using examsoft data to prepare for and ease the accreditation process

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Page 1: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

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Page 2: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Use of ExamSoft Data to Prepare For and Ease the

Accreditation ProcessKimberly K. Daugherty, PharmD, BCPS

Ashley Castleberry, PharmD, MAEdLeah Simpson, EdD, MPA

Page 3: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Polling Question: Who is in the audience?• Please select the category that best fits you:

1. Assistant/Associate Dean2. Director of Assessment3. Chair of Curriculum and/or Assessment Committee4. Faculty member5. Staff Member

Page 4: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Session Learning Outcomes• Discuss how the autonomy supportive feedback system can be used

by students and faculty to enhance student learning and metacognitive development

• Demonstrate how longitudinal assessment data run from ExamSoft can be used to provide students with assessment report cards showing their progress across a curriculum

• Model how ExamSoft longitudinal data can be aggregated for use in accreditation reports

Page 5: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Autonomy and ExamSoft• Self-Determination Theory (SDT) states that all humans have three

basic psychological needs: autonomy, competence, and relatedness (Deci & Ryan, 1985, 1994, 2000)

• Autonomy in learning has been linked to greater student satisfaction, persistence, and deeper learning (Seiver & Troja, 2014; Wielenga-Meijer, Taris, Wigboldus & Kompier, 2012)

Page 6: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Autonomy-Support• By meeting students’ intrinsic desires, autonomy-support has been

shown to increase student satisfaction, persistence, creativity, and curiosity (Patrick & Williams, 2009; Seiver & Troja, 2014)

• Perception of autonomy-support leads to greater school achievement (Mih & Mih, 2013)

• Feedback can be autonomy-supportive when it Feeds Up, Feeds Back, and Feeds Forward (Hattie & Timperley, 2007)

Page 7: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

University of KentuckyStudent End of Exam Report Cards

Page 8: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Feed Up, Feed Back, and Feed Forward with ExamSoft Reports

Page 9: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Students LOVE these reports!

Page 10: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Does your institution use end of exam reports?

1. Yes2. No

Page 11: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

University of Arkansas for Medical Sciences

Longitudinal Reports-Students-Course

-Curriculum

Page 12: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Reports > Longitudinal Analysis

Page 13: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Student and Course Reports

Page 14: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Student and Course Reports

64.17%

Page 15: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Student and Course Reports

Page 16: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

How Longitudinal Reports Fit Autonomy Support Model• Feed Up

• Provide students with data needed to formulate goals in specified areas

• Feed Back• Provides students with data on achievement of their goals

• Feed Forward• Students meet with faculty to discuss data and make plans for improvement

Page 17: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

How Longitudinal Reports Fit Autonomy Support Model• Programmatic Assessment

• Data from courses provide aggregate data on course effectiveness• Data from the curriculum provide aggregate data on curriculum effectiveness

Page 18: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Curriculum ReportsBloom’s Taxonomy

Page 19: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Curriculum ReportsDidactic Topics

Page 20: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Does your institution use longitudinal reporting at the course level?

1. Yes2. No

Page 21: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Sullivan UniversityComprehensive Student Report Cards

Page 22: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

SUCOP Comprehensive Student Report Card• Background on Sullivan University College of Pharmacy

• 3-year year around program• Quarter system

• Comprehensive Student Report Cards• Reason for implementation: to provide students and their advisors

information on overall GPA, progression on pharmacy knowledge and skills, and progression on program outcome attainment

• Data on report cards is aggregated from multiple sources• E-value-experiential software• ExamSoft-didactic testing software• Campus Vue-Student Information System• CHARM: OSCE data

Page 23: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Student Report Card • Required didactic elements: data is rolled

up from exam question results tagged in ExamSoft

• Program outcome elements: data rolled up from exam question results tagged in ExamSoft

• Report cards are compiled after the Fall and Spring quarters are completed for the first and second professional year classes

Page 24: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Required Didactic Elements

