As people can learn and solve problems together that they cannot do alone, automatic analysis of conversations can yield insights for improving them to aid learning and teaching. Such automatic analyses must successfully traverse the obstacle course of voice transcription, categorization, and statistical analysis. Automated transcription is available commercially, and computational linguistics enables automatic categorization. Hence, this talk focuses on automated statistical analysis (statistical discourse analysis [SDA] + artificial intelligence expert system). SDA models (a) pivotal actions that radically change subsequent processes and (b) effects of explanatory variables at multiple levels (sequences of turns/messages, time period, individual, group, organization, etc.) on target actions. The expert system translates a theoretical model into a statistical model, tests it on the data, interprets the results, (if needed, rewrites itself to run a revised analysis), and prints a table of results. Automated SDA is illustrated on 17 students’ 1330 messages in 13 weekly discussions of their lesson designs. Copyright © 2018 CSEPT.
|Publication status||Published - Oct 2018|
|Event||The 13th Cross-Straits Conference on Educational and Psychological Testing Chinese Association of Psychological Testing Annual Conference - Taichung, Taiwan, Province of China|
Duration: 19 Oct 2018 → 21 Oct 2018
|Conference||The 13th Cross-Straits Conference on Educational and Psychological Testing Chinese Association of Psychological Testing Annual Conference|
|Abbreviated title||CSEPT 2018|
|Country/Territory||Taiwan, Province of China|
|Period||19/10/18 → 21/10/18|