Chatbots for learning: A review of educational chatbots for the Facebook Messenger
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F20%3A10244446" target="_blank" >RIV/61989100:27230/20:10244446 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0360131520300622" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360131520300622</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compedu.2020.103862" target="_blank" >10.1016/j.compedu.2020.103862</a>
Alternative languages
Result language
angličtina
Original language name
Chatbots for learning: A review of educational chatbots for the Facebook Messenger
Original language description
With the exponential growth in the mobile device market over the last decade, chatbots are becoming an increasingly popular option to interact with users, and their popularity and adoption are rapidly spreading. These mobile devices change the way we communicate and allow ever-present learning in various environments. This study examined educational chatbots for Facebook Messenger to support learning. The independent web directory was screened to assess chatbots for this study resulting in the identification of 89 unique chatbots. Each chatbot was classified by language, subject matter and developer's platform. Finally, we evaluated 47 educational chatbots using the Facebook Messenger platform based on the analytic hierarchy process against the quality attributes of teaching, humanity, affect, and accessibility. We found that educational chatbots on the Facebook Messenger platform vary from the basic level of sending personalized messages to recommending learning content. Results show that chatbots which are part of the instant messaging application are still in its early stages to become artificial intelligence teaching assistants. The findings provide tips for teachers to integrate chatbots into classroom practice and advice what types of chatbots they can try out.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers and Education
ISSN
0360-1315
e-ISSN
—
Volume of the periodical
151
Issue of the periodical within the volume
July 2020
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
1-11
UT code for WoS article
000522703400003
EID of the result in the Scopus database
2-s2.0-85080928467