Computer skills instruction for pre-service teachers: A comparison of three instructional approaches

The computer self-efficacy of teachers contributes positively to their technology integration self-efficacy. Many studies have examined instructional strategies that foster computer self-efficacy but not their corresponding impact on teachers' technology integration self-efficacy. This study investigated the instructional strategies used for pre-service teacher computer skills instruction and their corresponding impact on teacher computer self-efficacy and technology integration self-efficacy. Using a multiple case-study approach, video recordings were made of the class sessions of three participating instructors throughout a semester. Content analysis of these video recordings found the instructors using three approaches of computer skills instruction: Extensive behavioral modeling, targeted behavioral modeling, and independent problem-solving. Analysis of pre and post-study student survey responses also found that the three instructional approaches raised their perceived computer self-efficacy. However, the effect sizes were largest when the independent problem-solving approach was used. This approach was also found to have had better motivational effects on students than the extensive behavioral modeling approach. On the other hand, computer skills instruction increased students' technology integration self-efficacy only when instructors modeled teaching-related examples and provided students with multiple mastery experiences of technology integration practices. The applications of the three computer skills instructional approaches for teacher education are discussed.

[1]  T. G. Greene,et al.  Walking the Talk Is Tough: From a Single Technology Course to Infusion , 2001 .

[2]  K. Wetzel,et al.  The Introductory Technology Course: A Tool for Technology Integration , 2004 .

[3]  Natalie B. Milman,et al.  A Longitudinal Assessment of Teacher Education Students' Confidence toward Using Technology , 2008 .

[4]  Marianne G. Handler Preparing new teachers to use computer technology: perceptions and suggestions for teacher educators , 1993 .

[5]  Claudia Smarkola,et al.  Efficacy of a planned behavior model: Beliefs that contribute to computer usage intentions of student teachers and experienced teachers , 2008, Comput. Hum. Behav..

[6]  M. Kinzie,et al.  Computer technologies: Attitudes and self-efficacy across undergraduate disciplines , 1994 .

[7]  Annemarie S. Palincsar,et al.  Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning , 1991 .

[8]  R. Yin Case Study Research: Design and Methods , 1984 .

[9]  Larry N. Killough,et al.  Testing the Interaction Effects of Task Complexity in Computer Training Using the Social Cognitive Model , 2001, Decis. Sci..

[10]  Marilyn E. Gist,et al.  EFFECTS OF ALTERNATIVE TRAINING METHODS ON SELF-EFFICACY AND PERFORMANCE IN COMPUTER SOFTWARE TRAINING , 1989 .

[11]  Florence Martin,et al.  A Methodical Formative Evaluation of Computer Literacy Course: What and How to Teach , 2007, J. Inf. Technol. Educ..

[12]  J. Creswell Qualitative inquiry and research design: choosing among five traditions. , 1998 .

[13]  Theodore W. Frick,et al.  Instructor and Student Classroom Interactions during Technology Skills Instruction for Facilitating Preservice Teachers' Computer Self-Efficacy , 2009 .

[14]  Victor Der-Thanq Chen,et al.  Untangling the Confounding Perceptions regarding the Stand Alone it Course , 2006 .

[15]  John M. Carroll,et al.  Principles and Heuristics for Designing Minimalist Instruction , 1998 .

[16]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[17]  B. Wolman,et al.  Handbook of clinical psychology , 1965 .

[18]  Michel Ferrari,et al.  Computer-related attitudes and actions of teacher candidates , 2003, Comput. Hum. Behav..

[19]  Marianne C. Murphy,et al.  A Comparison of Student Perceptions of their Computer Skills to their Actual Abilities , 2009, J. Inf. Technol. Educ..

[20]  S. Puntambekar,et al.  Tools for Scaffolding Students in a Complex Learning Environment: What Have We Gained and What Have We Missed? , 2005 .

[21]  Krista Glazewski,et al.  Integrating technology in a field-based teacher training program: The PT3@ASU project , 2003 .

[22]  Mable B. Kinzie,et al.  Computer technology training for prospective teachers: computer attitudes and perceived self-efficacy , 2000 .

[23]  Peggy A. Ertmer,et al.  Enhancing self-efficacy for computer technologies through the use of positive classroom experiences , 1994 .

[24]  Peter Albion,et al.  Some Factors in the Development of Self-Efficacy Beliefs for Computer Use Among Teacher Education Students , 2001 .

[25]  Dale S. Niederhauser,et al.  Exploring teaching, learning, and instructional reform in an introductory technology course , 1999 .

[26]  Swight Hare,et al.  Technology Integration: Closing the Gap Between What Preservice Teachers are Taught To Do and What They Can Do , 2002 .

[27]  C. Walsh,et al.  From Teaching Technology to Using Technology to Enhance Student Learning: Preservice Teachers’ Changing Perceptions of Technology Infusion , 2001 .

[28]  K. Wetzel,et al.  Lessons from exemplary colleges of education: Factors affecting technology integration in preservice programs , 1999 .

[29]  Laurie Lewis,et al.  Educational Technology in Teacher Education Programs for Initial Licensure. Statistical Analysis Report. NCES 2008-040. , 2007 .

[30]  Matthew J. Koehler,et al.  Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge , 2006, Teachers College Record: The Voice of Scholarship in Education.

[31]  J. Bruner,et al.  The role of tutoring in problem solving. , 1976, Journal of child psychology and psychiatry, and allied disciplines.

[32]  David G. Moursund,et al.  Will new teachers be prepared to teach in a digital age , 1999 .

[33]  Sharla L. Snider Exploring Technology Integration in a Field-Based Teacher Education Program , 2002 .

[34]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[35]  Asli Yagmur Akbulut,et al.  Improving IS Student Enrollments: Understanding the Effects of IT Sophistication in Introductory IS Courses , 2009, J. Inf. Technol. Educ..

[36]  Dale S. Niederhauser,et al.  Beyond self-efficacy: Measuring pre-service teachers' Instructional Technology Outcome Expectations , 2010, Comput. Hum. Behav..

[37]  Samer Khasawneh,et al.  Self-efficacy and college students' perceptions and use of online learning systems , 2007, Comput. Hum. Behav..

[38]  Richard D. Johnson,et al.  Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model , 2000, Inf. Syst. Res..

[39]  James W. Pellegrino,et al.  Information Technology and Teacher Preparation: Some Critical Issues and Illustrative Solutions. , 1997 .

[40]  Kimberly W. Bartholomew,et al.  Improving Computer Literacy of Business Management Majors: A Case Study , 2006, J. Inf. Technol. Educ..

[41]  M. Ropp Exploring Individual Characteristics Associated with Learning to Use Computers in Preservice Teacher Preparation , 1999 .

[42]  C. Stone The Metaphor of Scaffolding , 1998, Journal of learning disabilities.

[43]  Laura Hall,et al.  Computer self-efficacy, training effectiveness and user attitudes: An empirical study , 1999, Behav. Inf. Technol..

[44]  David McIlroy,et al.  Computer phobia and computer self-efficacy: their association with undergraduates' use of university computer facilities , 2007, Comput. Hum. Behav..

[45]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..