Mathematics Immersion Model (MIM) Kapiolani Community College STEM - - PowerPoint PPT Presentation

mathematics immersion model
SMART_READER_LITE
LIVE PREVIEW

Mathematics Immersion Model (MIM) Kapiolani Community College STEM - - PowerPoint PPT Presentation

Mathematics Immersion Model (MIM) Kapiolani Community College STEM Program Acknowledgements This research program was supported by a supplemental grant from the Tribal Colleges and Universities Program (TCUP) / National Science Foundation


slide-1
SLIDE 1

Mathematics Immersion Model (MIM)

Kapi‘olani Community College STEM Program

slide-2
SLIDE 2

Acknowledgements

This research program was supported by a supplemental grant from the Tribal Colleges and Universities Program (TCUP) / National Science Foundation (NSF). An IRB was obtained to conduct this research (IRB CHS# 23668) and assess its efficacy using student feedback.

slide-3
SLIDE 3

Background / Introduction

The Mathematics Barrier in STEM: The Challenge of Calculus Readiness

  • Prospective STEM students frequently encounter mathematics as a

barrier to degree completion

  • Students often must complete pre-college level math in addition to

calculus prerequisites

  • Such courses are “notoriously ineffective” at facilitating progress

toward and success in calculus

(The National Academies of Sciences, Engineering, and Medicine, 2016)

  • The mathematics barrier most severely impacts Underrepresented

Minority (URM) students

  • Introductory, “gatekeeper” mathematics courses have been

identified as a barrier to underrepresented students in STEM

  • For URM students, the mathematics barrier is exacerbated by STEM

culture

(The National Academies of Sciences, Engineering, and Medicine, 2016; Toven-Lindsey, Levis-Fitzgerald, Barber, & Hasson, 2015; Yull, Denise, 2013)

slide-4
SLIDE 4

Purpose

The MIM program aimed at implementing the following goals:

 Provide students the opportunity to reach calculus level in

  • ne semester through an immersive, accelerated program

 Address students’ needs through a mentoring support system (Peer-Led-Unit-Session, or PLUS) Provide students with the opportunity to be engaged in Undergraduate Research Experience (URE)

slide-5
SLIDE 5

Method: Program Structure

Key program features

  • Daily immersion in mathematics

(1.5 hours/day)

  • Three accelerated math courses
  • Math 103: College Algebra

(5 weeks)

  • Math 135: Elementary

Functions (5.5 weeks)

  • Math 140: Trigonometry

(5.5 weeks)

  • Built-in peer mentor support

via daily Peer-Led-Unit Session (PLUS)

  • STEM Undergraduate Research

Experience (URE) course

College Algebra Elementary Functions Trigonometry

STEM Research Experience Peer Mentor Support: PLUS

slide-6
SLIDE 6

Method: Student Recruitment

Pre-College Mathematics MIM Program

Prospective MIM students must:

  • Be Native Hawaiian

and/or other underrepresented minorities*

  • Have earned a “B” or

above in previous math course or referred by faculty

  • Attend mandatory

meeting to discuss program and make sure it is a good match

Cohort Recruitment Pool

*The recruitment plan was structured to give preference first to Native Hawaiian, and then other underrepresented students, but we also welcomed all students who might have benefited from or were interested in joining MIM.

slide-7
SLIDE 7

Method: Peer Mentors

Peer Mentor Recruitment

Experienced peer mentors Former MIM students MIM Mentor Responsibilities Provide support to MIM cohort during PLUS Participate in pre-semester and weekly training meetings Develop and run course content- related math activities

Lead Mentor (LM) Responsibilities Serve as liaison between instructor and mentors Meet with instructor, share weekly updates with mentors Lead PLUS activities Monitor PLUS and report to MIM staff and faculty

slide-8
SLIDE 8

Method: Peer Mentor Training

Pre-Semester

  • Orientation
  • Introduction to mentors
  • Introduction to program
  • Skills Training
  • Basic mentoring skills
  • Approaching students and

being approachable

  • Hands-on practice

Semester

  • Weekly meetings
  • Discussion of PLUS sessions
  • Updates on course and students
  • Instructor-led math training
  • On-campus resource training
  • Academic advising services
  • Title IX for student leaders
  • Weekly feedback from students
slide-9
SLIDE 9

Results: Student Engagement

SP16

  • 7 Mentors

FL16

  • 2 original + 3 MIM1

SP17

  • 2 original + 2 MIM1 + 2 MIM2
slide-10
SLIDE 10

College Algebra Elementary Functions Trigonometry & Analytical Geometry

Results: Overall Success Rates in Accelerated Versus Non-Accelerated Throughout Program

