Year: 2014
Type: article
Abstract: The fast and accurate advancement of information and communication \ndemand every education board to be always innovative in developing either the \ncurriculum or the learning models and the assessment tools with which the quality of \neducation could move forward competing with other countries. Hence, the issue of \nevaluation tools in digital form becomes a noticeable topic. In fact, based on the \nresearcher experience at schools, most of evaluation tools provided still in a paper \nand pencil test form and do not consider the level of Bloom taxonomy much. \nTherefore, the researcher is encouraged to conduct this research on the designing of \nDigital Assessment Bloom (DAB) by using design model of Thiagarajan 4D which \nconsists of: (1) define stage (pre-post analysis, students analysis, task analysis, \nconcept analysis and learning indicator formulation), (2) design stage (media \nelection, format election, and initial design), (3) develop stage (expert appraisal and \nlimited trial test), and (4) disseminate stage. Nevertheless, in this research, the stages \nonly proceed until develop stage with limited trial test. The analysis of the DAB \nproblem items consists of 4 components, they are: (1) problem difficulty degree, (2) \ndiscriminating power of the problem, (3) validity of the problem, and (4) reli ability \nof the problem. From the research, the problem difficulty degree is 16.7% which is \nconsidered as a hard category with very high reliability coeffisien. Meanwhile, 12.5 \n% of the problems have a very good discrimating power and 37.5% of the problems \nhave a good validity. The positive responses of the students involved in the limited \ntrial test suggest that they are interested in using DAB in doing mathematical tasks. \nTherefore, this DAB have fullfilled valid, reliable, and practical criteria.
Author: Sari Yurizka
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W1589419008