Knowledge-based recommendation system for teaching computational thinking in primary level students

Julio Vera-Sanchi, Eduardo De-Rivero, Christian Condori-Mamani, Vidal Soncco-Merma, Gustavo Suero-Soto, Klinge Orlando Villalba Condori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The proposal is a video game developed in Unity, which interacts with the students according to their degree of studies and, according to the STEM curriculum, it is the subject that the student has to learn and in what degree of difficulty, so Once the registration is complete, the video game will provide levels according to your academic degree so that the student interacts with the video game and use the Vector Machine Support (SVM) algorithm that enters the student data and video game data, such as its level, difficulty, time and number of movements and its result send it to the recommendation system to determine what the student should learn and provide related links or documentation, or see if he learned and at what level, verify the SVM because it is a discriminatory classifier formally defined by a hyperplane of separation, which in our case only interests us to know if the student learned or not.

Original languageEnglish
Title of host publicationICCE 2019 - 27th International Conference on Computers in Education, Proceedings
EditorsMaiga Chang, Hyo-Jeong So, Lung-Hsiang Wong, Ju-Ling Shih, Fu-Yun Yu, Michelle P. Banawan, Ben Chang, Weiqin Chen, Andrei D. Coronel, Swapna Gottipati, H. Ulrich Hoppe, Morris S.Y. Jong, Calvin Liao, Jon Mason, Fan Ouyang, Patcharin Panjaburee, Ma. Mercedes T. Rodrigo, Yanjie Song, Niwat Srisawasdi, Ahmed Tlili, Chengjiu Yin
PublisherAsia-Pacific Society for Computers in Education
Pages724-733
Number of pages10
ISBN (Electronic)9789869721448
StatePublished - 19 Nov 2019
Externally publishedYes
Event27th International Conference on Computers in Education, ICCE 2019 - Kenting, Taiwan, Province of China
Duration: 2 Dec 20196 Dec 2019

Publication series

NameICCE 2019 - 27th International Conference on Computers in Education, Proceedings
Volume2

Conference

Conference27th International Conference on Computers in Education, ICCE 2019
Country/TerritoryTaiwan, Province of China
CityKenting
Period2/12/196/12/19

Bibliographical note

Funding Information:
The term STEM is the acronym for the English terms Science, Technology, Engineering and Mathematics. The term was coined by the National Science Foundation (NSF) in the 1990s. [8] the term STEM, only dried, only serves to group the 4 major areas of knowledge in which scientists and engineers work. The concept of “STEM Education” (STEM Education) has been developed as a new way of teaching Science, Mathematics and Technology together (in general, not only computer science) with two distinct characteristics: [11]  Teaching-learning of Science, Technology, Engineering and Mathematics in an integrated manner rather than as compartmentalized areas of knowledge. Integrated instruction means any program in which there is an explicit assimilation of concepts from two or more disciplines.  With an engineering approach to the development of theoretical knowledge for its subsequent practical application, always focused on solving technological problems. [14]

Publisher Copyright:
© ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.

Keywords

  • Computational thinking
  • Machine learning
  • Recommendation system

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