Results 21 to 30 of about 1,303,110 (322)
Exploring participatory design for SNS-based AEH systems [PDF]
, 2012 The rapidly emerging and growing social networking sites (SNS) offer an opportunity to improve adaptive e-learning experience by introducing a social dimension, connecting users within the system.
Al Qudah, Dana +2 more
core +1 more source
Domain Adaptive Ensemble Learning [PDF]
IEEE Transactions on Image Processing, 2021 The problem of generalizing deep neural networks from multiple source domains to a target one is studied under two settings: When unlabeled target data is available, it is a multi-source unsupervised domain adaptation (UDA) problem, otherwise a domain generalization (DG) problem.
Kaiyang Zhou +3 more
openaire +3 more sources
Neural encoding of task-dependent errors during adaptive learning
eLife, 2020 Effective learning requires using errors in a task-dependent manner, for example adjusting to errors that result from unpredicted environmental changes but ignoring errors that result from environmental stochasticity.
Chang-Hao Kao +3 more
doaj +1 more source
What are your “odds-of-success”? Reflecting on the role of adaptive leadership in Leicester City’s (2015/16) English Football Premier League Title win [PDF]
, 2021 Purpose: This article utilizes the concept of adaptive leadership to explore how Leicester City, a small, provincial football club, defied odds of 5000-1 to became only the sixth winners of the English Premier League.
Coleman, Andy
core +1 more source
Engineering Proceedings, 2023 Technology is used in research to satisfy the needs of the public. As there is a growing trend for adaptive/personalized learning, intelligent tutoring systems are used in various studies to overcome personal limitations. Thus, we reviewed the trends and
Thanyaluck Ingkavara +2 more
doaj +1 more source
Adaptive Social Learning [PDF]
SSRN Electronic Journal, 2016 The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly interact in social-learning settings with distinct information structures. In each round of interaction, they use their experience gained in past rounds to draw inferences from their predecessors’ current decisions. Such adaptation yields
openaire +3 more sources
Kalman Filter Learning Algorithms and State Space Representations for Stochastic Claims Reserving
Risks, 2021 In stochastic claims reserving, state space models have been used for almost 40 years to forecast loss reserves and to compute their mean squared error of prediction.
Nataliya Chukhrova, Arne Johannssen
doaj +1 more source
A multi-modal study into students’ timing and learning regulation: time is ticking [PDF]
, 2018 Purpose This empirical study aims to demonstrate how the combination of trace data derived from technology-enhanced learning environments and self-response survey data can contribute to the investigation of self-regulated learning processes. Design/
Nguyen, Quan +2 more
core +2 more sources
2017 International Conference on Inventive Computing and Informatics (ICICI), 2017 The purpose of this project is to develop a novel proof-of-concept system in attempt to measure affective states during learning-tasks and investigate whether machine learning models trained with this data has the potential to enhance the learning experience for an individual.
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The Training of Morphological Decomposition in Word Processing and Its Effects on Literacy Skills
Frontiers in Psychology, 2017 This study set out to examine the effects of a morpheme-based training on reading and spelling in fifth and sixth graders (N = 47), who present poor literacy skills and speak German as a second language.
Irit Bar-Kochva +5 more
doaj +1 more source