Educational Data Mining for Classification of Students based on their Performance Article Swipe
Performance of any institution is largely dependent on the success of its students. These students performance may be dependent on various parameters such as student's knowledge, educational background, teacher's teaching methods, financial background and their psychology. Due to large educational databases, predicting student's performance becomes a challenging task. There are ample student's present in any Institution so focusing on each and every student becomes a difficult task for a teacher. Also sometimes student don't understand where they are lacking and hence results in Low Grades. To monitor the student's progress and performance is at most important task. The existing system will lead to decrease the gap between student's performance level as well as the Teacher's Assessment. The main objective of this paper is to predict Students final grades and classify them according to their performance level. This paper also focuses on how the prediction and classification algorithm can be used to identify the student's performance level with the help of past data. With the help of this system, teachers will be able to categorize student according to their performance and can use that knowledge to help them to enhance their performance. It could bring the benefits and impacts to students, educators and academic institutions.I.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.22214/ijraset.2017.4163
- https://doi.org/10.22214/ijraset.2017.4163
- OA Status
- bronze
- Cited By
- 1
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2607825649
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2607825649Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.22214/ijraset.2017.4163Digital Object Identifier
- Title
-
Educational Data Mining for Classification of Students based on their PerformanceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-04-26Full publication date if available
- Authors
-
Amruta JoshiList of authors in order
- Landing page
-
https://doi.org/10.22214/ijraset.2017.4163Publisher landing page
- PDF URL
-
https://doi.org/10.22214/ijraset.2017.4163Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.22214/ijraset.2017.4163Direct OA link when available
- Concepts
-
Computer science, Educational data mining, Data mining, Data scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 1Per-year citation counts (last 5 years)
- References (count)
-
16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2607825649 |
|---|---|
| doi | https://doi.org/10.22214/ijraset.2017.4163 |
| ids.doi | https://doi.org/10.22214/ijraset.2017.4163 |
| ids.mag | 2607825649 |
| ids.openalex | https://openalex.org/W2607825649 |
| fwci | 0.0 |
| type | article |
| title | Educational Data Mining for Classification of Students based on their Performance |
| biblio.issue | IV |
| biblio.volume | V |
| biblio.last_page | 896 |
| biblio.first_page | 892 |
| topics[0].id | https://openalex.org/T11122 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.994700014591217 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1706 |
| topics[0].subfield.display_name | Computer Science Applications |
| topics[0].display_name | Online Learning and Analytics |
| topics[1].id | https://openalex.org/T10538 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9682000279426575 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1710 |
| topics[1].subfield.display_name | Information Systems |
| topics[1].display_name | Data Mining Algorithms and Applications |
| topics[2].id | https://openalex.org/T11652 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9668999910354614 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Imbalanced Data Classification Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.5611643195152283 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C2777598771 |
| concepts[1].level | 2 |
| concepts[1].score | 0.4863736927509308 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q5341279 |
| concepts[1].display_name | Educational data mining |
| concepts[2].id | https://openalex.org/C124101348 |
| concepts[2].level | 1 |
| concepts[2].score | 0.36836111545562744 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[2].display_name | Data mining |
| concepts[3].id | https://openalex.org/C2522767166 |
| concepts[3].level | 1 |
| concepts[3].score | 0.35006850957870483 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[3].display_name | Data science |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.5611643195152283 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/educational-data-mining |
| keywords[1].score | 0.4863736927509308 |
| keywords[1].display_name | Educational data mining |
| keywords[2].id | https://openalex.org/keywords/data-mining |
| keywords[2].score | 0.36836111545562744 |
| keywords[2].display_name | Data mining |
| keywords[3].id | https://openalex.org/keywords/data-science |
| keywords[3].score | 0.35006850957870483 |
| keywords[3].display_name | Data science |
| language | en |
| locations[0].id | doi:10.22214/ijraset.2017.4163 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764566388 |
| locations[0].source.issn | 2321-9653 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2321-9653 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | International Journal for Research in Applied Science and Engineering Technology |
| locations[0].source.host_organization | https://openalex.org/P4322614460 |
