• Journal of Creative Information Culture
• /
• v.5 no.3
• /
• pp.225-236
• /
• 2019

Viewing and approaching problems based on computational thinking can be improved through informatics education, which is essential for students to live in a future society. The purpose of this study is to analyze the operation status of informatics subjects that have become general electives in the 2015 revised curriculum, and to contribute to enhancing the effect of future informatics subject. To achieve this goal, a questionnaire was conducted for 400 students who graduated from high school in 2015-2016, and five students and five informatics subjects teachers were interviewed. Operation period of Infomatics subject, contents, method and evaluation method were analyzed. As a result, the operation of informatics subjects varied greatly from the second semester of the first year to the second semester of the third year. The most common method was teaching type, but the percentage of self-study was high in the second semester of the third year. The contents of the study did not learn all the contents, and the use rate of textbooks was low in the class. This study confirmed that the informatics subject class did not proceed in the form of observing the curriculum similarly to other subjects excluded. It is also significant that for the first time, the operational status of informatics subjects was analyzed.

• KIPS Transactions on Computer and Communication Systems
• /
• v.12 no.10
• /
• pp.291-298
• /
• 2023

In this paper, we study whether the programming questions of the Informatics·Computer recruitment tests were suitable for selecting teachers with required programming skills. The average points of the programming questions constituted 38%(20.8 points) of the total scores for the entire curriculum based on the results from analyzing the previous questions in the past 5 years. Moreover, the distribution of points for each evaluation criteria within programming and data structure, two exam subjects which have a high proportion of programming questions, demonstrated a large deviation ranging from 0% to 47% and 0% to 53% respectively. In this study, a questionnaire survey was conducted on 31 teachers to examine if the previous programming questions were suitable for measuring teachers' competency in programming abilities required in the actual teaching experience. Computational thinking ability was ranked the highest at 58% in response to the area that needs to be evaluated in the recruitment test. In response to the relevance of previous questions, problem solving ability was ranked the highest at 2.84 on a 5-point scale, but the overall appropriateness was deemed low. C language and Python were regarded as the computer languages suitable to be tested for programming questions with each ranked 55% and 45%. The finding confirms that teachers preferred Python and the incumbent C language to others. Based on the results of the questionnaire, we recommend changes in the programming questions to improve the selection criteria.