A Teacher’s Formative Assessment Perceptions and Practices in Oral Intermediate English Courses at the Université de Montréal

Au cours des dernières années, les pratiques de l’évaluation comme aide à l’apprentissage (c’est-à-dire l’auto-évaluation, l’évaluation par les pairs, la rétroaction) dans la salle de classe ont été de plus en plus considérées comme des éléments essentiels (Black & Wiliam, 1998; Harlen & Winter, 2004; van de Watering & van der Rijt, 2006). Cependant, dans le domaine de l’apprentissage d’une langue seconde la recherche sur ce sujet est plutôt limitée. En nous fondant sur les études de Colby-Kelly et Turner (2007) et de Lyster et Ranta (1997), nous avons mené une recherche exploratoire visant à combler ce besoin. L’objectif général était de comprendre comment l’évaluation formative se réalise dans deux cours d’anglais intermédiaire à l’Université de Montréal, et de comparer comment ces pratiques sont perçues et vécues par la professeure et ses étudiants. Trois questions de recherche étaient posées: 1. Quelle est la nature de l’évaluation formative dans une salle de classe d’anglais langue seconde? 2. Est-ce que les pratiques de la professeure reflètent ce qu’elle pense de l’évaluation formative? 3. Quels sont les correspondances et différences entre les croyances de la professeure et les perceptions de ses étudiants quant aux bénéfices de l’évaluation formative pour l’apprentissage de l’anglais langue seconde? La collecte de données comprend des observations en classe, des entrevues auprès de la professeure et des questionnaires pour les étudiants. Pour répondre à notre première question de recherche, nous avons analysé la rétroaction donnée par la professeure pendant une production orale réalisée par ses étudiants à partir de la typologie de feedback et de uptake de l’étude de Lyster et Ranta (1997). En ce qui a trait à la deuxième question de recherche, nous avons fait des entrevues avec la professeure en vue d’expliciter ses perceptions relativement à l’évaluation formative. À la fin du trimestre, nous avons comparé ses réponses avec sa pratique à partir des enregistrements vidéo produits en classe. Finalement, pour répondre à notre dernière question de recherche nous avons comparé les réponses données par la professeure aux entrevues avec les réponses des étudiants à un questionnaire adapté à partir de celui de Colby-Kelly et Turner. Finalement, nous présentons et discutons les résultats les plus significatifs obtenus dans cette étude qualitative Nous concluons cette thèse en proposant de avenues pour des recherches futures.

Bodies, stories, cities : learning to read and write (in) Montréal with Gail Scott

Cette lecture, tant critique, comparative, et théorique que pédagogique, s’ancre dans le constat, premièrement, qu’il advient aux étudiantEs en littérature de se (re)poser la question des coûts et complicités qu’apprendre à lire et à écrire présuppose aujourd’hui; deuxièmement, que nos pratiques littéraires se trament au sein de lieux empreints de différences, que l’on peut nommer, selon le contexte, métaphore, récit, ville; et, troisièmement, que les efforts et investissements requis sont tout autant couteux et interminable qu’un plaisir et une nécessité politique. Ces conclusions tendent vers l’abstrait et le théorique, mais le langage en lequel elles sont articulées, langage corporel et urbain, de la dépendance et de la violence, cherche d’autant plus une qualité matérielle et concrète. Or, l’introduction propose un survol des lectures et comparaisons de Heroine de Gail Scott qui centre ce projet; identifie les contextes institutionnels, historiques, et personnels qui risquent, ensuite, de décentrer celui-ci. Le premier chapitre permet de cerner le matérialisme littéraire qui me sert de méthode par laquelle la littérature, à la fois, sollicite et offre une réponse à ces interrogations théoriques. Inspirée de l’œuvre de Gail Scott et Réjean Ducharme, premièrement, et de Walter Benjamin, Elisabeth Grosz, et Pierre Macherey ensuite, ‘matérialisme’ fait référence à cette collection de figures de pratiques littéraires et urbaines qui proviennent, par exemple, de Georges Perec, Michel DeCerteau, Barbara Johnson, et Patricia Smart, et qui invitent ensuite une réflexions sur les relations entre corporalité et narrativité, entre la nécessité et la contingence du littéraire. De plus, une collection de figures d’un Montréal littéraire et d’une cité pédagogique, acquis des œuvres de Zygmunt Bauman, Partricia Godbout, et Lewis Mumford, constitue en effet un vocabulaire nous permettant de mieux découvrir (et donc enseigner) ce que lire et apprendre requiert. Le deuxième chapitre propose une lecture comparée de Heroine et des romans des auteures québécoises Anne Dandurand, Marie Gagnon, et Tess Fragoulis, dans le contexte, premièrement, les débats entourant l’institutionnalisation de la littérature (anglo)Québécoise et, deuxièmement, des questions pédagogiques et politiques plus larges et plus urgentes que nous pose, encore aujourd’hui, cette violence récurrente qui s’acharna, par exemple, sur la Polytechnique en 1989. Or, cette intersection de la violence meurtrière, la pratique littéraire, et la pédagogie qui en résulte se pose et s’articule, encore, par le biais d’une collection de figures de styles. En fait, à travers le roman de Scott et de l’œuvre critique qui en fait la lecture, une série de craques invite à reconnaître Heroine comme étant, ce que j’appelle, un récit de dépendance, au sein duquel se concrétise une temporalité récursive et une logique d’introjection nous permettant de mieux comprendre la violence et, par conséquent, le pouvoir d’une pratique littéraire sur laquelle, ensuite, j’appuie ma pédagogie en devenir. Jetant, finalement, un regard rétrospectif sur l’oeuvre dans son entier, la conclusion de ce projet se tourne aussi vers l’avant, c’est-à-dire, vers ce que mes lectures dites matérialistes de la littérature canadienne et québécoise contribuent à mon enseignement de la langue anglaise en Corée du Sud. C’est dans ce contexte que les propos de Jacques Rancière occasionnent un dernier questionnement quant à l’historique des débats et des structures pédagogiques en Corée, d’une part, et, de l’autre, les conclusions que cette lecture de la fiction théorique de Gail Scott nous livre.

