Does Technology Acceptance

Affect E-learning in a

Non-Technology Intensive Course? ACED 7990

Analysis of Research in Adult & Career Education

Dorea M. Hardy, M.Ed.

Study Summary1. The Problem & Purpose

2. Theoretical / Conceptual Frameworko Technology Acceptance Model

Study Summary3. Research HypothesesH1 An individual with a higher level of technology acceptance will

improve performance.

H1a Individual’s positive perception of facilitating conditions will improve performance.

H1b Individual’s positive level of behavioral intention will improve performance.

H2 Academic proficiency directly influences the effect of an individual’s degree of technology acceptance upon performance.

H2a Academic proficiency directly influences the effect of an individual’s perception of facilitating conditions upon performance.

H2b Academic proficiency directly influences the effect of an individual’s level of behavioral intention upon performance.

Study Summary4. Research Design & Data Gathering Methods

Study Summary5. Data Analysis Techniques

o Two-Tailed Regressiono Performance = AP + BI + FC + APBI + APFC

6. Findingso BI p < .0001 positive & significanto FC p < .89 not significanto APBI p < .001 negative& significanto APFC p < .50 not significant

7. Conclusions

Strengths1. Authors’ acknowledgement of limitations

and shortcomings

Shortcomings• Model unproven for specified use• Sample Population

o Gender Ratioo Race / Ethnicity *o Economic / Financial Background *o Average Age

• Added workload for Instructors• Single Institution• Unproctored Quizzes

Strengths2. Literature Contribution3. Carefully written to prevent loss of readers

o Explained logic behind model utilized

4. Two-Tailed Test with Regression

One-Tailed Test(positive)

Image Source: http://www.ats.ucla.edu/stat/mult_pkg/faq/general/tail_tests.htm

One-Tailed Test(negative)

Image Source: http://www.ats.ucla.edu/stat/mult_pkg/faq/general/tail_tests.htm

Two-Tailed Test(positive & negative)

Image Source: http://www.ats.ucla.edu/stat/mult_pkg/faq/general/tail_tests.htm

Strengths4. Two-Tailed Test with Regression

o Exploratory Natureo Significant versus Non-Significanto Reverse of Expectations

5. Recommendations

Recommendations• Authors’ Recommendations

o Additional Institutions (replication)o Longitudinal Studieso Technology acceptance & other online toolso Wider age categorieso Gender focused studieso Locus of Control & Learning Styles Studieso Research the underutilization of e-tools by instructors

Recommendations• Personal Recommendations

o Race & Ethnicity Study• Is there a gap that exists?

Recommendations• Personal Recommendations

o Race & Ethnicity Studyo Financial Backgrounds Study

• What impact does a low income background have on students compared with peers from a higher income background?o Lower Technology Acceptance?o Lower Learning Performance?

• Could results benefit lower income districts?

Recommendations• Personal Recommendations

o Race & Ethnicity Studyo Financial Backgrounds Studyo Regularity of Studies

• Technology Life Cycle

Questions, Comments& Discussion

PresentedApril 22, 2014