@article{(Open Science Index):https://publications.waset.org/pdf/12067,
	  title     = {EASEL: Evaluation of Algorithmic Skills in an Environment Learning},
	  author    = {A. Bey and  T. Bensebaa and  H. Benselem},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper attempts to explore a new method to
improve the teaching of algorithmic for beginners. It is well known
that algorithmic is a difficult field to teach for teacher and complex to
assimilate for learner. These difficulties are due to intrinsic
characteristics of this field and to the manner that teachers (the
majority) apprehend its bases. However, in a Technology Enhanced
Learning environment (TEL), assessment, which is important and
indispensable, is the most delicate phase to implement, for all
problems that generate (noise...). Our objective registers in the
confluence of these two axes. For this purpose, EASEL focused
essentially to elaborate an assessment approach of algorithmic
competences in a TEL environment. This approach consists in
modeling an algorithmic solution according to basic and elementary
operations which let learner draw his/her own step with all autonomy
and independently to any programming language. This approach
assures a trilateral assessment: summative, formative and diagnostic
assessment.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {6},
	  year      = {2010},
	  pages     = {1041 - 1044},
	  ee        = {https://publications.waset.org/pdf/12067},
	  url   	= {https://publications.waset.org/vol/42},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 42, 2010},
	}