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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Oliveira, Wilk [1, 2] ; Tenorio, Kamilla [1] ; Hamari, Juho [2] ; Pastushenko, Olena [3] ; Isotani, Seiji [1]
Total Authors: 5
Affiliation:
[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
Total Affiliations: 3
Document type: Journal article
Source: SMART LEARNING ENVIRONMENTS; v. 8, n. 1 NOV 11 2021.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 18/07688-1 - Design and automatic detection of flow experience in students and teachers in gamified intelligent educational systems
Grantee:Wilk Oliveira dos Santos
Support Opportunities: Scholarships in Brazil - Doctorate