ACU Mobile Learning Research: 2008-2009 Survey Results C. Brad Crisp, Ph.D. October 19, 2009.

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Presentation transcript:

ACU Mobile Learning Research: Survey Results C. Brad Crisp, Ph.D. October 19, 2009

Goals & Metrics Goals: 1.Longitudinal program assessment – Metrics 2.Research on IT adoption and usage – Motivation and impact of device selection? – Utilitarian vs. hedonic? Self-reported indicators: Attitude Impact Usage Dimensions: Overall Academic Social Entertainment

Devices and Surveys

Device Selection Student Comments: “What was the most important factor that helped you decide…?” iPhone Recipients: Desire for new phone (35%) Carry only 1 device (16%) Already have an iPod (8%) Touch Recipients: iPod is more affordable (33%) Already have a service provider (32%) Already have a phone (17%) Stepwise Logistic Regression: Dependent Var. (iPhone=1, Touch=0) Independent Variables (Beta) iPhone is more useful (.79) AT&T contract is too expensive (-.59) AT&T was prior service provider (1.15) iPhone gives more enjoyment (.68) Parents prefer I have iPhone (.49) Difficult to switch to iPhone due to prior contract (-.40) All betas significant at p<.001; Model correctly predicts 91% of observations

Initial Attitude

Attitude over Time

Attitude over Time by Device

Impact over Time by Device

Academic Impact

Social Impact

Usage over Time by Device

Social Usage

Academic Usage

Academic Usage During Class

Other Academic Usage 82% said they used MYmobile on m.acu.edu at least once per week in Fall (75% in Spring) 49% in Spring said they had at least one assignment that required device usage outside of class time (60% said they had regular opportunities to use device for at least 1 class) 20% in Spring responded positively that they participated in work or research that required device usage

Year 1 Summary Observations Attitude toward mobile learning devices as well as their perceived impact are very positive Attitude, impact and usage vary by device with iPhone users responding more favorably Academic usage and impact are lower than social and entertainment

Year 2 Continue with same goals Simplify survey design Examine device differences

Potential Questions for Discussion Why is academic usage and impact so low? Will this change as more students/faculty adopt? Why is social usage and impact so high, particularly for iPhone users? Will the effect “wear off” like any fad or novelty? How do “academic” and “social” relate to mobile learning? What should we do if students experience mobile learning differently because of the device they are using?