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Educators’ Perceptions of Twitter for
Educational Technology Professional
Development: A Uses and Gratifications
Expectancy Model
Douglas C. Strahler
Dissertation Defense
Doctoral Program in Instructional Technology and Leadership
Duquesne University
Pittsburgh, Pennsylvania
October 23, 2014
“In an era of school reform,
many consider the education
and professional development of
teachers as the keystone to
educational improvement.”
-Chris Dede, taken from Online
Professional Development for
Teachers
 Perception of failing school systems
 Lack of quality teachers
 Need to meet student achievement goals
 No Child Left Behind Act
A variety of professional development programs have been
created to address major changes in education.
INTRODUCTION
Reasons for School Reform
Statement of the Problem
 Substantial growth in the number of PD programs, but
some lack quality or are not continuous
 Traditional formats and online
 Resistance to change
 Fullan (1991), Sparks & Hirsh (1997), Guskey (2000) and
other researchers identify a variety of reasons from
personal habits to a lack of motivation and benefits
 Growing need for “just-in-time” assistance and
continuous support (Dede, 2006)
INTRODUCTION
Twitter & Online Professional Development
 Social Networking service that is a fusion of IM (Instant
messaging) and an SMS-based (short messaging service)
communications platform
 140-character limit
 Hashtags (#) = categories
 @ replies = usernames
 OPD programs has allowed the experience to be more
customizable, real-time, and provides an outlet for ongoing
support (Whitehouse et. al, 2006)
 Anderson (1976) asserts “there is continuing need for aids to
making decisions about media–what to use, when, and why”
(p. 3) – based on the characteristics on a specific media.
INTRODUCTION
The role of communication in the
learning process is critical –
which may influence students’
learning experience.
Uses and Gratifications Theory (UGT)
 An audience based theoretical framework, grounded on
the assumption that individuals select media and content
to fulfill felt needs or wants.
 Students/Adult Learners select a medium to satisfy their
learning needs
 These needs are expressed as motives for adopting
particular medium use, and are connected to the social
and psychological makeup of the individual
(Papacharissi, 1996).
REVIEW OF LITERATURE
UGT Assumptions
 Active Audience
 Media effects are limited to attitude and behavior
 Media compete with other sources
 Media users are able to identify their own needs and
possess the ability to report their needs/motives
REVIEW OF LITERATURE
UGT Criticisms & Extensions
 One of the primary criticisms of UGT is the lack of a
common theoretical base leading to many researchers
referring to at as an “approach.”
 Extensions
 Expectancy-value theory (EVT) applies that “the
gratifications you seek from media are determined by your
attitudes toward the media–your beliefs about what a
particular medium can give you – and your evaluations of
this material” (Littlejohn & Foss, 2011, p. 351).
 Dependency theory examines “the relationship among
social systems, media systems, and audiences, and how
each of these interacts and affects one another”
(Rosenberry & Vicker, 2009, p. 127).
REVIEW OF LITERATURE
Uses and Gratifications Expectancy Model
 Mondi, Woods, & Rafi (2008)
 Study investigated communication behaviors on ‘how and
why’ students’ ‘Uses and Gratification Expectancy’ (UGE)
for e-learning resources influenced their ‘Perceived e-
Learning Experience’
 Secondary-school level in Malaysia
 Developed the “Uses and Gratifications Expectancy
Questionnaire” (UGEQ)
REVIEW OF LITERATURE
Katz, Gurevitch, and Haas’ (1973)
Five Communicative Attributes
 Dropping the entertainment needs for my study
REVIEW OF LITERATURE
 The purpose of this study was to examine how
educators’ uses and gratifications expectancy of Twitter
for professional development influenced their perceived
e-learning experience
 Focus in educational technology professional development
REVIEW OF LITERATURE
Research Purpose
Research Design
 Two-part survey
 Part One: Demographics & Twitter Usage
 Part Two: Uses and Gratifications Expectancy
Questionnaire (UGEQ)
 Web-based survey using Survey Monkey
 Survey will be administered to educators’ who use or
follow #edtechchat on Twitter
 Survey link will be posted to Twitter once per day for four
weeks
METHODOLOGY
Example Tweets
METHODOLOGY
Research Question & Null Hypothesis #1
RQ1: Are educators’ cognitive uses and gratification
expectancy of Twitter for professional development
positively related to their perceived e-learning
experience?
