Agente pedagógico conversacional basado en reglas, para el fortalecimiento de la inteligencia múltiple verbal lingüística de los estudiantes de ingeniería de sistemas de la UNL.

Technology advances by leaps and bounds, making inroads in all fields. In the educational context, a great advance can be identified, among which is the use of Pedagogical Agents of Conversation (ACP). Computer systems that interact with students through natural language, either as a teacher, studen...

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Bibliographische Detailangaben
1. Verfasser: Quizhpe Cango, Angel Eduardo (author)
Format: bachelorThesis
Sprache:spa
Veröffentlicht: 2020
Schlagworte:
Online Zugang:http://dspace.unl.edu.ec/jspui/handle/123456789/23417
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Beschreibung
Zusammenfassung:Technology advances by leaps and bounds, making inroads in all fields. In the educational context, a great advance can be identified, among which is the use of Pedagogical Agents of Conversation (ACP). Computer systems that interact with students through natural language, either as a teacher, student or fellow student. For this reason, the objective of this Degree Work (TT) is the development of a rules-based ACP prototype to support the strengthening of Multiple Verbal Linguistic Intelligence (IMVL) of the students of the University of Systems Engineering Degree. Loja National (CEI - UNL); For this purpose, the research question is: Is it possible to implement an IMVL development technique in the technology of Conversational Agents? To answer this question, it is addressed in three phases. The first, through a literary review and with the help of an expert in pedagogy (IMVL), identifies and selects the technique to strengthen IMVL in university students: making inferences from reading a text in the field of comprehension reading as an ACP teaching technique. As a second phase, the design and construction of the conversation model in the AIML (Artificial Intelligence Markup Language) with the pattern of questions and answers was carried out following Russell's methodology, creating a structure for the knowledge files in AIML, such structure represents the ACP knowledge base. In the third phase, the model is implemented on a platform for conversational agents; First, a study of the AIML interpretation platforms was carried out. The platforms that were investigated were Pandorabots and Program-o; Subsequently, the dialogue was implemented in the Program Platform -o following the XP methodology; Then an experimentation was carried out with the students of the CIS-UNL, giving as a positive result the ACP as a tool in the training process after evaluating the survey responses using the Likert scale.