Guiding the Students in High School by Using Machine Learning

Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers related to analysing the educational big data that uses a lot of artificial intelligence techniques were studied. The purpose of the study is t...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:TEM Journal Ročník 10; číslo 1; s. 384 - 391
Hlavní autoři: Ababneh, Mustafa, Aljarrah, Aayat, Karagozlu, Damla, Özdamlı, Fezile
Médium: Journal Article
Jazyk:angličtina
Vydáno: Novi Pazar UIKTEN - Association for Information Communication Technology Education and Science 01.02.2021
Témata:
Academic achievement
Artificial intelligence
Big Data
Colleges & universities
Data analysis
Data mining
Education
ICT Information and Communications Technologies
Information systems
Learning management systems
Machine learning
Online instruction
School education
Secondary schools
Students
Success
Big Data Analysis
education
machine learning
student direction
Student information system
ISSN:2217-8309, 2217-8333
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers related to analysing the educational big data that uses a lot of artificial intelligence techniques were studied. The purpose of the study is to identify weaknesses and gaps in previous researches. The results showed that many researches highlighted early expectations for academic performance. Unfortunately, no one thought of finding an effective way to guide high schooled students to reach their appropriate majors that can be suitable to their abilities. Those students need to be guided to pass this sensitive phase with high efficiency and good results. Thus, this school level is considered as the starting point for students’ academic lives, professional, and future success.
AbstractList Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers related to analysing the educational big data that uses a lot of artificial intelligence techniques were studied. The purpose of the study is to identify weaknesses and gaps in previous researches. The results showed that many researches highlighted early expectations for academic performance. Unfortunately, no one thought of finding an effective way to guide high schooled students to reach their appropriate majors that can be suitable to their abilities. Those students need to be guided to pass this sensitive phase with high efficiency and good results. Thus, this school level is considered as the starting point for students’ academic lives, professional, and future success.
Author Ababneh, Mustafa
Özdamlı, Fezile
Aljarrah, Aayat
Karagozlu, Damla
Author_xml – sequence: 1
  fullname: Ababneh, Mustafa
– sequence: 2
  fullname: Aljarrah, Aayat
– sequence: 3
  fullname: Karagozlu, Damla
– sequence: 4
  fullname: Özdamlı, Fezile
BookMark eNptkL1PwzAQxS0EEqV0YWawxIYI-DNxBgZUlRapFUPb2XIcp3EV7OI4Q_97Aq1AQp3udO_37k7vCpw77wwANxg9YsEIflpNFhjhhIkzMCAEZ4mglJ7_9ii_BKO23SKEcJYyytkAPE87W1q3gbE2cBm70rjYQuvgzG5quNS19w0s9nDdfkMLpWvrDJwbFVw_uAYXlWpaMzrWIVi_TlbjWTJ_n76NX-aJppzG_jQmqagM1liQgolScZ3xqigUMaQsM6I5FmmFMUqpTk1JjM454mmmck5yhegQ3B327oL_7Ewb5dZ3wfUnJckQE5wIwnrq_kDp4Ns2mErugv1QYS8xkj8JyUNCkokeRv9gbaOK1rsYlG1OW26PFmN88_dCTnlOsl5-OCmrEK1ujCy9PqJyV1b0C1TCgQk
CitedBy_id crossref_primary_10_3390_app15105722
crossref_primary_10_1155_2022_3805235
ContentType Journal Article
Copyright 2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AE2
BIXPP
REL
AAYXX
CITATION
8FE
8FG
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
