A rapid auto-indexing technology for designing readable e-learning content
A rapid scene indexing method is proposed to improve retrieval performance for students accessing instructional videos. This indexing method is applied to anchor suitable indices to the instructional video so that students can obtain several small lesson units to gain learning mastery. The method al...
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Athabasca University Press
2012
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oai:doaj.org-article:7962c206fd9a44c0b0ae0dd6db20b4a52021-12-02T19:25:12ZA rapid auto-indexing technology for designing readable e-learning content10.19173/irrodl.v13i5.12461492-3831https://doaj.org/article/7962c206fd9a44c0b0ae0dd6db20b4a52012-11-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/1246https://doaj.org/toc/1492-3831A rapid scene indexing method is proposed to improve retrieval performance for students accessing instructional videos. This indexing method is applied to anchor suitable indices to the instructional video so that students can obtain several small lesson units to gain learning mastery. The method also regulates online course progress. These anchored points not only provide students with fast access to specific material but also can link to certain quizzes or problems to show the interactive e-learning content that course developers deposited in the learning management system, which enhances the learning process. This allows students to click on the anchored point to repeat their lesson, or work through the quizzes or problems until they reach formative assessment. Hence, their learning can be guided by the formative assessment results.Pao-Ta YuYuan-Hsun LiaoMing-Hsiang SuPo-Jen ChengChun-Hsuan PaiAthabasca University PressarticleScene detectioninstructional videoanchored or access pointmastery learningregulated learningSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 13, Iss 5 (2012) |
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Scene detection instructional video anchored or access point mastery learning regulated learning Special aspects of education LC8-6691 |
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Scene detection instructional video anchored or access point mastery learning regulated learning Special aspects of education LC8-6691 Pao-Ta Yu Yuan-Hsun Liao Ming-Hsiang Su Po-Jen Cheng Chun-Hsuan Pai A rapid auto-indexing technology for designing readable e-learning content |
description |
A rapid scene indexing method is proposed to improve retrieval performance for students accessing instructional videos. This indexing method is applied to anchor suitable indices to the instructional video so that students can obtain several small lesson units to gain learning mastery. The method also regulates online course progress. These anchored points not only provide students with fast access to specific material but also can link to certain quizzes or problems to show the interactive e-learning content that course developers deposited in the learning management system, which enhances the learning process. This allows students to click on the anchored point to repeat their lesson, or work through the quizzes or problems until they reach formative assessment. Hence, their learning can be guided by the formative assessment results. |
format |
article |
author |
Pao-Ta Yu Yuan-Hsun Liao Ming-Hsiang Su Po-Jen Cheng Chun-Hsuan Pai |
author_facet |
Pao-Ta Yu Yuan-Hsun Liao Ming-Hsiang Su Po-Jen Cheng Chun-Hsuan Pai |
author_sort |
Pao-Ta Yu |
title |
A rapid auto-indexing technology for designing readable e-learning content |
title_short |
A rapid auto-indexing technology for designing readable e-learning content |
title_full |
A rapid auto-indexing technology for designing readable e-learning content |
title_fullStr |
A rapid auto-indexing technology for designing readable e-learning content |
title_full_unstemmed |
A rapid auto-indexing technology for designing readable e-learning content |
title_sort |
rapid auto-indexing technology for designing readable e-learning content |
publisher |
Athabasca University Press |
publishDate |
2012 |
url |
https://doaj.org/article/7962c206fd9a44c0b0ae0dd6db20b4a5 |
work_keys_str_mv |
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