An extensible micro-world for learning in the data networking professions

This paper describes the rationale, implementation logic, and user data related to a simulation-based serious game in the domain of computer networking. The resulting micro-world was created to provide rich and open user experiences that mimic important aspects of the real world relevant to technical knowledge, social understanding, and the application of skills in the networking domain. Simulation software called Packet Tracer provides a comprehensive micro-world authoring tool that allows the construction and use of network micro-worlds while a game layer called Aspire overlays Packet Tracer to simulate complex social interactions, requirements of problem formulation and solution, recovery from failure and other important skills needed for success in computer networking professions. These tools were designed from an ECD framework over a number of years and initial studies regarding their use are discussed.

[1]  Risto Miikkulainen,et al.  Creating Intelligent Agents in Games , 2006 .

[2]  Robert J. Mislevy,et al.  Evidence-Centered Design of Epistemic Games: Measurement Principles for Complex Learning Environments. , 2010 .

[3]  Robert J. Mislevy,et al.  Activity Theory and Assessment Theory in the Design and Understanding of the Packet Tracer Ecosystem , 2009 .

[4]  R. Almond,et al.  Focus Article: On the Structure of Educational Assessments , 2003 .

[5]  V. Shute,et al.  Melding the Power of Serious Games and Embedded Assessment to Monitor and Foster Learning: Flow and Grow , 2009 .

[6]  Hannes Högni Vilhjálmsson,et al.  Social Perception and Steering for Online Avatars , 2008, IVA.

[7]  P. Wouters,et al.  A meta-analysis of the cognitive and motivational effects of serious games , 2013 .

[8]  Rafael A. Calvo,et al.  Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications , 2010, IEEE Transactions on Affective Computing.

[9]  Chris Dede,et al.  Thinking outside the bubble: Virtual Performance Assessments for Measuring Inquiry Learning , 2012 .

[10]  M. Lepper,et al.  Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. , 1996 .

[11]  David M. Williamson,et al.  Introduction to Evidence Centered Design and Lessons Learned From Its Application in a Global E-Learning Program , 2004 .

[12]  Robert J. Mislevy,et al.  Putting ECD into Practice: The Interplay of Theory and Data in Evidence Models within a Digital Learning Environment , 2012, EDM 2012.

[13]  E. Hutchins Cognition in the wild , 1995 .

[14]  S. Messick Validity of Psychological Assessment: Validation of Inferences from Persons' Responses and Performances as Scientific Inquiry into Score Meaning. Research Report RR-94-45. , 1994 .

[15]  Arthur C. Graesser,et al.  Operation ARIES!: A Serious Game for Teaching Scientific Inquiry , 2011, Serious Games and Edutainment Applications.

[16]  Noah S. Podolefsky Learning science through computer games and simulations , 2012 .

[17]  J. P. Gee,et al.  What Would a State of the Art Instructional Video Game Look like , 2005 .

[18]  Kristy Elizabeth Boyer,et al.  Toward a Machine Learning Framework for Understanding Affective Tutorial Interaction , 2012, ITS.

[19]  Adrien Treuille,et al.  Predicting protein structures with a multiplayer online game , 2010, Nature.

[20]  Yasmin B. Kafai,et al.  How computer games help children learn , 2008 .

[21]  Arthur C. Graesser,et al.  AutoMentor: Artificial Intelligent Mentor in Educational Game , 2013, AIED.

[22]  R. Mislevy Evidence and inference in educational assessment , 1994 .

[23]  Kristy Elizabeth Boyer,et al.  Investigating the Relationship Between Dialogue Structure and Tutoring Effectiveness: A Hidden Markov Modeling Approach , 2011, Int. J. Artif. Intell. Educ..

[24]  Deborah Meier,et al.  The Power of Their Ideas: Lessons for America from a Small School in Harlem , 2002 .

[25]  Douglas B. Clark,et al.  Digital games for learning: A systematic review and meta-analysis , 2013 .

[26]  S. Messick Validity of Psychological Assessment: Validation of Inferences from Persons' Responses and Performances as Scientific Inquiry into Score Meaning. Research Report RR-94-45. , 1994 .

[27]  Robert J. Mislevy,et al.  Psychometric and Evidentiary Approaches to Simulation Assessment in Packet Tracer Software , 2009, 2009 Fifth International Conference on Networking and Services.

[28]  Robert J. Mislevy,et al.  Design and Discovery in Educational Assessment: Evidence-Centered Design, Psychometrics, and Educational Data Mining , 2012, EDM 2012.

[29]  Arthur C. Graesser,et al.  Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments , 2010, Int. J. Hum. Comput. Stud..

[30]  S. Thompson Social Learning Theory , 2008 .

[31]  Russell G. Almond,et al.  Design and analysis in task-based language assessment , 2002 .

[32]  Cristina Conati,et al.  An Analysis of Attention to Student - Adaptive Hints in an Educational Game , 2012, ITS.

[33]  Dietrich Albert,et al.  Micro-adaptivity: protecting immersion in didactically adaptive digital educational games , 2010, J. Comput. Assist. Learn..

[34]  V. Shute,et al.  Assessment and Learning of Qualitative Physics in Newton's Playground , 2013, AIED.

[35]  K. DiCerbo SUBSTANTIVE VALIDITY OF A SIMULATION-BASED GAME , 2012 .

[36]  Vincent Aleven,et al.  Using Tutors to Improve Educational Games , 2011, AIED.