H1: Educators cognitive uses and gratification
expectancy of Twitter for professional development
is not positively related to their perceived e-learning
experience.
METHODOLOGY
Cognitive UGE
CUGE1. I use Twitter to help me
know many things
CUGE2. I use Twitter to search
for new information
CUGE3. I carry out Twitter
searches to answer questions
CUGE4. I post questions to
Twitter for answers
CUGE5. I use Twitter to explore
topics of interest, beyond my
normal content area
Perceived e-Learning
PLEUGE1. Using Twitter allows me
to learn at my own pace
PLEUGE2. Using Twitter gives me
control over what I want to learn
and when I want to learn it
PLEUGE3. When I discover new
things on Twitter, I think about it
critically
PLEUGE4. I discover things on
Twitter on my own
PLEUGE5. I am able to access
information that I need from Twitter
METHODOLOGY
Research Question 1 Measurement-Items
Research Question & Null Hypothesis #2
RQ2: Are educators’ affective uses and gratification
expectancy of Twitter for professional development
positively related to their perceived e-learning
experience?
H2: Educators affective uses and gratification
expectancy of Twitter for professional development
is not positively related to their perceived e-learning
experience.
METHODOLOGY
Affective UGE
AUGE1. I like to talk to others
about Twitter
AUGE2. I like showing others how
to use Twitter in different ways
AUGE3. I enjoy working with
Twitter
Perceived e-Learning
PLEUGE1. Using Twitter allows me
to learn at my own pace
PLEUGE2. Using Twitter gives me
control over what I want to learn
and when I want to learn it
PLEUGE3. When I discover new
things on Twitter, I think about it
critically
PLEUGE4. I discover things on
Twitter on my own
PLEUGE5. I am able to access
information that I need from Twitter
METHODOLOGY
Research Question 2 Measurement-Items
Research Question & Null Hypothesis #3
RQ3: Are educators’ personal integrative uses and
gratification expectancy of Twitter for professional
development positively related to their perceived
e-learning experience?
H3: Educators personal integrative uses and
gratification expectancy of Twitter for professional
development is not positively related to their
perceived e-learning experience.
METHODOLOGY
Personal Integrative UGE
PUGE1. Using Twitter is easy for
me
PUGE2. Using Twitter allows me
to be virtually anywhere at any
time
PUGE3. I can search and
navigate through Twitter content
easily
Perceived e-Learning
PLEUGE1. Using Twitter allows me
to learn at my own pace
PLEUGE2. Using Twitter gives me
control over what I want to learn
and when I want to learn it
PLEUGE3. When I discover new
things on Twitter, I think about it
critically
PLEUGE4. I discover things on
Twitter on my own
PLEUGE5. I am able to access
information that I need from Twitter
METHODOLOGY
Research Question 3 Measurement-Items
Research Question & Null Hypothesis #4
RQ4: Are educators’ social integrative uses and
gratification expectancy of Twitter for professional
development positively related to their perceived
e-learning experience?
H4: Educators social integrative uses and gratification
expectancy of Twitter for professional development
is not positively related to their perceived e-learning
experience.
