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Using Measurable Outcomes to Evaluate Tutor Programs Jan Norton, Presenter.

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Presentation on theme: "Using Measurable Outcomes to Evaluate Tutor Programs Jan Norton, Presenter."— Presentation transcript:

1 Using Measurable Outcomes to Evaluate Tutor Programs Jan Norton, Presenter

2 Introduction Jan Norton Email: snowfanjan@gmail.com Phone: (319) 499-1372 Master’s in Educational Research& Psychology 25+ years as director of multi-discipline tutoring centers with CRLA certifications Former reviewer for CRLA tutor training certification; current NADE certification reviewer for tutoring, SI, and developmental education programs NCLCA Lifetime Learning Center Leadership certification

3 Webinar Contents Terminology The Black Box Timetables Data/Measurement Data/Measurement Cautions Program Outcomes & Examples Student Outcomes & Examples Closing

4 Terminology Visions Missions Values Goals Objectives Outcomes Program vs. Student Outcomes Learning Outcomes

5 The Black Box Something Happens

6 The Black Box Something Happens What is going on in there? How do we measure it?

7 Timetables Scope of assessment ◦ ≥ 6 years ◦ 2 years ◦ 1 year ◦ 1 semester ◦ 1 course ◦ 1 assignment ◦ 1 tutoring session

8 Timetables Planning for Assessment ◦ Continual processes ◦ Multiple times per semester ◦ Once or twice per semester ◦ Two or three times per year ◦ Once per year ◦ Every two years ◦ Every 4 years

9 Data/Measurement Why Measure What to measure ◦ Before (Benchmarks) ◦ During ◦ After (Outcomes)

10 Data/Measurement How to measure ◦ Program-generated data ◦ Course-specific data ◦ Campus data ◦ Campus surveys ◦ Standardized tools ◦ Locally developed tools

11 Data/Measurement More about locally developed tools ◦ Surveys ◦ Likert-type scales ◦ Explicated scales ◦ Behavioral rubrics ◦ Self assessment by student ◦ Tutor assessment ◦ Observer assessment

12 Data/Measurement Cautions Direct vs. Indirect Measures Data access and consistency Realistic limitations Cooperation The Baseline Challenge Time & money (and staff and comfort and ……)

13 Chat Time for Questions & Contributions Finished the foundation: what we can and can’t measure, when & how to measure, and what data we will gain Moving on to examples of program-level outcomes

14 Program Outcomes Possible Areas of Assessment Focus ◦ Establishing baselines ◦ Usage ◦ Satisfaction or quality ◦ Level/variety of services ◦ Staff development ◦ Reaching certification or meeting standards

15 Program Outcomes Examples Outcome Statement ◦ As a result of the new marketing strategy, the number of students attending group tutoring sessions will increase by 10% in Spring 2013. Timetable ◦ One semester Starting Measure (Benchmark) ◦ Average of past attendance Ending Measure ◦ Workshop attendance records

16 Program Outcomes Examples Outcome Statement ◦ During 2012-13, the number of tutors who earn CRLA Level I certification will increase by 5%. Timetable ◦ One academic year Starting Measure (Benchmark) ◦ Number of tutors achieving Level I in previous year(s) Ending Measure ◦ Number of tutors achieving Level I in 2012-13

17 Program Outcomes Examples Outcome Statement ◦ Outside reviewers using the NADE self-study process will score the tutoring program at 85% or above on all sections. Timetable ◦ One year Starting Measure (Benchmark) ◦ Internal review & self-study Ending Measure ◦ External review

18 Program Outcomes Examples Outcome Statement ◦ As a result of tutor training sessions, tutors will demonstrate an improved understanding of Bloom’s Taxonomy. Timetable ◦ One semester or year, depending on training schedule Starting Measure (Benchmark) ◦ Pre-test Ending Measure ◦ Post-test

19 Chat Time for Questions & Contributions Finished program-level outcomes Moving on to examples of student outcomes

20 Student Outcomes: Measures Qualitative ◦ Interviews & focus groups ◦ Opinion surveys ◦ Observations or self reports Quantitative ◦ Assignment & course grades ◦ Instrument scores ◦ Observation rubrics

21 Student Outcomes: Types Affective ◦ Build confidence ◦ Improve attitude ◦ Reduce anxiety Cognitive ◦ Mastery of material ◦ Conscious strategies use

22 Student Outcomes Examples Outcome Statement ◦ After being tutored for at least one hour, clients will be more confident in their ability to accomplish the academic task they focused on in tutoring. Timetable ◦ One tutoring session Starting Measure (Benchmark) ◦ Client self-report Ending Measure ◦ Client self report

23 Student Outcomes Examples Outcome Statement ◦ Students who work with the study skills tutors will demonstrate an increased ability to use memorization strategies. Timetable ◦ One tutoring session Starting Measure (Benchmark) ◦ Tutor or observer checklist Ending Measure ◦ Tutor or observer checklist

24 Student Outcomes Examples Outcome Statement ◦ 75% of the students who work with a reading tutor for at least two sessions will score at least 75% on the main ideas reading test. Timetable ◦ Within three weeks Starting Measure (Benchmark) ◦ Reading quiz at start of tutoring Ending Measure ◦ Chapter reading test in class

25 Student Outcomes Examples Outcome Statement ◦ Students who attend at least 10 group tutoring sessions for Algebra Review 090 will earn an average grade of B or above in the course. Timetable ◦ One semester, length of course Starting Measure (Benchmark) ◦ Placement score into course Ending Measure ◦ Course grade

26 Student Outcomes Examples Outcome Statement ◦ After attending mandatory tutoring for all 5 of their developmental education courses, students will be retained until the start of their junior year at a rate at least 25% higher than developmental students for whom tutoring was not required. Timetable ◦ Two years Starting Measure (Benchmark) ◦ Developmental course placement Ending Measure ◦ Enrollment level

27 Student Outcomes Examples Outcome Statement ◦ Students attending SI for World Religions will “[apply] previously understood information, concepts, and experiences to a new situation or setting.” (CAS) Timetable ◦ Within one semester Starting Measure (Benchmark) ◦ Pre-survey Ending Measure ◦ Post-survey

28 Closing Check with your institutional research or assessment office Review early drafts of outcomes statements with your supervisor Pre-test any locally created measurement tool Be prepared for outcomes that are not met or wildly exceeded

29 Closing Remember the black box: we do not own or control the box, and our ability to see into it is very limited Questions & Contributions?

30 Thank You for Participating ! Jan Norton snowfanjan@gmail.com (319) 499-1372


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