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Future Teaching in Hawaii

Maya Iida University of Hawaii at Manoa Department of Educational Technology. Future Teaching in Hawaii. 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

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Future Teaching in Hawaii

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  1. Maya Iida University of Hawaii at Manoa Department of Educational Technology Future Teaching in Hawaii

  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. Instructional Design Project • 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. Design- Navigation Navigation bar Navigation throughout module

  13. Design- Navigation cont.

  14. Design Features Video

  15. Design Features cont. Images Interactive 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 Learning

  20. Results Learning Mistakes

  21. Results Learning Mistakes Triumphs

  22. Results Learning Mistakes Triumphs Modifications

  23. Results Learning Mistakes Triumphs Modifications accomplishments

  24. Results • http://knowyourmeme.com/

  25. Results

  26. Results

  27. Results

  28. Results

  29. Results

  30. Results

  31. Results

  32. Results

  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 Thank you! Maya Iida Graduate Student Educational Technology University of Hawaii at Manoa mayaiida@hawaii.edu

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