Do Instructional Practices by Madrasah Teachers Promote Numeracy?

Kusaeri, Kusaeri; Yudha, Yusuf Hadi; Kadarisman, Yuna; Hidayatullah, Ahmad

doi:10.2991/assehr.k.220104.001

Cited by 1 publication

(1 citation statement)

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“…This feedback is a reference for teachers teaching the learning process in madrasas. With the treatment, student learning outcomes and literacy skills are expected to improve yearly (Kusaeri, Yudha et al, 2022). AKMI uses several different test sets (measuring the same construct) every year.…”

Section: Introductionmentioning

confidence: 99%

The Use of Stocking-Lord and Haebara Methods in Horizontal Equating: A Case of Indonesian Madrasah Competence Assessment

Kusaeri,

Ridho,

Wahyudi

2024

JP3I

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Indonesian Madrasah Competence Assessment (AKMI) is a national assessment implemented each year held by the Ministry of Religious Affairs. One of the uniqueness of the AKMI is the use of different tests every year. AKMI focuses on capturing the development of learning in Madrasa by comparing the test scores of the current year with the previous year. An equating process is crucial for valid results when comparing scores. Therefore, this research aims to (a) equate the scientific literacy assessment tools at AKMI in 2022 with 2023 and (b) evaluate the business process of developing AKMI scientific literacy instruments (along with the MSAT design), which has implications for the equating process. This study adopted a Non-Equivalent Anchor Test (NEAT) design because the two test sets were parallel years, and the participants were from a diverse population. The data is from the AKMI Science Literacy of the Ministry of Religious Affairs, with 303,987 participants in 2022 and 342,987 in 2023 from the Islamic elementary school level. A total of 674 scientific literacy instrument items in 2022 and 1,392 items in 2023, with 90 items used as anchor items. There are 3 stages of analysis: pre-equalization, equalization calibration, and post-equalization analysis. The results show that there are differences in item parameter estimation results between 2022 and 2023, where 2022 has a higher level of item difficulty. Furthermore, the Stocking-Lord and Haebara methods had proven to be effective and had produced estimates with minimal differences in the equating process. In addition, the anchor items used as the basis for the equating do not represent the items as a whole in the item pool. These findings indicate the need for firm, careful standardization based on psychometric principles of the process at AKMI, from developing items to assembling items, testing, determining anchor items, and assembling items in the MSAT application.

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Section: Introductionmentioning

confidence: 99%