Investigation of the impact of two verbal instruction formats and prior knowledge on student learning in a simulation-based learning environment

This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both. Students who used narrative simulations were found to have a greater CL but also to perform better than those using simulations with on-screen text instructions. However, no significant differences were found between the cognitive efficiency of the two groups. The difficulty of the subject matter and limitations in students' prior content-related knowledge may have increased the intrinsic CL, such that students had difficulty in interpreting the content even if their PK was relatively high. The narrative instructions were more likely than the on-screen text information to reduce the extraneous CL and promote understanding of content. A new measure of cognitive processing is needed to identify the types of CL involved in e-learning and determine the properties of adequate e-learning materials. Finally, the findings of the study are discussed and suggestions for future studies and instructional design are provided.

[1]  Gary H. Marks,et al.  Computer Simulations in Science Teaching: An Introduction , 1982 .

[2]  Robert B. Kozma,et al.  The Cambridge Handbook of Multimedia Learning: Multimedia Learning of Chemistry , 2005 .

[3]  Alfred Bork,et al.  Multimedia in Learning , 2001 .

[4]  Thomas J. Greenbowe,et al.  Developing and using conceptual computer animations for chemistry instruction , 1998 .

[5]  Ton de Jong,et al.  Technological Advances in Inquiry Learning , 2006 .

[6]  Slava Kalyuga,et al.  The Expertise Reversal Effect , 2003 .

[7]  John H. Holland,et al.  Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.

[8]  Michael J. Sanger,et al.  Common student misconceptions in electrochemistry: Galvanic, electrolytic, and concentration cells , 1997 .

[9]  Nu´ria Solsona,et al.  Exploring the development of students' conceptual profiles of chemical change , 2003 .

[10]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[11]  Fred G. W. C. Paas,et al.  The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures , 1992 .

[12]  T. L. Kelley The selection of upper and lower groups for the validation of test items. , 1939 .

[13]  Michael J. Sanger,et al.  Students' Misconceptions in Electrochemistry Regarding Current Flow in Electrolyte Solutions and the Salt Bridge , 1997 .

[14]  A. Paivio Images in mind: The evolution of a theory , 1993 .

[15]  John K. Gilbert,et al.  MODELS AND DISCOURSE : A PRIMARY SCHOOL SCIENCE CLASS VISIT TO A MUSEUM , 1997 .

[16]  H A Rollins,et al.  Processing of words presented simultaneously to eye and ear. , 1980, Journal of experimental psychology. Human perception and performance.

[17]  R. Mayer,et al.  Multimedia Learning: The Promise of Multimedia Learning , 2001 .

[18]  Stephanie D. Teasley,et al.  The Construction of Shared Knowledge in Collaborative Problem Solving , 1995 .

[19]  Jeffrey M. Renk Visual Information Strategies in Mental Model Development. , 1993 .

[20]  S. Maxwell,et al.  Bivariate median splits and spurious statistical significance. , 1993 .

[21]  R. Mayer Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. , 2004, The American psychologist.

[22]  Andreas Ninck,et al.  BrainSpace: a virtual environment for collaboration and innovation , 2004, Int. J. Technol. Manag..

[23]  R. Kozma The material features of multiple representations and their cognitive and social affordances for science understanding , 2003 .

[24]  P Kitcher,et al.  1953 and all that: a tale of two sciences. , 1984, The Philosophical review.

[25]  John M. Carroll,et al.  Mental models in human-computer interaction: research issues about what the user of software knows , 1987 .

[26]  David F. Treagust,et al.  Conceptual difficulties experienced by senior high school students of electrochemistry: Electric circuits and oxidation‐reduction equations , 1992 .

[27]  M. E. Gredler,et al.  EDUCATIONAL GAMES AND SIMULATIONS : A TECHNOLOGY IN SEARCH OF A ( RESEARCH ) PARADIGM , 2002 .

[28]  H. J. Peters,et al.  Graphics and Animation as Instructional Tools: A Case Study. , 1982 .

[29]  Michael J. Sanger,et al.  Addressing student misconceptions concerning electron flow in aqueous solutions with instruction including computer animations and conceptual change strategies , 2000 .

[30]  G. Hanley e‐Learning and the Science of Instruction , 2004 .

[31]  Ton de Jong Computer simulations. Technological advances in inquiry learning. , 2006, Science.

[32]  S. McRoberts,et al.  Computer simulations: a promising new tool for the CNS. , 2005, Clinical nurse specialist CNS.

[33]  Slava Kalyuga,et al.  Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning , 2005 .

[34]  Han-Chin Liu,et al.  The Impact of Learner’s Prior Knowledge on Their Use of Chemistry Computer Simulations: A Case Study , 2008 .

[35]  Steffen-Peter Ballstaedt,et al.  1 Problems in Knowledge Acquisition from Text and Pictures , 1989 .

[36]  R. Mayer,et al.  For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning. , 1994 .

[37]  P. Johnson-Laird,et al.  Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness , 1985 .

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

[39]  Tim S. Roberts Computer-Supported Collaborative Learning in Higher Education. , 2005 .

[40]  Norbert M. Seel,et al.  2 Presentation of Information by Media and its Effect on Mental Models , 1989 .

[41]  David F. Treagust,et al.  Conceptual difficulties experienced by senior high school students of electrochemistry: Electrochemical (galvanic) and electrolytic cells , 1992 .

[42]  Richard Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[43]  John G. Hedberg Futures of education II- Edited by Jürgen Oelkers , 2007, Br. J. Educ. Technol..

[44]  J. Sweller COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[45]  John K. Gilbert,et al.  Positioning Models in Science Education and in Design and Technology Education , 2000 .