Self‐efficacy, learning method appropriation and software skills acquisition in learner‐controlled CSSTS environments

A computer‐simulated software training system (CSSTS) delivers a specific form of computer‐based training in which participants are allowed to select various training features within a simulated software environment. Given the growing use of these systems as end‐user training (EUT) aids, there is a need for greater understanding of how participants use these systems, as well as whether participant‐controlled learning environments are truly effective. The present research examines how a particular learner characteristic, software self‐efficacy, drives appropriation in a high learner control, CSSTS environment. Contrary to notions in the literature, results from spreadsheet and database software training courses reveal that pre‐training specific software self‐efficacy constitutes a significant, negative predictor of faithful appropriations of the CSSTS. This research also establishes a positive relationship between faithful appropriation and increases in software self‐efficacy (SSE). In essence, faithful appropriations lead to greater increases in SSE, which influences software skills performance. In addition, the research validates prior EUT research by extending prior findings to a database training environment. A psychometrically sound measure is put forth to capture database self‐efficacy.

[1]  Richard Baskerville,et al.  Generalizing Generalizability in Information Systems Research , 2003, Inf. Syst. Res..

[3]  Robert P. Bostrom,et al.  The effects of an intrinsically motivating instructional environment on software learning and acceptance , 1994, Inf. Syst. J..

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

[5]  A. Bandura GUIDE FOR CONSTRUCTING SELF-EFFICACY SCALES , 2006 .

[6]  A Bandura,et al.  Cognitive processes mediating behavioral change. , 1977, Journal of personality and social psychology.

[7]  W. Shadish,et al.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .

[8]  Alan R. Dennis,et al.  Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis , 2001, MIS Q..

[9]  Paul E. Spector Using self‐report questionnaires in OB research: A comment on the use of a controversial method , 1994 .

[10]  B. Zimmerman Self-regulation involves more than metacognition: A social cognitive perspective , 1995 .

[11]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[12]  A. Saks Longitudinal field investigation of the moderating and mediating effects of self-efficacy on the relationship between training and newcomer adjustment. , 1995, The Journal of applied psychology.

[13]  D. Feltz,et al.  Current directions in self-efficacy research in sport , 2011 .

[14]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[15]  Saurabh Gupta New Approaches to End-User Training , 2008 .

[16]  E. Shils The Constitution Of Society , 1982 .

[17]  Kenneth G. Brown,et al.  Using computers to deliver training: Which employees learn and why? , 2001 .

[19]  Robert P. Bostrom,et al.  End-user training methods: what we know, need to know , 2010, Data Base.

[20]  Fred D. Davis,et al.  Improving Computer Training Effectiveness for Decision Technologies: Behavior Modeling and Retention Enhancement , 2001, Decis. Sci..

[21]  Marilyn E. Gist,et al.  Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability , 1992 .

[22]  Robert P. Bostrom,et al.  End User Training: What we Know, Need to Know , 2010 .

[23]  Robert P. Bostrom,et al.  Training End Users: An Experimental Investigation of the Roles of the Computer Interface and Training Methods , 1993, MIS Q..

[24]  D.M. Thomas,et al.  A Meta-theory for Understanding IS in Socio-technical Systems , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

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

[26]  Lorne Olfman,et al.  Conceptual Versus Procedural Software Training for Graphical User Interfaces: A Longitudinal Field Experiment , 1994, MIS Q..

[27]  Richard D. Johnson,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research , 1998, Inf. Syst. Res..

[28]  Dominic M. Thomas,et al.  A MetaTheory for Understanding IS in Socio-Technical Systems , 2007 .

[29]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[30]  Robert P. Bostrom,et al.  Technology-Mediated Learning: A Comprehensive Theoretical Model , 2009, J. Assoc. Inf. Syst..

[31]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

[32]  Shuk Ying Ho,et al.  Human-computer interaction and management information systems: Foundations , 2008, J. Assoc. Inf. Sci. Technol..

[33]  Lorne Olfman,et al.  The Importance of Learning Style in End-User Training , 1990, MIS Q..

[34]  L Olfman,et al.  End‐user software training: an experimental comparison of methods to enhance motivation , 1991, Inf. Syst. J..

[35]  David H. Jonassen,et al.  Handbook of Research for educational Communications and Technology , 1997 .

[36]  Lorne Olfman,et al.  An experimental analysis of end‐user software training manuals * , 1995, Inf. Syst. J..

[37]  Eduardo Salas,et al.  Optimizing e‐learning: Research‐based guidelines for learner‐controlled training , 2004 .

[38]  Blake Ives,et al.  Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effectiveness in Basic It Skills Training Author(s): Piccoli Et Al./web-based Virtual Learning Environments Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effe , 2022 .

[39]  M MarakasGeorge,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy , 1998 .

[40]  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..

[41]  A. Giddens The Constitution of Society , 1985 .