Affective Learning System for Algorithmic Logic Applying Gamification

Zataraín-Cabada, Ramón; Barrón-Estrada, María Lucia; Ríos-Félix, José Mario

doi:10.1007/978-3-319-62428-0_44

Cited by 11 publications

(6 citation statements)

References 10 publications

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“…Another work reported on the significant positive impact on students' performance of the use of leaderboards in short-length programming assignments [38]. Furthermore, in the study conducted by [39], a control group of students learned logic and algorithms through traditional methods, and an experimental group learned the same content through gamification and affective recognition. Results show that students' learning outcomes were statistically significantly higher when taking into account the emotions of students and when they were motivated by means of gamification techniques.…”

Section: Related Workmentioning

confidence: 99%

Analyzing Learning Effectiveness and Students’ Perceptions of an Educational Escape Room in a Programming Course in Higher Education

et al. 2019

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Section: Related Workmentioning

confidence: 99%

Analyzing Learning Effectiveness and Students’ Perceptions of an Educational Escape Room in a Programming Course in Higher Education

et al. 2019

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“…Other countries represented in the selection are Mexico [45] in North America, Turkey [46] in Asia, Mauritius [47] in Africa, and Fiji [48] in the Pacific region 1 . Fig.…”

Section: Q4: Where Do the Studies Take Place?mentioning

confidence: 99%

“…The other two used information on the behavior of students during the performance of a given task in order to personalize their user experience. In one of them, the aim was to provide the student with useful assistance during the task [45] and the other aimed to tailor an enemy bot during a gaming experience [43].…”

Section: Q6: Which Are the Most Frequent Uses Of Ais In Student Assessment?mentioning

confidence: 99%

AI-Driven Assessment of Students: Current Uses and Research Trends

Prieto

Gamazo

Cruz-Benito

et al. 2020

Lecture Notes in Computer Science

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During the last decade, the use of AIs is being incorporated into the educational field whether to support the analysis of human behavior in teachinglearning contexts, as didactic resource combined with other technologies or as a tool for the assessment of the students.This proposal presents a Systematic Literature Review and mapping study on the use of AIs for the assessment of students that aims to provide a general overview of the state of the art and identify the current areas of research by answering 6 research questions related with the evolution of the field, and the geographic and thematic distribution of the studies.As a result of the selection process this study identified 20 papers focused on the research topic in the repositories SCOPUS and Web of Science from an initial amount of 129.The analysis of the papers allowed the identification of three main thematic categories: assessment of student behaviors, assessment of student sentiments and assessment of student achievement as well as several gaps in the literature and future research lines addressed in the discussion.

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“…In [16] they present the development of an intelligent tutor with recognition and management of emotions for mathematics. And in [17] they develop an affective learning system for algorithmic logic by applying gamification.…”

Section: Work Focused On the Analysis Of The Emotion-learning Relatimentioning

confidence: 99%

Methodology for Automatic Identification of Emotions in Learning Environments

González-Meneses¹,

Guerrero-García²,

García³

et al. 2019

RCS

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This paper presents a methodological proposal for automatic identification of emotions in educational environments using machine learning algorithms and physiological and behavioral signal acquisition technologies to identify relations between emotions and learning. Four of the main learningcentered emotions are considered [1]: engagement, boredom, confusion and frustration. It is proposed to make a fusion of data from two physiological and behavioral signal acquisition technologies with the objective of achieving the identification of emotions in the most precise manner. Therefore, considering the stages of the proposed methodology, the first of them is presented and the design of the experiment that will be executed for data collection. The development of an appropriate database with elements belonging to a learning environment for the study of emotions is an essential task.

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Affective Learning System for Algorithmic Logic Applying Gamification

Cited by 11 publications

References 10 publications

Analyzing Learning Effectiveness and Students’ Perceptions of an Educational Escape Room in a Programming Course in Higher Education

Analyzing Learning Effectiveness and Students’ Perceptions of an Educational Escape Room in a Programming Course in Higher Education

AI-Driven Assessment of Students: Current Uses and Research Trends

Methodology for Automatic Identification of Emotions in Learning Environments

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