June 20, 2010
June 20, 2010
June 23, 2010
15.112.1 - 15.112.17
A Web-based Bayesian van Hiele Problem Solver for Computer Programming
Computer programming teaching is often based upon the traditional lecture format. However, this methodology may not be the best way to help many students actively understand underlying concepts. This paper formulates an alternative pedagogical approach that encompasses the van Hiele Model, cognitive model, and Bayesian network to design a web-based intelligent van Hiele Problem Solver (IVHPS). The system takes full advantage of Bayesian networks (BNs), which are a formal framework for uncertainty management to provide intelligent navigation support, and to make individualized diagnosis of student solutions in learning computer programming. In addition, we describe the architecture of the system and the roles of seven modules contained in the system. They are all integrated into the environment to increase student satisfaction and achievement by stimulating student motivation and encouraging the perception of problem solving and programming concepts.
"Programming" is a complicated business. For many of the students who take programming courses, programming is a scary new subject. In his classic article on teaching programming Dijkstra1 argues that learning to program is a slow and gradual process of transforming the "novel into the familiar".
Most computing educators also find that programming is not a single skill. It is not a simple set of discrete skills; the skills form a hierarchy2, and a programmer will be using many of them at any point in time. A student faced with learning a hierarchy of skills will generally learn the lower level skills first, and will then progress upwards3. In the case of coding, even though it is a small part of the skill of programming, it implies that students will learn the basics of syntax first and then gradually move on to semantics, integrated structure, and finally style.
As complicated as programming is, computer programming teaching is often based upon the traditional lecture format. However, this methodology may not be the best way to help many students actively understand underlying concepts. This paper formulates an alternative
Chen, J. W. (2010, June), A Web Based Bayesian Van Hiele Problem Solver For Computer Programming Paper presented at 2010 Annual Conference & Exposition, Louisville, Kentucky. https://peer.asee.org/16631
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2010 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015