Kumar, V. (2016). Security and Privacy in Bigdata Learning Analytics. In Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’) (pp. 43-55). Springer International Publishing.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this paper
Cite this paper
Boulanger, D., Seanosky, J., Guillot, R., Kumar, V.S., Kinshuk (2017). Breadth and Depth of Learning Analytics. In: Popescu, E., et al. Innovations in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-2419-1_30
Download citation
DOI: https://doi.org/10.1007/978-981-10-2419-1_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2418-4
Online ISBN: 978-981-10-2419-1
eBook Packages: EducationEducation (R0)