Teacher readiness for online learning: Scale development and teacher perceptions

The purpose of this research is to examine elementary and middle school teachers' readiness as online learners on the basis of the Teacher Readiness for Online Learning Measure (TROLM). This paper draws on three years (spring 2012-spring 2014) of data from an online course on Internet literacy and ethics for practicing teachers. Two sets of samples (128 and 248 teachers) facilitated this study's exploration and confirmation of the TROLM model's constructs. Results of exploratory and confirmatory factory analysis support an 18-item scale comprising four factors: communication self-efficacy, institutional support, self-directed learning, and learning-transfer self-efficacy. This study found that male teachers exhibited statistically significantly greater readiness in the dimension of learning-transfer self-efficacy than did female teachers. Teachers with a master's degree assigned a heavier weight to the dimensions of communication self-efficacy and learning-transfer self-efficacy than did teachers with a bachelor's degree. This study made two additional findings: the fewer teaching years a teacher had, the higher the teacher's communication self-efficacy tended to be; and the more teaching years a teacher had, the higher the teacher's self-directed learning tended to be. Suggestions for further research are provided. This study explores four main factors.This study examines elementary and middle school teachers' readiness as online learners.Male teachers exhibited greater readiness in learning-transfer self-efficacy.The fewer teaching years a teacher had, the higher the teacher's communication self-efficacy tended to be.

[1]  G. Latham,et al.  Developing and Training Human Resources in Organizations , 1991 .

[2]  Sofie M. M. Loyens,et al.  Self-Directed Learning in Problem-Based Learning and its Relationships with Self-Regulated Learning , 2008 .

[3]  Elwood F. Holton,et al.  Development of a generalized learning transfer system inventory , 2000 .

[4]  Tammy Schellens,et al.  Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review , 2006, Comput. Educ..

[5]  Robert M. Bernard,et al.  The development of a questionnaire for predicting online learning achievement , 2004 .

[6]  J. B. Arbaugh,et al.  Sage, guide, both, or even more? An examination of instructor activity in online MBA courses , 2010, Comput. Educ..

[7]  Mark Warschauer,et al.  Participation, interaction, and academic achievement in an online discussion environment , 2015, Comput. Educ..

[8]  Marjan Hericko,et al.  A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types , 2011, Comput. Hum. Behav..

[9]  Zehra Akyol,et al.  Understanding cognitive presence in an online and blended community of inquiry: Assessing outcomes and processes for deep approaches to learning , 2011, Br. J. Educ. Technol..

[10]  I. E. Allen,et al.  Growing by Degrees: Online Education in the United States, 2005. , 2005 .

[11]  T. Teo Development and validation of the E-learning Acceptance Measure (ElAM) , 2010, Internet High. Educ..

[12]  Mercedes López-Sáez,et al.  Gender differences in computer attitudes and the choice of technology-related occupations in a sample of secondary students in Spain , 2010, Comput. Educ..

[13]  Darren George,et al.  SPSS for Windows Step by Step: A Simple Guide and Reference , 1998 .

[14]  Lucie Rohlíková,et al.  Factors influencing acceptance of e-learning by teachers in the Czech Republic , 2015, Comput. Hum. Behav..

[15]  Tammy Schellens,et al.  Learning in asynchronous discussion groups: a multilevel approach to study the influence of student, group and task characteristics , 2007, Behav. Inf. Technol..

[16]  Charles E. McDowell,et al.  Pair-programming helps female computer science students , 2004, JERC.

[17]  Avner Caspi,et al.  Participation in class and in online discussions: Gender differences , 2008, Comput. Educ..

[18]  Geoffrey M. Maruyama,et al.  Basics of structural equation modeling , 1997 .

[19]  Chien Chou,et al.  Students' perceptions of instructors' roles in blended and online learning environments: A comparative study , 2015, Comput. Educ..

[20]  Ulrich Schiefele,et al.  Interest, Learning, and Motivation , 1991 .

