The Effect of Metacognitive Scaffolding for Learning by Teaching a Teachable Agent

The effect of metacognitive scaffolding for learning by teaching was investigated and compared against learning by being tutored. Three versions of an online learning environment for learning algebra equations were created: (1) APLUS that allows students to interactively teach a synthetic peer with a goal to have the synthetic peer pass the quiz while the system provides students with metacognitive scaffolding on how to teach. (2) A plus T utor that provides cognitive tutoring (i.e., immediate feedback and just-in-time hint) and metacognitive scaffolding on how to learn. And, (3) C og T utor + that provides traditional cognitive tutoring on mastery learning. Two school studies were conducted with a total of 444 6th through 8th grade students. 208 students completed the study and were included in the analysis. The results show that (i) students’ proficiency in solving equations increased after using our interventions for 4 days, but there was no difference in the effectiveness across three interventions, and (ii) learning by teaching with metacognitive scaffolding facilitated learning equally across various levels of students’ prior competency.

[1]  Evelyn Yarzebinski,et al.  Shallow learning as a pathway for successful learning both for tutors and tutees , 2012, CogSci.

[2]  Kenneth R. Koedinger,et al.  Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors , 2005 .

[3]  John R. Anderson,et al.  Cognitive Tutors: Lessons Learned , 1995 .

[4]  Youngcook Jun Facilitating Mathematical Learning with a Peer Tutoring System: Lessons Learned , 2003 .

[5]  Evelyn Yarzebinski,et al.  Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor , 2011, AIED.

[6]  Gautam Biswas,et al.  Shallow strategy development in a teachable agent environment designed to support self-regulated learning , 2013, Comput. Educ..

[7]  L. F. Annis The processes and effects of peer tutoring. , 1983 .

[8]  Gautam Biswas,et al.  From Design to Implementation to Practice a Learning by Teaching System: Betty’s Brain , 2016, International Journal of Artificial Intelligence in Education.

[9]  Diane Hedin,et al.  Students as Teachers: A Tool for Improving School Climate and Productivity. , 1987 .

[10]  Rod D. Roscoe,et al.  Understanding Tutor Learning: Knowledge-Building and Knowledge-Telling in Peer Tutors’ Explanations and Questions , 2007 .

[11]  John R. Anderson,et al.  General Principles for an Intelligent Tutoring Architecture. , 1995 .

[12]  John R. Anderson,et al.  Cognitive Modeling and Intelligent Tutoring , 1990, Artif. Intell..

[13]  John R. Anderson,et al.  A Development System for Model-Tracing Tutors , 2008 .

[14]  Donald Michie,et al.  Learning by Teaching , 1989, SCAI.

[15]  Floris Linnebank,et al.  DynaLearn - An Intelligent Learning Environment for Learning Conceptual Knowledge , 2013, AI Mag..

[16]  Alan Gartner,et al.  Children teach children;: Learning by teaching , 1971 .

[17]  Daniel F. McCaffrey,et al.  Effectiveness of Cognitive Tutor Algebra I at Scale , 2014 .

[18]  John R. Anderson,et al.  Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.

[19]  Luc De Raedt,et al.  Inductive Logic Programming: Theory and Methods , 1994, J. Log. Program..

[20]  L. Fuchs,et al.  Enhancing Students' Helping Behavior during Peer-Mediated Instruction with Conceptual Mathematical Explanations , 1997, The Elementary School Journal.

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

[22]  J. Fantuzzo,et al.  Peer-assisted learning interventions with elementary school students: A meta-analytic review. , 2003 .

[23]  Christopher F. Sharpley,et al.  An Examination of the Effectiveness of a Cross-age Tutoring Program in Mathematics for Elementary School Children , 1983 .

[24]  D. Moore,et al.  Reciprocal Teaching of Comprehension‐fostering and Comprehension‐monitoring Activities with Ten Primary School Girls , 1988 .

[25]  Paula J. Durlach,et al.  Reinforcing Math Knowledge by Immersing Students in a Simulated Learning-By-Teaching Experience , 2014, International Journal of Artificial Intelligence in Education.

[26]  Daniel L. Schwartz,et al.  Teachable Agents and the Protégé Effect: Increasing the Effort Towards Learning , 2009 .

[27]  Jorge Adolfo Ramírez Uresti,et al.  Expertise, Motivation and Teaching in Learning Companion Systems , 2004, Int. J. Artif. Intell. Educ..

[28]  Ryan Shaun Joazeiro de Baker,et al.  Developing a generalizable detector of when students game the system , 2008, User Modeling and User-Adapted Interaction.

