DEGREE OF CONSTRUCTED‐RESPONSE INTERACTION IN COMPUTER‐BASED PROGRAMMED INSTRUCTION

This investigation evaluated the importance of frequent responding in computer-based programmed instruction. Instructional computer programs that taught the use of an authoring language were administered to 155 undergraduate college students. One group experienced frequent (dense) situations requiring them to supply key components of the subject taught. A second group experienced half as many response requirements, and a third ‘‘passive’’ group simply tapped any key to progress. To control for time in contact with presentations, individuals in a fourth group were yoked to the members of the highdensity requirement group. Statistically significant differences on both posttest and application performances indicated that students who experienced the high density of overt response contingencies scored the best and the passive group score the worst. The yoked control revealed that time on task alone could not account for the superior performance of students in the high-density group. Results suggest that inclusion of a high rate of constructed-response contingencies within instructional computer programs increases performance. DESCRIPTORS: programmed instruction, computer-based instruction, interaction, constructed response, contingency

[1]  Chen-Lin C. Kulik,et al.  Effectiveness of Computer-Based Education in Secondary Schools. , 1985 .

[2]  B. F. Skinner,et al.  Reflections on a Decade of Teaching Machines , 1963, Teachers College Record: The Voice of Scholarship in Education.

[3]  Chen-Lin C. Kulik,et al.  Effectiveness of Computer-based College Teaching: A Meta-analysis of Findings , 1980 .

[4]  Meredith D. Gall,et al.  Educational Research: An Introduction , 1965 .

[5]  Ronald P. Cody,et al.  Applied statistics and the SAS programming language (2nd ed.) , 1986 .

[6]  James G. Holland,et al.  Response contingencies in teaching-machine programs. , 1965 .

[7]  J. D. Fletcher Effectiveness and Cost of Interactive Videodisc Instruction in Defense Training and Education , 1990 .

[8]  James G. Holland,et al.  A Quantitative Measure for Programmed Instruction1 , 1967 .

[9]  Michael J. Hannafin,et al.  Empirical issues in the study of computer-assisted interactive video , 1985 .

[10]  D E Bostow,et al.  Efficacy of interactive, automated programmed instruction in nutrition education for cancer prevention. , 1993, Journal of cancer education : the official journal of the American Association for Cancer Education.

[11]  J. G. Holland,et al.  A measure of programing in teaching-machine material. , 1965, Journal of educational psychology.

[12]  Chen-Lin C. Kulik,et al.  Effectiveness of computer-based instruction: An updated analysis. , 1991 .

[13]  David Cohen,et al.  Programed instruction and teaching machines , 1964 .

[14]  D E Bostow,et al.  Computer-programmed instruction: The relation of required interaction to practical application. , 1991, Journal of applied behavior analysis.

[15]  The Effect of Embedded Questions on Readers' Calibration of Test Readiness. , 1993 .

[16]  Henry Jay Becker,et al.  The Effects of Computer Use on Children's Learning: Limitations of Past Research and a Working Model for New Research* , 1986 .

[17]  Michael J. Hannafin,et al.  The effects of knowledge—versus context-based design strategies on information and application learning from interactive video , 1987 .

[18]  Michael J. Hannafin,et al.  The effects of practice and orienting activities on learning from interactive video , 1988 .

[19]  Ronald P. Cody,et al.  Applied Statistics and the SAS Programming Language. , 1986 .