Development of an automated tool for detecting errors in tenses
The rapid growth of computer technologies creates a plethora of ways in which technology can be integrated into one of the alternatives to facilitate essay marking. Automated essay marking systems developed from the late 1960s have attempted to prove that computers can evaluate essays as competen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UKM
2012
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| Online Access: | http://journalarticle.ukm.my/4913/1/pp%2520427_441.pdf |
| _version_ | 1796928185242222592 |
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| author | Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus, |
| author_facet | Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus, |
| author_sort | Tengku Nor Rizan Tengku Mohd Maasum, |
| collection | UKM |
| description | The rapid growth of computer technologies creates a plethora of ways in which
technology can be integrated into one of the alternatives to facilitate essay marking.
Automated essay marking systems developed from the late 1960s have attempted to
prove that computers can evaluate essays as competently as human expert. Several
computer-based essay marking (CBEM) systems have been developed to mark students’
essays and they can be divided into semi-automated and automated systems. This paper
illustrates the development of an Automated Tool for Detecting Errors in Tenses
(ATDEiT™). The first phase analysed the errors found in 400 essays written by 112
English as second language (ESL) learners at tertiary level using Markin 3.1 software.
The results showed that the most common errors were found in tenses. This finding led to
the second phase of the research, which was the design of an automated marking tool.
Consequently, the techniques and algorithm for error analysis marking tool for ESL learners were developed. An initial testing was conducted to evaluate the results of the
marking tool using 50 essays. Findings showed that ATDEiT™ achieved a high level
(93.5%) of recall and an average level (78.8%) of precision. This proves that ATDEiT™
has the potential to be used as an automated tool for detecting errors in tenses for ESL
learners. |
| first_indexed | 2024-03-06T03:55:29Z |
| format | Article |
| id | ukm.eprints-4913 |
| institution | Universiti Kebangsaan Malaysia |
| language | English |
| last_indexed | 2024-03-06T03:55:29Z |
| publishDate | 2012 |
| publisher | Penerbit UKM |
| record_format | dspace |
| spelling | ukm.eprints-49132016-12-14T06:37:17Z http://journalarticle.ukm.my/4913/ Development of an automated tool for detecting errors in tenses Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus, The rapid growth of computer technologies creates a plethora of ways in which technology can be integrated into one of the alternatives to facilitate essay marking. Automated essay marking systems developed from the late 1960s have attempted to prove that computers can evaluate essays as competently as human expert. Several computer-based essay marking (CBEM) systems have been developed to mark students’ essays and they can be divided into semi-automated and automated systems. This paper illustrates the development of an Automated Tool for Detecting Errors in Tenses (ATDEiT™). The first phase analysed the errors found in 400 essays written by 112 English as second language (ESL) learners at tertiary level using Markin 3.1 software. The results showed that the most common errors were found in tenses. This finding led to the second phase of the research, which was the design of an automated marking tool. Consequently, the techniques and algorithm for error analysis marking tool for ESL learners were developed. An initial testing was conducted to evaluate the results of the marking tool using 50 essays. Findings showed that ATDEiT™ achieved a high level (93.5%) of recall and an average level (78.8%) of precision. This proves that ATDEiT™ has the potential to be used as an automated tool for detecting errors in tenses for ESL learners. Penerbit UKM 2012-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/4913/1/pp%2520427_441.pdf Tengku Nor Rizan Tengku Mohd Maasum, and Siti Hamin Stapa, and Nazlia Omar, and Mohd Juzaiddin Ab Aziz, and Saadiyah Darus, (2012) Development of an automated tool for detecting errors in tenses. GEMA: Online Journal of Language Studies, 12 (2 (spe). pp. 427-441. ISSN 1675-8021 http://pkukmweb.ukm.my/~ppbl/Gema/gemahome.html |
| spellingShingle | Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus, Development of an automated tool for detecting errors in tenses |
| title | Development of an automated tool for detecting errors in tenses |
| title_full | Development of an automated tool for detecting errors in tenses |
| title_fullStr | Development of an automated tool for detecting errors in tenses |
| title_full_unstemmed | Development of an automated tool for detecting errors in tenses |
| title_short | Development of an automated tool for detecting errors in tenses |
| title_sort | development of an automated tool for detecting errors in tenses |
| url | http://journalarticle.ukm.my/4913/1/pp%2520427_441.pdf |
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