Architecting an Intelligent Tutoring System with an Affective Dialogue Module

Jiménez, Samantha; Juárez‐Ramírez, Reyes; Navarro, Raul; Coronel, Arturo; Castillo, Víctor H.

doi:10.1109/conisoft.2016.27

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…Additionally, ITS provides immediate feedback for learners to personalize and optimize learning ability and make the teaching process easier [20]. It can be used both within the classroom and for distance education via the internet [21]. When developing ITSs a broad knowledge of the study area must be considered including topic and course content as well as an understanding of the students' knowledge base, ability and behaviour.…”

Section: Intelligent Tutoring Systemmentioning

confidence: 99%

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

2019

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<p class="0abstract">The objectives of this research are to analyse and assess an intelligent graphical tutoring system using the internet of things (IoT) to develop the efficiency of embedded systems. The research findings suggest that an intelligent system is composed of six modules: 1) student, 2) graphical tutoring, 3) expert, 4) knowledge, 5) evaluation and 6) user interface. The result of a composition assessment performed by experts indicates that the overall results are at a high level. The system suitability scored the highest level which can be applied to real life situations.</p>

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Section: Intelligent Tutoring Systemmentioning

confidence: 99%

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

2019

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“…The evaluation of the educational lexicon could help to measure the affectivity of the communications with students either in a computer environment or in a face-to-face scenario. We developed an ITS that provided affective support to the students; Jiménez, Juárez-Ramírez, Navarro, Coronel, and Castillo (2016) detail the architecture of this ITS. The system provides affective support to students using the words and phrases that are presented in this study.…”

Section: Assessing the Impact Of Affective Lexicon On Student Motivation To Learnmentioning

confidence: 99%

The use of a weighted affective lexicon in a tutoring system to improve student motivation to learn

et al. 2019

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In recent years, several educational systems have integrated text-based affective feedback. However, analyses of the educational lexicon from the affectivity perspective are scarce. The provision of affective support by these systems is significant because it improves student motivation to learn. This study analyzes the use of a weighted affective lexicon in tutoring systems to improve student motivation. First, based on the suggestions of 166 undergraduate students, this study constructed and evaluated an educational lexicon in Spanish. Additionally, after considering the assessment of another group of 185 undergraduate students, this study provides an interpretation of words/phrases on a valence and arousal scale. The authors carried out a comprehensive analysis to categorize the words/phrases. Furthermore, this study integrates an affective lexicon in a tutoring system. Finally, this paper presents a review of the impacts of this system on the motivation of its potential users. The authors believe that the results of the present study will support the development of a highly adopted Intelligent Tutoring Systems (ITSs), which will benefit prospective users.

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“…However, TIPOO could support material and information of any course. It pretends to provide students a computer‐based tool for auto‐didactic sessions of learning, which is more centralized in learning contents than the open web‐based environments of learning [11,13]. present the implementation details of TIPOO.…”

Section: Integration Of the Affective Feedback System In An Itsmentioning

confidence: 99%

A feedback system to provide affective support to students

Jiménez

Juárez‐Ramírez

Castillo

et al. 2018

Comp Applic In Engineering

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Learning support systems need to provide direct and affective interaction to students; it can encourage them and improve their motivation to learn. However, several systems do not include this kind of interaction between students and tutors. In those cases, the student learning interest and motivation to learn could be negatively affected, and student profits from the system could be impoverished. Only a few works have examined the influence of written affective feedback, but these studies focused on student learning outcomes, not in student motivation to learn. The objective of this work is to analyze the impact of an affective feedback system on the students’ perception of two aspects: (i) the degree to which study time is enjoyable and (ii) the motivation to learn. Results show that the affective feedback system makes more enjoyable study time and motivates students to learn, particularly to students with low academic performance. These system enhancements eventually would improve student‐learning outcomes.

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Architecting an Intelligent Tutoring System with an Affective Dialogue Module

Cited by 8 publications

References 21 publications

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

The use of a weighted affective lexicon in a tutoring system to improve student motivation to learn

A feedback system to provide affective support to students

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