Training the brain: Fact and fad in cognitive and behavioral remediation

S Rabipour, A Raz - Brain and cognition, 2012 - Elsevier
Putatively safe and effective for improving cognitive performance in both health and disease,
products purported to train the brain appeal to consumers and healthcare practitioners. In an …

Developing adaptive e-learning environment using cognitive and noncognitive parameters

A Siddique, QS Durrani… - Journal of Educational …, 2019 - journals.sagepub.com
The falling learning outcome is one of the major challenges faced by most of the educational
systems. Adaptive educational systems (AESs) are viewed as catalyst to reinforce learning …

Predicting visuospatial and verbal working memory by individual differences in e-learning activities

D Fellman, A Lincke, E Berge, B Jonsson - Frontiers in Education, 2020 - frontiersin.org
E-learning is being considered as a widely recognized option to traditional learning
environments, allowing for highly tailor-made adaptive learning paths with the goal to …

Measuring cognitive load: A comparison of self-report and physiological methods

S Joseph - 2013 - keep.lib.asu.edu
This study explored three methods to measure cognitive load in a learning environment
using four logic puzzles that systematically varied in level of intrinsic cognitive load …

An individual differences approach in designing ontologies for efficient personalization

N Tsianos, P Germanakos, M Belk, Z Lekkas… - Semantic Hyper …, 2013 - Springer
This article discusses the potential role of cognitive individual differences in the context of
designing ontologies for personalization on users' characteristics. The theoretical framework …

Designing adaptive e-learning environment using individual differences

A Siddique - Pakistan Journal of Science, 2017 - pjosr.com
Adaptive educational systems (AESs) aim at delivery of effective education through user
modeling techniques. Adaptation effect is provided on the basis of individual differences …

Optimizing adaptive learning using statistical and network analysis within the chunk learning system

W Lucero - 2020 - apps.dtic.mil
What can we learn from analyzing how a learner operates within an e-learning system This
research examines an adaptive education system known as CHUNK Learning. This system …

Application-oriented context modeling and reasoning in pervasive computing

X Lin, S Li, Z Yang, W Shi - The Fifth International Conference …, 2005 - ieeexplore.ieee.org
Context-awareness is considered as a key problem in designing more adaptive applications
in pervasive computing community. Context modeling and reasoning, which deal with high …

The Effectiveness of Cognitive Training on Cognitive Skills in Children Ages 5 to 7-Years Old

DR Stanford - 2022 - search.proquest.com
The purpose of this casual-comparative study was to explore the effectiveness of the LiftOff
one-on-one cognitive training program on early childhood children ages 5 to 7. The goal …

[PDF][PDF] Husnain A. Naqvi1

A Siddique, QS Durrani - academia.edu
The falling learning outcome is one of the major challenges faced by most of the educational
systems. Adaptive educational systems (AESs) are viewed as catalyst to reinforce learning …