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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Predicting students' flow experience through behavior data in gamified educational systems

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Autor(es):
Oliveira, Wilk [1, 2] ; Tenorio, Kamilla [1] ; Hamari, Juho [2] ; Pastushenko, Olena [3] ; Isotani, Seiji [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil
[2] Tampere Univ, Fac Informat Technol & Commun Sci, Gamificat Grp, Tampere - Finland
[3] Brno Univ Technol, Fac Informat Technol, Brno - Czech Republic
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: SMART LEARNING ENVIRONMENTS; v. 8, n. 1 NOV 11 2021.
Citações Web of Science: 0
Resumo

The flow experience (i.e., challenge-skill balance, action-awareness merging, clear goals, unambiguous feedback, concentration, sense of control, loss of self-consciousness, transformation of time, and autotelic experience) is an experience highly related to the learning experience. One of the current challenges is to identify whether students are managing to achieve this experience in educational systems. The methods currently used to identify students' flow experience are based on self-reports or equipment (e.g., eye trackers or electroencephalograms). The main problem with these methods is the high cost of the equipment and the impossibility of applying them massively. To address this challenge, we used behavior data logs produced by students during the use of a gamified educational system to predict the students' flow experience. Through a data-driven study (N = 23) using structural equation modeling, we identified possibilities to predict the students' flow experience through the speed of students' actions. With this initial study, we advance the literature, especially contributing to the field of student experience analysis, by bringing insights showing how to step towards automatic students' flow experience identification in gamified educational systems. (AU)

Processo FAPESP: 18/07688-1 - Design e detecção automática de experiência de fluxo em estudantes e professores em sistemas educacionais inteligentes gamificados
Beneficiário:Wilk Oliveira dos Santos
Modalidade de apoio: Bolsas no Brasil - Doutorado