The Cognitive Effects of Computer Learning Environments

The potential cognitive consequences of computers in education are just starting to emerge. The power and capabilities of computers change rapidly. Researchers often working with outmoded computer learning environments have just begun to catalog and analyze the activities that occur in these situations. There is clear agreement that computers can help students learn to solve problems and that computers might help to ameliorate the dearth of problem-solving activities in classrooms. A useful way to think about the potential advantages of the computer learning environments is in terms of a chain of cognitive accomplishments culminating in problem-solving skill. Such a chain can be identified and used to assess instruction using computers for programming, simulations, and tools such as spreadsheets. The chain emphasizes the need for students to learn templates or stereotypic sequences of actions for solving problems. It also makes clear that planning and testing are central components of problem solving. The articles in this issue illustrate how far along the chain students in typical computer learning environments progress. They offer conjectures about why students fail to proceed further and suggestions about how the situation can be improved.

[1]  Ellen Beth Mandinach.  The role of strategic planning and self-regulation in learning an intellectual computer game , 1984 .

[2]  Thomas W. Malone,et al.  What Makes Things Fun to Learn? A Study of Intrinsically Motivating Computer Games. , 1981 .

[3]  David H. Ahl.  School Uses of Microcomputers. , 1983 .

[4]  Patrick H. McCann,et al.  Learning strategies and computer-based instruction , 1981 .

[5]  E. Mandinach,et al.  The role of cognitive engagement in classroom learning and motivation , 1983 .

[6]  James M. Royer.  Theories of the transfer of learning , 1979 .

[7]  M. Linn,et al.  Cognitive consequences of Programming Instruction: Instruction, Access, and Ability , 1985 .

[8]  Richard Ennals,et al.  Fifth Generation Computing: Introducing Micro-Prolog into the Classroom , 1985 .

[9]  R. Hess,et al.  Gender differences in enrollment in computer camps and classes , 1985 .

[10]  Roy D. Pea,et al.  On the Cognitive Effects of Learning Computer Programming: A Critical Look. Technical Report No. 9. , 1987 .

[11]  Marlaine E. Lockheed,et al.  Determinants of Microcomputer Literacy in High School Students , 1985 .

[12]  M. Fetler.  Sex differences on the California statewide assessment of computer literacy , 1985 .

[13]  Ira P. Goldstein,et al.  The genetic graph: a representation for the evolution of procedural knowledge , 1979 .

[14]  M. Lepper.  Microcomputers in education: Motivational and social issues. , 1985 .

[15]  James L. Stansfield,et al.  Wumpus Advisor I. A First Implementation of a Program That Tutors Logical and Probabilistic Reasoning Skills. AI Memo 381. , 1976 .

[16]  Noreen M. Webb,et al.  Microcomputer Learning in Small Groups: Cognitive Requirements and Group Processes. , 1984 .

[17]  Marlaine E. Lockheed.  Women, girls, and computers: A first look at the evidence , 1985 .

[18]  Ellen B. Mandinach.  Clarifying the “A” in CAI for Learners of Different Abilities , 1984 .

[19]  E. Mandinach,et al.  Cognitive engagement variations among students of different ability level and sex in a computer problem solving game , 1985 .

[20]  John A. Brown,et al.  A Study of Problem Solving , 1962 .

[21]  Ira P. Goldstein,et al.  The computer as coach: As athletic paradigm for intellectual education , 1977, ACM '77.

[22]  Gita Z. Wilder,et al.  Gender and computers: Two surveys of computer-related attitudes , 1985 .

[23]  Marjorie Ragosta,et al.  Computer-Assisted Instruction and Compensatory Education: A Longitudinal Analysis. , 1983 .

[24]  Marlaine E. Lockheed,et al.  Sex Equity: Increasing Girls' Use of Computers. , 1984 .

[25]  Thomas W. Malone,et al.  Toward a Theory of Intrinsically Motivating Instruction , 1981, Cogn. Sci..

[26]  Seymour Papert,et al.  Mindstorms: Children, Computers, and Powerful Ideas , 1981 .

[27]  Marcia C. Linn,et al.  Cognitive Consequences of Programming: Augmentations to Basic Instruction , 1986 .

[28]  Marcia C. Linn,et al.  Male-Female Differences in Predicting Displaced Volume: Strategy Usage, Aptitude Relationships, and Experience Influences. , 1983 .

[29]  James G Greeno,et al.  Some Examples of Cognitive Task Analysis with Instructional Implications , 1979, Aptitude, Learning, and Instruction.

[30]  John Seely Brown,et al.  An Investigation of Computer Coaching for Informal Learning Activities. , 1978 .

[31]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[32]  Andrew Barbour.  Computing in America's Classrooms 1984: The New Computer Literacy Emerges. , 1984 .

[33]  Marcia C. Linn,et al.  Cognitive Consequences of Programming: Achievements of Experienced and Talented Programmers , 1987 .

[34]  Marcia C. Linn,et al.  The Demands and Requirements of Computer Programming: A Literature Review , 1985 .

[35]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[36]  M. Linn.  The Cognitive Consequences of Programming Instruction in Classrooms , 1985 .

[37]  Marcia C. Linn,et al.  Fostering equitable consequences from computer learning environments , 1985 .

[38]  R. Glaser.  Education and Thinking: The Role of Knowledge. , 1984 .