Implementing Data-Driven Decision-Making in Teaching Practice Supervision: A Case Study at Jigawa State College of Education and Legal Studies, Ringim
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| Format: | Recurso digital |
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2025
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| _version_ | 1866901774363787264 |
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| author | Nasiru, Adamu |
| author_facet | Nasiru, Adamu |
| contents | <p><em>This study investigated the implementation of Data-Driven Decision-Making (DDDM) in teaching practice supervision at Jigawa State College of Education and Legal Studies, Ringim. The research examined how data is collected, analyzed, and applied to improve supervisory effectiveness and pre-service teacher performance. A mixed-methods design was employed, combining surveys, interviews, and document analysis involving 25 teaching practice supervisors and 60 pre-service teachers. Findings revealed that while supervisors recognize the value of data in instructional improvement, their data literacy and analytic skills remain limited. The introduction of DDDM improved feedback quality, transparency, and professional growth among student teachers. However, challenges such as inadequate training, inconsistent data collection tools, and limited institutional support constrained full adoption. The study concludes that systematic integration of DDDM can significantly enhance supervision quality, accountability, and teacher preparation outcomes. It recommends capacity-building workshops, institutional data frameworks, and digital data-collection platforms to strengthen evidence-based supervision practices in Nigerian teacher education institutions.</em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17506663 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Implementing Data-Driven Decision-Making in Teaching Practice Supervision: A Case Study at Jigawa State College of Education and Legal Studies, Ringim Nasiru, Adamu Data-Driven Decision-Making (DDDM), Teaching Practice Supervision, Teacher Education, Data Literacy, Educational Improvement, Nigeria <p><em>This study investigated the implementation of Data-Driven Decision-Making (DDDM) in teaching practice supervision at Jigawa State College of Education and Legal Studies, Ringim. The research examined how data is collected, analyzed, and applied to improve supervisory effectiveness and pre-service teacher performance. A mixed-methods design was employed, combining surveys, interviews, and document analysis involving 25 teaching practice supervisors and 60 pre-service teachers. Findings revealed that while supervisors recognize the value of data in instructional improvement, their data literacy and analytic skills remain limited. The introduction of DDDM improved feedback quality, transparency, and professional growth among student teachers. However, challenges such as inadequate training, inconsistent data collection tools, and limited institutional support constrained full adoption. The study concludes that systematic integration of DDDM can significantly enhance supervision quality, accountability, and teacher preparation outcomes. It recommends capacity-building workshops, institutional data frameworks, and digital data-collection platforms to strengthen evidence-based supervision practices in Nigerian teacher education institutions.</em></p> |
| title | Implementing Data-Driven Decision-Making in Teaching Practice Supervision: A Case Study at Jigawa State College of Education and Legal Studies, Ringim |
| topic | Data-Driven Decision-Making (DDDM), Teaching Practice Supervision, Teacher Education, Data Literacy, Educational Improvement, Nigeria |
| url | https://doi.org/10.5281/zenodo.17506663 |