COVID
DWQXO
HCIFZ
P5Z
P62
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
DOI 10.18421/TEM101-48
DatabaseName Central and Eastern European Online Library (C.E.E.O.L.) (DFG Nationallizenzen)
CEEOL: Open Access
Central and Eastern European Online Library - CEEOL Journals
CrossRef
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials
AUTh Library subscriptions: ProQuest Central
Technology collection
ProQuest One Community College
Coronavirus Research Database
ProQuest Central Korea
SciTech Premium Collection
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Premium
ProQuest One Academic
ProQuest Publicly Available Content
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
DatabaseTitle CrossRef
Publicly Available Content Database
Advanced Technologies & Aerospace Collection
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
Coronavirus Research Database
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central China
ProQuest Central
Advanced Technologies & Aerospace Database
ProQuest One Applied & Life Sciences
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
DatabaseTitleList
CrossRef
Database_xml – sequence: 1
  dbid: PIMPY
  name: Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Education
DocumentTitleAlternate Guiding the Students in High School by Using Machine Learning
EISSN 2217-8333
EndPage 391
ExternalDocumentID 10_18421_TEM101_48
935927
GroupedDBID 5VS
8FE
8FG
ABDBF
ACUHS
ADBBV
AE2
AFFHD
AFKRA
ALMA_UNASSIGNED_HOLDINGS
ARAPS
BCNDV
BENPR
BGLVJ
BIXPP
CCPQU
EN8
EOJEC
ESX
HCIFZ
IPNFZ
KQ8
M~E
OBODZ
P62
PHGZM
PHGZT
PIMPY
PQGLB
PROAC
REL
RIG
AAYXX
CITATION
ABUWG
AZQEC
COVID
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
ID FETCH-LOGICAL-c353t-831268fe1c182b48da5c75fbba2e2dd72c5186f11063c6ed2ec950567a9529a03
IEDL.DBID BENPR
ISICitedReferencesCount 4
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000625328500048&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2217-8309
IngestDate Sun Nov 09 08:39:02 EST 2025
Sat Nov 29 06:20:23 EST 2025
Tue Nov 18 22:33:17 EST 2025
Tue Oct 28 18:50:45 EDT 2025
Tue Nov 07 20:43:03 EST 2023
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Big Data Analysis
education
machine learning
student direction
Student information system
Language English
License https://creativecommons.org/licenses/by-nc-nd/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c353t-831268fe1c182b48da5c75fbba2e2dd72c5186f11063c6ed2ec950567a9529a03
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://www.proquest.com/docview/2704852824?pq-origsite=%requestingapplication%
PQID 2704852824
PQPubID 2046213
PageCount 8
ParticipantIDs crossref_primary_10_18421_TEM101_48
proquest_journals_2704852824
ceeol_journals_935927
crossref_citationtrail_10_18421_TEM101_48
PublicationCentury 2000
PublicationDate 2021-02-01
PublicationDateYYYYMMDD 2021-02-01
PublicationDate_xml – month: 02
  year: 2021
  text: 2021-02-01
  day: 01
PublicationDecade 2020
PublicationPlace Novi Pazar
PublicationPlace_xml – name: Novi Pazar
PublicationSubtitle TEM Journal
PublicationTitle TEM Journal
PublicationTitleAlternate TEM Journal
PublicationYear 2021
Publisher UIKTEN - Association for Information Communication Technology Education and Science
Publisher_xml – name: UIKTEN - Association for Information Communication Technology Education and Science
SSID ssj0001764354
Score 2.1894023
Snippet Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers...
