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논문검색

Posing Questions during Experimental Operations for Safety Training in University Chemistry Experiments

초록

영어

A classroom lecture-style of safety training is often conducted at the beginning of each semester in university chemistry experiments, where materials such as a textbook and a video are utilized. However, we consider that a gap exists between such learning style and actual practice. In our previous study, we showed the effectiveness of ambiguous presentation to memorize the topic of learning. By taking a hint from hazard-prediction training, we propose to utilize questioning about a caution in a particular operation as a form of ambiguous presentation. People try to find answer when they are asked, which we expect to facilitate active thinking that contributes learning. An experiment showed the learning with question and answer contributed better than learning with answer only. Thinking time with 5 and 10 seconds were significantly effective in learning compared with answer-only style. Particularly, 10 seconds of thinking time allowed the subjects to look around the objects on an experimental table before being given the answer. We also found that the effect of learning is not direct proportion to the length of thinking time, i.e. 30 seconds of thinking time lost the subjects’ eagerness to learn.

목차

Abstract
 1. Introduction
 2. Target Operations
 3. Designing Learning Contents
  3.1. Question and Thinking Phase
  3.2. Getting Answer and Caution Phase
 4. Experiment on the Effect of Learning with Question-Thinking
  4.1. Methodology
  4.2. Subjects
  4.3. Results
 5. Experiment on On-site Safety Training
  5.1. Methodology and Subjects
  5.2. Result
 6. Discussion
  6.1. Improvement of experimental operations by questioning
  6.2. Presentation of failure examples
  6.3. Towards safe experiment
 7. Conclusion
 Acknowledgements
 References

저자정보

  • Kaori Ito Daily Life Computing Laboratory, Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology
  • Hiroaki Taguchi Daily Life Computing Laboratory, Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology
  • Kaori Fujinami Daily Life Computing Laboratory, Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology

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