59% N=186 55% N=110 74% N=42 46% N=108 85% N=41 50% N=36 16-week courses MIM courses

slide-11
SLIDE 11

College Algebra Elementary Functions Trigonometry & Analytical Geometry

Results: Success Rates in Individual Courses

62% 68% 74% N=42 59% 85% N=41 50% N=36 Success rates at KCC for all 103/135/140 instructors (from Spring 2014 to Fall 2015) Success rates of MIM program

slide-12
SLIDE 12

College Algebra 62% Elementary Functions 68% Compounded 42% Trigonometry & Analytical Geometry 59% Compounded 25%

MIM: 43% Results: Compound Success Rates

Success rates of all Math 103, 135, & 140 courses offered in the last four semesters prior to MIM implementation (from Spring 2014 to Fall 2015) at KCC

slide-13
SLIDE 13

Results: Progression

slide-14
SLIDE 14

Results: the Math 103 Effect in 135 & 140

TP B or higher Passed MIM TN C or lower Failed MIM FP C or lower Passed MIM FN B or higher Failed MIM

Sensitivity: Probability of passing MIM if B or higher was obtained in 103 Specificity: Probability of failing MIM if lower than B was obtained in 103 Cohen Kappa: 0 = agreement equivalent to chance. 0.1 – 0.20 = slight agreement. 0.21 – 0.40 = fair agreement. 0.41 – 0.60 = moderate agreement. 0.61 – 0.80 = substantial agreement. 0.81 – 0.99 = near perfect agreement 1 = perfect agreement.

𝑇𝑓𝑜 = 𝑈𝑄 𝑈𝑄 + 𝐺𝑂 ∗ 100 = 67% 𝑇𝑞𝑓 = 𝑈𝑂 𝑈𝑂 + 𝐺𝑄 ∗ 100 = 83%

𝑙 = 𝑈𝑄 + 𝑈𝑂 𝑂 − 𝑈𝑄 + 𝐺𝑂 𝑂 𝑈𝑄 + 𝐺𝑄 𝑂 + 𝐺𝑄 + 𝑈𝑂 𝑂 𝐺𝑂 + 𝑈𝑂 𝑂 1 − 𝑈𝑄 + 𝐺𝑂 𝑂 𝑈𝑄 + 𝐺𝑄 𝑂 + 𝐺𝑄 + 𝑈𝑂 𝑂 𝐺𝑂 + 𝑈𝑂 𝑂

k = 0.49

These indices suggest that MIM participants have a: 1) 67% probability of succeeding if they obtain a B grade or higher in 103 2) 83% probability of failing if they obtained a C in 103.

slide-15
SLIDE 15

Results: the Math 103 Effect in calculus

TP A or higher Passed all calculus courses TN B or lower Failed one calculus course FP B or lower Passed all calculus courses FN A or higher Failed one calculus course

Sensitivity: Probability of passing calculus if B or higher was obtained in 103 Specificity: Probability of failing calculus if lower than B was obtained in 103 Cohen Kappa: 0 = agreement equivalent to chance. 0.1 – 0.20 = slight agreement. 0.21 – 0.40 = fair agreement. 0.41 – 0.60 = moderate agreement. 0.61 – 0.80 = substantial agreement. 0.81 – 0.99 = near perfect agreement 1 = perfect agreement.

𝑇𝑓𝑜 = 𝑈𝑄 𝑈𝑄 + 𝐺𝑂 ∗ 100 = 78% 𝑇𝑞𝑓 = 𝑈𝑂 𝑈𝑂 + 𝐺𝑄 ∗ 100 = 43%

𝑙 = 𝑈𝑄 + 𝑈𝑂 𝑂 − 𝑈𝑄 + 𝐺𝑂 𝑂 𝑈𝑄 + 𝐺𝑄 𝑂 + 𝐺𝑄 + 𝑈𝑂 𝑂 𝐺𝑂 + 𝑈𝑂 𝑂 1 − 𝑈𝑄 + 𝐺𝑂 𝑂 𝑈𝑄 + 𝐺𝑄 𝑂 + 𝐺𝑄 + 𝑈𝑂 𝑂 𝐺𝑂 + 𝑈𝑂 𝑂

k = 0.21

These indices suggest that MIM participants have a: 1) 78% probability of passing all calculus courses if they obtain an A grade or higher in 103 2) 43% probability of passing one calculus course if they obtained below an A grade in 103.

slide-16
SLIDE 16

Results: PLUS Sessions

The result of a t-test (95% confidence) suggests a significant relationship between attending PLUS and succeeding in the MIM program (p=0.023 < 0.05).

slide-17
SLIDE 17

Keep in mind….

Sample size for the entire program was 39 students, i.e not statistically strong.

One final statistic worth mentioning: MIM participants made it clear in the post-MIM evaluation that the most significant aspect of the program that contributed to their success in the program was the PLUS sessions & the student mentors, particularly Cohort 2 & 3.