TY - GEN
T1 - Knowledge-based recommendation system for teaching computational thinking in primary level students
AU - Vera-Sanchi, Julio
AU - De-Rivero, Eduardo
AU - Condori-Mamani, Christian
AU - Soncco-Merma, Vidal
AU - Suero-Soto, Gustavo
AU - Villalba-Condori, Klinge
N1 - Publisher Copyright:
© ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.
PY - 2019/11/19
Y1 - 2019/11/19
N2 - 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.
AB - 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.
KW - Computational thinking
KW - Machine learning
KW - Recommendation system
UR - http://www.scopus.com/inward/record.url?scp=85077717442&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85077717442
T3 - ICCE 2019 - 27th International Conference on Computers in Education, Proceedings
SP - 724
EP - 733
BT - ICCE 2019 - 27th International Conference on Computers in Education, Proceedings
A2 - Chang, Maiga
A2 - So, Hyo-Jeong
A2 - Wong, Lung-Hsiang
A2 - Shih, Ju-Ling
A2 - Yu, Fu-Yun
A2 - Banawan, Michelle P.
A2 - Chang, Ben
A2 - Chen, Weiqin
A2 - Coronel, Andrei D.
A2 - Gottipati, Swapna
A2 - Hoppe, H. Ulrich
A2 - Jong, Morris S.Y.
A2 - Liao, Calvin
A2 - Mason, Jon
A2 - Ouyang, Fan
A2 - Panjaburee, Patcharin
A2 - Rodrigo, Ma. Mercedes T.
A2 - Song, Yanjie
A2 - Srisawasdi, Niwat
A2 - Tlili, Ahmed
A2 - Yin, Chengjiu
PB - Asia-Pacific Society for Computers in Education
T2 - 27th International Conference on Computers in Education, ICCE 2019
Y2 - 2 December 2019 through 6 December 2019
ER -