標題: The Design of Social Agents That Introduce Self-reflection in a Simulation Environment
作者: Lei, Pei-Lan
Lin, Sunny S. J.
Wang, Dai-Yi
Sun, Chuen-Tsai
教育研究所
資訊工程學系
Institute of Education
Department of Computer Science
關鍵字: Simulation;Intelligent agent;Self-reflection;Multiple intelligence
公開日期: 1-Jul-2013
摘要: This study focuses on the design of several social agents that are intended to collect the self-reflections of learners while learners are immersed in simulation activities for knowledge building. The design of the agents follows 5W principles and seeks to encourage learners to expend mental effort upon multi-faceted learning and self-reflection. Using semantic networks, we developed dialogue lines for reflection-prompting agents. We analyzed the participants' answers using natural language processing technology to classify the sentences into positive and negative rankings. A preliminary field study with 117 high school students was conducted over three weeks to test the effects of agent-prompted self-reflection. The results demonstrated that 96% and 62% of participants separately completed the first and the second simulation activities (including the agent-prompted self-reflections respectively). Those who did not finish the activities were generally limited by time restrictions rather than a lack of motivation, as the participants typically considered the interactions with the agents to be interesting. The self-reflections elicited through the agent interviews were consistent with the reflections obtained from paper-pencil questionnaires and appeared to be stable over time. Future study, including investigations using a randomized experimental design with a control group, is needed to fully assess the effects of agent-prompted self-reflection.
URI: http://hdl.handle.net/11536/22841
ISSN: 1436-4522
期刊: EDUCATIONAL TECHNOLOGY & SOCIETY
Volume: 16
Issue: 3
起始頁: 152
結束頁: 166
Appears in Collections:Articles