TY - JOUR
T1 - An Intelligent Nudging System to Guide Online Learners
AU - Elena Rodriguez, M.
AU - Elena Guerrero-Roldan, Ana
AU - Baneres, David
AU - Karadeniz, Abdulkadir
N1 - Publisher Copyright:
© 2022. All Rights Reserved.
PY - 2022/2
Y1 - 2022/2
N2 - This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout reduction, and satisfaction was evaluated through a study with 252 learners in a first-year course at a fully online university. Different learners' groups were designed, with each receiving a different set of nudges. Results showed that nudges positively impacted the learners' performance and satisfaction, and reduced dropout rates. The impact significantly increased when different types of nudges were provided. Our research reinforced the role of AI as useful in online, distance, and open learning for providing timely learner support, improved learning experiences, and enhanced learner-teacher communication.
AB - This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout reduction, and satisfaction was evaluated through a study with 252 learners in a first-year course at a fully online university. Different learners' groups were designed, with each receiving a different set of nudges. Results showed that nudges positively impacted the learners' performance and satisfaction, and reduced dropout rates. The impact significantly increased when different types of nudges were provided. Our research reinforced the role of AI as useful in online, distance, and open learning for providing timely learner support, improved learning experiences, and enhanced learner-teacher communication.
KW - artificial intelligence
KW - at-risk learners
KW - early warning system
KW - nudges
KW - online learning
UR - https://recerca.uoc.edu/documentos/655f4e20dfaaaa22360763f3
UR - https://www.scopus.com/pages/publications/85124980157
U2 - 10.19173/IRRODL.V22I4.5407
DO - 10.19173/IRRODL.V22I4.5407
M3 - Article
AN - SCOPUS:85124980157
SN - 1492-3831
VL - 23
SP - 41
EP - 62
JO - International Review of Research in Open and Distributed Learning
JF - International Review of Research in Open and Distributed Learning
IS - 1
ER -