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This research aims to study about developing and demonstrating the low-cost and portable light absorbance measurement device for using and learning in analytical experiments. In chemistry experiments, the concentration of solutions is important for mixing the sample or making medicines. In present, a UV-spectrophotometer is commonly used to check the absorbance of solution for investigating concentration of solution by the Beer's law before bringing it to use in experiment. Although the UV-spectrophotometer has high quality, student's learning doesn't use all functions of the UV-spectrophotometer. Furthermore, the UVspectrophotometer is very expensive to buy many devices for student's learning. To support student's learning for the chemistry education, we develop a low-cost spectrophotometer by decreasing unnecessary functions and parts. The results show the coefficient of determination of light absorbance compared with the UV-spectrophotometer and the linear regression for calculating unknown concentration of solution. The effectiveness of the proposed device is demonstrated by experiments. Moreover, the program receiving the data from the proposed device can receive many data from many device by wireless network.

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In this paper, learning analysis software is proposed. In the traditional achievement test, students cannot get results and feedbacks of the test immediately, because many tests of the students must be marked by teacher's own hand.Since the results and feedbacks are not returned until the mark is finished, the students take a long time to receive the results. In the previous study, the handmade clicker, which has been proposed by us to support active learning, can also realize the analysis of the student's answers immediately unlike the traditional achievement test. The proposed analysis software can provide feedbacks for both the students and the teacher's class by analyzing not only score but also response speed. The results provided by the proposed software are divided by the following 3 types: (1) all of the students, (2) each question and (3) each student. Owing to this analysis way, the proposed analysis software offers not only general analyzed results such as average score and correct answer rate, but also learning level and personality of the each student. Furthermore, advices for improving the learning method are also offered from these various viewpoints. The validity of the proposed software is confirmed by experiments using a demonstration data.