NL scoring and Bloom competency test: an experimental result
Assessing learner' answers is an important task and also require a lot of time. In many cases, exam papers comprise of questions that require learners to write at least one or two sentences to express their understanding. However, there are not many computer-based assessment tools able to cater...
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my.iium.irep.291962013-02-26T01:42:47Z http://irep.iium.edu.my/29196/ NL scoring and Bloom competency test: an experimental result Lajis, Adidah Abdul Aziz, Normaziah QA75 Electronic computers. Computer science Assessing learner' answers is an important task and also require a lot of time. In many cases, exam papers comprise of questions that require learners to write at least one or two sentences to express their understanding. However, there are not many computer-based assessment tools able to cater the needs due to limitations in computerized marking technology. This research attempts to address this limitation by introducing a technique to evaluate short free text answer. It is based on a hybrid approach that combines natural language processing and artificial intelligence. A textual answer is converted into a node link representation to extract the hidden knowledge structure. We then apply information theory approach to compute learners understanding which gives a result in bit. The assessment also has been done for testing Bloom competency. Results have shown that Bloom competency can be assessed via assisted assessment. 2012 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/29196/1/NL_SCORING_AND_BLOOM_COMPETENCY_TEST.pdf Lajis, Adidah and Abdul Aziz, Normaziah (2012) NL scoring and Bloom competency test: an experimental result. In: The 6th International Conference on Ubiquitous Information Management and Communication (ICUIMC '12 ), 20-22th February 2012, Kuala Lumpur. |
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QA75 Electronic computers. Computer science Lajis, Adidah Abdul Aziz, Normaziah NL scoring and Bloom competency test: an experimental result |
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Assessing learner' answers is an important task and also require a lot of time. In many cases, exam papers comprise of questions that require learners to write at least one or two sentences to express their understanding. However, there are not many computer-based assessment tools able to cater the needs due to limitations in computerized marking technology. This research attempts to address this limitation by introducing a technique to evaluate short free text answer. It is based on a hybrid approach that combines natural language processing and artificial intelligence. A textual answer is converted into a node link representation to extract the hidden knowledge structure. We then apply information theory approach to compute learners understanding which gives a result in bit. The assessment also has been done for testing Bloom competency. Results have shown that Bloom competency can be assessed via assisted assessment. |
format |
Conference or Workshop Item |
author |
Lajis, Adidah Abdul Aziz, Normaziah |
author_facet |
Lajis, Adidah Abdul Aziz, Normaziah |
author_sort |
Lajis, Adidah |
title |
NL scoring and Bloom competency test: an experimental result |
title_short |
NL scoring and Bloom competency test: an experimental result |
title_full |
NL scoring and Bloom competency test: an experimental result |
title_fullStr |
NL scoring and Bloom competency test: an experimental result |
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NL scoring and Bloom competency test: an experimental result |
title_sort |
nl scoring and bloom competency test: an experimental result |
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2012 |
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http://irep.iium.edu.my/29196/1/NL_SCORING_AND_BLOOM_COMPETENCY_TEST.pdf http://irep.iium.edu.my/29196/ |
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