The Role of Positive Feedback in Intelligent Tutoring Systems

The focus of this study is positive feedback in one-on-one tutoring, its computational modeling, and its application to the design of more effective Intelligent Tutoring Systems. A data collection of tutoring sessions in the domain of basic Computer Science data structures has been carried out. A methodology based on multiple regression is proposed, and some preliminary results are presented. A prototype Intelligent Tutoring System on linked lists has been developed and deployed in a collegelevel Computer Science class.

[1]  Takashi Yamauchi,et al.  Learning from human tutoring , 2001, Cogn. Sci..

[2]  Michael Drake,et al.  Scaffolding techniques of expert human tutors. , 1997 .

[3]  M. Chi Constructing Self-Explanations and Scaffolded Explanations in Tutoring , 1996 .

[4]  Kurt VanLehn,et al.  The Andes Physics Tutoring System: Five Years of Evaluations , 2005, AIED.

[5]  Trude Heift,et al.  Error-specific and individualised feedback in a Web-based language tutoring system: Do they read it? , 2001, ReCALL.

[6]  Xin Lu,et al.  Expert Tutoring and Natural Language Feedback in Intelligent Tutoring Systems , 2006, ICCE.

[7]  Stellan Ohlsson,et al.  Learning from Performance Errors. , 1996 .

[8]  Pasi Fränti,et al.  Web Data Mining , 2009, Encyclopedia of Database Systems.

[9]  B. Bloom The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring , 1984 .

[10]  HeiftTrude Error-specific and individualised feedback in a Web-based language tutoring system Do they read it? , 2001 .

[11]  Ronald P. Carver,et al.  Reading Rate: A Review of Research and Theory , 1990 .

[12]  M. Weaver,et al.  Do students value feedback? Student perceptions of tutors’ written responses , 2006 .

[13]  Davide Fossati,et al.  Beyond the code-and-count analysis of tutoring dialogues , 2007, AIED.

[14]  Davide Fossati,et al.  Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring Systems , 2005, ACL.

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

[16]  Antonija Mitrovic,et al.  Assessing the Impact of Positive Feedback in Constraint-Based Tutors , 2008, Intelligent Tutoring Systems.

[17]  Antonija Mitrovic,et al.  DB-Suite: Experiences with Three Intelligent, Web-Based Database Tutors. , 2004 .

[18]  A. Renkl Worked-out examples: instructional explanations support learning by self- explanations , 2002 .