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FUTURE TEACHING IN HAWAII Maya Iida University of Hawaii at Manoa Department of Educational Technology.

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Presentation on theme: "FUTURE TEACHING IN HAWAII Maya Iida University of Hawaii at Manoa Department of Educational Technology."— Presentation transcript:

1 FUTURE TEACHING IN HAWAII Maya Iida University of Hawaii at Manoa Department of Educational Technology

2 About Me  Born in Kahului, Maui  Grew up wanting to become a teacher  Graduated with my Elementary Education Degree from the University of Hawaii at Manoa  Work as a substitute teacher  Special interest in ETEC (Educational Technology)

3 Instructional Design Project

4  Web-based instructional module

5 Instructional Design Project  Web-based instructional module  For elementary school teachers in Hawaii’s Department of Education

6 Instructional Design Project  Web-based instructional module  For elementary school teachers in Hawaii’s Department of Education  Focuses on highlighting the upcoming technology implementations in Hawaii’s schools.

7 Rationale  Technology Advances Daily breakthroughs  Personal Experience Student teaching Substitute teaching Informal conversation  Nationwide Education Reform Race to the Top (RTTT)

8 Participants  10 Elementary school teachers  Hawaii  Various levels of experience with technology Uncomfortable with technology--- ETEC Masters Degree  Length of teaching: 1-34 years Average length of teaching: 16.2 years

9 Areas of Reform  Online Testing  Online Learning  Data Collection

10 Areas of Reform  Online Testing Teacher viewpoints on what has been implemented Hawaii state documents  Online Learning Trends across the country Hawaii state documents  Data Collection J. Katahira- Subject Matter Expert involved in the creation of Hawaii’s Longitudinal Data System. Hawaii state documents

11 Design- Navigation

12 Navigation bar Navigation throughout module

13 Design- Navigation cont.

14 Design Features Video

15 Design Features cont. ImagesInteractive Survey

16 Evaluation Instruments Pre/Post- Module Surveys

17 Evaluation Criteria  Cognitive domain knowledge of: Hawaii’s Longitudinal Data System SMARTER Assessment System Online learning trends  Design Elements Ease of navigation Clarity of information

18 Evaluation Criteria cont.  Attitudinal domain feelings regarding: Overall awareness of technology that will be implemented in Hawaii’s schools in the next few years Overall preparedness to teach in Hawaii’s schools in the next few years Willingness to recommend the module to others Degree of helpfulness of the module

19 Results

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24  http://knowyourmeme.com/

25 Results

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33 For Future Research  Process of obtaining consent from the DOE Multiple levels of approval Additional requirements  Partial survey submissions 14 completed pre-module survey 10 completed post module survey

34 Conclusion Maya Iida Graduate Student Educational Technology University of Hawaii at Manoa mayaiida@hawaii.edu


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