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Item bank to estimate the answers of class evaluation questionnaire
In Japan, student class-evaluation questionnaires are part of faculty development at universities. However, it is difficult to improve lectures from the results of a questionnaire containing only a few items. Here, we attempt to suggest improvements from a small questionnaire. For achieving this, we...
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creator | Nakamura, Shuya Ishii, Takatoshi Akakura, Takako |
description | In Japan, student class-evaluation questionnaires are part of faculty development at universities. However, it is difficult to improve lectures from the results of a questionnaire containing only a few items. Here, we attempt to suggest improvements from a small questionnaire. For achieving this, we propose an item bank that can estimate the answers to questions that were not asked. Such an item bank could provide information to help instructors improve. More specifically, we assume that the relations between questionnaire items are probabilistic causal relations. Then, we discuss a way to provide feedback to instructors by simulation. |
doi_str_mv | 10.1109/TALE.2016.7851786 |
format | conference_proceeding |
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However, it is difficult to improve lectures from the results of a questionnaire containing only a few items. Here, we attempt to suggest improvements from a small questionnaire. For achieving this, we propose an item bank that can estimate the answers to questions that were not asked. Such an item bank could provide information to help instructors improve. More specifically, we assume that the relations between questionnaire items are probabilistic causal relations. Then, we discuss a way to provide feedback to instructors by simulation.</description><subject>Bayes methods</subject><subject>Bayesian Network</subject><subject>Class Evaluation</subject><subject>Conferences</subject><subject>Education</subject><subject>Estimation</subject><subject>Probabilistic logic</subject><subject>Study of Education</subject><subject>Training data</subject><subject>Writing</subject><issn>2470-6698</issn><isbn>1509055983</isbn><isbn>9781509055982</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj0FOwzAQRQ0SEqX0AIiNL5AwtmN7vKyiApUisSnrapJMRCBNIHZB3B4QXf3N09P7QtwoyJWCcLdbV5tcg3K5R6s8ujNxpSwEsDagORcLXXjInAt4KVYxvgKA0WAsFAtRbhMfZE3jm0yT5Jj6AyWW6YUljfGL5yinTjYDxSj5k4YjpX4a5cfxD53GkfqZr8VFR0Pk1WmX4vl-sysfs-rpYVuuq6xX1qXMqQJrj-hDMNa3yC3UjbYFGxe6zrim041ukdAZ8tprF6gjbTS2LRbsySzF7b-3Z-b9-_ybOn_vT5_ND-e2Sr4</recordid><startdate>201612</startdate><enddate>201612</enddate><creator>Nakamura, Shuya</creator><creator>Ishii, Takatoshi</creator><creator>Akakura, Takako</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201612</creationdate><title>Item bank to estimate the answers of class evaluation questionnaire</title><author>Nakamura, Shuya ; Ishii, Takatoshi ; Akakura, Takako</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i156t-6148b788799357d8ed0bc254e369ff36cf2c2d8a863a727269afa2328dd84e7a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng ; jpn</language><creationdate>2016</creationdate><topic>Bayes methods</topic><topic>Bayesian Network</topic><topic>Class Evaluation</topic><topic>Conferences</topic><topic>Education</topic><topic>Estimation</topic><topic>Probabilistic logic</topic><topic>Study of Education</topic><topic>Training data</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>Nakamura, Shuya</creatorcontrib><creatorcontrib>Ishii, Takatoshi</creatorcontrib><creatorcontrib>Akakura, Takako</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nakamura, Shuya</au><au>Ishii, Takatoshi</au><au>Akakura, Takako</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Item bank to estimate the answers of class evaluation questionnaire</atitle><btitle>2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)</btitle><stitle>TALE</stitle><date>2016-12</date><risdate>2016</risdate><spage>150</spage><epage>153</epage><pages>150-153</pages><eissn>2470-6698</eissn><eisbn>1509055983</eisbn><eisbn>9781509055982</eisbn><abstract>In Japan, student class-evaluation questionnaires are part of faculty development at universities. However, it is difficult to improve lectures from the results of a questionnaire containing only a few items. Here, we attempt to suggest improvements from a small questionnaire. For achieving this, we propose an item bank that can estimate the answers to questions that were not asked. Such an item bank could provide information to help instructors improve. More specifically, we assume that the relations between questionnaire items are probabilistic causal relations. Then, we discuss a way to provide feedback to instructors by simulation.</abstract><pub>IEEE</pub><doi>10.1109/TALE.2016.7851786</doi><tpages>4</tpages></addata></record> |
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identifier | EISSN: 2470-6698 |
ispartof | 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2016, p.150-153 |
issn | 2470-6698 |
language | eng ; jpn |
recordid | cdi_ieee_primary_7851786 |
source | IEEE Xplore All Conference Series |
subjects | Bayes methods Bayesian Network Class Evaluation Conferences Education Estimation Probabilistic logic Study of Education Training data Writing |
title | Item bank to estimate the answers of class evaluation questionnaire |
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