Yuri Suzuki

Development and Evaluation of Question Templates for Text Mining

In this research, we developed a question template that makes it possible to efficiently gather text data for analysis, as the first step in building an environment that will enable persons who are inexperienced in text mining to analyze qualitative data easily. We created question templates using lists, conjunctive, and parts of speech formats. We conducted evaluation tests targeting two class questionnaires, and confirmed the effectiveness of those questionnaires.

Co-learning system for humans and machines using a weighted majority-based method

Artificial intelligence systems are frequently used to solve various problems in our daily lives. However, these systems require problem-specific big data to facilitate their learning processes. Unfortunately, for unknown environments, there are no previous instances available for learning. To support such learning in unknown environments, we propose a novel hybrid learning system that facilitates collaborative learning between humans and artificial intelligence systems. In this study, we verified that the proposed system accelerated both human and machine learning by employing a simplified color design task. Moreover, we also improved the system to enable it to select the best answer from the solution candidates by using masters to evaluate these solution candidates. The system performance was evaluated using both a simulation and a psychological test comprising a color design task.

Fostering UML Modeling Skills and Social Skills through Programming Education

In this research, we attempted to support the learning of the UML modeling skills and social skills required in software development scenarios as part of programming education in the Department of Engineering. We conducted a class based on PBL in which the learners formed teams to build a robot using LEGO Mindstorms. The results confirmed that through the classes, the learners showed improvements in both modeling skills and social skills. These results demonstrate the educational effectiveness of class design based on PBL and using the theme of building a robot, and the effectiveness of the modeling template created through this research.

Proposal of a PAD Evaluation Standard for Programming Education

The objective of this research is to propose an evaluation standard for implementing automatic evaluation of Problem Analysis Diagrams (PAD) created using educational support tools. Specifically, we re-examined evaluation items created in preliminary research and created a new evaluation standard of nine items. To evaluate the reliability of this evaluation standard, we conducted tests using the new standard on problems done in a university programming class. Results show that evaluation results from several evaluators were highly consistent, confirming that the evaluation standard is reliable.

Analysis of Effects of Cooperative Learning Due to Differences in Students' Skills

In this paper, we report on the learning effect observed in the educational practice of learning programming by pairs of students. The results revealed that pair learning by pairs consisting of different types of students is effective.

Report on Behavior Analysis Using Text Mining in Pair Programming Education

In earlier work, we assessed, analyzed and improved the teaching of programming through pair work. In this study, we evaluated the changes in learning behavior that were confirmed due to these improved teaching methods. As a result, we confirmed that knowledge is shared during pair work between highly skilled learners and learners of lower skill levels.

AKaTool: An association chart production tool for nursing education

We propose an association chart production tool called AKaTool. A nursing student learns the association chart to solve a nursing problem logically. In ordinary education, a creation method of the chart is by handwriting, and it spends not only consideration time but also a lot of writing and editing one. AKaTool is used to reduce the chart writing and editing costs for the nursing student. In contrast, a lecturer spends a time to correct the chart written by the student. We implement a highlight function that indicates a path from patient information to nursing diagnosis for lecturer correction support. In this paper, we introduce AKaTool proposed by us, and it is discussed in the experimental result.

A co-learning system for humans and machines

Artificial intelligence systems are frequently used to solve various problems in our daily lives. However, these systems require problem-specific big data to facilitate their learning processes. Unfortunately, for unknown environments, there are no previous instances available for learning. To support such learning in unknown environments, we propose a novel hybrid learning system that facilitates collaborative learning between humans and artificial intelligence systems. In this study, we verified that the proposed system accelerated the both human and machine learning by employing a simplified color design task.

A New Approach to Web Mining: A Search Engine Offering Result of No Assumption

Recently, rapid development in information and communications technology has led to explosive growth in the amount of available information, including substantial volume of data on the Web. One step toward managing and making use of this explosion of information is to enhance search technologies so that they can easily retrieve the necessary data. In this study, we propose a method for providing multifaceted search results and effective Web mining by not only using keywords but also leveraging relationships that include information contained within a resource.