Abstract
Our university is currently developing an advanced physical-digital learning environment that can train students to enhance their discussion and presentation skills. The environment guarantees an efficient discussion among users with state-of-the-art technologies such as touch panel discussion tables, digital posters, and an interactive wall-sized whiteboard. It includes a data mining system that efficiently records, summarizes, and annotates discussions held inside our facility. We also developed a digital poster authoring tool, a novel tool for creating interactive digital posters displayed using our digital poster presentation system. Evaluation results show the efficiency of using our facilities: the data mining system and the digital poster authoring tool. In addition, our physical-digital learning environment will be further enhanced with a vision system that will detect interactions with the digital poster presentation system and the different discussion tools enabling a more automated skill evaluation and discussion mining.
Highlights
A lot of attention has been paid to evidence-based research, such as life-logging Sellen and Whittaker (2010) or big data applications Armstrong (2014), that proposes techniques to raise the quality of human life by storing and analyzing data of daily activities in large quantities
We focus on developing the discussion and presentation skills of the students and this section describes in detail the evaluation method for the discussion and presentation skills of the students
Discussion skill Data acquired by the discussion mining system includes participant types, number of start-up/follow-up statements of each participant, and scores of quality of each statement
Summary
A lot of attention has been paid to evidence-based research, such as life-logging Sellen and Whittaker (2010) or big data applications Armstrong (2014), that proposes techniques to raise the quality of human life by storing and analyzing data of daily activities in large quantities This technique has been applied in the education sector but a key method has not been found yet because it is generally hard to record intellectual activities, accumulate and analyze data in a large scale, and compare it with a person’s physical activities, position, movement information, and the like. Our study focuses on the new graduate leading program of Nagoya University that aims to cultivate future industrial science leaders This leading graduate program has a new physical-digital environment for facilitating presentations and discussions among the selected students of the program.
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