Readings in Humanities and Social Sciences (All Faculties, English)-E1 :Educational Data Analytics and Visualization

Numbering Code U-LAS03 10001 SB48 Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Seminar
Target Year 2nd year students or above Target Student For all majors
Language English Day/Period Wed.4
Instructor name Ogata Hiroaki (Academic Center for Computing and Media Studies Professor)
MAJUMDAR,Rwito (Academic Center for Computing and Media Studies Program-Specific Senior Lecturer)
Outline and Purpose of the Course Education technology applications are widely adopted in recent times due to emergency remote teaching during the pandemic. Such online learning environments logs user interactions while students engage in any learning tasks. The log data can be analyzed and visualized in student and teacher facing dashboards to support learning and teaching. This course will provide an introduction to educational data visualization and current trends in learning analytics dashboards to support self-directed learning. We shall discuss the topics based on recent international academic articles in English and also highlight the structure, expressions and language to efficiently read and comprehend academic writing.
Course Goals On completing this course, students should have an understanding of the structure and expressions used in academic articles. This also gives students an opportunity to improve English reading and presentation skills, and prepare for organizing the information and claims in a paper and participate in group discussion that will be conducted as a part of the course.
Schedule and Contents 1) Class guidance and introduction (week 1、緒方)
Background on the basics of Educational Data Analytics and Learning Dashboards

2) The remaining classes will focus on reading and comprehending leading academic articles in the field, with critical discussion in groups. Presentations and tasks will be assigned to alternating groups each week. (week2-14、MAJUMDAR)

3) Feedback
Evaluation Methods and Policy Class presentation, tasks, and test (40%)
Class group discussion (30%)
Final report (30%)
Course Requirements None
Study outside of Class (preparation and review) Preparation before class includes reading and comprehending the assigned text, preparation of a summary and presentation practice.
Also, collaborative work such as exchanging opinions between students and jointly organizing the information from the read articles are required.
Textbooks Textbooks/References Online learning materials will be provided so please bring a notebook pc, tablet, etc.
References, etc. Will be introduced during class
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