[29]  Kenneth R. Koedinger,et al.  Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students , 2010, Intelligent Tutoring Systems.

[30]  V. L. Allen,et al.  Research on Children Tutoring Children: A Critical Review , 1976 .

[31]  Kenneth R. Koedinger,et al.  Adaptive Intelligent Support to Improve Peer Tutoring in Algebra , 2013, International Journal of Artificial Intelligence in Education.

[32]  Debbie R. Robinson,et al.  Peer and Cross-Age Tutoring in Math:Outcomes and Their Design Implications , 2005 .

[33]  Chen-Lin C. Kulik,et al.  Educational Outcomes of Tutoring: A Meta-analysis of Findings , 1982 .

[34]  Phillipp Bergmann,et al.  Peer Assisted Learning , 2016 .

[35]  Albert T. Corbett,et al.  Cognitive Tutor: Applied research in mathematics education , 2007, Psychonomic bulletin & review.

[36]  William W. Cohen,et al.  Cognitive anatomy of tutor learning: Lessons learned with SimStudent. , 2013 .

[37]  Albert T. Corbett,et al.  Cognitive Mastery Learning in the ACT Programming Tutor , 2000 .

[38]  Gautam Biswas,et al.  LEARNING BY TEACHING: A NEW AGENT PARADIGM FOR EDUCATIONAL SOFTWARE , 2005, Appl. Artif. Intell..

[39]  Kenneth R. Koedinger,et al.  Key Misconceptions in Algebraic Problem Solving , 2008 .

[40]  J. Metcalfe,et al.  A Region of Proximal Learning Model of Study Time Allocation Journal of Memory and Language , 2005 .

[41]  Tom M. Mitchell,et al.  Generalization as Search , 2002 .

[42]  Gautam Biswas,et al.  Feedback for Metacognitive Support in Learning by Teaching Environments , 2006 .

[43]  Asunción Gómez-Pérez,et al.  DynaLearn - Engaging and Informed Tools for Learning Conceptual System Knowledge , 2009, AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems.

[44]  Sharon Vaughn,et al.  Reciprocal Teaching of Reading Comprehension Strategies for Students with Learning Disabilities Who Use English as a Second Language , 1996, The Elementary School Journal.

[45]  T. Scruggs,et al.  Handicapped Students as Tutors , 1985 .

[46]  E. Cohen Restructuring the Classroom: Conditions for Productive Small Groups , 1994 .

[47]  William W. Cohen Hardness Results for Learning First-Order Representations and Programming by Demonstration , 2004, Machine Learning.

[48]  Kenneth R. Koedinger,et al.  Tell Me How to Teach, I'll Learn How to Solve Problems , 2016, ITS.

[49]  Kenneth R. Koedinger,et al.  A Computational Model of How Learner Errors Arise from Weak Prior Knowledge , 2009 .

[50]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[51]  Zhiqi Shen,et al.  Learning-by-Teaching: Designing Teachable Agents with Intrinsic Motivation , 2012, J. Educ. Technol. Soc..

[52]  Alexander Renkl,et al.  Learning for later teaching: An exploration of mediational links between teaching expectancy and learning results. , 1995 .

[53]  Kenneth R. Koedinger,et al.  Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching , 2014, Intelligent Tutoring Systems.

[54]  Evelyn Yarzebinski,et al.  Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment , 2013, International Journal of Artificial Intelligence in Education.

[55]  Gautam Biswas,et al.  Measuring Self-Regulated Learning Skills through Social Interactions in a teachable Agent Environment , 2010, Res. Pract. Technol. Enhanc. Learn..

[56]  Tessa A. Lau,et al.  Programming by demonstration: an inductive learning formulation , 1998, IUI '99.

[57]  A. King,et al.  Mutual peer tutoring: Effects of structuring tutorial interaction to scaffold peer learning. , 1998 .

[58]  Lena Pareto A Teachable Agent Game Engaging Primary School Children to Learn Arithmetic Concepts and Reasoning , 2014, International Journal of Artificial Intelligence in Education.

[59]  M. W. Britz,et al.  The Effects of Peer Tutoring on Mathematics Performance: A Recent Review. , 1989 .

[60]  Kurt VanLehn,et al.  The Behavior of Tutoring Systems , 2006, Int. J. Artif. Intell. Educ..

[61]  Ryan Shaun Joazeiro de Baker,et al.  Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor , 2010, UMAP.

[62]  Ann L. Brown,et al.  Reciprocal Teaching of Comprehension-Fostering and Comprehension-Monitoring Activities , 1984 .

[63]  Kenneth R. Koedinger,et al.  Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring , 2014, International Journal of Artificial Intelligence in Education.

[64]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.