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Research Article | Open Access |

Students’ Weakness Detective in Traditional Class

Author 1: Fatimah Altuhaifa
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 5, No. 6 · Published 2016

DOI: 10.14569/IJARAI.2016.050604

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Abstract

In Artificial Intelligent in Education in learning contexts and domains, the traditional classroom is tough to find students’ weakness during lecture due to the student’s number and because the instruction is busy with explaining the lesson. According to that, choosing teaching style that can improve student talent or skills to performs better in their classes or professional life would not be an easy task. This system is going to detect the average of students’ weakness and find either a solution for this or instruction a style that can increase students’ ability and skills by filtering the collection data, understanding the problem. After that, it provides a teaching style.

Keywords

emotional learner prediction voice identifier and verifier weakness detecting artificial intelligent in education

How to Cite this Article

Altuhaifa, F. (2016). Students’ Weakness Detective in Traditional Class. International Journal of Advanced Research in Artificial Intelligence, 5(6). https://doi.org/10.14569/IJARAI.2016.050604

Altuhaifa, Fatimah. "Students’ Weakness Detective in Traditional Class." International Journal of Advanced Research in Artificial Intelligence, vol. 5, no. 6, 2016, https://doi.org/10.14569/IJARAI.2016.050604.

@article{Altuhaifa2016,
  title     = {Students’ Weakness Detective in Traditional Class},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {5},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Fatimah Altuhaifa},
  doi       = {10.14569/IJARAI.2016.050604},
  url       = {https://doi.org/10.14569/IJARAI.2016.050604}
}

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