Research on the transmission of the Open University of Japan courses via multi-device apps oriented to the learning ecosystem

Purpose The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach This paper designs systems that reuse the existing OUJ courses from the viewpoint of effective utilization, combine broadcasting lectures and online lectures of the OUJ courses and seamlessly link them as media-mix contents. In contrast to content development methodologies that assume embedded content production, this paper’s methodology takes an approach to producing and authoring webcasting content, flexibly adding and revising the content and transmitting that content over the internet via multi-device apps, taking rights management into account. Findings There is concern about the ELSI arising from the use of generative AI. It is directed at web content. This paper can contribute to resolving the ELSI surrounding the use of generative AI because it discusses a method of learning content development that clarifies the attribution of rights to content. Originality/value The originality of this paper lies in the fact that it is oriented to reuse existing lectures of the OUJ courses and simplify the rights clearance for them, from the perspective of the learning ecosystem. The value of this paper is that it can also serve as a technical and legal response to the production, authoring and Internet transmission of open university courses in the era of generative AI.

Authors

Institutions

Publication Details

Journal
AAOU Journal/AAOU journal
Published
2024-11-04
DOI
https://doi.org/10.1108/aaouj-07-2023-0088
Citations
1
Primary Topic
Open Education and E-Learning
Type
article
Field-Weighted Citation Impact
0.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the transmission of the Open University of Japan courses via multi-device apps oriented to the learning ecosystem

Haruo Kodama, Motofumi T. Suzuki, Yoshitomo Yaginuma
1 citations
AAOU Journal/AAOU journal
Open Education and E-Learning
0.41
article

Research on the transmission of the Open University of Japan courses via multi-device apps oriented to the learning ecosystem

Haruo Kodama, Motofumi T. Suzuki, Yoshitomo Yaginuma
article en
1 citations

Abstract

Purpose The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach This paper designs systems that reuse the existing OUJ courses from the viewpoint of effective utilization, combine broadcasting lectures and online lectures of the OUJ courses and seamlessly link them as media-mix contents. In contrast to content development methodologies that assume embedded content production, this paper’s methodology takes an approach to producing and authoring webcasting content, flexibly adding and revising the content and transmitting that content over the internet via multi-device apps, taking rights management into account. Findings There is concern about the ELSI arising from the use of generative AI. It is directed at web content. This paper can contribute to resolving the ELSI surrounding the use of generative AI because it discusses a method of learning content development that clarifies the attribution of rights to content. Originality/value The originality of this paper lies in the fact that it is oriented to reuse existing lectures of the OUJ courses and simplify the rights clearance for them, from the perspective of the learning ecosystem. The value of this paper is that it can also serve as a technical and legal response to the production, authoring and Internet transmission of open university courses in the era of generative AI.

AAOU Journal/AAOU journalVol. 19(3)
The Open University of Japan (JP)
Life below water
Openalex Percentile: Top 26%
Open Education and E-Learning
0.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.