METHODOLOGY
Social Integrative UGE
SUGE1. Using Twitter gives me
feedback I need from others
SUGE2. I use Twitter to interact with
other educators
SUGE3. Using Twitter prepares me
to join the extended learning
community in the world
SUGE4. Using Twitter improves my
ability to communicate with other
people
SUGE5. Using Twitter keeps me
from feeling lonely
Perceived e-Learning
PLEUGE1. Using Twitter allows me
to learn at my own pace
PLEUGE2. Using Twitter gives me
control over what I want to learn
and when I want to learn it
PLEUGE3. When I discover new
things on Twitter, I think about it
critically
PLEUGE4. I discover things on
Twitter on my own
PLEUGE5. I am able to access
information that I need from Twitter
METHODOLOGY
Research Question 4 Measurement-Items
Data Analysis
 SPSS Version 22
 Descriptive Statistics for Demographic & Twitter
Usage data
 Pearson Correlation Analysis
 Stepwise Multiple Regression
RESULTS
Respondent Demographics
 Gender: 23.1% Male; 76.9% Female
FINDINGS
Respondent Demographics
FINDINGS
Respondent Demographics
FINDINGS
Respondent Twitter Usage
FINDINGS
Instrumentation & Reliability Analysis
 Internal consistency reliability was assessed using Cronbach’s
Alpha scores at a level of .05 – exceed .70 min (Hair, et al., 1998)
 Appropriate sample size (N=39)
 Summated Scales created for each construct
FINDINGS
Constructs Items Alpha
CUGE CUGE1, CUGE2, CUGE3, CUGE4, CUGE5 .862
AUGE AUGE1, AUGE2, AUGE3 .856
PUGE PUGE1, PUGE2, PUGE3 .791
SUGE SUGE1, SUGE2, SUGE3, SUGE4, SUGE5 .773
PLEUGE PLEUGE1, PLEUGE2, PLEUGE, PLEUGE4, PLEUGE5 .901
Pearson Correlation Analysis
FINDINGS
Stepwise Multiple Regression
 Takes the independent variable that significantly
contributes to the variance and adds it to the first model,
then the next variable is tested until the best set of
predictor variables is determined (Hair, et al., 1998)
 Assumptions tested and met
 Outliers [Mahalanobis Distance & Cook’s Distance]
 Multicollinearity [Tolerance & VIF]
 Independence of the Residuals [Durbin-Watson]
 Normality [Histogram]
 Linearity [P-P plot] & Homoscedasticity [Scatterplot]
FINDINGS
Stepwise Regression Analysis Results
FINDINGS
 Cognitive UGE significantly predicted perceived
e-learning experience
 Affective UGE, Personal UGE, & Social UGE did not
significantly predict perceived e-learning experience
Interpretation of Regression Model
FINDINGS
 Participants’ in the #edtechchat primary need is
cognitive - related to strengthening information,
knowledge, and understanding (Katz, Gurevitch, & Haas,
1973)
 OPD through Twitter is satisfying the need for knowledge
 Similar to previous UGT studies
 Johnson and Yang (2009) – information motives significant,
but not social motives
 Liu, Cheung, and Lee (2010) – content & technology
gratifications were factors; not social gratifications
 Veletsianos (2011) – scholars primary activity on Twitter was
sharing information, media, and resources
CONCLUSION
Key Study Findings
 Professional Development
 Provides results for perceived learning experience through
Twitter
 Provides insight into designing/developing OPD through
Twitter
 Contribution to the field of adult learning by beginning to
understand learners’ perceptions
 UGT
 Continue to extend the research in the field of UGT
 For UGEM, provided an opportunity to further expand this
model
 Twitter
 Provides results on how Twitter is being used for OPD
CONCLUSION
Contributions to the Field
 With OPD, need to further understand uses and
gratifications of electronic media for learning
 Anderson (1976) asserts “there is continuing need for
aids to making decisions about media–what to use,
when, and why” (p. 3) – based on the characteristics on
a specific media.
 The findings:
 provide insights into why educators continue to use Twitter
as a professional development tool, despite the negative
perceptions that typically surround PD; and
 begin to provide insights into how and why Twitter provides
an environment conducive to learning.
CONCLUSION
Significance of Study
 Distribution of survey online
 Low response rate/small sample size
 Summer time
 Users only clicked/viewed link primarily on Sunday-
Tuesday
 Focused on one content area (educational technology)
 Respondents self-reported their perceptions
CONCLUSION
Study Limitations
 A study could be conducted to develop a deeper
understanding of which measurement-items within each uses
and gratifications expectancy (UGE) construct relate to
educators’ perceived e-learning experience through Partial
Least Squares or SEM analysis
 Could provide valuable insights into which items play a role in the
perceived e-learning experience
 A study could be conducted to investigate demographic
differences and how they contribute to the perceived e-
learning experience through Twitter
 Increase the sample size to provide a stronger representation
of the larger population
CONCLUSION
Future Research
 A study could be conducted to examine different content areas
of Twitter chats
 A study could be conducted by adopting a qualitative research
design to examine the “complexity of the social interactions”
(Marshall & Rossman, 2011) and the culture of Twitter as a
professional development tool
 Content Analysis of Twitter chat archives could be conducted, which
would provide “more directly how individual-level cognitive processes
and effects relate to message characteristics” (Riffe, Lacy, & Fico,
2014)
 A study could be conducted to evaluate Guskey’s (2000) second
critical level of PD evaluation – Participants’ learning
 Did participants’ acquired the intended knowledge or skill?
