Applying multi-intelligent adaptive hypermedia to online learning

Applying Multi-Intelligent Adaptive Hypermedia to Online Learning combines adaptive hypermedia and asynchronous Web communication technologies with the cognitive Theory of Multiple Intelligences and educational methodologies to prototype and evaluate a novel approach to online learning through customized content presentation by characterizing learners in terms of their most developed intelligences. While the Theory of Multiple Intelligences has been used successfully in classroom environments, demonstrating that learners benefit from multiple entry points and multiple representations of material, this study examines whether the Theory of Multiple Intelligences can be applied in a similar manner to an online learning environment. Can the cognitive Theory of Multiple Intelligences be used to support adaptation in an online learning environment? This is the research question underlying the study, conducted in three stages: user characterization and understanding goals, development of prototype adaptive hypermedia framework and learning modules, and formative evaluation of prototype. The entire study was conducted online via a Web-based framework developed for the purposes of the study. The study involved determining the three most developed intelligences for 19 males and 15 females from seven states and Canada. Representing a range of most developed intelligences and technical backgrounds, participants ranged in age from 17 to 57. Adaptive text presentation and adaptive multimedia presentation modify prototype learning module content based on a stereotype user model, characterizing users by their technical background and most developed intelligences. Implementing the educational methodologies of the Entry Point Framework and multiple representations of subject matter, the prototype learning modules use explanation and page variants as the adaptive hypermedia content adaptation method and technique. The formative evaluation indicates that further application of the Theory of Multiple Intelligences, the Entry Point Framework, multiple representations, and the Teaching for Understanding Framework will improve the prototype, offering rich multi-intelligent adaptive hypermedia content presentations and moving toward an implementation of “anytime, anywhere, anyone, anyhow” online learning.

[1]  Nathalie Mathe,et al.  User-centered indexing for adaptive information access , 2004, User Modeling and User-Adapted Interaction.

[2]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[3]  Paul De Bra Adaptive Hypermedia on the Web: Methods, Technology and Applications , 1998, WebNet.

[4]  M. Foucault,et al.  The Order of Things , 2017 .

[5]  Heinz Mandl,et al.  Learning Issues for Intelligent Tutoring Systems , 1988, Cognitive Science.

[6]  A. Jensen,et al.  The g factor , 1996, Nature.

[7]  Peter Brusilovsky,et al.  The Value of Adaptivity in Hypermedia Learning Environments: A Short Review of Empirical Evidence , 2004 .

[8]  G. Reeke The society of mind , 1991 .

[9]  T. Gelder,et al.  The dynamical hypothesis in cognitive science , 1998, Behavioral and Brain Sciences.

[10]  J. Hartley,et al.  SOME LEARNING MODELS FOR ARITHMETIC TASKS AND THEIR USE IN COMPUTER BASED LEARNING , 1971 .

[11]  Hongjing Wu,et al.  Supporting user adaptation in adaptive hypermedia applications , 2000 .

[12]  Hugh L. Burns,et al.  Foundations of intelligent tutoring systems : an introduction , 1988 .

[13]  Paul W. Richardson The culture of education , 1996 .

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

[15]  I. N. Marshall,et al.  The quantum self: Human nature and consciousness defined by the new physics , 1990 .

[16]  Zenon W. Pylyshyn,et al.  Connectionism and cognitive architecture , 1993 .

[17]  J. Bruner Actual minds, possible worlds , 1985 .

[18]  Alexander J. Romiszowski,et al.  Instructional development paradigms , 1997 .

[19]  A. Walton Litz,et al.  The Cambridge History of Literary Criticism , 2000 .

[20]  Hubert L. Dreyfus,et al.  The Primacy of Phenomenology over Logical Analysis , 1999 .

[21]  Peter Goodyear,et al.  Teaching knowledge and intelligent tutoring , 1991 .

[22]  G. Kane Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[23]  Starr Roxanne Hiltz,et al.  Learning Networks: A Field Guide to Teaching and Learning Online , 1995 .

[24]  Pierre E. Bonzon,et al.  Two-level learner modelling in the tutoring of declarative knowledge based problem solving , 1995, WCCE.

[25]  Judah L. Schwartz,et al.  The Right Size Byte: Reflections of an Educational Software Designer , 1997 .

[26]  D. Perkins Smart Schools: From Training Memories to Educating Minds , 1992 .

[27]  John A. Self Hanging by Two Threads: The Evolution of Intelligent Tutoring Systems Research , 1998, Intelligent Tutoring Systems.

[28]  Peter Brusilovsky,et al.  Methods and techniques of adaptive hypermedia , 1996, User Modeling and User-Adapted Interaction.

[29]  William R. Murray,et al.  A Practical Approach to Bayesian Student Modeling , 1998, Intelligent Tutoring Systems.

[30]  Martha Stone Wiske,et al.  Teaching for understanding : linking research with practice , 1998 .

