Friday, September 30, 2016

AECT Conference, Las Vegas - USU ITLS Representation



The ITLS department at Utah State will be well represented at the Association for Educational Communications and Technology (AETC) conference to be held on October 17 – October 21, 2016 in Las Vegas, Nevada.  The theme of this conference is Learning from Las Vegas.  ITLS is represented by Brian Belland, Andy Walker, Mimi Recker, Wonjoon Hong, Ji Eun Lee, and Nam Ju Kim.  Click here to see presenter and paper details. 

The table below shows the various activities of USU ITLS professors at the AECT October 17-21, 2016 in Las Vegas.

Date
Name
Session/Committee
Function/Position
October 18
Brian Belland
Professional Ethics
Chair
D&D – Instructional Design Approaches and
Suggestion of Machine Learning Systems for Computer-based Scaffolding
Presenter
Andy Walker
D&D – Instructional Design Approaches and
Suggestion of Machine Learning Systems for Computer-based Scaffolding
Presenter
Handbook Advisory: Board Meeting
Attendee
Handbook Advisory: Shaping the Content of our Field’s Next Research Handbook
Attendee
Nam Ju Kim
D&D – Instructional Design Approaches and
Suggestion of Machine Learning Systems for Computer-based Scaffolding
Presenter

October 19
Brian Belland
ETR&D Joint Editorial Board Meeting
Attendee
Mimi Recker
DDL – Evaluating Quality and The Validity, Reliability, and Utility of a Rubric for Evaluating Online Courses Quality: An Empirical Study
Presenter
Nam Ju Kim
D&D – Instructional Design Strategies and Bayesian Meta-analysis of Effects on Several forms of Computer-based Scaffolding in Problem-based Learning
Presenter
Ji Eun Lee
DDL – Evaluating Quality and The Validity, Reliability, and Utility of a Rubric for Evaluating Online Courses Quality: An Empirical Study


October 20
Mimi Recker
Posters Thur2, DDL – Posters Thur2, and DDL: Prediction of Dropout Behaviors in Online Learning using a Cross-classified Random Effect Model (CCREM)
Discussant
Wonjoon Hong
Posters Thur2, DDL – Posters Thur2, and DDL: Prediction of Dropout Behaviors in Online Learning using a Cross-classified Random Effect Model (CCREM
Presenter