Methods for Diagnosing the Standards-Compliance Status of Latent Teaching Materials

With the diversification of learning needs, the enhancement of e-learning teaching materials has become more and more important for both authors and users. The expansion of opportunities for e-learning influenced by COVID-19 further strengthened this importance. Despite the existence of international standards such as SCORM, the distribution and utilization of e-learning teaching materials has not progressed as expected. Due to the heavy burdens on authors to create standards-compliant teaching materials, non-compliant teaching materials continue to be used individually only around authors. This problem also makes it difficult for users to obtain the required teaching materials. In this research, we have been working on the development of methods for generating a repository of teaching materials including latent ones that do not conform to the standard. To achieve this goal, we initially developed methods for automatically collecting e-learning materials from the Web. We also developed methods for diagnosing the standards-compliance status of teaching materials. For non-compliant teaching materials, we extract the lacking factors for compliance with the standards and accumulate them in the repository together with the outline and location of the teaching materials. This repository enables to provide the hints that supports the creation of compliant teaching materials by authors. This paper mainly describes the methods for diagnosing the standards-compliance situation of teaching materials. Finally, an experiment on the diagnosis of standards-compliance is described and the validity of our methods is discussed on the basis of the results.