03/28/19 - Visiting Professor Lecture: "Analyzing Big Data via Artificial Intelligence and Statistics: Automatic Analysis of Conversations"

Visiting Professor Lecture: "Analyzing Big Data via Artificial Intelligence and Statistics: Automatic Analysis of Conversations"
03/28/2019, 07:00 PM - 08:00 PM
March 28
2019/03/28 19:00
Thursday, March 28, 2019
07:00 PM
08:00 PM

Lecture Abstract:

As people solve problems together that they cannot do alone, automatic analysis of conversations can inform and enhance their design to aid learning and teaching. Such analyses must traverse the obstacle course of voice transcription, complex categorization, and statistical analysis. Automated transcription feeds automatic categorization via computational linguistics to create a database (Big Data). Automated statistical analysis integrates statistical discourse analysis (SDA) and artificial intelligence. SDA models (a) pivotal actions that radically change subsequent processes and (b) explanatory variables at multiple levels (sequences of turns/messages, time periods, individuals, groups, organizations, etc.) on multiple target actions. The artificial intelligence expert system translates our theory into a statistical model, tests it on the data, interprets the results, (if needed, rewrites itself to execute revised analyses), and prints a table of results. We showcase automated SDA on 321,867 words in 1,330 messages by 17 student-teachers in 13 weekly online discussions of lesson designs.

Speaker Bio:

Ming Ming CHIU is Chair Professor of Analytics and Diversity (Honor) and Director of the Assessment Research Center at The Education University of Hong Kong. A graduate of Columbia (BS, computer science), Harvard (EdM, interactive technology) and UC-Berkeley (PhD, education), he advises Qatar’s Ministry of Education and China’s Ministry of Education’s National Evaluation of Primary and Secondary Schools. He invented (a) statistical discourse analysis to model online and face-to-face conversations (one of the best 50 learning science ideas –International Society of the Learning Sciences), (b) multilevel diffusion analysis to detect corruption in the music industry and how ideas/behaviors spread through populations, (c) artificial intelligence Statistician, and (d) online detection of sexual predators. His 40 grants (US$9.4 million) yielded 195 publications (109 journal articles; 6,000+ citations), 3 television broadcasts, 17 radio broadcasts, and 149 news articles in 21 countries. He studies automatic statistical analyses, inequalities, culture, and learning in 65 countries.


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Tanya Christ