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Data Driven Decision Making Goes Cyber Elementary Online Teachers' Perceptions and Use of Data Driven Instruction
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Data Driven Decision Making Goes Cyber Elementary Online Teachers' Perceptions and Use of Data Driven Instruction. |
| 개인저자 | Stokke Larson, Melissa. |
| 단체저자명 | The Florida State University. Educational Leadership & Policy Studies. |
| 발행사항 | [S.l.]: The Florida State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 89 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01A(E). Dissertation Abstract International |
| ISBN | 9780438307704 |
| 학위논문주기 | Thesis (Ed.D.)--The Florida State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Adviser: Carolyn Herrington. |
| 요약 | Data Driven Decision Making (DDDM) is the process of using assessment data to determine instruction in class. Contemporary use of DDDM has grown from the No Child Left Behind's emphasis on using standardized testing results to measure school eff |
| 요약 | The purpose of this study was to understand how elementary online educators perceive the use of data to make instructional decisions and how they were doing so in their synchronous classes. Eight online elementary teachers from three different v |
| 요약 | All eight participants of the student said that they thought using assessment data to inform their instruction is a useful practice, however, they did identify some barriers to effectively doing so. While online teachers had many organizational |
| 요약 | In conclusion, the implications for practice gleaned from this study vary due to the structural differences of the virtual instruction programs. Still, one factor of importance is the ability to collect valid assessment data, since all other as |
| 일반주제명 | Elementary education. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
