E-Assessment Data Compatibility Resolution Methodology with Bidirectional Data Transformation

Autor/inn/en	Malik, Kaleem Razzaq; Ahmad, Tauqir
Titel	E-Assessment Data Compatibility Resolution Methodology with Bidirectional Data Transformation
Quelle	In: EURASIA Journal of Mathematics, Science & Technology Education, 13 (2017) 7, S.3969-3991 (23 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1305-8223
Schlagwörter	Computer Assisted Testing; Databases; Case Studies; Research Methodology; Documentation; Internet; Standards; Information Management; Mathematical Models; Grade 8; Foreign Countries; Pakistan + Suchen Sie Ihr Suchwort? Datenbank; Case study; Fallstudie; Case Study; Research method; Forschungsmethode; Dokumentation; Standard; Procurement of information; Informationsbeschaffung; Mathematical model; Mathematisches Modell; School year 08; 8. Schuljahr; Schuljahr 08; Ausland
Abstract	Electronic Assessment (E-Assessment) also known as computer aided assessment for the purposes involving diagnostic, formative or summative examining using data analysis. Digital assessments come commonly from social, academic, and adaptive learning in machine readable forms to deliver the machine scoring function. To achieve real-time and smart e-assessment, data modeling needs dramatic improvements at the level of representation which will improve examinees to gain prompt response instantly after attempting exams. Whereas, computer based inference to gain intelligence in assessing results through computations is becoming a useful feature in today's testing systems. Induction of rule base linked data is desired to be reformed from the old tradition data model found either in spread sheet or relational database used for data storage. These data forms are essential to be converted into semantical annotated form to support Artificial Intelligence. This can be done with the use of Semantic Web data model Resource Description Framework (RDF) built-up using hierarchical and linked data representation. Updating assessment source data later for results is one of the hardest problem of all viabilities in traditional and semantically augmented systems when combined for evaluating. This study purposes a methodology of bidirectional data transformation back and forth from Relational Database (RDB) and RDF. A case study representing qualitative analysis of transforming students' results information into RDF store reforming data as ready to be analyzed. At the end of this study outcomes show how data updating becomes feasible by following proposed data transformation procedure. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01