Abstract
The study investigates learning activities of students making explanations about a key concept in an online system with a Pedagogical Conversational Agent providing (1) facilitation on learners' explanations from various views and (2)social facilitation prompts of other members in the classroom. A total of 314 learner's explanation activities were collected and their input messages were analyzed by conducting a lexical network analysis which enables to capture the diversity of the learners explanations. The results of the analysis showed that those using the PCAs with social feedback about other members, described the key concept more sufficiently using various categorical explaining words. The results provide implications on how to design online tutoring systems based on social facilitation and how massive textual data can be analyzed using network analysis.
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