Open AccessThe development of an instruments diagnostic two-tier multiple choice assisted smartphone on salt hydrolysis
Author(s) -
R. A. Bachtiar,
N. Nahadi,
Harry Firman
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1469/1/012085
Subject(s) - identification (biology) , computer science , syllabus , scripting language , mathematics education , multimedia , psychology , operating system , botany , biology
Research has been conducted instruments diagnostic two-tier multiple choice assisted smartphone on salt hydrolysis, or called Smartphone Tes Diagnostik Miskonsepsi Hidrolisis Garam (S-TDM-HG). In this study using descriptive methods that are part of research and development (R & D). The procedure of research is carried out through several stages of work, namely: (1) determination of subject matter; (2) study of core competencies, basic competencies, syllabus and material to determine concept labels, (3) concept map making, (4) identification of student misconceptions based on concept labels made in concept maps, (5) designing questions and answers (6) collection of existing multimedia, (7) making scripts and storyboards, (8) making S-TDM-HG. The development of the items adapted the stages developed by Treagust and McIntire. The concept map developed is used to identify what concepts will be developed in the process of making S-TDM-HG questions. Based on the essay test data given to 34 students in one of the high schools in Sumedang, the initial identification of misconceptions from students was generated to develop the S-TDM-HG problem in the first tier (tier 1) and second tier (tier 2). Based on the 16 response patterns obtained there are six possible answers to misconceptions, one possible answer understands the concept and nine possible answers that do not understand. 22 items developed, 20 questions are said to be valid with a CVI value of 0.9385. Based on 20 valid questions, which meet the content validation criteria as many as 18 items.