A review on data fusion in multimodal learning analytics and educational data mining

W Chango, JA Lara, R Cerezo… - … Reviews: Data Mining …, 2022 - Wiley Online Library
The new educational models such as smart learning environments use of digital and context‐
aware devices to facilitate the learning process. In this new educational scenario, a huge …

Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods

SN Karimah, S Hasegawa - Smart Learning Environments, 2022 - Springer
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …

Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments

S Yu, A Androsov, H Yan, Y Chen - Computers & Education, 2024 - Elsevier
Emotions play an important role in the learning process. With intelligent technology support,
identification and intervention of learners' cognition have made great achievement, but the …

[HTML][HTML] Affective state prediction of E-learner using SS-ROA based deep LSTM

S Rathi, KK Hiran, S Sakhare - Array, 2023 - Elsevier
An affective state of a learner in E-learning has gained enormous interest. The prediction of
the emotional state of a learner can enhance the outcome of learning by including …

Storytelling and Educational Robotics: A sco** review (2004-2024)

M Palioura, T Sapounidis - Computers & Education, 2024 - Elsevier
Storytelling has been used for years in educational practice and Educational Robotics is a
rapidly growing field worldwide. Accordingly, researchers have attempted to combine …

Effects of different types of cues and self-explanation prompts in instructional videos on deep learning: Evidence from multiple data analysis

X Zheng, Y Ma, T Yue, X Yang - Educational technology research and …, 2023 - Springer
The purpose of this study was to investigate the effects of different types of cues and self-
explanation prompts in instructional videos on intrinsic motivation, learning engagement …

Engagement detection and its applications in learning: a tutorial and selective review

BM Booth, N Bosch, SK D'Mello - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
Engagement is critical to satisfaction and performance in a number of domains but is
challenging to measure and sustain. Thus, there is considerable interest in develo** …

[HTML][HTML] Research on learning concentration recognition with multi-modal features in virtual reality environments

R Hu, Z Hui, Y Li, J Guan - Sustainability, 2023 - mdpi.com
Learning concentration, as a crucial factor influencing learning outcomes, provides the basis
for learners' self-regulation and teachers' instructional adjustments and intervention …

Current and future of technologies and services in smart e-learning

F Tian, Q Zheng, KM Chao - Service Oriented Computing and Applications, 2020 - Springer
Advance personalized learning is one of seventeen Grand Challenges in the twenty-first
century [1]. e-Learning is a key, popular, and supportive way to achieve this task. By …

Course complexity in engineering education using E-learner's affective-state prediction

SR Rathi, YD Deshpande - Kybernetes, 2023 - emerald.com
Purpose Affective states in learning have gained immense attention in education. The
precise affective-states prediction can increase the learning gain by adapting targeted …