This study constructs a reflective feedback model based on a pedagogical agent(PA)and explores its impact on students’problem-solving ability and cognitive load.A quasi-experimental design was used in the study,with ...This study constructs a reflective feedback model based on a pedagogical agent(PA)and explores its impact on students’problem-solving ability and cognitive load.A quasi-experimental design was used in the study,with 84 students from a middle school selected as the research subjects(44 in the experimental group and 40 in the control group).The experimental group used the reflective feedback model,while the control group used the factual feedback model.The results show that,compared with factual feedback,the reflective feedback model based on the pedagogical agent significantly improves students’problem-solving ability,especially at the action and thinking levels.In addition,this model effectively reduces students’cognitive load,especially in terms of internal and external load.展开更多
Little by little, we are entering the new era, intelligent interfaces are absorbing us more and more every day, and artificial intelligence makes its presence in a stealthy way. Virtual humans that represent an evolut...Little by little, we are entering the new era, intelligent interfaces are absorbing us more and more every day, and artificial intelligence makes its presence in a stealthy way. Virtual humans that represent an evolution of autonomous virtual agents;they are computer programs and in the future capable of carrying out different activities in certain environments. They will give the illusion of being human;they will have a body, and they will be immersed in an environment. They will have a set of senses that will allow them: 1) Sensations and therefore associated expressions;2) Communication;3) Learning;4) Remembering events, among others. By integrating the above, they will have a personality and autonomy, so they will be able to plan with respect to objectives;allowing them to decide and take actions with their body, in other words, they will count on awareness. The applications will be focused on environments that they will inhabit, or as interfaces that will interact with other systems. The application domains will be multiple;one of them being education. This article shows the design of OANNA like an avatar with the role of pedagogical agent. It was modeled as an affective-cognitive structure related to the teaching-learning process linked to a pedagogical agent that represents the interface of an artilect. OANNA, has the necessary animations for intervention within the teaching-learning process.展开更多
Continuous development of technology provides an opportunity to incorporate feedback in online assessments.The mode of online instruction during the pandemic was the most significant survival change.Technology enabled...Continuous development of technology provides an opportunity to incorporate feedback in online assessments.The mode of online instruction during the pandemic was the most significant survival change.Technology enabled every teacher and student to enter a virtual classroom to make sense of education.Feedback is part of language instruction and is a powerful key to improving students’learning performance.Feedback plays an influential and crucial role in teaching and learning.Feedback is an invaluable,ultimate learning tool for learners that aids them in not committing the same error again and creates impetus.Thus,knowing about formative exam feedback is students’right because quality feedback allures them.Given students’eagerness,providing feedback is considered a good practice to be followed by all the teaching faculty.Apropos of online feedback,the present study attempts to study how pedagogical agents provide online feedback in language assessments.The study also considers the characteristics of pedagogical conversational agents that are suitable for providing feedback in online language assessment.Simply put,the study encapsulates that screen agents play an essential role in students’motivation and acceptability of learning through feedback.展开更多
With the rapid development of generative artificial intelligence(GenAI),agents based on foundation models(FMs)have gradually acquired capabilities,such as multimodal perception,retrieval-augmented generation,reasoning...With the rapid development of generative artificial intelligence(GenAI),agents based on foundation models(FMs)have gradually acquired capabilities,such as multimodal perception,retrieval-augmented generation,reasoning and planning,interaction,and evolution.This study proposed a fundamental concept and framework for FM-based pedagogical agents.Centering on the FM as the technological core,the framework primarily consisted of several functional modules,including educational task setting,educational task planning,realization and expansion of educational capabilities,memory and reflection on educational content,and interactive collaboration and dynamic evolution.These modules support interaction with diverse entities and facilitate dynamic evolution,encompassing human-computer interaction,multi-agent interaction,and environment interaction.Building upon the proposed framework,this study adopted project-based learning tasks as an application scenario.It elaborated on the roles of pedagogical agents functioning as assistant agents and peer agents across various phases,such as personalized driving question formulation,collaborative project plan design,collaborative project work completion,and multi-role evaluation of project works,along with the associated supporting technologies.Furthermore,this study discussed the future development and prospects of pedagogical agents.展开更多
基金023 Zhejiang Provincial Department of Education General Project:Research on an interdisciplinary teaching model to promote the development of computational thinking in the context of the new curriculum standards[Grant NO:Y202351596]Key Project of Zhejiang Provincial Education Science Planning:Research on an interdisciplinary teaching model to promote students’computational thinking from multiple analytical perspectives[Grant NO:2025SB103].
