Generation, testing and recommendation of teaching materials using classification learning

The study focuses on problems related to the application of Artificial Intelligence (AI) in Human-Computer Interaction (HCI) for Educational Adaptive Hypermedia (EAH). It analyses how to apply Machine Learning (ML) techniques to support teachers in authoring teaching materials. AI principles and techniques are applied to the generation, testing and recommendation of teaching materials (computer network topologies), as a way to providing Web-based help. It also studies the use of teacher-related data to support the recommendation of teaching materials and the adaptation of Web-based help. The subject of application of this study is teaching decision-making skills in network design.

[1]  Joëlle Coutaz.  User Modelling , 1992, Engineering for Human-Computer Interaction.

[2]  Robert W. Proctor,et al.  Handbook of Human Factors in Web Design , 2009 .

[3]  MAGDALINI EIRINAKI,et al.  Web mining for web personalization , 2003, TOIT.

[4]  Ashok Patel,et al.  Hyper-ITS: A web-Based architecture for Evolving and Configurable Learning Environment , 1999 .

[5]  Samuel Pierre,et al.  A generic object-oriented model for representing computer network topologies , 2001 .

[6]  Samuel Pierre,et al.  Inferring new design rules by machine learning: a case study of topological optimization , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[7]  S. T. Buckland,et al.  An Introduction to the Bootstrap. , 1994 .

[8]  Felisa J Vazquez-Abad,et al.  Training the Teacher: A New Approach for Authoring ITSs for Teaching Decision-Making , 2003 .

[9]  Johan Åberg,et al.  Live help systems : an approach to intelligent help for Web information systems , 2002 .

[10]  Federico Garcia.  CACTUS: automated tutorial course generation for software applications , 2000, IUI '00.

[11]  Alan F. Smeaton,et al.  Personalisation and recommender systems in digital libraries , 2005, International Journal on Digital Libraries.

[12]  N. Taatgen.  Learning without limits: from problem solving towards a Unified Theory of Learning , 1999 .

[13]  Mark A. Edwards,et al.  Supporting the Collaborative Learning of Practical Skills with Computer-Mediated Communications Technology , 2001, J. Educ. Technol. Soc..

[14]  ScienceDirect,et al.  Advances in engineering software , 2008, Adv. Eng. Softw..

[15]  Lora Aroyo,et al.  A Layered Approach towards Domain Authoring support , 2002, IC-AI.

[16]  Niklas Lavesson.  Evaluation of classifier performance and the impact of learning algorithm parameters , 2003 .

[17]  Ralf Steinmetz,et al.  Automatic creation of exercises in adaptive hypermedia learning systems , 2000, HYPERTEXT '00.

[18]  Ethem Alpaydin,et al.  Introduction to machine learning , 2004, Adaptive computation and machine learning.

[19]  Monique Grandbastien,et al.  Teaching Expertise is at the Core of ITS Research , 2000 .

[20]  F. Vázquez-Abad,et al.  TRAINING TEACHERS IN TEACHING DECISION-MAKING SKILLS , 2003 .

[21]  Spiros Sirmakessis,et al.  Mining for Web Personalization , 2008 .

[22]  Moshe Zukerman,et al.  Bridging Theory and Practice in Network Design Using Web-based Simulation , 2001 .

[23]  Maria Virvou,et al.  Adding an Instructor Modelling Component to the Architecture of ITS Authoring Tools , 2001 .

[24]  P. Ehlert.  INTELLIGENT USER INTERFACES Introduction and survey , 2003 .