 Assist in improving Twitter chat content, format, and organization
CONCLUSION
Future Research
Conclusion
 This exploratory study found that while all four uses and
gratification expectancy constructs were found to be
statistically significant, a deeper analysis using a
stepwise regression uncovered that cognitive uses and
gratification expectancy to be the only significant
predictor towards their perceived e-learning experience.
 OPD through Twitter is satisfying the need for strengthening
information, knowledge, and understanding
Thank You
Special Thanks to my Committee:
Dr. David Carbonara, Chair
Dr. Rose Mary Mautino
Dr. Valerie Swarts
References
 Anderson, R. H. (1976). Selecting and developing media for instruction. New York, NY: Van Nostrand Reinhold Company.
 Dede, C. (Ed.). (2006). Online professional development for teachers: Emerging models and methods. Cambridge, MA:
Harvard Education Press.
 Fullan, M. (1991). The new meaning of educational change. New York, NY: Teachers College Press.
 Guskey, T. R. (2000). Evaluating professional development. Thousand Oaks, CA: Corwin Press, Inc.
 Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ:
Prentice Hall.
 Johnson, P. R., & Yang, S. U. (2009). Uses and gratifications of twitter: An examination of user motives and satisfaction of
twitter use. Paper presented at the Communication Technology Division of the annual convention of the Association for
Education in Journalism and Mass Communication, Boston, MA.
 Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. Blumler & E. Katz
(Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19-32). Beverly Hills, CA: Sage
Publications, Inc.
 Littlejohn, S. W., & Foss, K. A. (2011). Theories of human communication (10th ed.). Long Grove, IL: Waveland Press, Inc.
References
 Liu, I. L. B., Cheung, C. M. K., & Lee, M. K. O. (2010). Understanding Twitter Usage: What Drive People Continue to
Tweet). PACIS Proceedings (p./pp. 92). http://aisel.aisnet.org/pacis2010/92
 Marshall, C., & Rossman, G. B. (2011). Designing qualitative research (5th ed.). Thousand Oaks, CA: Sage Publications, Inc.
 Mondi, M., Woods, P., & Rafi, A. (2008). A ‘uses and gratifications expectancy model’ to predict students’ ‘perceived e-
learning experience.’ Educational Technology & Society, 11(2), 241-261.
 Papacharissi, Z. (1996). Uses and gratifications. In D. Stacks & M.Salwen (eds.), An integrated approach to communication
theory and research (pp.137-152). New York, NY: Routledge.
 Riffe, D., Lacy, S., & Fico, F. (2014). Analyzing media messages: Using quantitative content analysis in research (3rd ed.). New
York, NY: Routledge.
 Rosenberry, J., & Vicker, L. A. (2009). Applied mass communication theory: A guide for media practitioners. Boston, MA:
Pearson Education, Inc.
 Veletsianos, G. (2012). Higher education scholars’ participation and practices on twitter. Journal of Computer Assisted
Learning, 28(4), 336-349. doi: 10.1111/j.1365-2729.2011.00449.x
 Whitehouse, P. L., Breit, L. A., McCloskey, E. M., Ketelhut, D. J., & Dede, C. (2006). An overview of current findings from
empirical research on online teacher professional development. In C. Dede (Ed.), Online professional development for
teachers (pp. 13-29). New York, NY: Routledge.

