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020 ▼a 9780438307704
035 ▼a (MiAaPQ)AAI10791256
035 ▼a (MiAaPQ)fsu:14592
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 372
1001 ▼a Stokke Larson, Melissa.
24510 ▼a Data Driven Decision Making Goes Cyber Elementary Online Teachers' Perceptions and Use of Data Driven Instruction.
260 ▼a [S.l.]: ▼b The Florida State University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 89 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
500 ▼a Adviser: Carolyn Herrington.
5021 ▼a Thesis (Ed.D.)--The Florida State University, 2018.
520 ▼a 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
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0071.
650 4 ▼a Elementary education.
690 ▼a 0524
71020 ▼a The Florida State University. ▼b Educational Leadership & Policy Studies.
7730 ▼t Dissertation Abstracts International ▼g 80-01A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0071
791 ▼a Ed.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997630 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033