| locations[0].source.host_organization_name | International Journal for Research in Applied Science and Engineering Technology (IJRASET) |
| locations[0].source.host_organization_lineage | https://openalex.org/P4322614460 |
| locations[0].source.host_organization_lineage_names | International Journal for Research in Applied Science and Engineering Technology (IJRASET) |
| locations[0].license | |
| locations[0].pdf_url | https://doi.org/10.22214/ijraset.2017.4163 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal for Research in Applied Science and Engineering Technology |
| locations[0].landing_page_url | http://doi.org/10.22214/ijraset.2017.4163 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5024420621 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9541-1755 |
| authorships[0].author.display_name | Amruta Joshi |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210130378 |
| authorships[0].affiliations[0].raw_affiliation_string | Research Scholar (M. Tech.), |
| authorships[0].institutions[0].id | https://openalex.org/I4210130378 |
| authorships[0].institutions[0].ror | https://ror.org/02p87ey03 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I1336379959, https://openalex.org/I4210130378 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | Tech Mahindra (India) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Amruta Joshi |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Research Scholar (M. Tech.), |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.22214/ijraset.2017.4163 |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Educational Data Mining for Classification of Students based on their Performance |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11122 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.994700014591217 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1706 |
| primary_topic.subfield.display_name | Computer Science Applications |
| primary_topic.display_name | Online Learning and Analytics |
| related_works | https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W2358668433, https://openalex.org/W2376932109, https://openalex.org/W2382290278, https://openalex.org/W2350741829, https://openalex.org/W2521491036, https://openalex.org/W3000065748, https://openalex.org/W3137268104 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2021 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.22214/ijraset.2017.4163 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764566388 |
| best_oa_location.source.issn | 2321-9653 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2321-9653 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | International Journal for Research in Applied Science and Engineering Technology |
| best_oa_location.source.host_organization | https://openalex.org/P4322614460 |
| best_oa_location.source.host_organization_name | International Journal for Research in Applied Science and Engineering Technology (IJRASET) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4322614460 |
| best_oa_location.source.host_organization_lineage_names | International Journal for Research in Applied Science and Engineering Technology (IJRASET) |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://doi.org/10.22214/ijraset.2017.4163 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal for Research in Applied Science and Engineering Technology |
| best_oa_location.landing_page_url | http://doi.org/10.22214/ijraset.2017.4163 |
| primary_location.id | doi:10.22214/ijraset.2017.4163 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764566388 |
| primary_location.source.issn | 2321-9653 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2321-9653 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | International Journal for Research in Applied Science and Engineering Technology |
| primary_location.source.host_organization | https://openalex.org/P4322614460 |
| primary_location.source.host_organization_name | International Journal for Research in Applied Science and Engineering Technology (IJRASET) |
| primary_location.source.host_organization_lineage | https://openalex.org/P4322614460 |
| primary_location.source.host_organization_lineage_names | International Journal for Research in Applied Science and Engineering Technology (IJRASET) |
| primary_location.license | |
| primary_location.pdf_url | https://doi.org/10.22214/ijraset.2017.4163 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal for Research in Applied Science and Engineering Technology |
| primary_location.landing_page_url | http://doi.org/10.22214/ijraset.2017.4163 |
| publication_date | 2017-04-26 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2546209974, https://openalex.org/W2543271749, https://openalex.org/W2532245321, https://openalex.org/W2184757239, https://openalex.org/W2520861907, https://openalex.org/W2543707867, https://openalex.org/W1982465398, https://openalex.org/W1633048290, https://openalex.org/W1548739117, https://openalex.org/W2310604680, https://openalex.org/W2099209867, https://openalex.org/W2065181987, https://openalex.org/W4251309295, https://openalex.org/W2204122179, https://openalex.org/W2059831028, https://openalex.org/W1947706901 |
| referenced_works_count | 16 |
| abstract_inverted_index.a | 45, 64, 68 |
| abstract_inverted_index.It | 191 |
| abstract_inverted_index.To | 85 |
| abstract_inverted_index.as | 23, 110, 112 |
| abstract_inverted_index.at | 93 |
| abstract_inverted_index.be | 17, 148, 170 |
| abstract_inverted_index.in | 53, 82 |
| abstract_inverted_index.is | 4, 92, 122 |
| abstract_inverted_index.of | 1, 10, 119, 159, 165 |
