Overdependence on null hypothesis significance testing has been criticized for decades and is，at least partially，responsible for reproducibility crisis in sciences. In this paper，I surveyed journal articles on “Computer & Education” to examine whether the reform of the overdependence brought about in the journal. Signs of the reform，such as reports of effect size and sample size estimation，were extremely rare although 90% of the articles used null hypothesis significance testing. Statistical reform is needed to increase the adequacy of statistical procedures as well as practical significance of findings.

　In this paper，I introduce the effective use of correspondence analysis in a procedure of quantitative text analysis. I also provide an easy-to-understand explanation of the symmetric map of correspondence analysis to avoid misconceptions in interpreting results. More intensive and appropriate use of correspondence analysis would improve the overall quality of quantitative text analysis.

　It is well known that Pearson's correlation is biased when it is computed from ordinal category data as in Likert scale. This paper first introduces the mechanism of the bias and what factors are related to it. Then，we introduce various methods to assign scores to categories and examine how different methods of assigning numbers affect correlation coefficients.

　This paper reviews the articles published in the journal Computer & Education and discusses appropriate use of statistical methods for educational research，including presenting appropriate statistical graphs，scrutinizing prerequisites for a statistical test，and reporting effect sizes and/or confidence intervals. Histograms and scatter diagrams can bring about a better understanding of the data to readers. Considering the prerequisites for a statistical test can help the researcher select an appropriate data analysis. Researchers can examine the substantive effect of an educational intervention based on effect sizes and/or confidence intervals.

　In response to problems in the open campus （OC） tour support system constructed in^[1]，in this paper，(1) we implement an authentication function by using cookies and implement a notification function of OC information to make the system easier to use. (2) We propose a Position Measurement Correction Method (PMCM) that uses Beacon terminals (BC) to solve the problem of degradation of position measurement accuracy in buildings. (3) We make the BC function and the LINE application working together organically on the system，enabling users to actively receive information provided by the system to improve the efficiency of transmission. Then，we conduct experiments for the PMCM to clarify the effectiveness of the method. We also conducted for the participants in two OC events held at Konan University to performance evaluations regarding the use of this system，and clarify the effectiveness of improvement. Finally，we perform position positioning and flow line analysis to show that the data can be used for effective use of campus facilities superimposed on time.

　In recent years，interest in learning analytics that analyzes big educational data has increased.，and research using deep learning technology has also been conducted. Our research team has also constructed AI models that automatically and in real time add coding label to collaborative learning data，verified its accuracy and its usefulness. However，it has been a challenge to create supervised data from big data，requiring enormous human power and time. In addition，it will cost more if a new supervised data has to be constructed for each research subject and needs for practical use. In this study，we verified how much human labeling work can be reduced by conducting pre-training as transfer learning before the supervised learning.

　In the education of informatics, operating system and programming are important. In the current educational system, the modern UNIX and C are often used. Both of these, however, are now too sophisticated to understand the essence. In this paper, we propose a trial education in which we use the primitive UNIX and C that are really used in the old computer systems. Through these experiences, it is shown that students can understand that the operating systems and programming languages are simple at first and also feel the advantages of the current systems.

　With the aim of providing school children an opportunity to contemplate and discuss sending out an SOS when in trouble concerning in school life，we developed a teaching program on how to send out an SOS that included original video material，the story of which has branches that change depending on the students' choice. Through test classes that were delivered to second grade junior-high school students，positive results were found through a before-and-after survey，in terms of investigating the students' perceptions when they have trouble or consciousness. Through a further detailed analysis that focuses on the discussion process，a verification of its effectiveness and improvements to the program will be needed.

　This study aimed to develop effective educational methods to encourage the appropriate use of social games in high school students. To accomplish this objective，a questionnaire survey was conducted on second-year high school students with varying academic achievements. The analysis of the results elucidated the following two points:

① Some students use high-frequency and high-priced social games regardless of which school they belong to，and the analysis found almost no differences in this result with regard to school type or career preference.

② Students who make impulsive purchases tend to exhibit high usage and frequency of usage of social games. Moreover，such respondents are unaware of their inappropriate consumption behaviors and do not know whether they have acquired accurate information.The findings suggest that instructions on how to acquire knowledge，how to exercise judgment as a consumer，and how to value and use money must be imparted to high school students in order to teach them about the appropriate use of social games.

In the future，we would like to investigate and analyze the actual state of the instructions imparted in schools on the topic of the use of social games and to consider more effective educational methods.

　In this paper，we constructed a learning unit of Internet Addiction prevention education to improve high-school students' Internet Addiction tendency，utilizing cross-curricular learning. We implemented the teaching practice for 126 students at S high-school in the classes of information study，health，science，home economics and Japanese. After the classes，we examined achievements and problems of this teaching practice by analyzing students' annual changes about Internet addiction tendency. As a result of the questionnaire for the students，their Internet addiction tendencies and Internet use behavior were improved as a whole after the class.