IJIMAI Editor's Note - Vol. 2 Issue 7

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DOI:

https://doi.org/10.9781/ijimai.2014.270

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Editors Note
Supporting Agencies
This Special Issue has been supported by UNESCO Chair on eLearning – UNIR.

Abstract

This special issue, Special Issue on Multisensor user tracking and analytics to improve education and other application fields, concentrates on the practical and experimental use of data mining and analytics techniques, specially focusing on the educational area. The selected papers deal with the most relevant issues in the field, such as the integration of data from different sources, the identification of data suitable for the problem analysis, and the validation of the analytics techniques as support in the decision making process. The application fields of the analytics techniques presented in this paper have a clear focus on the educational area (where Learning Analytics has emerged as a buzzword in the recent years) but not restricted to it. The result is a collection of use cases, experimental validations and analytics systems with a clear contribution to the state of the art.

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References

[1] J. P. Gupta, P. Dixit, N. Singh, V. B. Aemwal. “Analysis of Gait Pattern to Recognize the Human Activities”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 7-16, 2014. DOI: 10.9781/ijimai.2014.271.

[2] K. Asawa, P. Manchanda. “Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 17-21, 2014. DOI: 10.9781/ijimai.2014.272.

[3] M. Yuan, M. Recker. “Dissemination Matters: Influences of Dissemination Activities on User Types in an Online Educational

Community”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 22-29, 2014. DOI: 10.9781/ijimai.2014.273.

[4] R.S. Choudhary, R. Kukreja, N. Jain, S. Jain. “Personality and Education Mining based Job Advisory System”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp.30-34, 2014. DOI: 10.9781/ijimai.2014.274.

[5] A.G. Picciano. “Big Data and Learning Analytics in Blended Learning Environments: Benefits and Concerns”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 35-43, 2014. DOI: 10.9781/ijimai.2014.275.

[6] A. Corbi, D. Burgos, “Review of current student-monitoring techniques used in elearning-focused recommender systems and learning analytics. The Experience API & LIME model case study”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 44-52, 2014. DOI: 10.9781/ijimai.2014.276.

[7] L. Tobarra, S. Ros, R. Hernández, A. Robles-Gómez, A. C. Caminero, R. Pastor. “Integration of multiple data sources for predicting the engagement of students in practical activities” ”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 53-62, 2014. DOI: 10.9781/ijimai.2014.277.

[8] J.A.Cortés, J.O.Lozano. “Social Networks as a Learning Environment for Higher Education”, International Journal of Artificial Intelligence and Interactive Multimedia, vol. 2, no. 7, pp. 63-69, 2014. DOI: 10.9781/ijimai.2014.278.

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Published

2014-09-01
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How to Cite

de la Fuente Valentín, L., Burgos, D., and Mazza, R. (2014). IJIMAI Editor’s Note - Vol. 2 Issue 7. International Journal of Interactive Multimedia and Artificial Intelligence, 2(7), 4–5. https://doi.org/10.9781/ijimai.2014.270

Issue

Vol. 2 No. 7 (2014): IJIMAI 2014 - Special Issue on Multisensor User Tracking and Analytics to Improve Education and other Application Fields.

Section

Regular Articles

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