| abstract_inverted_index.on | 7, 19, 58, 140 |
| abstract_inverted_index.so | 56 |
| abstract_inverted_index.to | 37, 102, 123, 132, 150, 172, 176, 184, 187, 198 |
| abstract_inverted_index.Due | 36 |
| abstract_inverted_index.Low | 83 |
| abstract_inverted_index.The | 97, 116 |
| abstract_inverted_index.and | 33, 60, 79, 90, 128, 144, 179, 196, 201 |
| abstract_inverted_index.any | 2, 54 |
| abstract_inverted_index.are | 49, 77 |
| abstract_inverted_index.can | 147, 180 |
| abstract_inverted_index.for | 67 |
| abstract_inverted_index.gap | 105 |
| abstract_inverted_index.how | 141 |
| abstract_inverted_index.its | 11 |
| abstract_inverted_index.may | 16 |
| abstract_inverted_index.the | 8, 87, 104, 113, 142, 152, 157, 163, 194 |
| abstract_inverted_index.use | 181 |
| abstract_inverted_index.Also | 70 |
| abstract_inverted_index.This | 136 |
| abstract_inverted_index.With | 162 |
| abstract_inverted_index.able | 171 |
| abstract_inverted_index.also | 138 |
| abstract_inverted_index.each | 59 |
| abstract_inverted_index.help | 158, 164, 185 |
| abstract_inverted_index.lead | 101 |
| abstract_inverted_index.main | 117 |
| abstract_inverted_index.most | 94 |
| abstract_inverted_index.past | 160 |
| abstract_inverted_index.such | 22 |
| abstract_inverted_index.task | 66 |
| abstract_inverted_index.that | 182 |
| abstract_inverted_index.them | 130, 186 |
| abstract_inverted_index.they | 76 |
| abstract_inverted_index.this | 120, 166 |
| abstract_inverted_index.used | 149 |
| abstract_inverted_index.well | 111 |
| abstract_inverted_index.will | 100, 169 |
| abstract_inverted_index.with | 156 |
| abstract_inverted_index.There | 48 |
| abstract_inverted_index.These | 13 |
| abstract_inverted_index.ample | 50 |
| abstract_inverted_index.bring | 193 |
| abstract_inverted_index.could | 192 |
| abstract_inverted_index.data. | 161 |
| abstract_inverted_index.don't | 73 |
| abstract_inverted_index.every | 61 |
| abstract_inverted_index.final | 126 |
| abstract_inverted_index.hence | 80 |
| abstract_inverted_index.large | 38 |
| abstract_inverted_index.level | 109, 155 |
| abstract_inverted_index.paper | 121, 137 |
| abstract_inverted_index.task. | 47, 96 |
| abstract_inverted_index.their | 34, 133, 177, 189 |
| abstract_inverted_index.where | 75 |
| abstract_inverted_index.grades | 127 |
| abstract_inverted_index.level. | 135 |
| abstract_inverted_index.system | 99 |
| abstract_inverted_index.Grades. | 84 |
| abstract_inverted_index.becomes | 44, 63 |
| abstract_inverted_index.between | 106 |
| abstract_inverted_index.enhance | 188 |
| abstract_inverted_index.focuses | 139 |
| abstract_inverted_index.impacts | 197 |
| abstract_inverted_index.lacking | 78 |
| abstract_inverted_index.largely | 5 |
| abstract_inverted_index.monitor | 86 |
| abstract_inverted_index.predict | 124 |
| abstract_inverted_index.present | 52 |
| abstract_inverted_index.results | 81 |
| abstract_inverted_index.student | 62, 72, 174 |
| abstract_inverted_index.success | 9 |
| abstract_inverted_index.system, | 167 |
| abstract_inverted_index.various | 20 |
| abstract_inverted_index.Students | 125 |
| abstract_inverted_index.academic | 202 |
| abstract_inverted_index.benefits | 195 |
| abstract_inverted_index.classify | 129 |
| abstract_inverted_index.decrease | 103 |
| abstract_inverted_index.existing | 98 |
| abstract_inverted_index.focusing | 57 |
| abstract_inverted_index.identify | 151 |
| abstract_inverted_index.methods, | 30 |
| abstract_inverted_index.progress | 89 |
| abstract_inverted_index.students | 14 |
| abstract_inverted_index.teacher. | 69 |
| abstract_inverted_index.teachers | 168 |
| abstract_inverted_index.teaching | 29 |
| abstract_inverted_index.Teacher's | 114 |
| abstract_inverted_index.according | 131, 175 |
| abstract_inverted_index.algorithm | 146 |
| abstract_inverted_index.dependent | 6, 18 |
| abstract_inverted_index.difficult | 65 |
| abstract_inverted_index.educators | 200 |
| abstract_inverted_index.financial | 31 |
| abstract_inverted_index.important | 95 |
| abstract_inverted_index.knowledge | 183 |
| abstract_inverted_index.objective | 118 |
| abstract_inverted_index.sometimes | 71 |
| abstract_inverted_index.student's | 24, 42, 51, 88, 107, 153 |
| abstract_inverted_index.students, | 199 |
| abstract_inverted_index.students. | 12 |
| abstract_inverted_index.teacher's | 28 |
| abstract_inverted_index.background | 32 |
| abstract_inverted_index.categorize | 173 |
| abstract_inverted_index.databases, | 40 |
| abstract_inverted_index.knowledge, | 25 |
| abstract_inverted_index.parameters | 21 |
| abstract_inverted_index.predicting | 41 |
| abstract_inverted_index.prediction | 143 |
| abstract_inverted_index.understand | 74 |
| abstract_inverted_index.Assessment. | 115 |
| abstract_inverted_index.Institution | 55 |
| abstract_inverted_index.Performance | 0 |
| abstract_inverted_index.background, | 27 |
| abstract_inverted_index.challenging | 46 |
| abstract_inverted_index.educational | 26, 39 |
| abstract_inverted_index.institution | 3 |
| abstract_inverted_index.performance | 15, 43, 91, 108, 134, 154, 178 |
| abstract_inverted_index.psychology. | 35 |
| abstract_inverted_index.performance. | 190 |
| abstract_inverted_index.classification | 145 |
| abstract_inverted_index.institutions.I. | 203 |
| cited_by_percentile_year.max | 93 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5024420621 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I4210130378 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.03310845 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |