Assessment of the influence of adaptive E-learning on learning effectiveness of primary school pupils

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18440%2F19%3A50015408" target="_blank" >RIV/62690094:18440/19:50015408 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62690094:18470/19:50015408

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0747563218302590?dgcid=coauthor" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0747563218302590?dgcid=coauthor</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.chb.2018.05.033" target="_blank" >10.1016/j.chb.2018.05.033</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessment of the influence of adaptive E-learning on learning effectiveness of primary school pupils

Popis výsledku v původním jazyce

The paper deals with assessment of the influence of adaptive e-learning as a part of learning analytics on learning effectiveness of primary school pupils. E-learning exercises containing implemented adaptive elements were created in accordance with the Bloom&apos;s Taxonomy. Within the pilot study the authors detected high percentage success rate during e-learning exercise completion. This leads to formulation of the question „Can any e-learning exercise of lower cognitive levels of Bloom&apos;s taxonomy be skipped without affecting the cognitive thinking for solution of the e-learning exercises on upper cognitive levels of Bloom&apos;s taxonomy?” To answer the question, the algorithm of adaptive e-learning was defined and hypotheses were established. The research was carried out as pedagogical experiment comparing the results of both experimental and control groups of pupils. The research hypotheses were confirmed by statistical analysis of the research data. The results confirm that adaptive features of e-learning can be implemented in the primary education. The research results confirm the fact that educational objectives can be achieved with some pupils more effectively. Consequently, the implementation of adaptive elements into e-learning at the primary school supports an individual approach when completing e-learning exercises according to the principle of cognitive computing.

Název v anglickém jazyce

Assessment of the influence of adaptive E-learning on learning effectiveness of primary school pupils

Popis výsledku anglicky

The paper deals with assessment of the influence of adaptive e-learning as a part of learning analytics on learning effectiveness of primary school pupils. E-learning exercises containing implemented adaptive elements were created in accordance with the Bloom&apos;s Taxonomy. Within the pilot study the authors detected high percentage success rate during e-learning exercise completion. This leads to formulation of the question „Can any e-learning exercise of lower cognitive levels of Bloom&apos;s taxonomy be skipped without affecting the cognitive thinking for solution of the e-learning exercises on upper cognitive levels of Bloom&apos;s taxonomy?” To answer the question, the algorithm of adaptive e-learning was defined and hypotheses were established. The research was carried out as pedagogical experiment comparing the results of both experimental and control groups of pupils. The research hypotheses were confirmed by statistical analysis of the research data. The results confirm that adaptive features of e-learning can be implemented in the primary education. The research results confirm the fact that educational objectives can be achieved with some pupils more effectively. Consequently, the implementation of adaptive elements into e-learning at the primary school supports an individual approach when completing e-learning exercises according to the principle of cognitive computing.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computers in human behavior

ISSN

0747-5632

e-ISSN

—

Svazek periodika

92

Číslo periodika v rámci svazku

March

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

691-705

Kód UT WoS článku

000457504100065

EID výsledku v databázi Scopus

2-s2.0-85058325716