Applying Computer-Aided Intelligent Assessment in the Context of Mathematical Induction

Intelligent Assessment represents a novel approach in the field of Computer-Aided Assessment (CAA). In Intelligent Assessment, the student’s performance is not only assessed by the solution but also by the individual steps leading to the solution. The web-based exercise tool ComIn-M uses Intelligent Assessment in the context of mathematical induction. In this article we describe the basic principles of Intelligent Assessmentand highlight its prototypical implementation using the tool ComIn-M as an example. In the evaluation we investigate the practicality of Intelligent Assessment with the tool in two recitation sections at the Universities of Education in Weingarten and Ludwigsburg.

[1]  Anne McDougall,et al.  Researching IT in Education: Theory, Practice and Future Directions , 2010 .

[2]  Xiufeng Liu,et al.  Assessment for Learning and Teaching , 2010 .

[3]  Sally Brown,et al.  Assessment for Learning , 2005 .

[4]  Ulrik Schroeder,et al.  Feedback mit einem webbasierten Übungsbetrieb , 2009, DeLFI.

[5]  Christian Spannagel,et al.  Design Patterns for the Use of Technology in Introductory Mathematics Tutorials , 2009, WCCE.

[6]  Derek Allan Holton,et al.  The teaching and learning of mathematics at university level : an ICMI study , 2001 .

[7]  Marc Zimmermann,et al.  Entwicklung eines Frameworks für semi-automatisches Feedback zur Unterstützung bei Lernprozessen , 2010, DeLFI.

[8]  Light Greg,et al.  Learning and teaching in higher education , 2001 .

[9]  Ulrich Kortenkamp,et al.  E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study , 2012 .

[10]  Harvey Mellar,et al.  Practical Design Patterns for Teaching and Learning with Technology , 2014 .

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

[12]  Daniel Herding,et al.  Pattern: Hint on Demand , 2014 .

[13]  J. Gregory Trafton,et al.  Effective Tutoring Techniques: A Comparison of Human Tutors and Intelligent Tutoring Systems , 1992 .

[14]  Jochen Prümper,et al.  Der Benutzungsfragebogen ISONORM 9241/10: Ergebnisse zur Reliabilität und Validität , 1997, Software-Ergonomie.

[15]  Arthur Tatnall,et al.  Education and Technology for a Better World, 9th IFIP TC 3 World Conference on Computers in Education, WCCE 2009, Bento Gonçalves, Brazil, July 27-31, 2009. Proceedings , 2009, WCCE.

[16]  Kinshuk,et al.  Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers , 2011 .

[17]  Claus Zinn,et al.  Generating Tutorial Feedback with Affect , 2004, FLAIRS.