Assessing Student Skills in Socio-Scientific Issue Decision-Making using RASCH Modeling
- DOI
- 10.2991/978-2-38476-410-5_54How to use a DOI?
- Keywords
- students’ skills; social-scientific issue; rasch model analysis; highlevel thinking skills
- Abstract
Making accurate and scientific decisions is one of the high-level thinking skills that students need in the problem-solving process. This skill refers to the practice of thinking to make decisions based on certain considerations. This consideration is interpreted as the skill of students using their knowledge to solve problems and is therefore subjective. This study aims to assess students’ skills in making social-scientific issue (SSI) decisions using the Partial Credit Model (PCM) analysis approach of the Rasch model. This approach is based on individual-centered statistics, which allows researchers to estimate logit measures of student and item skills. The respondents were 121 chemistry students, who were asked to provide written responses to 18 open-ended questions. Responses were scored using a rubric, which was designed to measure the level of SSI decision-making skills. The study found that the SSI decision-making level of almost half of the students tended to be moderate, especially in considering options and strategies, while more than half tended to be at a low level, especially in giving consideration based on criteria. This finding reinforces the conclusion that in making SSI decisions, all respondents tend not to be based on consideration of the scientific knowledge they have learned.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Julhim S. Tangio AU - Lukman Abdul Rauf Laliyo PY - 2025 DA - 2025/07/28 TI - Assessing Student Skills in Socio-Scientific Issue Decision-Making using RASCH Modeling BT - Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023) PB - Atlantis Press SP - 525 EP - 536 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-410-5_54 DO - 10.2991/978-2-38476-410-5_54 ID - Tangio2025 ER -