Teachable Agent(可教学代理)是一种基于人工智能的教育技术工具,旨在通过模拟学习过程增强学生的主动参与和教师的教学效果。其核
推动教育创新:Teachable Agent的出现,将促进教育模式的创新和变革,推动教育向更加智能化、个性化的方向发展。 提升学习效率:通过智能分析和个性化指导,Teachable Agent能够帮助学生更快地掌握知识,提高学习效率。 拓展教育资源:Teachable Agent能够打破地域和时间的限制,为更多人提供优质的教育资源和学习机会。 培养创新能力:...
They received RF when they observed their teachable agent play a prediction game against a second competitor agent. On a posttest, these students exhibited greater abilities to use logic to solve novel problems compared to students in control conditions who received direct feedback by playing ...
。根据定位词,定位至第一、二句:Feedback from the teachable agents further enhances the tutors' learning.“The agents’ questions compel student tutors to think and explain the materials in different ways, and watching the agent solve problems allows them to see their knowledge put into action.”...
This paper discusses Betty’s Brain, a teachable agent in the domain of river ecosystems that combines learning by teaching with self-regulation mentoring to promote deep learning and understanding. Two studies demonstrate the effectiveness of this system. The first study focused on components that de...
Does a teachable agent influence the uptake or neglect of 'critical constructive feedback' and learning within a digital environment? 285 middle-school students engaged with a history learning game in a 2x2 study design. One dimension was inclusion of a teachable agent. Orthogonal was whether ...
This paper presents an educational game in mathematics based on an apprenticeship model using a teachable agent, as well as an evaluative study of how the game affects (1) conceptual understanding and (2) attitudes towards mathematics. In addition, we discuss how collaborative and competitive afford...
This study examines the effects of teachable agents’ expressed self-efficacy on students. A total of 166 students, 10- to 11-years-old, used a teachable agent-based math game focusing on the base-ten number system. By means of data logging and questionnaires, the study compared the effects...
2. The most cutting-edge tool under development is the "teachable agent"— a computerized character who learns, tries, makes mistakes and asks questions just like a real-world pupil. 正在开发的最前沿的工具是 “可教的代理”——一个计算机化的角色,它像现实世界中的学生一样学习、尝试、犯错和提问...
The crisis in science education and the need for innovative computer-based learning environments has prompted us to develop a multi-agent system, Betty's Brain that implements the learning by teaching paradigm. The design and implementation of the system based on cognitive science and education resea...