การพัฒนาระบบการทดสอบวินิจฉัยความฉลาดทางดิจิทัลโดยใช้โมเดลวินิจฉัย พุทธิปัญญาที่มีการให้ข้อมูลย้อนกลับอัตโนมัติ สำหรับนักศึกศาตอนต้น

Abstract

The research and development's purpose were : (1) to develop the digital intelligence diagnostic test by the cognitive diagnostic model to feedback and (2) to develop the digital intelligence diagnostic test system with automated feedback for students in junior high school level. The research sample were lower secondary students in the 2022 academic year. This research consist of 2 phases: (1) to study the components of digital intelligence and to develop digital intelligence diagnostic test, the sample were 945 students with multistage multistage sampling and (2) to develop and evaluate the digital intelligence diagnostic test system with automated feedback for students in junior high school level, the sample were 30 students with purposive sampling. The research instrument consists of: the misconceptions form, the digital intelligence diagnostic test, and the assessment forms, the digital intelligence diagnosis test, and the assessment form. Analysis consists of: investigating the consistency between the item test and the Q-matrix using the IOC index, confirmatory factor analysis. examination of examination quality according to examination response theory. the reliability using the KR-20 method, the quality of the O-matrix using the PVAF index, EPS, and the probability of skill knowledge using the G-DINA model. The research results : The most misconceptions were Digital Footprint Management, Balance Use of Technology and Media and Information Literacy. The test consists of 45 content, 61 indicators and 8 Digital Competency. The quality of Test was Item Response Theory and PVAF index found that 94 questions passed the criteria. As for the test results, it was found that 1) Students were different genders, ages, grades, and GPA had significantly different digital intelligence scores at the .05 level of significance. 2) The most test takers passed low level of the criteria, Item 2 was the highest of guessing (62 percent), Item 32 was the highest of slips. (60 percent) 3) All question had the probability that the examiner had strengths correctly more than 50, except for Item 31 and 4) The examiner's greatest strength was the digital citizen identity. The digital intelligence diagnostic test system using cognitive diagnosis model with automated feedback for students in junior high school level, that was online network system written in PHP, MySQL database accessible at https://www.oneinthai. accessit com/dq. The system consists of 6 parts: 1) registration 2) creating a test set 3) testing 4) scoring, estimating the probability of mastery and evaluation of digital intelligence 5)Diagnosis and 6) database design. The evaluation results of the design and operation of system was very effective. Results of user experience and user and interface was at the highest level.