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Training Preservice Teachers to Make Data-Based Decisions: A Comparison of Two Interventions
Remedial and Special Education ( IF 2.3 ) Pub Date : 2024-01-28 , DOI: 10.1177/07419325231222482
Meka N. McCammon 1 , Katie Wolfe 2 , Ruiqin Gao 2 , Angela Starrett 2
Affiliation  

Data-based decision-making, which involves evaluating students’ progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study was to investigate the effects of a decision-making model, with and without supplemental online instruction, on preservice teachers’ accuracy in identifying data patterns and making data-based decisions. Results showed that participants in both the decision-making model only and online training plus decision-making model groups had greater accuracy compared with participants who received no training. However, there were no significant differences between the two treatment groups, suggesting that the decision-making model may stand alone as an effective intervention to train preservice teachers to identify a data-based decision. Implications for research and practice are discussed.

中文翻译:

培训职前教师做出基于数据的决策:两种干预措施的比较

基于数据的决策涉及评估学生的进步和做出教学决策,是职前教师的一项不可或缺的能力。多项研究发现,决策模型等视觉教具可能是培训职前教师做出教学决策的有效方法。本研究的目的是调查决策模型(有或没有补充在线指导)对职前教师识别数据模式和做出基于数据的决策的准确性的影响。结果表明,与未接受培训的参与者相比,仅决策模型组和在线培训加决策模型组的参与者的准确性更高。然而,两个治疗组之间没有显着差异,这表明决策模型可以单独作为一种有效的干预措施来培训职前教师识别基于数据的决策。讨论了对研究和实践的影响。
更新日期:2024-01-28
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