Using Data Analytic to Visualize Learning Style for Students TVET Polytechnic Malaysia
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50016632" target="_blank" >RIV/62690094:18450/19:50016632 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/ICBDA47563.2019.8986993" target="_blank" >http://dx.doi.org/10.1109/ICBDA47563.2019.8986993</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICBDA47563.2019.8986993" target="_blank" >10.1109/ICBDA47563.2019.8986993</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Using Data Analytic to Visualize Learning Style for Students TVET Polytechnic Malaysia
Popis výsledku v původním jazyce
Nowadays, with the emerging of rapid revolution industries, there are various educational learning styles evolve in solving the way of teaching and learning among the TVET polytechnic students. However, the surrounding changes of enormous data in learning styles have tangled the TVET polytechnic students to grab the opportunity to improve the performance of achievement in class. The study was conducted via a quantitative data survey with a total of 332 respondents gathered from several polytechnic Malaysia with engineering and non-engineering field of studies. The use of data analytics is considered as a relatively new area in TVET education in visualizing the pattern of learning styles that polytechnic students' required to use to, since TVET polytechnic students have a different background of academic level and courses. Thus, the findings of this study is to visualize the pattern of potential learning styles among TVET polytechnic students with different field studies. This result aims to give TVET polytechnic lecturers' promising data that lead to an improved student's learning achievement outcome, give students the competitive edge and empower the lecturers teaching style in relation to the industrial revolution 4.0 (IR4.0) learning analytics. © 2019 IEEE.
Název v anglickém jazyce
Using Data Analytic to Visualize Learning Style for Students TVET Polytechnic Malaysia
Popis výsledku anglicky
Nowadays, with the emerging of rapid revolution industries, there are various educational learning styles evolve in solving the way of teaching and learning among the TVET polytechnic students. However, the surrounding changes of enormous data in learning styles have tangled the TVET polytechnic students to grab the opportunity to improve the performance of achievement in class. The study was conducted via a quantitative data survey with a total of 332 respondents gathered from several polytechnic Malaysia with engineering and non-engineering field of studies. The use of data analytics is considered as a relatively new area in TVET education in visualizing the pattern of learning styles that polytechnic students' required to use to, since TVET polytechnic students have a different background of academic level and courses. Thus, the findings of this study is to visualize the pattern of potential learning styles among TVET polytechnic students with different field studies. This result aims to give TVET polytechnic lecturers' promising data that lead to an improved student's learning achievement outcome, give students the competitive edge and empower the lecturers teaching style in relation to the industrial revolution 4.0 (IR4.0) learning analytics. © 2019 IEEE.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2019 IEEE Conference on Big Data and Analytics, ICBDA 2019
ISBN
978-1-72813-308-9
ISSN
—
e-ISSN
—
Počet stran výsledku
5
Strana od-do
29-33
Název nakladatele
Institute of Electrical and Electronics Engineers Inc.
Místo vydání
US, Piscataway
Místo konání akce
Penang, Malaysia
Datum konání akce
19. 11. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—