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Normal Superior School of Lyon, France

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2 Papers

Towards a 3D Virtual Game for Learning Object-Oriented Programming Fundamentals and C++ Language - Theoretical Considerations and Empirical Results

Topic: Game-Based and Simulation-Based Learning

Authors: Fahima Djelil ¹ , Benjamin Albouy-Kissi ¹ , Adélaïde Albouy-Kissi ¹ , Eric Sanchez ² and Jean-Marc Lavest ¹

Affiliations: ¹ Université Blaise Pascal, France , ² Ecole Normale Supérieure, France

Digital Object Identifier: 10.5220/0005475802890294

Proceedings of CSEDU 2015, ISBN: 978-989-758-108-3

Quick Abstract

Object-Oriented Programming (OOP) paradigm is one of the most common paradigm in introductory programming courses. However, novices often have difficulties to understand the basic concepts which are of a high level of abstraction. Either tangible and virtual constructive games provide the students with a more familiar way for learning programming. This paper applies a construction game metaphor approach for learning OOP concepts and C++ syntax. After introducing some tangible and virtual constructive games for learning programming, we present an experimental prototype of a new 3D virtual game for learning OOP called PrOgO as well as the results of an experiment conducted with beginner student using PrOgO.

Related Ontology Subjects/Areas/Topics (4)

Computer-Supported Education		Game-Based and Simulation-Based Learning		Learning/Teaching Methodologies and Assessment
e-Learning

ARRAY-BASED GENOME COMPARISON OF ARABIDOPSIS ECOTYPES USING HIDDEN MARKOV MODELS

Topics: Pattern Recognition; Bioinformatics

Authors: Michael Seifert ¹ , Ali Banaei ¹ , Jens Keilwagen ¹ , Michael Florian Mette ¹ , Andreas Houben ¹ , François Roudier ² , Vincent Colot ² , Ivo Grosse ³ and Marc Strickert ⁴

Affiliations: ¹ Leibniz Institute of Plant Genetics and Crop Plant Research, Germany , ² Ecole Normale Superieure, France , ³ Martin Luther University, Germany , ⁴ Institute of Plant Genetics and Crop Plant Research, Germany

Digital Object Identifier: 10.5220/0001123700030011

Proceedings of BIOSIGNALS 2009/BIOSTEC, ISBN: 978-989-8111-65-4

Quick Abstract

Arabidopsis thaliana is an important model organism in plant biology with a broad geographic distribution including ecotypes from Africa, America, Asia, and Europe. The natural variation of different ecotypes is expected to be reflected to a substantial degree in their genome sequences. Array comparative genomic hybridization ( ACGH ) can be used to quantify the natural variation of different ecotypes at the DNA level. Besides, such ACGH data provides the basics to establish a genome-wide map of DNA copy number variation for different ecotypes. Here, we present a new approach based on Hidden Markov Models (HMMs) to predict copy number variations in ACGH experiments. Using this approach, an improved genome-wide characterization of DNA segments with decreased or increased copy numbers is obtained in comparison to the routinely used segMNT algorithm. The software and the data set used in this case study can be downloaded from http://dig.ipk-gatersleben.de/HMMs/ACGH/ACGH.html.

Related Ontology Subjects/Areas/Topics (14)

Artificial Intelligence	Health Engineering and Technology Applications	Pattern Recognition
Bioinformatics	Human-Computer Interaction	Physiological Computing Systems
Biomedical Engineering	Methodologies and Methods	Sensor Networks
Biomedical Signal Processing	Neurocomputing	Soft Computing
Data Manipulation	Neurotechnology, Electronics and Informatics