An eMath Teacher TOOL for ACTIVE LEARNING FLEURY'S ALGORITHM

An eMathTeacher [Sánchez-Torrubia 2007a] is an eLearning on line self assessment tool that help students to active learning math algorithms by themselves, correcting their mistakes and providing them with clues to find the right solution. The tool presented in this paper is an example of this new concept on Computer Aided Instruction (CAI) resources and has been implemented as a Java applet and designed as an auxiliary instrument for both classroom teaching and individual practicing of Fleury’s algorithm. This tool, included within a set of eMathTeacher tools, has been designed as educational complement of Graph Algorithm active learning for first course students. Its characteristics of visualization, simplicity and interactivity, make this tutorial a great value pedagogical instrument

Detailed and GlobalAnalysis of a Remedial Course's Impact on Incoming Students' Marks

Engineering incoming students are facing great difficulties to overcome first course subjects. To tackle that situation and increase the students’ success a Remedial course in Mathematics was offered to Informatics Engineering freshmen. This study presents a statistical analysis of their results comparing the marks obtained by those joining the course (studio group) versus those who did not participate (control group). ANOVA tests are performed over the students’ marks averages as well as over each subject students marks. These tests show statistically significant differences between both groups, with the studio group consistently outperforming the control group at 99% confidence level in most cases and at more than 92% confidence level in every case

A methodology for designing automatic evaluators using GLMP paradigm

Formative assessment enhances human learning processes as it provides learners wiith information about what they need to work on. To automate formative assessment, we built a general model ( GLMP) that allows the design of systems aimed at reproducing instructor's reasoning for learning assessment and generate a natural language assessment report. This paper presents a methodology for designing these automatic evaluators, highlighting the nlain points to be taken into consideration by the designer

Mamadani's Fuzzy Inference eMathTeacher: a Tutorial for Active Learning

An eMathTeacher is an eLearning on–line self–assessment tool that helps users to active learning math concepts and algorithms by themselves, correcting their mistakes and providing them with clues to find the right solution. This paper introduces an example of a new concept on Computer Aided Instruction (CAI) resources, i.e. a tutorial designed under eMathTeacher philosophy for active eLearning Mamdani’s Direct Method, and presents a brief survey on available CAI resources discussing what their influence over students’ behaviour is. It also describes the minimum and complementary requirements an eLearning tool must fulfil to be considered an eMathTeacher as well as the main contributions of this kind of tutorials to the learning processes. Needless to say that, such features as interactivity, visualization and simplicity turn these tools into great value pedagogical instruments

GLMP for automatic assessment of DFS algorithm learning

We describe how to use a Granular Linguistic Model of a Phenomenon (GLMP) to assess e-learning processes. We apply this technique to evaluate algorithm learning using the GRAPHs learning environment

PathFinder: A Visualization eMathTeacher for Actively Learning Dijstra's algorithm

PathFinder is a new eMathTeacher for actively learning Dijkstra's algorithm. In Sanchez-Torrubia et al. (2007) the concept of eMathTeacher was defined and the minimum as well as some additional requirements were described. The tool presented here is an enhanced paradigm of this new concept on Computer Aided Instruction (CAI) resources: an application designed following the eMathTeacher philosophy for active eLearning. The highlighting new feature provided by this application is an animated algorithm visualization panel showing, on the code, the current step the student is executing and/or where there is a user's mistake within the algorithm running. PathFinder also includes another two interesting new features: an active framework area for the algorithm data and the capability of saving/retrieving the created graph

EvalGRAPHs: herramienta para implementar evaluadores inteligentes. Metodología de estudio del comportamiento de los evaluadores

El Modelo Granular Lingüístico de la Evaluación del aprendizaje humano ha sido desarrollado a partir del paradigma GLMP, basado en la computación con palabras y percepciones, con el objetivo de diseñar un modelo teórico de representación del aprendizaje que pueda aplicarse a la creación de sistemas (GLMPs) que emulen la evaluación realizada por un profesor, en base a sus criterios, y expresen dicha evaluación mediante un informe en lenguaje natural. Un GLMP es una estructura jerárquica que organiza y procesa datos mediante inferencia borrosa y modela un fenómeno mediante percepciones o unidades de conocimiento. Estos sistemas utilizan como datos de entrada los generados automáticamente por un entorno de aprendizaje y producen como salida un informe de evaluación que incluye una calificación numérica. De esta manera se puede compaginar la evaluación formativa, comparando logros y objetivos de aprendizaje, que realiza un profesor, con la rapidez y eficacia de un sistema automatizado. Como aplicación del modelo general, hemos diseñado varios sistemas que evalúan, en base a criterios de un profesor, unos los quizzes de Moodle y otros las simulaciones visuales de algoritmos de grafos hechas en el entorno de aprendizaje GRAPHs