STUDENT ASSESSMENT USING EDITING DISTANCE AND KEYWORDS MATCHIN.
Saved in:
| Title: | STUDENT ASSESSMENT USING EDITING DISTANCE AND KEYWORDS MATCHIN. |
|---|---|
| Authors: | POPESCU, Doru Anastasiu1, BOLD, Nicolae1, POPESCU, Ion Alexandru1 |
| Source: | Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering. May2026, Vol. 24 Issue 2, p77-84. 8p. |
| Subjects: | Grading of students, Keyword searching, Web-based user interfaces |
| Abstract: | This paper presents an automated assessment model that is based on assessment tests formed of Short-Answer Items (SAQ). This type consists in a textual answer with a given maximum length. In order to compare the correct answer with the one given by the student, an algorithm that computes the editing distance (also known as Levenshtein distance) between the two answers and the existence of given keywords (semantic tags) is used. Within the model, an item is considered to be answered correctly if the obtainedediting distance is inferior to a threshold and the answer contains a set proportion or specific semantic tags. The model will also include the analysis of the optimal way of inputting the needed data by a user by introducing descriptive nontechnical requirements. In this matter, the threshold for the editing distance and the usage of semantic tags will be established using natural language-based descriptors (e.g., scales, fuzzy, proportions), offering an intuitive non-technical modality of inputting datathat is later mapped to the edit distance and required keywords. In order to implement the described model, a web application can be created. This web application extracts the items and the values needed in the assessment process from a database and computes the result automatically. The obtained data is then stored to be further analysed by an assessor or using an automated learning method. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering is the property of University Politehnica Timisoara, Faculty of Engineering Hunedoara and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 193696756 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: STUDENT ASSESSMENT USING EDITING DISTANCE AND KEYWORDS MATCHIN. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22POPESCU%2C+Doru+Anastasiu%22">POPESCU, Doru Anastasiu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22BOLD%2C+Nicolae%22">BOLD, Nicolae</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22POPESCU%2C+Ion+Alexandru%22">POPESCU, Ion Alexandru</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+the+Faculty+of+Engineering+Hunedoara+-+International+Journal+of+Engineering%22">Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering</searchLink>. May2026, Vol. 24 Issue 2, p77-84. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Grading+of+students%22">Grading of students</searchLink><br /><searchLink fieldCode="DE" term="%22Keyword+searching%22">Keyword searching</searchLink><br /><searchLink fieldCode="DE" term="%22Web-based+user+interfaces%22">Web-based user interfaces</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents an automated assessment model that is based on assessment tests formed of Short-Answer Items (SAQ). This type consists in a textual answer with a given maximum length. In order to compare the correct answer with the one given by the student, an algorithm that computes the editing distance (also known as Levenshtein distance) between the two answers and the existence of given keywords (semantic tags) is used. Within the model, an item is considered to be answered correctly if the obtainedediting distance is inferior to a threshold and the answer contains a set proportion or specific semantic tags. The model will also include the analysis of the optimal way of inputting the needed data by a user by introducing descriptive nontechnical requirements. In this matter, the threshold for the editing distance and the usage of semantic tags will be established using natural language-based descriptors (e.g., scales, fuzzy, proportions), offering an intuitive non-technical modality of inputting datathat is later mapped to the edit distance and required keywords. In order to implement the described model, a web application can be created. This web application extracts the items and the values needed in the assessment process from a database and computes the result automatically. The obtained data is then stored to be further analysed by an assessor or using an automated learning method. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering is the property of University Politehnica Timisoara, Faculty of Engineering Hunedoara and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193696756 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 77 Subjects: – SubjectFull: Grading of students Type: general – SubjectFull: Keyword searching Type: general – SubjectFull: Web-based user interfaces Type: general Titles: – TitleFull: STUDENT ASSESSMENT USING EDITING DISTANCE AND KEYWORDS MATCHIN. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: POPESCU, Doru Anastasiu – PersonEntity: Name: NameFull: BOLD, Nicolae – PersonEntity: Name: NameFull: POPESCU, Ion Alexandru IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15842665 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering Type: main |
| ResultId | 1 |
