Evaluation of augmented reality remedial worksheet based on AVCTP algorithm for negative numbers (AR2WN2)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The original work on development of Augmented Reality Remedial Worksheet System for Negative Numbers Subtraction Operation (AR2WN2),which is a system designed to assist remedial learners visualize correct thinking process (CTP) on negative numbers subtraction operation, using visualization of correct thinking process (AVCTP) via an animated step-by-step algorithm involved five stages: i) to identifying incorrect steps taken by respondents for items tested; ii) to predict incorrect thinking process (ITP) of respondents based on incorrect solution identified at stage (i); iii) to scaffold respondents based on the ITP predicted towards a CTP based on AVCTP that can be emulated by remedial learners; iv) to create a flowchart algorithm for negative numbers subtraction operation involving two integers based on the AVCTP identified from stage (iii) and v) evaluation of AR2WN2 through a usability testing. Thus, a Usability Testing on AR2WN2 involving two integers based on AVCTP, was conducted on the five (5) selected constructs: ease of use, learnability, effectiveness, flexibility and attitude of users on the AR2WN2 system. The respondents of this study involved 124 students aged 14 years old and six (6) Mathematics teachers from two secondary schools in Malaysia. However, this paper highlights only the Effectiveness and Ease of use constructs based on the five (5) components/modules: History, Thematic (Job), Diagnostic Assessment, Hybrid and Learning Game. The Ease of use construct and its components were measured based on the Data Analysis Model 1 (DAM1). Generally, findings of the usability testing on the 'Effectiveness' and 'Ease of use' constructs of the AR2WN2 system based on the components mentioned earlier, indicated either highly or moderately accepted or both respectively, by the remedial learners and Mathematics teachers.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages581-594
Number of pages14
Volume8237 LNCS
DOIs
Publication statusPublished - 2013
Event3rd International Visual Informatics Conference, IVIC 2013 - Selangor
Duration: 13 Nov 201315 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8237 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Visual Informatics Conference, IVIC 2013
CitySelangor
Period13/11/1315/11/13

Fingerprint

Augmented reality
Augmented Reality
Usability Testing
Subtraction
Evaluation
Testing
Scaffolds
Learnability
Visualization
Malaysia
Integer
Students
Scaffold
Data analysis
Diagnostics
Flexibility
Game
Predict
Module

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Badioze Zaman, H., Periasamy, E. A., Ahmad, A., Sulaiman, R., Ang, M. C., & Mat Nayan, N. (2013). Evaluation of augmented reality remedial worksheet based on AVCTP algorithm for negative numbers (AR2WN2). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8237 LNCS, pp. 581-594). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS). https://doi.org/10.1007/978-3-319-02958-0_53

Evaluation of augmented reality remedial worksheet based on AVCTP algorithm for negative numbers (AR2WN2). / Badioze Zaman, Halimah; Periasamy, Elango Al; Ahmad, Azlina; Sulaiman, Riza; Ang, Mei Choo; Mat Nayan, Norshita.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. p. 581-594 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Badioze Zaman, H, Periasamy, EA, Ahmad, A, Sulaiman, R, Ang, MC & Mat Nayan, N 2013, Evaluation of augmented reality remedial worksheet based on AVCTP algorithm for negative numbers (AR2WN2). in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8237 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8237 LNCS, pp. 581-594, 3rd International Visual Informatics Conference, IVIC 2013, Selangor, 13/11/13. https://doi.org/10.1007/978-3-319-02958-0_53
Badioze Zaman H, Periasamy EA, Ahmad A, Sulaiman R, Ang MC, Mat Nayan N. Evaluation of augmented reality remedial worksheet based on AVCTP algorithm for negative numbers (AR2WN2). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS. 2013. p. 581-594. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-02958-0_53
Badioze Zaman, Halimah ; Periasamy, Elango Al ; Ahmad, Azlina ; Sulaiman, Riza ; Ang, Mei Choo ; Mat Nayan, Norshita. / Evaluation of augmented reality remedial worksheet based on AVCTP algorithm for negative numbers (AR2WN2). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. pp. 581-594 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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