[21]  Timothy Teo,et al.  Unpacking teachers' acceptance of technology: Tests of measurement invariance and latent mean differences , 2014, Comput. Educ..

[22]  Ji-Hye Park,et al.  Factors Related to Learner Dropout in Online Learning , 2007 .

[23]  Betsy O. Barefoot Higher education's revolving door: confronting the problem of student drop out in US colleges and universities , 2004 .

[24]  B. Rienties,et al.  The effects of online professional development on higher education teachers' beliefs and intentions towards learning facilitation and technology , 2013 .

[25]  ChouChien,et al.  Students' perceptions of instructors' roles in blended and online learning environments , 2015 .

[26]  Rose M. Marra,et al.  A Comparative Analysis of Online Discussion Participation Protocols , 2005 .

[27]  Ying-Tien Wu,et al.  Elementary school teachers’ motivation toward web-based professional development, and the relationship with Internet self-efficacy and belief about web-based learning , 2011 .

[28]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[29]  Timothy Teo,et al.  The self-directed learning with technology scale (SDLTS) for young students: An initial development and validation , 2010, Comput. Educ..

[30]  Lorne Olfman,et al.  Leveraging a personalized system to improve self-directed learning in online educational environments , 2014, Comput. Educ..

[31]  Miguel Ángel Montero Alonso,et al.  Gender differences in e-learning satisfaction , 2012, Comput. Educ..

[32]  Tammy Schellens,et al.  Collaborative learning in asynchronous discussion groups: What about the impact on cognitive processing? , 2005, Comput. Hum. Behav..

[33]  Judith Schoonenboom,et al.  Using an adapted, task-level technology acceptance model to explain why instructors in higher education intend to use some learning management system tools more than others , 2014, Comput. Educ..

[34]  Sandra Turner,et al.  Active Learning and Preservice Teachers’ Experiences in an Online Course: A Case Study , 2005 .

[35]  Sunyoung Joung,et al.  Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities , 2011, Comput. Hum. Behav..

[36]  Wu-Yuin Hwang,et al.  A Markov-based Recommendation Model for Exploring the Transfer of Learning on the Web , 2009, J. Educ. Technol. Soc..

[37]  D. Shen,et al.  Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction , 2013, Internet High. Educ..

[38]  B. Kwiatkowska,et al.  Reference Guide , 2019, Rapid Review of ECG Interpretation in Small Animal Practice.

[39]  Malcolm S. Knowles,et al.  Self-directed learning : a guide for learners and teachers , 1975 .

[40]  M. McVay,et al.  How To Be A Successful Distance Learning Student Learning On The Internet , 2016 .

[41]  Jiyeon Lee Patterns of Interaction and Participation in a Large Online Course: Strategies for Fostering Sustainable Discussion , 2012, J. Educ. Technol. Soc..

[42]  Päivi Häkkinen,et al.  E‐learning at work: theoretical underpinnings and pedagogical challenges , 2005 .

[43]  Chin-Chung Tsai,et al.  Junior high school students' Internet usage and self-efficacy: A re-examination of the gender gap , 2010, Comput. Educ..

[44]  Abbas Keramati,et al.  The role of readiness factors in E-learning outcomes: An empirical study , 2011, Comput. Educ..

[45]  C. Dede,et al.  A Research Agenda for Online Teacher Professional Development , 2009 .

[46]  Mohamed Ally,et al.  FOUNDATIONS OF EDUCATIONAL THEORY FOR ONL INE LEARNING , 2004 .

[47]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[48]  Jungjoo Kim,et al.  Influence of group size on students' participation in online discussion forums , 2013, Comput. Educ..

[49]  Marta Cleveland-Innes,et al.  STUDENT ROLE ADJUSTMENT IN ONLINE COMMUNITIES OF INQUIRY: MODEL AND INSTRUMENT VALIDATION , 2019, Online Learning.

[50]  Namkee Park,et al.  Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model , 2014, Comput. Hum. Behav..

