| CARREON MARIO TEANO | D, 中間発表 | ユビキタスコンピューティングシステム | 安本 慶一, 清川 清, 諏訪 博彦, 松田 裕貴 |
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title: *** Exploring Passive Ways to Ask for Help in an Online Introduction to Programming Class ***
abstract: *** An introduction to programming class involves students working in a laboratory on programming problems under the supervision of a teacher. A teacher may choose to intervene with a student's work if they find that the student is having difficulty through their body language or overall demeanor. This is hard to do in an online class where the teacher has a limited view of the student. My research aims to use easily available sensors, such as a laptop's webcamera, to gather information on student disposition. I am exploring how a learning model can be trained to identify problematic students with the goal of allowing students to passively ask for help from their teacher. This talk, my doctoral midterm presentation, would provide a progress report on the current status of my research work. I will discuss the background of my study as well as relevant literature with regards to detecting student disposition. To be more specific, I will talk about facial feature recognition and gaze tracking to extract emotive information. I will then describe the dataset that I am gathering in order to train my planned learning model. I will also provide information on available emotive datasets and my tests on how they can be used to jumpstart my training model's learning process. Finally, I will showcase additional avenues that can be explored in order to meet my overall research aims. *** language of the presentation: *** English *** | |||