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Educators' Perceptions of Twitter for Educational Technology Professional Development: A Uses and Gratifications Expectancy Model

  • 1. Educators’ Perceptions of Twitter for Educational Technology Professional Development: A Uses and Gratifications Expectancy Model Douglas C. Strahler Dissertation Defense Doctoral Program in Instructional Technology and Leadership Duquesne University Pittsburgh, Pennsylvania October 23, 2014
  • 2. “In an era of school reform, many consider the education and professional development of teachers as the keystone to educational improvement.” -Chris Dede, taken from Online Professional Development for Teachers
  • 3.  Perception of failing school systems  Lack of quality teachers  Need to meet student achievement goals  No Child Left Behind Act A variety of professional development programs have been created to address major changes in education. INTRODUCTION Reasons for School Reform
  • 4. Statement of the Problem  Substantial growth in the number of PD programs, but some lack quality or are not continuous  Traditional formats and online  Resistance to change  Fullan (1991), Sparks & Hirsh (1997), Guskey (2000) and other researchers identify a variety of reasons from personal habits to a lack of motivation and benefits  Growing need for “just-in-time” assistance and continuous support (Dede, 2006) INTRODUCTION
  • 5. Twitter & Online Professional Development  Social Networking service that is a fusion of IM (Instant messaging) and an SMS-based (short messaging service) communications platform  140-character limit  Hashtags (#) = categories  @ replies = usernames  OPD programs has allowed the experience to be more customizable, real-time, and provides an outlet for ongoing support (Whitehouse et. al, 2006)  Anderson (1976) asserts “there is continuing need for aids to making decisions about media–what to use, when, and why” (p. 3) – based on the characteristics on a specific media. INTRODUCTION
  • 6. The role of communication in the learning process is critical – which may influence students’ learning experience.
  • 7. Uses and Gratifications Theory (UGT)  An audience based theoretical framework, grounded on the assumption that individuals select media and content to fulfill felt needs or wants.  Students/Adult Learners select a medium to satisfy their learning needs  These needs are expressed as motives for adopting particular medium use, and are connected to the social and psychological makeup of the individual (Papacharissi, 1996). REVIEW OF LITERATURE
  • 8. UGT Assumptions  Active Audience  Media effects are limited to attitude and behavior  Media compete with other sources  Media users are able to identify their own needs and possess the ability to report their needs/motives REVIEW OF LITERATURE
  • 9. UGT Criticisms & Extensions  One of the primary criticisms of UGT is the lack of a common theoretical base leading to many researchers referring to at as an “approach.”  Extensions  Expectancy-value theory (EVT) applies that “the gratifications you seek from media are determined by your attitudes toward the media–your beliefs about what a particular medium can give you – and your evaluations of this material” (Littlejohn & Foss, 2011, p. 351).  Dependency theory examines “the relationship among social systems, media systems, and audiences, and how each of these interacts and affects one another” (Rosenberry & Vicker, 2009, p. 127). REVIEW OF LITERATURE
  • 10. Uses and Gratifications Expectancy Model  Mondi, Woods, & Rafi (2008)  Study investigated communication behaviors on ‘how and why’ students’ ‘Uses and Gratification Expectancy’ (UGE) for e-learning resources influenced their ‘Perceived e- Learning Experience’  Secondary-school level in Malaysia  Developed the “Uses and Gratifications Expectancy Questionnaire” (UGEQ) REVIEW OF LITERATURE
  • 11. Katz, Gurevitch, and Haas’ (1973) Five Communicative Attributes  Dropping the entertainment needs for my study REVIEW OF LITERATURE
  • 12.  The purpose of this study was to examine how educators’ uses and gratifications expectancy of Twitter for professional development influenced their perceived e-learning experience  Focus in educational technology professional development REVIEW OF LITERATURE Research Purpose
  • 13. Research Design  Two-part survey  Part One: Demographics & Twitter Usage  Part Two: Uses and Gratifications Expectancy Questionnaire (UGEQ)  Web-based survey using Survey Monkey  Survey will be administered to educators’ who use or follow #edtechchat on Twitter  Survey link will be posted to Twitter once per day for four weeks METHODOLOGY