SourceID proquest
crossref
ceeol
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 384
SubjectTerms Academic achievement
Artificial intelligence
Big Data
Colleges & universities
Data analysis
Data mining
Education
ICT Information and Communications Technologies
Information systems
Learning management systems
Machine learning
Online instruction
School education
Secondary schools
Students
Success
Title Guiding the Students in High School by Using Machine Learning
URI https://www.ceeol.com//search/article-detail?id=935927
https://www.proquest.com/docview/2704852824
Volume 10
WOSCitedRecordID wos000625328500048&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2217-8333
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001764354
  issn: 2217-8309
  databaseCode: M~E
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 2217-8333
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001764354
  issn: 2217-8309
  databaseCode: P5Z
  dateStart: 20130801
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central - New (Subscription)
  customDbUrl:
  eissn: 2217-8333
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001764354
  issn: 2217-8309
  databaseCode: BENPR
  dateStart: 20130801
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 2217-8333
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001764354
  issn: 2217-8309
  databaseCode: PIMPY
  dateStart: 20130801
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8NAEB609aAHH1WxWmVBPXgITTbZJHsQUWlVsCX4onoJyWYjhdLWphX89-4kW2tFvHhMMpCQmZ3H5sv3ARxxHnMzsi3DTYQaUBg3jTj1pGG6kYhTX9oilwN6uvXabb_T4YHecMs0rHKaE_NEnQwE7pHXqadijakBwTkbvhmoGoVfV7WExiKUkanMKUH5otEO7ma7LJ6quLkUGqWYjm2Ta45S36FW_aHRUiFpoPhPWVWLQW--Os0n57ziNNf--6zrsKp7TXJeBMcGLMh-BWWaNaSjAivf2Ag34fRq0sVKRlRPSO4LzsuMdPsEsSCkoOsk8QfJUQaklaMwJdEEra9b8NhsPFxeG1pdwRA2s8fqXVjU9VNpCTVixI6fREx4LI3jiEqaJB4VzPLdVLUHri1cmVApOLZLXsQZ5ZFpb0OpP-jLHSBMKCMnZVxQpIeTkWNJ6ajex-bCSoWswlb-dkO9PrIQ_wemXhWOf5zXyyVESZTCJhwmaRVOpl4JhaYuRwWNXogjDHoyLDwZOn4VDr9shwVhx69WtannZjefuW3378t7sEwR2pKDt2tQGo8mch-WxPu4m40OdAwewGLAXtRRcNMKnj8BoyflSA
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3PT9swFH6CFontMH6LMgaWgAOHiMSOE_uAENpgVLRVpRUEJ5M4zlQJtYWWIf6p_Y3zS5wVJsSNw67JU6LEn98P-_n7AHalTKWfsMCLMm0LFC59L81j4_lRotNcGKYLOaDLVtzpiKsr2Z2B39VZGGyrrHxi4aizocY18gMaW6xxWyCER6M7D1WjcHe1ktAoYXFunh5tyTY-bH6z47tH6elJ7-uZ51QFPM04m3iCBTQSuQm0Ta3TUGQJ1zHP0zShhmZZTDUPRJTbsBgxHZmMGi0xTYgTyalMfGafOwv10IJd1KDebba719NVndhG-EJ6jVJ0_8yXjhNVhDQ46J207RTwUGyobqPT8PZlNHwZDIoId7rwv_2bRfjkcmlyXIJ_CWbMYBllqF3LyjJ8fMa2uAKH3x_6GKmJzXnJj5LTc0z6A4K9LqSkIyXpEym6KEi76DI1xBHQ_lyFi3f5ljWoDYYDsw6Ea2sU5lxqivR3JgkDY0Kb2zGpg1ybBqwWo6nc_B8rPO9M4wbs_XPduQOFki-ljRpleQP2KxQo7ajZUSHkVmGJhshRJXJUKBqw89d2VBKSvGq1WSFl-vIpTDbevr0N82e9dku1mp3zz_CBYhtP0ai-CbXJ_YP5AnP616Q_vt9y-Cdw896w-gMbGT7V
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Guiding+the+Students+in+High+School+by+Using+Machine+Learning&rft.jtitle=TEM+Journal&rft.au=Ababneh%2C+Mustafa&rft.au=Aljarrah%2C+Aayat&rft.au=Karagozlu%2C+Damla&rft.au=Ozdamli%2C+Fezile&rft.date=2021-02-01&rft.pub=UIKTEN+-+Association+for+Information+Communication+Technology+Education+and+Science&rft.issn=2217-8309&rft.eissn=2217-8333&rft.volume=10&rft.issue=1&rft.spage=384&rft_id=info:doi/10.18421%2FTEM101-48
thumbnail_s http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fwww.ceeol.com%2F%2Fapi%2Fimage%2Fgetissuecoverimage%3Fid%3Dpicture_2021_59420.jpg