Personalizing student's profiles using JESS in A Learning Management System(LMS)

AlHamad, Ahmad; Akour, Mohammed Ali; Al-Omari, Farouq

doi:10.1109/imcl.2012.6396460

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…Additionally, web-based and online education has transitioned from the simple provision of materials for students to download, study, and complete assignments to include intelligent and adaptive web-based systems that learn instructor and learner behavior to adjust accordingly and enrich the educational experience (Deka, 2015). Artificial intelligence has been incorporated into administration, instruction or teaching, and learning, according to Chassignol et al, forming the framework for analyzing and understanding artificial intelligence in education (Alhamad et al, 2012). A personalized mobile education system is an innovative solution that aims to revolutionize the traditional education system by leveraging the power of technology to provide adaptive and personalized learning experiences to students.…”

Section: Literature Reviewmentioning

confidence: 99%

AI-Powered Personalized Mobile Education for New Zealand Students

Charles

2023

Int. J. TIM

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This research endeavors to develop and assess a customized mobile education system for students in New Zealand, employing the principles of artificial intelligence (AI) and user-centered design (UCD). The objective is to overcome the limited personalization observed in current mobile education solutions by offering tailored learning content and recommendations based on individual preferences, thereby accommodating the diverse requirements of students. A mixed-methods approach will be utilized, encompassing user research, persona development, user journey mapping, design, development, and evaluation. Participants, including New Zealand students, parents, and teachers, will actively engage in multiple research phases to ensure the effective implementation of user-centered design principles. By showcasing the potential of AI-driven personalization in enhancing the learning experience for students, this study contributes to the growing utilization of AI algorithms and systems within the educational context.

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Section: Literature Reviewmentioning

confidence: 99%

AI-Powered Personalized Mobile Education for New Zealand Students

Charles

2023

Int. J. TIM

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“…그 밖에 JESS를 이용한 학습과정 추천 이러닝 시스템 등 JESS는 다양한 전문가 시스템에 적용되어 연구되고 있으며, 전문가 시스템 이외에도 상황 인지 시스템, 온톨 로지와의 통합 추론 등의 연구도 이루어지고 있다 [3,5,23] . 본 논문에서는 복잡하고 방대한 차량 시스템과 정비 훈련 과정을 어떻게 표현하며, JESS를 이용하여 어떻게 규칙을 작성하는지에 대해 다룬다.…”

Section: Jess 추론 엔진unclassified

An Experience-Type Car Maintenance Training System based on Logic Simulation

Park¹,

Park²,

Park³

et al. 2014

Journal of the Korea Society for Simulation

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Recently, researches on the application of IT technology to various fields including traditional industries are becoming more popular. One challenge in the field of education is to understand the way how technology may support learning, and research on self-directed learning has been accelerated by integrating education and IT technology. The process of self-directed learning in e-learning applications such as Car Maintenance Training is very difficult and complicated. Previous studies on car maintenance training applications provided simple training scenarios with predetermined action sequences. To incorporate self-directed learning in car maintenance training, however, trainees must be able to perform various maintenance operations himself and experience various situations. To provide such functionality, it is necessary to obtain an accurate response for various operations of trainees, but it requires complicated calculations with respect to varieties in the electrical and mechanical processes of a car. In this paper, we develop a logic simulation agent using JESS inference engine in which self-directed learning is achieved by capturing the behavior of trainees and simulating car operations without complicated physical simulations in car maintenance training.

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