SISTEM SUPORT INTELIGENT PENTRU PREGĂTIREA OLIMPICILOR LA MATEMATICĂ

Vasilica Traiana GHIȚĂ

Abstract


În lucrarea de față este expusă o metodologie inteligentă de sporire a performanțelor olimpice la matematică grație elaborării și aplicării planurilor personalizate de pregătire a olimpicilor. Metodologia este asistată de un Sistem Suport Inteligent realizat în Wolfram Mathematica. Sistemul permite elaborarea oricărui număr de probleme olimpice perso­na­lizate necesare antrenamentului fiecărui olimpic.

 

INTELLIGENT SUPPORT SYSTEM OF TRAINING THE MATHEMATICS OLYMPIADS PARTICIPANTS

The present paper presents an intelligent methodology to increase the Olympic performances in mathematics thanks to the elaboration and application of the personalized plans for the preparation of the mathematics Olympiads participants. The methodology is assisted by an Intelligent Support System developed in Wolfram Mathematica. The system allows the elaboration of any number of customized Olympic problems necessary for the training of each candidate at the Mathe­matics Olympiads.


Keywords


artificial intelligence, custom tasks, intelligent support system, problem composer, problem solver.

Full Text:

PDF

References


Dicționarul explicativ al limbii române. Ediția a II-a revăzută și adăugită. Academia Română, Institutul de Lingvistică „Iorgu Iordan”, Editura Univers Enciclopedic Gold, 2016. 1376 p .

WANG, D. et al. A problem solving oriented intelligent tutoring system to improve students’ acquisition of basic computer skills. In: Comput. Educ., 2015, no.81, p.102-112.

MA, W. et al. Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis. In: J. Educ. Psychol., 2014, p.901-918.

KING, M. et al. Personalized education: From curriculum to career with cognitive systems, 2016, p.16.

HUTCHINS, D. AI Boosts Personalized Learning in Higher Education // EdTech. 2017. URL: https://edtechmagazine.com/higher/article/2017/11/ai-boosts-personalized-learning-higher-education. Accesat: 29.09.2019

https://translate.google.com/translate?hl=ro&sl=en&u=https://en.wikipedia.org/wiki/K%25E2%2580%259312&prev=search. Accesat: 29.09.2019

https://translate.google.com/translate?hl=ro&sl=en&u=https://en.wikipedia.org/wiki/Gamification&prev=search. Accesat: 30.09.2019

Knewton [Electronic resource]. URL: https://www.knewton.com/. Accesat: 30.09.2019

Highlight: our personalized learning platform [Electronic resource]. URL: https://www.edelements.com/blog/highlight-our-personalized-learning-platform. Accesat: 30.09.2019.

Immersive reader [Electronic resource]. URL: https://www.onenote.com/learningtools. Accesat: 30.09.2019.

Watson Education Classroom [Electronic resource]. URL: https://www.cerego.com/ Accesat: 30.09.2019.

Cerego: Intelligent Learning Software for Companies & Educators [Electronic resource]. URL: https://www.cerego.com/. Accesat: la 30.09.2019

JOHN, A. Four Reasons to Worry About “Personalized Learning.” URL: https://www.alfiekohn.org/blogs/personalized/. Accesat: la 30.09.2019

FELDER, R.M., SILVERMAN, L.K. Learning and teaching styles in engineering education. In: Engineering education, 1988, no.78(7), p.674-681.

FLEMING, N.D. Teaching and learning styles: VARK strategies. IGI Global, 2001. 128 p.

KOLB, A.Y., KOLB, D.A. Learning styles and learning spaces: Enhancing experiential learning in higher education. In: Academy of management learning & education, 2005, no.4(2), p.193-212.

HONEY, P., MUMFORD, A. Styles of learning. Gower Handb. In: Manag. Dev., 1994, no.101, p.101-111.

GHIȚĂ, V.T., CĂPĂȚÂNĂ, Gh. O metodologie de pregătire a olimpicilor. În: Materialele Conferinței internaționale „Mathematics & Information Tehnologies: Research and Education”. Chișinău, 2019, p.92.

CĂPĂȚÂNĂ, Gh. A Programming Paradigm Oriented to Families of Problems. In: The Scientific Bulletin Addendum, 2019, no.4 The Official Catalogue of the „Cadet INOVA” Exhibition Research and Innovation in the Vision of Young Researchers the International Student Innovation and Scientific Research Exhibition – „Cadet INOVA’19” – „Nicolae Bălcescu” Land Forces Academy Sibiu, April 11-13, 2019, p.72-83. ISSN 2501-3157, ISSN-L 2501-3157, http://cadetinova.ro/documente/Supliment_Inova_19.pdf.

BELDIGA (VASILACHE) M., BRĂGARU T., CĂPĂŢÂNĂ Gh. Generatoare inteligente orientate pe familii de prob-leme decizionale pentru e-Learning. În: Revista Română de Informatică și Automatică, 2013, vol.23, nr.2, p.41-56.


Refbacks

  • There are currently no refbacks.