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A review on data fusion in multimodal learning analytics and educational data mining
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 …
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
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …
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 …
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
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 …
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 …
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 …
explanation prompts in instructional videos on intrinsic motivation, learning engagement …
Engagement detection and its applications in learning: a tutorial and selective review
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** …
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 …
for learners' self-regulation and teachers' instructional adjustments and intervention …
Current and future of technologies and services in smart e-learning
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 …
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 …
precise affective-states prediction can increase the learning gain by adapting targeted …