Affective recommender systems in the educational field. A systematic literature review

C Salazar, J Aguilar, J Monsalve-Pulido… - Computer Science …, 2021 - Elsevier
Students' emotions have been proven to play a fundamental role in the teaching/learning
process. As educational content can modify the emotional state, emotions are crucial …

Analytical map** of opinion mining and sentiment analysis research during 2000–2015

R Piryani, D Madhavi, VK Singh - Information Processing & Management, 2017 - Elsevier
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

The recommender system: a survey

B Alhijawi, Y Kilani - International Journal of Advanced …, 2020 - inderscienceonline.com
Recommender system is a helpful tool for hel** the user in cutting the time needs to find
personalised products, documents, friends, places and services. In addition, the …

Practical guidelines for designing and evaluating educationally oriented recommendations

OC Santos, JG Boticario - Computers & Education, 2015 - Elsevier
There is a need for designing educationally oriented recommendations that deal with
educational goals as well as learners' preferences and context in a personalised way. They …

Toward interactive context-aware affective educational recommendations in computer-assisted language learning

OC Santos, M Saneiro, JG Boticario… - New Review of …, 2016 - Taylor & Francis
This work explores the benefits of supporting learners affectively in a context-aware learning
situation. This features a new challenge in related literature in terms of providing affective …

Recommender systems and scratch: An integrated approach for enhancing computer programming learning

J Cárdenas-Cobo, A Puris… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Learning computer programming is a challenging process. Among the current approaches
for overcoming this challenge, visual programming languages (VPLs), such as Scratch, have …

A generic architecture of an affective recommender system for e-learning environments

JC Salazar, J Aguilar, J Monsalve-Pulido… - Universal Access in the …, 2024 - Springer
Personalization of suggestions of contents plays a key role in adaptive virtual learning
environments. Good recommendations can raise the interest of students in the learning …

EduRecomSys: an educational resource recommender system based on collaborative filtering and emotion detection

M Bustos López, G Alor-Hernández… - Interacting with …, 2020 - academic.oup.com
Due to the large amount of data that is available on the Web, it has become increasingly
difficult to locate educational resources that satisfy specific learning needs. Furthermore, the …

emoLearnAdapt: A new approach for an emotion-based adaptation in e-learning environments

A Boughida, MN Kouahla, Y Lafifi - Education and Information …, 2024 - Springer
In e-learning environments, most adaptive systems do not consider the learner's emotional
state when recommending activities for learning difficulties, blockages, or demotivation. In …

Tracking data in open learning environments

JL Santos, K Verbert, J Klerkx, E Duval… - Journal of Universal …, 2015 - research.ou.nl
The collection and management of learning traces, metadata about actions that students
perform while they learn, is a core topic in the domain of Learning Analytics. In this paper …