  • 15. Research Question & Null Hypothesis #1 RQ1: Are educators’ cognitive uses and gratification expectancy of Twitter for professional development positively related to their perceived e-learning experience? H1: Educators cognitive uses and gratification expectancy of Twitter for professional development is not positively related to their perceived e-learning experience. METHODOLOGY
  • 16. Cognitive UGE CUGE1. I use Twitter to help me know many things CUGE2. I use Twitter to search for new information CUGE3. I carry out Twitter searches to answer questions CUGE4. I post questions to Twitter for answers CUGE5. I use Twitter to explore topics of interest, beyond my normal content area Perceived e-Learning PLEUGE1. Using Twitter allows me to learn at my own pace PLEUGE2. Using Twitter gives me control over what I want to learn and when I want to learn it PLEUGE3. When I discover new things on Twitter, I think about it critically PLEUGE4. I discover things on Twitter on my own PLEUGE5. I am able to access information that I need from Twitter METHODOLOGY Research Question 1 Measurement-Items
  • 17. Research Question & Null Hypothesis #2 RQ2: Are educators’ affective uses and gratification expectancy of Twitter for professional development positively related to their perceived e-learning experience? H2: Educators affective uses and gratification expectancy of Twitter for professional development is not positively related to their perceived e-learning experience. METHODOLOGY
  • 18. Affective UGE AUGE1. I like to talk to others about Twitter AUGE2. I like showing others how to use Twitter in different ways AUGE3. I enjoy working with Twitter Perceived e-Learning PLEUGE1. Using Twitter allows me to learn at my own pace PLEUGE2. Using Twitter gives me control over what I want to learn and when I want to learn it PLEUGE3. When I discover new things on Twitter, I think about it critically PLEUGE4. I discover things on Twitter on my own PLEUGE5. I am able to access information that I need from Twitter METHODOLOGY Research Question 2 Measurement-Items
  • 19. Research Question & Null Hypothesis #3 RQ3: Are educators’ personal integrative uses and gratification expectancy of Twitter for professional development positively related to their perceived e-learning experience? H3: Educators personal integrative uses and gratification expectancy of Twitter for professional development is not positively related to their perceived e-learning experience. METHODOLOGY
  • 20. Personal Integrative UGE PUGE1. Using Twitter is easy for me PUGE2. Using Twitter allows me to be virtually anywhere at any time PUGE3. I can search and navigate through Twitter content easily Perceived e-Learning PLEUGE1. Using Twitter allows me to learn at my own pace PLEUGE2. Using Twitter gives me control over what I want to learn and when I want to learn it PLEUGE3. When I discover new things on Twitter, I think about it critically PLEUGE4. I discover things on Twitter on my own PLEUGE5. I am able to access information that I need from Twitter METHODOLOGY Research Question 3 Measurement-Items
  • 21. Research Question & Null Hypothesis #4 RQ4: Are educators’ social integrative uses and gratification expectancy of Twitter for professional development positively related to their perceived e-learning experience? H4: Educators social integrative uses and gratification expectancy of Twitter for professional development is not positively related to their perceived e-learning experience. METHODOLOGY
  • 22. Social Integrative UGE SUGE1. Using Twitter gives me feedback I need from others SUGE2. I use Twitter to interact with other educators SUGE3. Using Twitter prepares me to join the extended learning community in the world SUGE4. Using Twitter improves my ability to communicate with other people SUGE5. Using Twitter keeps me from feeling lonely Perceived e-Learning PLEUGE1. Using Twitter allows me to learn at my own pace PLEUGE2. Using Twitter gives me control over what I want to learn and when I want to learn it PLEUGE3. When I discover new things on Twitter, I think about it critically PLEUGE4. I discover things on Twitter on my own PLEUGE5. I am able to access information that I need from Twitter METHODOLOGY Research Question 4 Measurement-Items
  • 23. Data Analysis  SPSS Version 22  Descriptive Statistics for Demographic & Twitter Usage data  Pearson Correlation Analysis  Stepwise Multiple Regression RESULTS
  • 24. Respondent Demographics  Gender: 23.1% Male; 76.9% Female FINDINGS
  • 28. Instrumentation & Reliability Analysis  Internal consistency reliability was assessed using Cronbach’s Alpha scores at a level of .05 – exceed .70 min (Hair, et al., 1998)  Appropriate sample size (N=39)  Summated Scales created for each construct FINDINGS Constructs Items Alpha CUGE CUGE1, CUGE2, CUGE3, CUGE4, CUGE5 .862 AUGE AUGE1, AUGE2, AUGE3 .856 PUGE PUGE1, PUGE2, PUGE3 .791 SUGE SUGE1, SUGE2, SUGE3, SUGE4, SUGE5 .773 PLEUGE PLEUGE1, PLEUGE2, PLEUGE, PLEUGE4, PLEUGE5 .901
