An Experimental Investigation on Using Pedagogical Conversational Agents: Effects of Posing Facilitation Prompts in Oral-Based Peer Learning
Abstract
This study investigates the use of pedagogical conversational agents (PCAs) that intervene in learner-learner collaborative learning activities. In addition, this study investigates how the quality of learning performance in a simple concept explanation task may change due to the use of multiple PCAs that pose different types of facilitation prompts to the learners. A controlled experiment was performed by comparing a condition using multiple PCAs wherein each PCA provided different types of facilitations with a condition using multiple PCAs wherein each PCA provided a mixture of the two types of facilitations. Using the WOZ method, this study reports the preliminary results of an analysis of oral-based peer learning. Lexical network analysis was used to understand the complexity of learner’s semantic knowledge over two-time series. The results of the analysis show that when multiple PCAs were used with different facilitation prompts, the lexical network became more complex, showing that the learners developed a more sophisticated knowledge about the concept throughout their explanations. The significance of using multiple PCA is that it allows different types of contents to be considered during interaction.Downloads
Download data is not yet available.
Downloads
Published
2017-12-04
Conference Proceedings Volume
Section
Articles
How to Cite
An Experimental Investigation on Using Pedagogical Conversational Agents: Effects of Posing Facilitation Prompts in Oral-Based Peer Learning. (2017). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/2117