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Journal Article

Students' Perceived Usefulness of Formative Feedback for a Computer‑adaptive Test  pp31-38

Mariana Lilley, Trevor Barker

© Mar 2007 Volume 5 Issue 1, ECEL 2006, Editor: Shirley Williams, pp1 - 86

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Abstract

In this paper we report on research related to the provision of automated feedback based on a computer adaptive test (CAT), used in formative assessment. A cohort of 76 second year university undergraduates took part in a formative assessment with a CAT and were provided with automated feedback on their performance. A sample of students responded in a short questionnaire to assess their attitude to the quality of the feedback provided. In this paper, we describe the CAT and the system of automated feedback used in our research, and we also present the findings of the attitude survey. On average students reported that they had a good attitude to our automated feedback system. Statistical analysis was used to show that attitude to feedback was not related to performance on the assessment (p>0.05). We discuss this finding in the light of the requirement to provide fast, efficient and useful feedback at the appropriate level for students.

 

Keywords: computer-assisted assessment, formative assessment, adaptive testing

 

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Journal Article

Greek Lyric Poetry Undergraduate Course  pp101-114

Maria Xanthou

© Jun 2013 Volume 11 Issue 2, Editor: Roy Williams, pp80 - 167

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Abstract

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Keywords: e-learning, online assessment, adaptive assessment, learning management systems, web-based systems, ancient Greek literature, Greek lyric poetry

 

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Journal Article

Employing Online S‑P Diagnostic Table for Qualitative Comments on Test Results  pp263-271

Chien-hwa Wang, Cheng-ping Chen

© Aug 2013 Volume 11 Issue 3, ECEL 2012, Editor: Hans Beldhuis and Koos Winnips, pp168 - 272

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Abstract

Abstract: The major concerns of adaptive testing studies have concentrated on effectiveness and efficiency of the system built for the research experiments. It has been criticised that such general information has fallen short of providing qualitative descriptions regarding learning performance. Takahiro Sato of Japan proposed an analytical diagram called Student‑Problem Chart (S‑P Chart) in the 1970. The S‑P Chart is able to establish a learning diagnostic table which comments student learning performance in a verbal form. The advancement of computer technology has made the S‑P analytical process more applicable for school teachers. This study examined how online comments provided by the S‑P diagnostic table could affect the students’ learning attitude. One hundred sixth grade students were selected to be the subjects of the study. An online embedded test was given to the subjects and an S‑P diagnostic table was drawn by the computer to display instant comments on each student’s learning performance. A Questionnaire survey and in‑depth interviews were performed after the experiment. Results indicated that students liked the online qualitative comments. This is because students were able to instantly understand why they performed well/poor in the test, which is much beyond the numerical scores can explain. The results also showed that the online S‑P diagnostic table made students more circumspect on answering the test questions in order to reduce careless mistakes. Students would also be more likely to review what missed on the test. However, the S‑P comment table seemed to have no effect on improving their learning performance. An online iterative drilling platform was consequently built to incorporate with the S‑P diagnostic process to assist poorly performed students. It may effectively work with the S‑P diagnostic process to provide constructive remediation for the students who exhibited a poor performance on the S‑P chart.

 

Keywords: Keywords: adaptive test, the student-problem chart, learning attitude, iterative drilling

 

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Journal Article

Use of Adaptive Study Material in Education in E‑learning Environment  pp172-182

Kateřina Kostolányová, Jana Šarmanová

© May 2014 Volume 12 Issue 2, ECEL, Editor: Mélanie Ciussi, pp126 - 226

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Abstract

Abstract: Personalised education is a topical matter today and the impact of ICT on education has been covered extensively. The adaptation of education to various types of student is an issue of a vast number of papers presented at diverse conferences. Th e topic incorporates the fields of information technologies and eLearning, but in no small part also the field of pedagogy. By interconnecting eLearning with the requirement for personalized education, we obtain a new term … automatic adaptive learning. W e asked ourselves a question if the process of automatic adaptive learning (i.e. going through the electronic study course which suits students preferences and learning style) can be modeled. The optimal adaptive process will respect students differen ces based on determined learning styles and with regard to their knowledge and skills as changed during the course. On the basis of identification of their personal characteristics and qualities, students will be presented with a study material which suit s them the most. One of the basic building blocks of adaptive education is the storage of study materials. In order to be able to prepare tailored education for every type of student, study material must be prepared in many different variants, in differen t form. This form should be different from the classic form of text‑books. This article presents the issues connected with the creation of study materials suitable for adaptive education in more detail; the basis for this is the pedagogical analysis of th e starting prerequisites applicable in eLearning. In conclusion, a particular way of use of such created study material in electronic adaptive education will be outlined.

 

Keywords: Keywords: study material, adaptation, learning style, creation of methodology, e-learning, personalization of education, theory of adaptive e-learning

 

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Journal Article

Location‑Based Augmented Reality for Mobile Learning: Algorithm, System, and Implementation  pp138-148

Qing Tan, William Chang, Kinshuk

© Feb 2015 Volume 13 Issue 2, ICEL2014, Editor: Paul Griffiths, pp57 - 148

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Abstract

Abstract: AR technology can be considered as mainly consisting of two aspects: identification of real‑world object and display of computer‑generated digital contents related the identified real‑world object. The technical challenge of mobile AR is to iden tify the real‑world object that mobile device's camera aim at. In this paper, we will present a location‑based object identification algorithm that has been used to identify learning objects in the 5R adaptive location‑based mobile learning setting. We wi ll also provide some background of the algorithm, discuss issues in using the algorithm, and present the algorithm empowered mobile learning system and its implementation.

 

Keywords: Keywords: Augmented Reality, Object Identification, Location-Based Adaptive Mobile Learning

 

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Journal Article

Design Framework for an Adaptive MOOC Enhanced by Blended Learning: Supplementary Training and Personalized Learning for Teacher Professional Development  pp15-30

Karsten Gynther

© Apr 2016 Volume 14 Issue 1, ECEL 2015, Editor: Amanda Jefferies and Marija Cubric, pp1 - 80

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Abstract

Abstract: The research project has developed a design framework for an adaptive MOOC that complements the MOOC format with blended learning. The design framework consists of a design model and a series of learning design principles which can be used to d esign in‑service courses for teacher professional development. The framework has been evaluated by alpha‑testing and beta‑testing, and the relationship between design principles and the intended, the implemented and the attained designs has been analyzed. The project is methodologically inspired by Design Based Research.

 

Keywords: Keywords: adaptive learning, personalized curriculum, MOOC, blended learning, design based research

 

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Journal Article

Adaptive learning environments and e‑Learning standards  pp174-187

Alexandros Paramythis, Susanne Loidl-Reisinger

© Jan 2004 Volume 2 Issue 1, Special Issue for ECEL 2003, Editor: Roy Williams, pp1 - 239

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Abstract

 

Keywords: Adaptive, e-Learning, standards, personalisation, interoperabilty

 

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Journal Issue

Volume 11 Issue 2 / Jun 2013  pp80‑167

Editor: Roy Williams

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Keywords: online learning; professional development; perceived usefulness of technology; perceived ease of use of technology; online qualifications, pre-service teacher education; secondary school teachers; technology uses in education; teaching methods, weblogs, blogs, e-learning; online assessment; adaptive assessment; learning management systems; web-based systems; ancient Greek literature; Greek lyric poetry, action research, reflective practitioner, social networking technologies, continuous professional development, virtual classroom, synchronous, online learning, technology adoption, e-cheating, turnitin.com, writecheck.com, plagiarism, face-to-face, online, virtual worlds, LMS, sloodle

 

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