Assessment makes perfect: improving student's algorithmic problem solving skills using plan-based programme understanding approach

Bey, Anis; Bensebaa, Tahar

doi:10.1504/ijil.2013.055522

Cited by 7 publications

(1 citation statement)

References 22 publications

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“…In front of this problem, this study comes in the framework of a project that aims improving learning algorithmic in UBMA University. It seeks to develop a dedicated system, based on a problem-solving learning, to combat the learner's stereotypy, passivity and logic of failure (Bey and Bensebaa, 2013;Bouacha and Bensebaa, 2015;Belhaoues et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Automatic exercise sequencing-based algorithmic skills

Abdessemed

Bensebaa

Belhaoues

et al. 2018

IJIL

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In any learning systems and especially automated assessment tools, the most common task is to evaluate the students' performance using training exercise. The selection of the next exercise is generally performed as a static set of exercises or free by students. But, it would clearly be advantageous if this exercise selection process were to be automated based on their previous performances. Therefore, the focus of this paper is the development of a method capable of determining exercise progression and sequencing during a training session based on the students' past performance. A dynamic planning of algorithmic exercises was developed based on a semantic and pedagogical description to be used in training exercise.

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Section: Introductionmentioning

confidence: 99%