Producto académico y profesorado en la era de la Inteligenica Artificial según la percepción de los estudiantes
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2023
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Dykinson
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Abstract
Este artículo pretende realizar un análisis del impacto que la Inteligencia Artificial (IA) tiene en el papel que ejerce el profesorado universitario en los procesos de educación del alumnado matriculado en Grados de Ciencias Sociales, basándonos en un estudio sobre sus expectativas y percepciones.
En la actualidad, la Inteligencia Artificial (IA), si la entendemos como aquel tipo de tecnología cuya finalidad es tratar de reproducir el com-portamiento humano y nuestros modelos de aprendizaje a través de di-ferentes herramientas, hace que estemos asistiendo a un uso cada vez más generalizado. Si bien el análisis de sus consecuencias sobre la en-señanza han sido estudiadas en diferentes disciplinas (psiquiatría, psico-logía, ciencias políticas, derecho, etc.) a través de diferentes publicacio-nes científicas, no existen hasta la fecha investigaciones que enfaticen sobre el cometido del profesorado desde la óptima de su alumnado. En este sentido, y siguiendo a García-Peñalbo (2023), con la irrupción del sistema ChatGPT, así como de otras herramientas generativas de Inteligencia conversacional, estamos asistiendo al tránsito de una tecnología de ju-guete a otra que plantea una innovación disruptiva, y que genera expectación y temores a partes iguales, y en este debate la universidad no puede permanecer impasible.
Por el momento, el debate académico generado en torno a este tema por diferentes personas expertas en la materia, si bien es consciente de la importancia que tiene el aprendizaje del alumnado como cuestión fun-damental en la que sin duda influirá la inteligencia artificial, no está con-siderando (excepto en raras excepciones) el punto de vista y la perspec-tiva del estudiantado, quien sin duda es el auténtico protagonista del proceso. Por lo tanto, esta investigación pretende aminorar esta carencia de publicaciones relativas a la postura que tiene el alumnado en relación a la IA, y sobre todo, tiene como principal propósito, averiguar qué con-sidera el alumnado respecto de la postura que debería tomar el profeso-rado en esta materia.
Como señalamos, en este estudio se exponen algunas conclusiones rele-vantes a partir de las opiniones de las personas encuestadas, por ejemplo las escasas expectativas existentes en la actualidad tanto en la ordena-ción académica como en las competencias adquiridas (con alguna ex-cepción) que dicho estudiantado espera de la IA a sabiendas de su reper-cusión mediática. Esta y otras cuestiones conforman los resultados que a continuación se exponen.
En síntesis, este análisis comienza explicando tanto los objetivos como la pregunta de investigación, posteriormente se expone la metodología utilizada en el mismo (a partir de la explotación de los datos cuantitati-vos obtenidos en la encuesta). A continuación, se especifican los hallaz-gos del trabajo de campo ejecutado, que formarán parte del debate aca-démico sobre el impacto de la IA en el aprendizaje universitario. Por último, se enumeran las conclusiones más importantes del mismo.
This article aims to carry out an analysis of the impact that Artificial Intelligence (AI) has on the role played by university professors in the education processes of students enrolled in Social Sciences Degrees, based on a study on their expectations and perceptions. Currently, Artificial Intelligence (AI), if we understand it as that type of technology whose purpose is to try to reproduce human behavior and our learning models through different tools, means that we are witnessing a use increasingly widespread. Although the analysis of its consequences on teaching has been studied in different disciplines (psychiatry, psychology, political science, law, etc.) through different scientific publications, to date there is no research that emphasizes about the role of teachers from the perspective of their students. In this sense, and following García-Peñalbo (2023), with the emergence of the ChatGPT system, as well as other generative tools of Conversational Intelligence, we are witnessing the transition from a toy technology to another that poses a disruptive innovation, and what generates expectation and fears in equal parts, and in this debate the university cannot remain impassive. For the moment, the academic debate generated around this topic by different experts in the field, although aware of the importance of student learning as a fundamental issue that artificial intelligence will undoubtedly influence, does not It is considering (except in rare exceptions) the point of view and perspective of the student body, who is undoubtedly the authentic protagonist of the process. Therefore, this research aims to reduce this lack of publications related to the position that students have in relation to AI, and above all, its main purpose is to find out what students consider regarding the position that the student should take. professor in this subject. As we noted, this study presents some relevant conclusions based on the opinions of the people surveyed, for example the low expectations that currently exist both in academic organization and in the acquired competencies (with some exceptions). ) that said students expect from AI, knowing its media impact. This and other questions make up the results presented below. In summary, this analysis begins by explaining both the objectives and the research question, then the methodology used in it is explained (based on the exploitation of the quantitative data obtained in the survey). Below, the findings of the field work carried out are specified, which will form part of the academic debate on the impact of AI on university learning. Finally, the most important conclusions are listed.
This article aims to carry out an analysis of the impact that Artificial Intelligence (AI) has on the role played by university professors in the education processes of students enrolled in Social Sciences Degrees, based on a study on their expectations and perceptions. Currently, Artificial Intelligence (AI), if we understand it as that type of technology whose purpose is to try to reproduce human behavior and our learning models through different tools, means that we are witnessing a use increasingly widespread. Although the analysis of its consequences on teaching has been studied in different disciplines (psychiatry, psychology, political science, law, etc.) through different scientific publications, to date there is no research that emphasizes about the role of teachers from the perspective of their students. In this sense, and following García-Peñalbo (2023), with the emergence of the ChatGPT system, as well as other generative tools of Conversational Intelligence, we are witnessing the transition from a toy technology to another that poses a disruptive innovation, and what generates expectation and fears in equal parts, and in this debate the university cannot remain impassive. For the moment, the academic debate generated around this topic by different experts in the field, although aware of the importance of student learning as a fundamental issue that artificial intelligence will undoubtedly influence, does not It is considering (except in rare exceptions) the point of view and perspective of the student body, who is undoubtedly the authentic protagonist of the process. Therefore, this research aims to reduce this lack of publications related to the position that students have in relation to AI, and above all, its main purpose is to find out what students consider regarding the position that the student should take. professor in this subject. As we noted, this study presents some relevant conclusions based on the opinions of the people surveyed, for example the low expectations that currently exist both in academic organization and in the acquired competencies (with some exceptions). ) that said students expect from AI, knowing its media impact. This and other questions make up the results presented below. In summary, this analysis begins by explaining both the objectives and the research question, then the methodology used in it is explained (based on the exploitation of the quantitative data obtained in the survey). Below, the findings of the field work carried out are specified, which will form part of the academic debate on the impact of AI on university learning. Finally, the most important conclusions are listed.