Speaker: Art GRAESSER, The University of Memphis, USA
Moderator: Antonija (Tanja) MITROVIC, University of Canterbury, New Zealand
Curated by: APSCE EUPQ SIG (S9)

Date: 13 April 2021 (Tuesday)
Time: 21:00-22:00 (GMT-5)
FREE Registration (due 11 April): https://apsce.net/webinar
Abstract:My colleagues and I at the Institute for Intelligent Systems at University of Memphis have developed a number of intelligent computer learning environments on the Internet for different adult populations. These systems implement eight learning affordances in the digital age that were identified in the recent second edition of How People Learn (National Academy of Sciences, Engineering, and Medicine, 2018): interactivity, adaptivity, feedback, choice, nonlinear access, linked representations, open-ended learner input, and communication with others. AutoTutor helps people learn with conversational dialogues that hold conversations in natural language. Three-party conversations, called trialogues, help students with two agents (such as a tutor and a peer). These systems with intelligent natural language have improved learning in computer literacy, physics, biology, scientific reasoning, reading comprehension, and many other topics.