A Distance Instructional System with Learning Performance Evaluation Mechanism

Terashima, Nobuyoshi; Lee, Ying-Chen

doi:10.4018/jdet.2012040104

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…During recent years, numerous studies have been conducted in instructional and learning systems by many instructors and educational researchers. Lee and Terashima (2012) introduced a Moodle-based educational system. The browsing time of each web page for students can be recorded and then by analyzing the information, teachers can find out factors which will affect students' learning performance, so as to apply the proposed learning performance evaluation mechanism to evaluate students' learning performance for providing adequate auxiliary learning materials to individual students.…”

Section: Related Workmentioning

confidence: 99%

An Instructional and Collaborative Learning System with Content Recommendation

Zheng

2013

International Journal of Distance Education Technologies

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n'ith the rapid development of Internet, e-learning bas become a new teaching and learning mode. However, lots oj e-learning systems deployed on Internet are just electronic learning materials with vety limited interactivity and diagnostic capability. This paper presents an integrated e-learning environment named iCLSR. hirstly, iCLSR provides an online environtnent for instruction and collaborative learning, which i;ets rid of the constraints of time and space. Second, online teaching and learning evaluation data from instructors and learners can be collected by iCLSR and can be analyzed with an improved PSK-means clustering alç^orithm. Third, the learning object lists can be recotntnendedfor learners based on online evaluation results and their learning iiistoiy. The application ofiCtSR demonstrates that it can recommend appropriate learning materials jor ¡earners, inspire comtuunication between learners and instructors, save time for users and therefore improve the instructional effects and learning performance.

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Section: Related Workmentioning

confidence: 99%

An Instructional and Collaborative Learning System with Content Recommendation

Zheng

2013

International Journal of Distance Education Technologies

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“…It is dominantly used in higher education and it has proven as a successful tool in that setting. 1,2 For that reason our faculty built a distance learning system (DLS) based on Moodle LMS. The system was built and developed as1.…”

Section: Introductionmentioning

confidence: 99%

Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study

Jovanović¹,

Vukičević²,

Milovanović³

et al. 2012

IJCIS

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In this research we applied classification models for prediction of students' performance, and cluster models for grouping students based on their cognitive styles in e-learning environment. Classification models described in this paper should help: teachers, students and business people, for early engaging with students who are likely to become excellent on a selected topic. Clustering students based on cognitive styles and their overall performance should enable better adaption of the learning materials with respect to their learning styles. The approach is tested using well-established data mining algorithms, and evaluated by several evaluation measures. Model building process included data preprocessing, parameter optimization and attribute selection steps, which enhanced the overall performance. Additionally we propose a Moodle module that allows automatic extraction of data needed for educational data mining analysis and deploys models developed in this study.

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Design of Ideological and Political Online Education System Based on Neural Network

Quan

2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A Distance Instructional System with Learning Performance Evaluation Mechanism

Cited by 6 publications

References 8 publications

An Instructional and Collaborative Learning System with Content Recommendation

An Instructional and Collaborative Learning System with Content Recommendation

Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study

Design of Ideological and Political Online Education System Based on Neural Network

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