Can instruction as such affect learning? The case of learner control

This study examined the role of learners' perceptions in a learner-controlled computer-based learning environment. Computer-based learning environments that offer learner control (LC) to the learners are assumed to enhance motivation and learning outcomes. Recently, the focus of LC research has shifted from measuring the direct effect of LC on learning towards focusing on the underlying mechanisms of effective LC and determining under which conditions LC is most effective (Corbalan, Kester, & van Merrienboer, 2009). There is considerable agreement that learners' skills, perceptions and the experienced cognitive load interactively affect LC as instructional strategy. For this study, 165 first-year university students participated in an on-line English learning course on verb conjugation. We investigated the effect of learners' perceptions of LC by comparing the learning outcomes and motivation of learners that received additional instructions on learner control with a group of learners that did not receive additional instruction. Learner characteristics, such as prior knowledge, working memory capacity, self-efficacy and cognitive load, were taken into account. The results indicate that it is not instruction as such, but rather satisfaction with the degree of control that affects learning outcomes and motivation. We suggest that instruction as such does not suffice to enhance perception of control, and that learners' perceptions play a mere role in the effectiveness of instructional strategies such as learner control.

[1]  Wilhelmina C. Savenye,et al.  Effects of learner control, advisement, and prior knowledge on young students' learning in a hypertext environment , 1994 .

[2]  F. Tuerlinckx,et al.  Task perception as a mediating variable: a contribution to the validation of instructional knowledge. , 2001, The British journal of educational psychology.

[3]  Dwight W. Allen,et al.  Education and Technology: The Changing Basics. , 1980 .

[4]  K. Schermelleh-Engel,et al.  Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. , 2003 .

[5]  Wim De Neys,et al.  Individual Differences in Rational Thinking Time , 2005 .

[6]  Mable B. Kinzie,et al.  Continuing motivation, learner control, and CAI , 1989 .

[7]  M. Lepper,et al.  When choice is demotivating: Can one desire too much of a good thing? , 2000 .

[8]  Thomas Li-Ping Tang,et al.  Students' perceptions of teaching technologies, application of technologies, and academic performance , 2009, Comput. Educ..

[9]  Terry E. Duncan,et al.  Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. , 1989, Research quarterly for exercise and sport.

[10]  R. Ryan,et al.  Intrinsic motivation and the effects of self-consciousness, self-awareness, and ego-involvement: An investigation of internally controlling styles , 1985 .

[11]  J. Michael Spector,et al.  Handbook of Research on Educational Communications and Technology, 3rd Edition , 2012 .

[12]  KIMBERLY A. LAWLESS,et al.  Multimedia learning environments: Issues of learner control and navigation , 1997 .

[13]  John R. Anderson,et al.  Cognitive Tutors: Lessons Learned , 1995 .

[14]  G. Clarebout,et al.  Instructional conceptions: Analysis from an instructional design perspective , 2004 .

[15]  Geraldine Clarebout,et al.  The use of instructional interventions: lean learning environments as a solution for a design problem , 2006 .

[16]  Kurt VanLehn,et al.  The Andes Physics Tutoring System: Lessons Learned , 2005, Int. J. Artif. Intell. Educ..

[17]  P. Pintrich A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ). , 1991 .

[18]  Ton de Jong,et al.  Learner vs. System Control in Using Online Support for Simulation-based Discovery Learning , 2001 .

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

[20]  Michael J. Hannafin,et al.  Guidelines for using locus of instructional control in the design of computer-assisted instruction , 1984 .

[21]  F. Hesse,et al.  When are powerful learning environments effective? The role of learner activities and of students’ conceptions of educational technology , 2004 .

[22]  Richard E. Clark,et al.  Blueprints for complex learning: The 4C/ID-model , 2002 .

[23]  Sarah Gielen,et al.  Students’ experiences with contrasting learning environments: The added value of students’ perceptions , 2008 .

[24]  Robert A. Reiser,et al.  The Effects of Self-Regulation and Instructional Control on Performance and Motivation in Computer-based Instruction , 2000 .

[25]  V. Shute,et al.  Adaptive E-Learning , 2003, Educational Psychologist.

[26]  K. Scheiter,et al.  Learner Control in Hypermedia Environments , 2007 .

[27]  Dave Goforth,et al.  Learner Control = Decision Making + Information: A Model and Meta-Analysis , 1994 .

[28]  E. Deci,et al.  The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior , 2000 .

[29]  D. Perkins The Fingertip Effect: How Information-Processing Technology Shapes Thinking , 1985 .

[30]  P. Chandler,et al.  Why Some Material Is Difficult to Learn , 1994 .

[31]  Fielding I. Winters,et al.  Self-Regulation of Learning within Computer-based Learning Environments: A Critical Analysis , 2008 .

[32]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

[33]  Philip H. Winne,et al.  Why process-product research cannot explain process-product findings and a proposed remedy: The cognitive mediational paradigm , 1987 .

[34]  Liesbeth Kester,et al.  Combining shared control with variability over surface features: Effects on transfer test performance and task involvement , 2009, Comput. Hum. Behav..

[35]  J. M. Cortina,et al.  What Is Coefficient Alpha? An Examination of Theory and Applications , 1993 .

[36]  Andrew Large,et al.  Hypertext Instructional Programs and Learner Control: A Research Review. , 1996 .

[37]  Wouter van Joolingen,et al.  Cognitive tools for discovery learning , 1999 .

[38]  Mable B. Kinzie,et al.  Requirements and benefits of effective interactive instruction: Learner control, self-regulation, and continuing motivation , 1990 .

[39]  Slava Kalyuga Implications of Expertise Reversal Effect for Adaptive Multimedia Learning , 2008 .

[40]  Peter Brusilovsky,et al.  User Models for Adaptive Hypermedia and Adaptive Educational Systems , 2007, The Adaptive Web.

[41]  H. Sullivan,et al.  Matching learner preference to amount of instruction: An alternative form of learner control , 1995 .

[42]  Albert T. Corbett,et al.  Intelligent Tutoring Systems , 1985, Science.

[43]  M. Lepper,et al.  Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. , 1996 .

[44]  M. David Merrill,et al.  First principles of instruction , 2012 .

[45]  Philip H. Winne,et al.  How Software Technologies Can Improve Research on Learning and Bolster School Reform , 2006 .

[46]  Walter Schaeken,et al.  A Dutch, computerized, and group administrable adaptation of the operation span test , 2002 .

[47]  Thomas C. Reeves Pseudoscience in Instructional Technology: The Case of Learner Control Research. , 1993 .

[48]  M. David Merrill What Is Learner Control , 1984 .

[49]  Antonija Mitrovic,et al.  A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling , 2003, User Modeling.

[50]  D. Schunk Self-Efficacy for Learning and Performance. , 1996 .

[51]  Cynthia L. Friend,et al.  Learner control in computer-based instruction: a current literature review , 1990 .

[52]  Li-Ling Chen,et al.  Pedagogical Strategies to Increase Pre-Service Teachers' Confidence in Computer Learning , 2004 .

[53]  Noel Entwistle,et al.  Approaches to learning and perceptions of the learning environment , 1991 .

[54]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[55]  A. Assor,et al.  When Choice Motivates and When It Does Not , 2007 .

[56]  Itiel E. Dror,et al.  Technology enhanced learning: The good, the bad, and the ugly , 2008 .

[57]  Judy Kay,et al.  Learner Control , 2001, User Modeling and User-Adapted Interaction.

[58]  B. Schwartz The Paradox of Choice: Why More Is Less , 2004 .