  • 30. Stepwise Multiple Regression  Takes the independent variable that significantly contributes to the variance and adds it to the first model, then the next variable is tested until the best set of predictor variables is determined (Hair, et al., 1998)  Assumptions tested and met  Outliers [Mahalanobis Distance & Cook’s Distance]  Multicollinearity [Tolerance & VIF]  Independence of the Residuals [Durbin-Watson]  Normality [Histogram]  Linearity [P-P plot] & Homoscedasticity [Scatterplot] FINDINGS
  • 31. Stepwise Regression Analysis Results FINDINGS
  • 32.  Cognitive UGE significantly predicted perceived e-learning experience  Affective UGE, Personal UGE, & Social UGE did not significantly predict perceived e-learning experience Interpretation of Regression Model FINDINGS
  • 33.  Participants’ in the #edtechchat primary need is cognitive - related to strengthening information, knowledge, and understanding (Katz, Gurevitch, & Haas, 1973)  OPD through Twitter is satisfying the need for knowledge  Similar to previous UGT studies  Johnson and Yang (2009) – information motives significant, but not social motives  Liu, Cheung, and Lee (2010) – content & technology gratifications were factors; not social gratifications  Veletsianos (2011) – scholars primary activity on Twitter was sharing information, media, and resources CONCLUSION Key Study Findings
  • 34.  Professional Development  Provides results for perceived learning experience through Twitter  Provides insight into designing/developing OPD through Twitter  Contribution to the field of adult learning by beginning to understand learners’ perceptions  UGT  Continue to extend the research in the field of UGT  For UGEM, provided an opportunity to further expand this model  Twitter  Provides results on how Twitter is being used for OPD CONCLUSION Contributions to the Field
  • 35.  With OPD, need to further understand uses and gratifications of electronic media for learning  Anderson (1976) asserts “there is continuing need for aids to making decisions about media–what to use, when, and why” (p. 3) – based on the characteristics on a specific media.  The findings:  provide insights into why educators continue to use Twitter as a professional development tool, despite the negative perceptions that typically surround PD; and  begin to provide insights into how and why Twitter provides an environment conducive to learning. CONCLUSION Significance of Study
  • 36.  Distribution of survey online  Low response rate/small sample size  Summer time  Users only clicked/viewed link primarily on Sunday- Tuesday  Focused on one content area (educational technology)  Respondents self-reported their perceptions CONCLUSION Study Limitations
  • 37.  A study could be conducted to develop a deeper understanding of which measurement-items within each uses and gratifications expectancy (UGE) construct relate to educators’ perceived e-learning experience through Partial Least Squares or SEM analysis  Could provide valuable insights into which items play a role in the perceived e-learning experience  A study could be conducted to investigate demographic differences and how they contribute to the perceived e- learning experience through Twitter  Increase the sample size to provide a stronger representation of the larger population CONCLUSION Future Research
  • 38.  A study could be conducted to examine different content areas of Twitter chats  A study could be conducted by adopting a qualitative research design to examine the “complexity of the social interactions” (Marshall & Rossman, 2011) and the culture of Twitter as a professional development tool  Content Analysis of Twitter chat archives could be conducted, which would provide “more directly how individual-level cognitive processes and effects relate to message characteristics” (Riffe, Lacy, & Fico, 2014)  A study could be conducted to evaluate Guskey’s (2000) second critical level of PD evaluation – Participants’ learning  Did participants’ acquired the intended knowledge or skill?  Assist in improving Twitter chat content, format, and organization CONCLUSION Future Research
  • 39. Conclusion  This exploratory study found that while all four uses and gratification expectancy constructs were found to be statistically significant, a deeper analysis using a stepwise regression uncovered that cognitive uses and gratification expectancy to be the only significant predictor towards their perceived e-learning experience.  OPD through Twitter is satisfying the need for strengthening information, knowledge, and understanding
  • 40. Thank You Special Thanks to my Committee: Dr. David Carbonara, Chair Dr. Rose Mary Mautino Dr. Valerie Swarts
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