文摘This study constructs a reflective feedback model based on a pedagogical agent(PA)and explores its impact on students’problem-solving ability and cognitive load.A quasi-experimental design was used in the study,with 84 students from a middle school selected as the research subjects(44 in the experimental group and 40 in the control group).The experimental group used the reflective feedback model,while the control group used the factual feedback model.The results show that,compared with factual feedback,the reflective feedback model based on the pedagogical agent significantly improves students’problem-solving ability,especially at the action and thinking levels.In addition,this model effectively reduces students’cognitive load,especially in terms of internal and external load.
文摘Little by little, we are entering the new era, intelligent interfaces are absorbing us more and more every day, and artificial intelligence makes its presence in a stealthy way. Virtual humans that represent an evolution of autonomous virtual agents;they are computer programs and in the future capable of carrying out different activities in certain environments. They will give the illusion of being human;they will have a body, and they will be immersed in an environment. They will have a set of senses that will allow them: 1) Sensations and therefore associated expressions;2) Communication;3) Learning;4) Remembering events, among others. By integrating the above, they will have a personality and autonomy, so they will be able to plan with respect to objectives;allowing them to decide and take actions with their body, in other words, they will count on awareness. The applications will be focused on environments that they will inhabit, or as interfaces that will interact with other systems. The application domains will be multiple;one of them being education. This article shows the design of OANNA like an avatar with the role of pedagogical agent. It was modeled as an affective-cognitive structure related to the teaching-learning process linked to a pedagogical agent that represents the interface of an artilect. OANNA, has the necessary animations for intervention within the teaching-learning process.
文摘Continuous development of technology provides an opportunity to incorporate feedback in online assessments.The mode of online instruction during the pandemic was the most significant survival change.Technology enabled every teacher and student to enter a virtual classroom to make sense of education.Feedback is part of language instruction and is a powerful key to improving students’learning performance.Feedback plays an influential and crucial role in teaching and learning.Feedback is an invaluable,ultimate learning tool for learners that aids them in not committing the same error again and creates impetus.Thus,knowing about formative exam feedback is students’right because quality feedback allures them.Given students’eagerness,providing feedback is considered a good practice to be followed by all the teaching faculty.Apropos of online feedback,the present study attempts to study how pedagogical agents provide online feedback in language assessments.The study also considers the characteristics of pedagogical conversational agents that are suitable for providing feedback in online language assessment.Simply put,the study encapsulates that screen agents play an essential role in students’motivation and acceptability of learning through feedback.
基金supported by the 2021 Key Program of the 14th Five-Year Plan of Beijing Education Science,"Research on the Development of a Next-Generation Intelligent Tutoring System Driven by Artificial Intelligence"(No.CHAA21036).
文摘With the rapid development of generative artificial intelligence(GenAI),agents based on foundation models(FMs)have gradually acquired capabilities,such as multimodal perception,retrieval-augmented generation,reasoning and planning,interaction,and evolution.This study proposed a fundamental concept and framework for FM-based pedagogical agents.Centering on the FM as the technological core,the framework primarily consisted of several functional modules,including educational task setting,educational task planning,realization and expansion of educational capabilities,memory and reflection on educational content,and interactive collaboration and dynamic evolution.These modules support interaction with diverse entities and facilitate dynamic evolution,encompassing human-computer interaction,multi-agent interaction,and environment interaction.Building upon the proposed framework,this study adopted project-based learning tasks as an application scenario.It elaborated on the roles of pedagogical agents functioning as assistant agents and peer agents across various phases,such as personalized driving question formulation,collaborative project plan design,collaborative project work completion,and multi-role evaluation of project works,along with the associated supporting technologies.Furthermore,this study discussed the future development and prospects of pedagogical agents.
