Claim Missing Document
Check
Articles

Found 2 Documents
Search

Precision in Special Education : Insights from a Systematic Review on Data-Based Decision Making Karimah, Afifah Nurul; Kurniawati, Farida
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 4 (2024): December
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13369

Abstract

This research aims to identify the types of special needs that benefit from Data-Based Decision Making (DBDM), the stages of its implementation, and the challenges teachers face in executing DBDM effectively. This research used a qualitative approach, with a systematic literature review method using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-analysis), systematically analyzing relevant articles from the Sage Journal and Wiley Online database scopus indexed published between 2013-2023. A total of 54 articles were initially identified, and through a thorough screening process, 5 articles were included for in-depth review. The data analysis technique for this research used a content analysis approach. The implementation of Data-Based Decision Making (DBDM) supports special needs students facing academic (e.g., reading and writing difficulties) as well as emotional or behavioral challenges. While Curriculum-Based Measurement (CBM) and Mastery Measures with clear decision rules are often used for academic difficulties, DBDM for behavioral issues is more complex due to the diversity of behaviors and required tools. Teachers are encouraged to apply DBDM, provided they develop skills in assessment selection, data processing, and analysis to adjust interventions effectively. Successful DBDM requires strong support from various school stakeholders. The review highlights the need for specialized training for teachers to enhance their competence in applying DBDM for diverse special needs students.
Precision in Special Education : Insights from a Systematic Review on Data-Based Decision Making Karimah, Afifah Nurul; Kurniawati, Farida
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 4 (2024): December
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13369

Abstract

This research aims to identify the types of special needs that benefit from Data-Based Decision Making (DBDM), the stages of its implementation, and the challenges teachers face in executing DBDM effectively. This research used a qualitative approach, with a systematic literature review method using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-analysis), systematically analyzing relevant articles from the Sage Journal and Wiley Online database scopus indexed published between 2013-2023. A total of 54 articles were initially identified, and through a thorough screening process, 5 articles were included for in-depth review. The data analysis technique for this research used a content analysis approach. The implementation of Data-Based Decision Making (DBDM) supports special needs students facing academic (e.g., reading and writing difficulties) as well as emotional or behavioral challenges. While Curriculum-Based Measurement (CBM) and Mastery Measures with clear decision rules are often used for academic difficulties, DBDM for behavioral issues is more complex due to the diversity of behaviors and required tools. Teachers are encouraged to apply DBDM, provided they develop skills in assessment selection, data processing, and analysis to adjust interventions effectively. Successful DBDM requires strong support from various school stakeholders. The review highlights the need for specialized training for teachers to enhance their competence in applying DBDM for diverse special needs students.