An Approach to Setting up Dataset for Winner-Domain Algorithm Selecting Teamers Participating in Vietnam National Competitions
Keywords:
Student performance, Student competition, Winner-domain, Selecting teamers.Abstract
The dataset of competitors’ performance in some recent years is the input of winner-domain algorithm selecting good student as member of a subject team participating in Vietnam national prize. The data of learning performance features may be retrieved from the competitors’ learning outcomes. Meanwhile, the collection of non-learning performance feature data of competitors meets challenges relating to the individual right and interviewees’ cooperation for answering questionnaire. This research analyzed competitors’ skills and lifestyle into very simple questions with very easy answer mode, without the deep relation to their individual lifestyle. The reply-matrix and reply-cube are formed to map simple answers of questionnaire reply into quantitative values. This approach may be flexibly applied to easily form the datasets of competitors’ performance for various subjects in different years and at different levels of competitions.
References
C. N. T. Huynh, P. V. Tran, T. V. Tran (2024) The Approach of Winner-domain to Selecting Members for High School Team Participating in National Excellent Student Competition. 1-8.
H. T. Nguyen, A. V. T. Tran, T. A. T. Nguyen, L. T. Vo, P. V. Tran (2016) Multivariate Cube for Representing Multivariable Data in Visual Analytics. LNICST, 91-100.
E. N. Khabibah, M. Masykuri, Maridi (2017) The Effectiveness of Module Based on Discovery Learning to Increase Generic Science Skills. 11(2), 146-153.
H. T. Nguyen, A. V. T. Tran, T. A. T. Nguyen, L. T. Vo, P. V. Tran (2017) Multivariate cube integrated retinal variable to visually represent multivariable data. 4(12), 1-8.
M. Malanchini, K. Rimfeld, A. G. Allegrini, S. J. Ritchie, R. Plomin (2020) Cognitive ability and education: how behavioural genetic research has advanced our knowledge and understanding of their association. 1-52.
A. L. Duckworth (2016) GRIT: The power of passion and perseverance. 352.
A. S. Hashim, W. A. Awadh, A. K. Hamoud (2020) Student Performance Prediction Model based on Supervised Machine Learning Algorithms. 928, 032019.
G. Mahajan, B. Saini (2020) Educational Data Mining: A state-of-the-art survey on tools and techniques used in EDM. 12(1), 310-316.
M. R. Ramdhani (2017) Discovery Learning with Scientific Approach on Geometry. 895.
I. Damyanov, N. Tsankov (2018) The Role of Infographics for the Development of Skills for Cognitive Modeling in Education. 13(1), 82-92.
J. Casagrand, K. Semsar (2017) Redesigning a course to help students achieve higher-order cognitive thinking skills: from goals and mechanics to student outcomes. 41(2), 194-202.
J. Bietenbeck (2014) Teaching Practices and Cognitive Skills. 30, 143-153.
H. Tuaputty, M. Leasa, A. D. Corebima, J. R. Batlolona (2021) The Correlation between Critical Thinking Skills and Cognitive Learning Outcomes. 20(1), 302-317.
T. Bayne, et al. (2019) What is cognition?. 29(13), R608-R615.
K. Shatri, K. Buza (2017) The Use of Visualization in Teaching and Learning Process for Developing Critical Thinking of Students. 4(1), 71-74.
K. Yuliani, S. Saragih (2015) The Development of Learning Devices Based Guided Discovery Model to Improve Understanding Concept and Critical Thinking Mathematically Ability of Students at Islamic Junior High School of Medan. 6(24), 116-128.
E. R. Lai (2011) Critical Thinking: A Literature Review. 6(40), 1-41.
U. Toharudin (2017) Critical Thinking and Problem Solving Skills: How these Skills are needed in Educational Psychology?. 66(3), 2004-2007.
G. R. Akramova (2017) Modern Approaches to Development Critical Thinking of Students. 5.
J. Maynes (2015) Critical Thinking and Cognitive Bias. 35(2), 183-203.
O. W. A. Gafour, W. A. S. Gafour (2020) Creative Thinking skills – A Review article. 4, 44-58.
M. H. Rahman (2017) Using Discovery Learning to Encourage Creative Thinking. 4(2), 98-103.
K. ÜLGER (2016) The Relationship between Creative Thinking and Critical Thinking Skills of Students. 31.
S. Suwandari, M. Ibrahim, W. Widodo (2019) Application of Discovery Learning to Train the Creative Thinking Skills of Elementary School Student. 4(12).
A. Khan, S. K. Ghosh (2021) Student performance analysis and prediction in classroom learning: A review of educational data mining studies. 26(1), 205-240.
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