Assessment BS PS SABS CS

ExamSoft Student Average ** 63.92 77.73 77.55 76.41

Number of Questions 888 1748 674 1291

Class Average Class SD 75.29 12.07 86.27 11.43 85.69 17.34 84.98 13.86

PCOA Aug 2015 Student Averag 248 277 263 246

SUCOP Avg-National Avg 328-350 324-334 327-339 318-326

Page 25: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Program Outcomes

Community IPPE*** 3 3.00 3.00 3 NA 3.00 3.00

Hospital IPPE*** 3 3 3 NA 3 3 NA

ExamSoft Student Average** 75.87 78.52 71.4 82.67 76.37 81.63 67.65

# of Questions 3063 933 222 70 125 686 34 Class Average 85.46 83.66 85.55 84.39 82.92 89.06 84.88 Class SD 6.41 9.06 9.41 12.69 8.61 11.6 14.96

Assessment Areas 1.1 2.1 2.2 2.3 2.4 3.1 3.2

Page 26: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

How Report Cards Fit Autonomy Support Model• Feed Up

• Provide students with data needed to be able to formulate goals in each of the specified areas

• Feed Back• Provides students with data on achievement of their goals

• Feed Forward• Students meet with their advisors to discuss the data and make plans for

improvement

• Programmatic assessment• Data from the individual report cards is “rolled-up” to provide aggregate data on

element attainment

Page 27: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

How data can be combined with other data to tell accreditation story PY1 Didactic PY1 and PY2 Didactic

EO # Questions Mean SD # Questions Mean SD 1.1 1820 84.5% 0.1 4896 85.9% 0.1 2.1 300 78.5% 0.1 809 86.7% 0.1 2.2 270 86.5% 0.1 270 86.6% 0.1 2.3 46 77.9% 0.2 98 85.8% 0.1 2.4 14 78.2% 0.1 212 85.7% 0.1 3.1 293 90.2% 0.1 871 84.3% 0.1 3.2 34 93.0% 0.1 62 92.7% 0.1 3.3 90 85.1% 0.2 97 81.4% 0.1 3.4 8 93.7% 0.1 9 89.6% 0.1 3.5 3 77.0% 0.2 7 90.2% 0.1 3.6 149 87.0% 0.1 176 90.4% 0.1 4.1 25 87.2% 0.1 25 92.7% 0.1 4.2 5 76.1% 0.2 6 87.9% 0.1 4.3 NA NA NA NA NA NA 4.4 79 85.9% 0.1 577 87.8% 0.1

JCPP-PPCP % of Exam Mean SD % of Exam Mean SD

C NA NA NA 2.6% 36.0% 0.2 H NA NA NA 55.7% 80.1% 0.1 A NA NA NA 17% 93.8% 0.1 R NA NA NA 19% 80.3% 0.2 M NA NA NA 5% 61.5% 0.2

Blocks 1 and 2* Blocks 3 and 4** EO Mean SD Mean SD 1.1 3.20 0.58 3.63 1.6 2.1 3.07 0.73 4.04 1.19 2.2 2.91 1.32 3.84 1.54 2.3 NA NA 3.21 2.04 2.4 2.64 1.5 3.41 1.82 3.1 3.35 0.51 4.18 0.86 3.2 2.98 0.8 3.64 1.6 3.3 NA NA 2.84 2.11 3.4 3.72 0.47 4.45 0.73 3.5 NA NA 3.69 1.62 3.6 2.97 0.73 3.98 1.29 4.1 3.61 0.61 4.37 0.73 4.2 3.29 0.58 4.01 1.32 4.3 NA NA 3.12 1.93 4.4 3.40 0.52 4.53 0.66

JCPP-PCPP Mean SD Mean SD

C NA NA 4.12 1.21 H NA NA 4.11 1.17 A NA NA 4.02 1.14 R NA NA 4.02 1.17 M NA NA 3.92 1.25

Blocks 1 and 2: 4-point Likert scale (0=NA-4=Exceed); Blocks 3 and 4: 5-point Likert scale (0=NA-1=Beyond entry level)

Page 28: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

Does your institution use longitudinal reporting at the program level?

1. Yes2. No

Page 29: Using ExamSoft Data to Prepare For and Ease the Accreditation Process

QUESTIONS