The Electronic Journal of e-Learning provides perspectives on topics relevant to the study, implementation and management of e-Learning initiatives
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Journal Article

A Novel Approach to Define Performance Metrics for Students' and Teachers' Evaluation  pp87-102

Pradipta Biswas, S.K. Ghosh

© Aug 2007 Volume 5 Issue 2, Editor: Shirley Williams, pp87 - 173

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Abstract

Evaluation is an unavoidable feature in any teaching or learning scenario. The evaluation strategy of students differs widely throughout the world. Further, most of the institutes do not use any objective technique to assess the teaching performance of a teacher. The present paper defines performance metrics both for student and teacher evaluation and also discusses the methodology for calculating relevant metrics. In a decision‑making scenario, these metrics may help in providing enough insight into the assimilation capability of students and teaching capability of teachers. Once measured properly for an adequate length of time, these metrics can also be customised to provide other useful information like utility of a course modification, institutional performance etc. The system has been tested for analysing four courses in a premier engineering institute and the outcome found to be encouraging.

 

Keywords: education technology, evaluation system data warehouse, performance metric, ontology

 

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Journal Article

A Data Warehouse Model for Micro‑Level Decision Making in Higher Education  pp235-244

Liezl van Dyk

© Nov 2008 Volume 6 Issue 3, Editor: Shirley Williams, Laura Czerniewicz, pp161 - 254

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Abstract

An abundance of research, by educational researchers and scholars of teaching and learning alike, can be found on the use of ICT to plan design and deliver learning activities and assessment activities. The first steps of the instructional design process are covered quite thoroughly by this. However, the use of ICT and quantitative methods to close the instructional design cycle by supporting sustainable decision making with respect to the evaluation of the effectiveness of teaching processes hold much unleashed potential. In this paper a business intelligence approach is followed in an attempt to take advantage ICT to enable the evaluation of the effectiveness of the process of facilitating learning. The focus is on micro‑level decision support based on data drawn from the Learning Management System (LMS). Three quantifiable measures of online behaviour and three quantifiable measures of teaching effectiveness are identified from literature to arrive at a 3x3 matrix according to which 9 measures of e‑teaching effectiveness can be derived by means of pair‑wise correlation. The value and significance of information are increased within context of other information. In this paper it is shown how the value of LMS tracking data increases within context of data from other modules or others years and that useful information is created when this tracking data is correlated with measures of teaching effectives such as results, learning styles and student satisfaction. This information context can only be created when a deliberate business intelligence approach if followed. In this paper a data warehouse model is proposed to accomplish exactly this.

 

Keywords: learning management system, data warehouse, student tracking, decision support, student feedback, learning styles

 

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Journal Issue

Volume 5 Issue 3, ICEL 2007 / Nov 2007  pp173‑250

Editor: Shirley Williams

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Editorial

The second International Conference on e‑Learning was held in New York during late June 2007. From the wealth of high quality papers submitted some 60 were selected for presentation at the conference. It was a very difficult task to select from these a group for inclusion in the journal, so it was decided that in this edition we would reflect the international nature of the conference and the diversity of learner groups and technologies addressed.

Recently a number of people from around the world have highlighted that children coming through the school system have different learning needs to previous generations, cultural and linguistic backgrounds are also cited as impacting on learning. However it is important that e‑Learning does not concentrate on a single demographic group and the papers in this edition present e‑Learning from different perspectives, including engaging with school‑aged children (O’Neill; Van de Sande and Leinhardt) and their teachers (Balcaen and Hirtz), through to the acceptance of e‑Learning by business (Leyking, Chikova and Loos). Nakayama, Yamamoto and Santiago have investigated the learning characteristics of university students from Japan and this on‑going work provides a useful insight for course developers, while Stoltenberg and Pforte look at the more technical aspects of e‑Learning and describe a prototype system developed for recording presentations.

 

Keywords: affective communication, affective states, assessment, community of practice, computing education, data warehouse, disaffection, distance education, education technology, eigenfaces, eigenvectors, evaluation system, data warehouse, face recognition, faculty development, focus group, higher education, image normalisation, impoverished learning, internet courses, junior faculty, novel program, ontology, ontology, pedagogical framework , performance metric, performance metric, policy document, post compulsory education, principal component analysis, professional development, quality evaluation, satisfaction, short-term module, staff development, statistics, teacher training, teaching practice, virtual entities, virtual environments, virtual learning environment, vocational students, web-based PBL, web-based SRL

 

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Journal Issue

Volume 5 Issue 2 / Jun 2007  pp87‑173

Editor: Shirley Williams

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Editorial

eLearning continues to develop and it is important that as there are developments the opportunity is taken to reflect on the impact of technology on enhancements to learning. In this issue we have included a number of papers that evaluate the use of eLearning from both the point of view of the learners and teachers.

Following best practice the format of the journal is now single column, this will make online reading easier than the old double column format.

 

Keywords: affective communication, affective states, assessment, community of practice, computing education, data warehouse, disaffection, distance education, education technology, eigenfaces, eigenvectors, evaluation system, data warehouse, face recognition, faculty development, focus group, higher education, image normalisation, impoverished learning, internet courses, junior faculty, novel program, ontology, ontology, pedagogical framework , performance metric, performance metric, policy document, post compulsory education, principal component analysis, professional development, quality evaluation, satisfaction, short-term module, staff development, statistics, teacher training, teaching practice, virtual entities, virtual environments, virtual learning environment, vocational students, web-based PBL, web-based SRL

 

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