ALTTAI Weekly Virtual Seminar is one of the signature activities of the consortium. The weekly seminar has been a collaborative platform for relevant faculty members, graduate students, and industry partners. 

• There is a theme for each year. The theme of each year will be determined during ALTTAI annual learning sciences summit. 
• The weekly seminar will be 60 minutes in the morning (US CST), afternoon (Europe CET), and evening (China BJT). • Weekly Seminar will observe national holidays of the perspective countries/regions. There will be no seminar during university holidays for UM, CCNU, NTCU, TUGraz. 
• The activities and presentations are organized by graduate students from each of the institutions. 

There three possible types of content of ALTTAI Seminar on any given day: 

• Invited lecture from guests. We will invite researchers from relevant research areas to give lectures. This will be about 10% of the seminar. 
• Review and demonstration of new technologies. We will frequently explore new learning systems and data analytical methods. This will be about 20% of the seminars. 
• Presentations of papers on a relevant theme. Students (and participants from industry partners) form a team to introduce recent studies from selected research theme. 

Requirements for participation: 

• Participation: 
• Students from each of the ALTTAI consortium institutions are welcome. 
• Researchers from partnership industries are invited 
• Preparation: 
• Agenda will be available two weeks prior to each seminar. Participants are required to prepare for the seminar: 
• Read-ahead papers for invited lectures and student presentations 
• Functional computers to be ready for technology review. 
• Presentation: Presentation teams need to prepare their presentations in the following fixed format: 
• One of the presenters spends 30 minutes to provide an overview of the paper. 
• Presenters should find 3 collaborators to give feedback on their presentations.
• When preparing presentations, presenters should include some real-life examples about the topic they present.
• When preparing presentations, presenters come up with some intuitive questions and think about how they can answer these questions.
• The remain three presenters present 10 minutes in Ignite-style that have the following elements: 
• What has been done by the author(s)? – 1 minute. 
• What is the theoretical foundation of the chapter? - 1 minute. 
• What is (are) the basic assumption(s) of the chapter? - 2 minutes.
• What would happen if one of the assumptions is not supported? - 2 minutes.
• What would you do to improve the article if you write it today? - 4 minutes.

The relevant theme of focus in 2018-2019 is Learning Modeling in Intelligent Tutoring Systems. The articles are selected from the first volume of the Design Recommendations for Intelligent Tutoring Systems. http://tiny.cc/GIFTBook1. 

Student organizer for 2018-2019 are 

• Genghu Shi: The University of Memphis 
• Ziyi Kuang: Central China Normal University 
• Carla Barreiros: Graz University of Technology 
• Kai-Chih Pai: National Taichung University of Education