The Integration of Computer Simulation and Learning Support: An Example from the Physics Domain of Collisions

Discovery learning is generally seen as a promising but demanding mode of learning that, in most cases, can only be successful if students are guided in the discovery process. The present article discusses a study on discovery learning with a computer simulation environment in the physics domain of collisions. In the learning environment, which is called Collision, students learned about collisions where two particles move in the same direction and interact via a conservative force in such a way that the total mechanical energy is conserved. In the experiment we conducted with Collision, we evaluated the effects of adding two different ways to guide students: model progression, in which the model is presented in separate parts; and assignments, small exercises that the student can choose to do. The effect of providing assignments and model progression was evaluated by comparing the learning behavior and learning results over three experimental conditions in which different versions of the simulation environment were presented: pure simulation, simulation plus assignments, and simulation plus model progression and assignments. Students' use of the environment was logged, their subjectively experienced workload was measured on-line, and their learning was assessed using a number of assessment procedures. Providing assignments with the simulation improved students' performance on one aspect of a so-called intuitive knowledge test. Providing the students with model progression did not have an effect. A subjective workload measure indicated that expanding the simulation with assignments and model progression did not raise the workload experienced by the students.

[1]  Quinn James,et al.  The Effects of Simulation Complexity and Hypothesis-Generation Strategy on Learning , 1994 .

[2]  J. C. Byers,et al.  Comparison of Four Subjective Workload Rating Scales , 1992 .

[3]  Davida Charney,et al.  Goal Setting and Procedure Selection in Acquiring Computer Skills: A Comparison of Tutorials, Problem Solving, and Learner Exploration , 1990 .

[4]  Paul W. Grimes,et al.  The effectiveness of microcomputer simulations in the principles of economics course , 1990 .

[5]  T. Jong,et al.  Exploratory learning with a computer simulation for control theory: learning processes and instructional support , 1993 .

[6]  T. Jong,et al.  Measuring intuitive knowledge in science: The development of the what-if test , 1996 .

[7]  Lloyd P. Rieber,et al.  The effects of computer animation on adult learning and retrieval tasks , 1990 .

[8]  Ton de Jong,et al.  Support for Simulation-Based Learning: The Effect of Assignments in Learning about Transmission Lines , 1996, CALISCE.

[9]  Peter W. Hewson,et al.  Effect of instruction using microcomputer simulations and conceptual change strategies on science learning , 1986 .

[10]  Diana Laurillard,et al.  Computer simulation as a tool for developing intuitive and conceptual understanding in mechanics , 1993 .

[11]  Vincent N. Lunetta,et al.  Problem-Solving Behaviors during a Genetics Computer Simulation: Beyond the Expert/Novice Dichotomy , 1993 .

[12]  Barbara Y. White,et al.  Causal Model Progressions as a Foundation for Intelligent Learning Environments , 1990, Artif. Intell..

[13]  Vitor Duarte Teodoro Direct Manipulation of Physical Concepts in a Computerized Exploratory Laboratory , 1992 .

[14]  F. Paas,et al.  Measurement of Cognitive Load in Instructional Research , 1994, Perceptual and motor skills.

[15]  Leona Schauble,et al.  Causal Models and Experimentation Strategies in Scientific Reasoning , 1991 .

[16]  Brian K. Smith,et al.  Combining General and Domain-Specific Strategic Support for Biological Inquiry , 1996, Intelligent Tutoring Systems.

[17]  Janine Swaak,et al.  Self-directed learning in simulation-based discovery environments , 1998, J. Comput. Assist. Learn..

[18]  Robert H. Rivers,et al.  Computer simulations to stimulate scientific problem solving , 1987 .

[19]  T. Jong,et al.  Supporting simulation-based learning; the effects of model progression and assignments on definitional and intuitive knowledge , 1998 .

[20]  Diana Laurillard,et al.  Learning through collaborative computer simulations , 1992, Br. J. Educ. Technol..

[21]  B. White ThinkerTools: Causal Models, Conceptual Change, and Science Education , 1993 .

[22]  Ton de Jong,et al.  Coping with Complex Environments: The Effects of Providing Overviews and a Transparent Interface on Learning with a Computer Simulation , 1993, Int. J. Man Mach. Stud..

[23]  Ron Good,et al.  The nature and use of prediction skills in a biological computer simulation , 1988 .

[24]  Valerie J. Shute,et al.  A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown , 1990, Interact. Learn. Environ..

[25]  D. Broadbent,et al.  On the Relationship between Task Performance and Associated Verbalizable Knowledge , 1984 .

[26]  Lloyd P. Rieber,et al.  Using Computer Animated Graphics in Science Instruction with Children , 1990 .

[27]  Ton de Jong,et al.  Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .

[28]  Ton de Jong,et al.  SMISLE : system for multimedia integrated simulation learning environments , 1993 .

[29]  Rafi Nachmias,et al.  Learning Scientific Reasoning Skills in Microcomputer-Based Laboratories , 1990 .

[30]  Lloyd P. Rieber,et al.  To Teach or Not to Teach? Comparing the Use of Computer-Based Simulations in Deductive versus Inductive Approaches to Learning with Adults in Science , 1995 .

[31]  M. Ferguson-Hessler,et al.  Cognitive structures of good and poor novice problem solvers in physics , 1986 .

[32]  Barbara Y. White,et al.  Causal models as intelligent learning environments for science and engineering education , 1989, Appl. Artif. Intell..

[33]  Leona Schauble,et al.  Scientific Reasoning Across Different Domains , 1992 .

[34]  Julie-Ann Sime Model Switching in a Learning Environment based on Multiple Models , 1998, Interact. Learn. Environ..

[35]  Barbara Y. White,et al.  Designing Computer Games to Help Physics Students Understand Newton's Laws of Motion , 1984 .