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Open AccessJournal ArticleDOI

A Parametrized Comparative Analysis of Performance Between Proposed Adaptive and Personalized Tutoring System “Seis Tutor” With Existing Online Tutoring System

- 01 Jan 2022 - 
- Vol. 10, pp 39376-39386
TLDR
Seis Tutor as discussed by the authors is a face-to-face tutoring system that offers a learning environment that best suits the learner's preferences (learning styles) and grasping levels (learning levels).
Abstract
Face-to-face tutoring offers a learning environment that best suits the learner’s preferences (learning styles) and grasping levels (learning levels). This cognitive intelligence has been blended in our proposed intelligent tutoring system christened as “Seis Tutor”. In this paper, we have detailed the architecture of Seis Tutor system and compared it with other existing traditional tutoring systems. Further, the performance of Seis Tutor has been evaluated in terms of personalization and adaptation through a comparison with some existing tutoring systems, i.e., My Moodle, Course-Builder, and Teachable.

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Journal ArticleDOI

Security in IoT Mesh Networks Based on Trust Similarity

- 01 Jan 2022 - 
TL;DR: In this paper , a secure and sustainable novel trust mechanism framework was proposed to identify the malicious nodes in wireless mesh networks and improve the nodes' cooperation, where direct trust was computed based on the packet-forwarding behavior of a node and indirect trust is computed by aggregating the recommendations using the weighted D-S theory.
Journal ArticleDOI

Construction of a Tangible VR-Based Interactive System for Intergenerational Learning

TL;DR: In this article , a novel interactive system for intergenerational learning, aimed at promoting the elderly people's interactions with younger generations, was presented, where gesture detection, sound sensing, and VR techniques were used to play animation games that simulated traditional puppetry.
Journal ArticleDOI

An Innovative JavaScript-Based Framework for Teaching Backtracking Algorithms Interactively

Moustafa M. Nasralla
- 27 Jun 2022 - 
TL;DR: This article proposes a framework to implement interactive online tools showing examples of backtracking algorithms in which students can graphically observe execution step-by-step, illustrated with the n-queens problem.
Book ChapterDOI

Pedagogy Modeling for Building SeisTutor Intelligent Tutoring System

TL;DR: In this paper , a detailed design of SeisTutor and the adaptive features incorporated in the pedagogy model is described, followed by an in-depth discussion of adaptive features: custom-tailored curriculum sequencing module, tutoring strategy recommendation module, and learner performance analyzer module.
Proceedings ArticleDOI

Futuristic Opportunities and Challenges for Cognitive Tutoring Systems

TL;DR: In this article , the authors describe the existing intelligent feature incorporated in the Intelligent Tutoring System (ITS) and highlight the limiting factors, opportunities, and existing features incorporated in this system.
References
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Intelligent web-based learning system with personalized learning path guidance

TL;DR: Experimental results indicated that applying the proposed genetic-based personalized e-learning system for web-based learning is superior to the freely browsing learning mode because of high quality and concise learning path for individual learners.
Journal ArticleDOI

Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor

TL;DR: The results show that ITAP is capable of producing hints for almost any given state after being given only a single reference solution, and that it can improve its performance by collecting data over time.
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Andes: A Coached Problem Solving Environment for Physics

TL;DR: This paper gives an overview of Andes, focusing on the overall architecture and the student's experience using the system.
Journal ArticleDOI

Knowledge management driven firm performance: the roles of business process capabilities and organizational learning

TL;DR: A model was proposed for defining the performance with the relationships between these issues and knowledge assets and process capabilities are two different but relevant drivers in a value creation process.
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