Designing a Biology-Computational Thinking Framework Using Project-Based Learning Approach: The Fuzzy Delphi Method Study.
The integration of Biology with Computational Thinking (CT) skills holds significant potential to enhance educational practices. This study addresses the lack of frameworks that effectively combine these domains at the matriculation level by developing a comprehensive Biology-Computational Thinking...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 33; no. 3; pp. 1197 - 1217 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Universiti Putra Malaysia
Jun2025
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=186323846&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 186323846 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: Jun2025 vid: 33 iid: 3 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 186323846 10.47836/pjssh.33.3.12 ppf: 1197 ppct: 20 formats: fmt: @attributes: type: P size: 3.4MB tig: atl: Designing a Biology-Computational Thinking Framework Using Project-Based Learning Approach: The Fuzzy Delphi Method Study. aug: au: Jaafar, Juraini Ishak, Nor Asniza affil: School of Educational Studies, Universiti Sains Malaysia, 11800 Gelugor, Pulau Pinang, Malaysia su: Project method in teaching Delphi method Biology education Computer science Students sug: subj: Project method in teaching Delphi method Biology education Computer science Students keyword: computational thinking Fuzzy Delphi method project-based learning ab: The integration of Biology with Computational Thinking (CT) skills holds significant potential to enhance educational practices. This study addresses the lack of frameworks that effectively combine these domains at the matriculation level by developing a comprehensive Biology-Computational Thinking framework grounded in Project-Based Learning (PjBL). The Fuzzy Delphi Method (FDM) was employed to systematically collect and analyse expert opinions to reach a consensus. Eleven Computer Science or Biology Education experts actively engaged in CT were selected through purposive sampling. Findings showed strong acceptance of the framework's elements within the PjBL context, supported by a threshold value 'd' not exceeding 0.2, expert consensus above 75%, and fuzzy scores over 0.5. The expert panel agreed on the arrangement of elements for the Biology-Computational Thinking framework (BioCT-PjBL framework). This consensus affirms the framework's effectiveness, comprehensiveness, and potential to enhance educators' instructional practices. The study contributes to bridging the gap in CT education within biological sciences by providing a structured and validated model for integrating CT skills into biology curricula. This is especially relevant as most existing frameworks focus on computer science and overlook interdisciplinary applications. The framework addresses current educational needs and supports future curriculum development by offering a clear, expert-validated guide. However, the study highlights the need for further validation in real educational settings. Future research should include longitudinal studies to assess long-term impact, pilot testing in diverse contexts to examine adaptability, and developing supplementary materials and educator training to support effective implementation and improve students' understanding of computational thinking. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
|---|