Video Experimental Relacionado

Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Modelado de la adopción de grandes modelos lingüísticos por parte de los estudiantes de la formación docente a través

Yulin Gong¹, Chengshu Xu^2,3, Suwen Luo⁴

¹China Institute of Rural Education Development, Northeast Normal University, Changchun City, 130024, China.

Scientific reports

|September 1, 2025

Resumen

Estudiantes de la formación docente

Área de la Ciencia:

Tecnología educativa
La inteligencia artificial en la educación

Sus antecedentes:

Los grandes modelos lingüísticos (LLM) se integran cada vez más en la educación para el apoyo a la escritura.
Comprender la aceptación de LLM por parte de los estudiantes de formación docente es crucial para la transformación digital en la educación.

Objetivo del estudio:

Investigar los factores que influyen en la adopción de LLM por parte de los estudiantes de formación docente.
Extender el modelo de aceptación de tecnología (TAM) con variables como la motivación, los riesgos, la autoeficacia y la experiencia.

Principales métodos:

Se utilizó el modelo de ecuaciones estructurales (SEM) para analizar los datos de la encuesta.
Datos recopilados de 552 estudiantes de cuarto año de formación docente en China.

Principales resultados:

Las normas subjetivas predicen fuertemente la intención del comportamiento.
La facilidad de uso percibida influye positivamente en las actitudes hacia los LLM.
El riesgo de tiempo percibido afecta negativamente a la utilidad percibida; el riesgo de privacidad afecta a la facilidad de uso percibida.
La experiencia de uso mejora la motivación para el aprendizaje, fomentando la adopción.

Conclusiones:

Los hallazgos amplían las aplicaciones de TAM en tecnología educativa.
Proporcionar ideas para diseñar la capacitación tecnológica y optimizar las experiencias de los usuarios de LLM.
Ofrecer un marco para la formación en alfabetización digital de los futuros profesores.

Palabras clave:

Educación superior El modelo de lenguaje grande (LLM)Modelo de ecuación estructural (SEM)Estudiantes de la formación docente Modelo de aceptación de tecnología (TAM)

Más Videos Relacionados

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

Videos de Conceptos Relacionados

Modeling in Therapy

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...

Steps in the Modeling Process

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...

Observational Learning

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...

Language Development

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...

Typical Model Studies

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

Stereotype Content Model

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...