Service selection using an ensemble meta-learning classifier for students with disabilities
A Namoun, MA Humayun, O BenRhouma… - Multimodal …, 2023 - mdpi.com
Students with special needs should be empowered to use assistive technologies and
services that suit their individual circumstances and environments to maximize their learning …
services that suit their individual circumstances and environments to maximize their learning …
A two-phase machine learning framework for context-aware service selection to empower people with disabilities
The use of software and IoT services is increasing significantly among people with special
needs, who constitute 15% of the world's population. However, selecting appropriate …
needs, who constitute 15% of the world's population. However, selecting appropriate …
A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges
Integrating smart heterogeneous objects, IoT devices, data sources, and software services to
produce new business processes and functionalities continues to attract considerable …
produce new business processes and functionalities continues to attract considerable …
[PDF][PDF] ML-based meta model evaluation of mobile apps empowered usability of disables
HAB Muhammad, S BASHIR, Z NAZIR… - Journal of Tianjin …, 2023 - researchgate.net
People with disabilities have a variety of obstacles and barriers in their daily life, making it
difficult to execute routine tasks. The purpose of this paper is to improve their living …
difficult to execute routine tasks. The purpose of this paper is to improve their living …
Predicting Behavior Change in Students With Special Education Needs Using Multimodal Learning Analytics
The availability of educational data in novel ways and formats brings new opportunities to
students with special education needs (SEN), whose behaviour and learning are highly …
students with special education needs (SEN), whose behaviour and learning are highly …
Evaluating heterogeneous ensembles with boosting meta-learner
S Susan, A Kumar, A Jain - Inventive Communication and Computational …, 2021 - Springer
In this paper, heterogeneous ensemble of classifiers is evaluated and the outputs are
integrated by a boosting meta-learner. Both ADABOOST and XGBOOST are tried for the …
integrated by a boosting meta-learner. Both ADABOOST and XGBOOST are tried for the …
Using Machine Learning advances to unravel patterns in subject areas and performances of university students with Special Educational Needs and Disabilities …
Universities and colleges in the UK welcome about 30,000 students with special needs each
year. Research shows that the dropout rate for disabled students is much higher at 31.5 …
year. Research shows that the dropout rate for disabled students is much higher at 31.5 …
Demystifying help-seeking students interacting multimodal learning environment under machine learning regime
Help-seeking students are those who seek academic help during the assignment or course.
Classifying help-seeking students in a virtual learning environment (VLE) is a challenging …
Classifying help-seeking students in a virtual learning environment (VLE) is a challenging …
Towards the gamification of assistive technology for professionals with severe impairments
VE Contreras, G Gómez… - … conference on virtual …, 2019 - ieeexplore.ieee.org
This paper reports on a study commissioned by OceanBrowser Ltd, developers of OB3, a
collaborative e-learning application for online study in Higher Education. OB3 is designed to …
collaborative e-learning application for online study in Higher Education. OB3 is designed to …
Acceptance model of an innovative assistive technology by neurological patients with a motor disability of their upper limb
This study develops a novel theoretical model that clarifies the main determinants of the
acceptance of an innovative Assistive Technology by neurological/neuromuscular patients …
acceptance of an innovative Assistive Technology by neurological/neuromuscular patients …