[51]  Joke Voogt,et al.  Examining factors affecting beginning teachers' transfer of learning of ICT-enhanced learning activities in their teaching practice , 2013 .

[52]  ParkNamkee,et al.  Understanding the acceptance of teleconferencing systems among employees , 2014 .

[53]  J. Hair Multivariate data analysis , 1972 .

[54]  Vivienne Collinson To Learn or Not to Learn: A Potential Organizational Learning Gap Among School Systems? , 2010 .

[55]  Michele L. Ybarra,et al.  Reasons, assessments and actions taken: sex and age differences in uses of Internet health information. , 2008, Health education research.

[56]  Toni Ivergård,et al.  Processes of Learning and eLearning , 2004 .

[57]  R. MacCallum,et al.  Power analysis and determination of sample size for covariance structure modeling. , 1996 .

[58]  T. Wentling,et al.  Factors associated with transfer of training in workplace e‐learning , 2007 .

[59]  Regina Juchun Chu,et al.  How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults - Analyses of gender and age differences , 2010, Comput. Educ..

[60]  Leping Liu,et al.  An Investigation on Experienced Teachers’ Knowledge and Perceptions of Instructional Theories and Practices , 2010 .

[61]  Ann L. Brown,et al.  How people learn: Brain, mind, experience, and school. , 1999 .

[62]  Antoine Van den Beemt,et al.  Teacher perspectives on ICT: A learning ecology approach , 2016, Comput. Educ..

[63]  Toby Marshall Egan,et al.  The effects of organizational learning culture and job satisfaction on motivation to transfer learning and turnover intention , 2004 .

[64]  Erman Yükseltürk,et al.  Gender Differences in Self-Regulated Online Learning Environment , 2009, J. Educ. Technol. Soc..

[65]  Robin H. Kay,et al.  Examining gender differences in attitudes toward interactive classroom communications systems (ICCS) , 2009, Comput. Educ..

[66]  Chien Chou,et al.  Learner readiness for online learning: Scale development and student perceptions , 2010, Comput. Educ..

[67]  B. Zimmerman,et al.  Self-Efficacy: An Essential Motive to Learn. , 2000, Contemporary educational psychology.

[68]  Alan R. Roper How Students Develop Online Learning Skills. , 2007 .

[69]  S. Merriam Andragogy and Self‐Directed Learning: Pillars of Adult Learning Theory , 2001 .

[70]  Ji-Hye Park,et al.  Factors Influencing Adult Learners' Decision to Drop Out or Persist in Online Learning , 2009, J. Educ. Technol. Soc..

[71]  A. Artino,et al.  Beyond Grades in Online Learning: Adaptive Profiles of Academic Self-Regulation Among Naval Academy Undergraduates , 2009 .

[72]  Anthony W. Hursh,et al.  Peer modeling and innovation adoption among teachers in online professional development , 2014, Comput. Educ..

[73]  Y. Yang Cultivating critical thinkers: Exploring transfer of learning from pre-service teacher training to classroom practice , 2012 .

[74]  John R. Tanner,et al.  Business Faculty and Undergraduate Students' Perceptions of Online Learning: A Comparitive Study , 2009, J. Inf. Syst. Educ..

[75]  Timothy Teo,et al.  An initial development and validation of a Digital Natives Assessment Scale (DNAS) , 2013, Comput. Educ..

[76]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[77]  Peter Shea,et al.  Learning presence: Towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments , 2010, Comput. Educ..

[78]  Celeste Biever It's a woman's world wide web , 2006 .

[79]  B. Darab,et al.  An eclectic model for assessing e-learning readiness in the Iranian universities , 2011, Comput. Educ..

[80]  Binshan Lin,et al.  Web-based teaching and learner control: a research review , 2001, Comput. Educ..

[81]  Kathleen Cercone Characteristics of Adult Learners With Implications for Online Learning Design , 2008 .

[82]  Janette R. Hill,et al.  Improving online learning: Student perceptions of useful and challenging characteristics , 2004, Internet High. Educ..