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SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Date post: 25-Dec-2014
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SITE 2014 Presentation. Abstract: Blended learning in K-12 classrooms is growing at an enormous rate. While the Educational Success Prediction Instrument (ESPRI) has been used to predict the success of students in online courses, it has yet to be applied to blended courses. This study examined the use of the ESPRI to predict the success of students enrolled in a secondary advanced biology course where the first half of the course was offered in a traditional format and the second half was offered in a blended format. Differences in student performance between the two portions of the course were not statistically significant (p = .35). The ESPRI correctly predicted approximately 88% of the outcomes. Limitations of the study included a small sample size (N = 43) relative to the number of items in the instrument. Additional research should examine the effectiveness of the instrument on students from across the achievement spectrum and not what is considered the ideal online learner.
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Applying the ESPRI to K-12 Blended Learning Jason Siko Assistant Professor of Educational Technology Grand Valley State University
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Page 1: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Applying the ESPRI to K-12 Blended LearningJason SikoAssistant Professor of Educational TechnologyGrand Valley State University

Page 2: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

The problem

Attrition in online courses

Difficult to tell extent, because organizations often do not report the same information

Some leave out attrition w/in first few weeks

Some eliminate failures or “outliers”

Why do students not complete online courses?

Page 3: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

The perfect online learner

Barbour & Reeves, 2009MotivatedIndependentSupportive familyAccess to technology and workspace

…does this describe all online learners?

Page 4: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Possible factors influencing success

Kim, Park, Cozart (2013)Self-efficacy

Reason for taking course (acceleration, credit recovery)

Achievement beliefs

Vicious cycle when isolation, difficulty, and level of perseverance lead to frustration.

Page 5: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

What about blended?

Staker (2011): “…any time a student learns at least in part at a supervised brick- and-mortar location away from home and at least in part through online delivery with some element of student control over time, place, path, and/or pace” (p.11)

Fastest growing segment of online learning (Watson et al., 2011)

Research on K-12 blended learning is lagging behind its exponential growth in several areas (Barbour, Siko, Gross, & Waddell, 2013)

Page 6: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Educational Success Prediction Instrument (ESPRI)

Validated instrument shown to accurately predict success (~pass vs. fail) in an online course

Accurately predicted success in ~90% of cases (Roblyer & Marshall, 2003; Roblyer, Davis, Mills, Marshall, and Pape, 2008) in online courses

Asks questions in 4 areas Self-efficacy/Technology Use

Achievement Beliefs

Risk-taking beliefs (in classroom)

Organization beliefs

http://tinyurl.com/sikoespri

Page 7: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Research Questions

1. Is there any difference in student performance between the traditional and blended portions of the course?

2. How well does the ESPRI survey accurately predict the performance of students in a blended course?

Page 8: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Setting

AY2011-2012

Large, suburban, Midwestern high school (~1800 students in grades 10-12)

Culturally homogenous; however, diverse with respect to SES

Course: International Baccalaureate Biology – Higher Level (IB Bio-HL)

43 students, grade 11

1st half of course – Face-to-face

2nd half of course - blended

Page 9: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Methods

RQ1: Compare grades for F2F and blended semesters

Paired t-test

RQ2: Administer ESPRI at beginning of blended semester

Use end-of-semester grades, pass/fail (70% cutoff)

Multiple discriminant analysis

Wilks’ lambda and Press’s Q to test for validity of results

Page 10: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

RQ1

Not significantly different, t(42) = 0.95; p = .35.

Different content covered; may not be equal in difficulty

Page 11: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

RQ2

Overall, predicted 38/43 cases (~88%)

Concerns:Low sample size (20:1 ratio of cases:factors)

Wilks’ lambda was not statistically significantHowever, Press’s Q statistic was statistically significant

Page 12: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Further directions

Larger studies using ESPRI in blended learning situations

Develop methods of providing targeted support to students who score low in certain areas of ESPRI

Authors of previous studies involving ESPRI recommend NOT using instrument as a selection tool for online courses; rather, use it to provide supports

Need for systematic study of student performance where students have low scores on ESPRI and were provided support

Page 13: SITE 2014 - Applying the ESPRI to K-12 Blended Learning

Questions?

Thanks for coming!

Jason SikoAssistant Professor of Educational TechnologyGrand Valley State UniversityGrand Rapids, MI

[email protected] / [email protected]

http://jasonsiko.com

@jasonsiko


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