[31]  Licia Calvi,et al.  Proficiency-Adapted Information Browsing and Filtering in Hypermedia Educational Systems , 1997, User Modeling and User-Adapted Interaction.

[32]  Robert J. Sternberg,et al.  Successful Intelligence: How Practical and Creative Intelligence Determine Success in Life , 1996 .

[33]  W S McCulloch,et al.  A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.

[34]  K. H. Stauder [Psychology of the child]. , 1953, Medizinische Klinik.

[35]  William M. Smith,et al.  A Study of Thinking , 1956 .

[36]  Julita Vassileva,et al.  A task-centered approach for user modeling in a hypermedia office documentation system , 1996, User Modeling and User-Adapted Interaction.

[37]  Bob Lawler,et al.  Designing computer-based microworlds , 1987 .

[38]  Leonard Uhr Teaching machine programs that generate problems as a function of interaction with students , 1969, ACM '69.

[39]  Badrul H. Khan,et al.  A framework for web-based learning , 2000 .

[40]  H. Gardner,et al.  Frames of Mind: The Theory of Multiple Intelligences , 1983 .

[41]  A. Kobsa User Modeling : Recent Work , Prospects and Hazards , 1993 .

[42]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[43]  G. Miller,et al.  Cognitive science. , 1981, Science.

[44]  I. N. Marshall,et al.  The Quantum Society: Mind, Physics and a New Social Vision , 1993 .

[45]  Peter Totterdell,et al.  Adaptation as a Problem of Design , 1990 .

[46]  H. Gardner The mind's new science: a history of the cognitive revolution , 1985 .

[47]  David N. Perkins,et al.  Putting Understanding Up Front. , 1994 .

[48]  J. Fodor,et al.  Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.

[49]  Jill H. Larkin,et al.  Computer-assisted instruction and intelligent tutoring systems - shared goals and complementary approaches , 1992, Technology in education series.

[50]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[51]  Thomas Armstrong 7 Kinds of Smart: Identifying and Developing Your Multiple Intelligences , 1999 .

[52]  Patrick Henry Winston,et al.  Artificial intelligence at MIT: expanding frontiers , 1991 .

[53]  I. N. Marshall,et al.  SQ: Connecting With Our Spiritual Intelligence , 1999 .

[54]  Mia Stern,et al.  Applications of AI in education , 1996, CROS.

[55]  Alfred Kobsa,et al.  User Models in Dialog Systems , 1989, Symbolic Computation.

[56]  Julita Vassileva,et al.  Adaptive Hypertext and Hypermedia , 1998, Springer Netherlands.

[57]  W. Huff EXPERIENCE OR EDUCATION , 1968 .

[58]  D. Smith Philosophy and the Mirror of Nature , 1981 .

[59]  H. Gardner Reflections on Multiple Intelligences: Myths and Messages. , 1995 .

[60]  A. M. White The Process of Education , 1994 .

[61]  J. R. Hartley The design and evaluation of an adaptive teaching system , 1973 .

[62]  John McCarthy,et al.  Programs with common sense , 1960 .

[63]  A R Damasio,et al.  How the brain creates the mind. , 1999, Scientific American.

[64]  H. Gardner Intelligence Reframed: Multiple Intelligences for the 21st Century , 1999 .

[65]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[66]  M. Cole,et al.  Beyond the Individual-Social Antinomy in Discussions of Piaget and Vygotsky , 1996 .

[67]  D. Hindman The Virtual Community: Homesteading on the Electronic Frontier , 1996 .

[68]  Gio Wiederhold,et al.  Software engineering methodology: the Watersluice , 1998 .

[69]  Tom Routen,et al.  Intelligent Tutoring Systems , 1996, Lecture Notes in Computer Science.

[70]  J. Knott The organization of behavior: A neuropsychological theory , 1951 .

[71]  Mayer D. Schwartz,et al.  The Dexter Hypertext Reference Model , 1994, CACM.

[72]  Kristina Höök,et al.  A glass box approach to adaptive hypermedia , 1996, User Modeling and User-Adapted Interaction.

[73]  John R. Anderson,et al.  Skill Acquisition : Compilation of Weak-Method Problem Solutions , 2004 .

[74]  Howard Gardner,et al.  The disciplined mind : what all students should understand , 1999 .

[75]  R. Audi The Cambridge Dictionary of Philosophy , 1995 .

[76]  Elaine Rich,et al.  User Modeling via Stereotypes , 1998, Cogn. Sci..

[77]  John R. Koza,et al.  Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.

[78]  Linda Harasim,et al.  Cover Feature A Framework for Online Learning : The Virtual-U , 1998 .

[79]  G. Cumming,et al.  Learner Models in Collaborative Intelligent Educational Systems , 1991 .

[80]  Mitchel Resnick,et al.  Technologies for lifelong kindergarten , 1998 .

[81]  Elaine Rich,et al.  Stereotypes and User Modeling , 1989 .

[82]  HongJiang Zhang,et al.  An Adaptive Web Content Delivery System , 2000, AH.