Pedagogical Agents to Support Embodied, Discovery-based Learning

被引：17

作者：

Abdullah, Ahsan ^{[1
]}

Adil, Mohammad ^{[1
]}

Rosenbaum, Leah ^{[2
]}

Clemmons, Miranda ^{[2
]}

Shah, Mansi ^{[2
]}

Abrahamson, Dor ^{[2
]}

Neff, Michael ^{[1
]}

机构：

[1] Univ Calif Davis, Davis, CA 95616 USA

[2] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

INTELLIGENT VIRTUAL AGENTS, IVA 2017 | 2017年 / 10498卷

基金：

美国国家科学基金会;

关键词：

pedagogical agents; discovery-based learning; dynamic decision networks; TUTOR;

D O I：

10.1007/978-3-319-67401-8_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a pedagogical agent designed to support students in an embodied, discovery-based learning environment. Discovery-based learning guides students through a set of activities designed to foster particular insights. In this case, the animated agent explains how to use the Mathematical Imagery Trainer for Proportionality, provides performance feedback, leads students to have different experiences and provides remedial instruction when required. It is a challenging task for agent technology as the amount of concrete feedback from the learner is very limited, here restricted to the location of two markers on the screen. A Dynamic Decision Network is used to automatically determine agent behavior, based on a deep understanding of the tutorial protocol. A pilot evaluation showed that all participants developed movement schemes supporting proto-proportional reasoning. They were able to provide verbal proto-proportional expressions for one of the taught strategies, but not the other.

引用

页码：1 / 14

页数：14

共 36 条

[1] Coordinating visualizations of polysemous action: values added for grounding proportion [J].