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Hawai‘i PEEC Project ‘IKE Indigenous Knowledge in Engineering ‘ike is the Hawaiian word for ‘knowledge’ Hervé Collin Louise Pagotto, Peter Crouch, and Joshua Kaakua
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Hawai‘i PEEC Project Outline of the Presentation Overview of the ‘IKE project Description of the Hawai‘i Math Emporium Model (HMEM) Outcomes Future Developments
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Geographical Location
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Overview Goal 1: A Quality Pre-Engineering Core Curriculum: that prepares Native Hawaiian students for success in progressively higher level courses in their Engineering education, effectively integrating Calculus, and that is available online in every semester during the project and beyond. Goal 2: A Community of Practice in Engineering: connecting Native Hawaiian students, mentors, and undergraduate researchers with nurturing advising, through funded cohort experiences, quality curriculum, faculty/researchers, and community partners, through funded positions for students, increased engagement with engineering issues and industries, and online communication strategies.
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Overview Objective 2.1: Three Summer Engineering Experiences (SEE) anchor the cohort experience for Native Hawaiian students as they progress to successful UHMCOE transfer, degree completion, and engineering careers. -> Math Emporium Experience <- SEE2 SEE1 SEE3 SEEs where the Hawaii Math Emporium Model (HMEM) is implemented.
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Overview
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Hawai‘i Math Emporium Model (HMEM) Logistics: SEE1: Every morning from 9-12pm ->15 hours/week (total: 90 hours) SEE2: Monday (whole day) Tuesday-Thursday mornings from 9-12pm ->14 hours/week (total: 84 hours) MyMathLab and book support http://www.mymathlab.com/http://www.mymathlab.com/ (Pearson)
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Hawai‘i Math Emporium Model (HMEM) TutorialsAssessmentHomeworkQuizzesTests For each Chapter
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Hawai‘i Math Emporium Model (HMEM) Tutorials (Required) Mentors & Instructor Support Videos Interactive tutorial Power point Presentations Tutorial support
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Hawai‘i Math Emporium Model (HMEM) Question set 1 Question set 2 etc.. Question set 1 Question set 2 etc.. Question set 1 Question set 2 etc.. Question set 1 Question set 2 etc.. Topics A Topics B Topics D Topics C Assessment (Diagnostic Tool) No Tutorials or human support are available during this period
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Hawai‘i Math Emporium Model (HMEM) Homework Tutorials and/or human support are available during this period Topics A Homework Set 1Completed Homework Set 2To be completed Homework Set 3To be completed etc…To be completed Topics B Homework Set 1Completed Homework Set 2To be completed Homework Set 3To be completed etc…To be completed Topics C Homework Set 1Completed Homework Set 2To be completed Homework Set 3To be completed etc…To be completed
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Hawai‘i Math Emporium Model (HMEM) Homework Periods Homework Tutorials ( MyMathLab ) Peer Mentors Cohort Peers Book Examples Faculty
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Hawai‘i Math Emporium Model (HMEM) End of Chapter Cumulative Tests Tests TutorialsHomeworkQuizzes Human support (Mentors, Faculty)
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Hawai‘i Math Emporium Model (HMEM) Social Support & Building Confidence Peer Cohort, Peer Mentors and Instructor Online tutorials and book examples One-on-one meeting with the faculty Frequent breaks and Team Building activities Successful mastery of topics and good end-of- Chapter test performance
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Hawai‘i Math Emporium Model (HMEM) Self-Paced & Cohort concept Students Lagging Students Ready Students Ahead Tests Peer Mentor Support
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Research outcomes ‘IKE SEE2 students’ Outcomes from HMEM ‘IKE SEE1 students’ Outcomes from HMEM Before Summer Bridge 2011After Summer Bridge 2011 Below Math 13500 Math 13500 Math 140110 Calculus I211 Calculus II02 Calculus III00 Calculus IV00 Differential Eq.00 Total13 Before Summer Bridge 2011After Summer Bridge 2011 Below Math 13543 Math 13591 Math 14019 Calculus I11 Calculus II01 Calculus III00 Calculus IV00 Differential Eq.00 Total15
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Research outcomes ‘IKE SEE2 long term Outcomes
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Research outcomes ‘IKE SEE1 long term Outcomes
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Research outcomes HMEM students’ success rates comparison for the semester following Summer Bridge All Students (All Campuses) All Students CCs All Students Mānoa Native Hawaiian Students (All Campuses) Cohort (SEE1 & SEE2) Math 14060.0%61.7%58.1%56.9%0.0% Math 205/24168.4%64.0%72.4%56.3%57.1% Math 206/24264.5%67.0%63.0%46.3%71.4% Math 231/24371.3%77.8%69.7%68.1%60.0% Overall65.6%64.6%66.3%57.0%60.0%
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Research outcomes Questions and Comments?
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