Statistical Machine Learning Techniques for the Prediction of Learning Disabilities in School-Age Children

Learning Disability (LD) is a general term that describes specific kinds of learning problems. It is a neurological condition that affects a child's brain and impairs his ability to carry out one or many specific tasks. The learning disabled children are neither slow nor mentally retarded. This disorder can make it problematic for a child to learn as quickly or in the same way as some child who isn't affected by a learning disability. An affected child can have normal or above average intelligence. They may have difficulty paying attention, with reading or letter recognition, or with mathematics. It does not mean that children who have learning disabilities are less intelligent. In fact, many children who have learning disabilities are more intelligent than an average child. Learning disabilities vary from child to child. One child with LD may not have the same kind of learning problems as another child with LD. There is no cure for learning disabilities and they are life-long. However, children with LD can be high achievers and can be taught ways to get around the learning disability. In this research work, data mining using machine learning techniques are used to analyze the symptoms of LD, establish interrelationships between them and evaluate the relative importance of these symptoms. To increase the diagnostic accuracy of learning disability prediction, a knowledge based tool based on statistical machine learning or data mining techniques, with high accuracy,according to the knowledge obtained from the clinical information, is proposed. The basic idea of the developed knowledge based tool is to increase the accuracy of the learning disability assessment and reduce the time used for the same. Different statistical machine learning techniques in data mining are used in the study. Identifying the important parameters of LD prediction using the data mining techniques, identifying the hidden relationship between the symptoms of LD and estimating the relative significance of each symptoms of LD are also the parts of the objectives of this research work. The developed tool has many advantages compared to the traditional methods of using check lists in determination of learning disabilities. For improving the performance of various classifiers, we developed some preprocessing methods for the LD prediction system. A new system based on fuzzy and rough set models are also developed for LD prediction. Here also the importance of pre-processing is studied. A Graphical User Interface (GUI) is designed for developing an integrated knowledge based tool for prediction of LD as well as its degree. The designed tool stores the details of the children in the student database and retrieves their LD report as and when required. The present study undoubtedly proves the effectiveness of the tool developed based on various machine learning techniques. It also identifies the important parameters of LD and accurately predicts the learning disability in school age children. This thesis makes several major contributions in technical, general and social areas. The results are found very beneficial to the parents, teachers and the institutions. They are able to diagnose the child’s problem at an early stage and can go for the proper treatments/counseling at the correct time so as to avoid the academic and social losses.

ICT Tools for Teaching & Learning

Page 1. ICT Tools for Teaching & Learning G Santhosh Kumar Cochin University Page 2. Agenda • What is ICT? • Why integrate ICT in Education? • What are the Challenges? • What are the good resources? Page 3. Questions # “Despite the increasing use of ICT, the need for teachers is as great as ever” # “Placing ICT in schools will automatically improve the quality of education that children receive” #”The Internet is unsafe for children to use because there is so much dangerous material available on it” Page 4. What is ICT? • ICT is short for ..

Significance Of Classification Techniques In Prediction Of Learning Disabilities

The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age children. LDs affect about 10 percent of all children enrolled in schools. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Decision trees and clustering are powerful and popular tools used for classification and prediction in Data mining. Different rules extracted from the decision tree are used for prediction of learning disabilities. Clustering is the assignment of a set of observations into subsets, called clusters, which are useful in finding the different signs and symptoms (attributes) present in the LD affected child. In this paper, J48 algorithm is used for constructing the decision tree and K-means algorithm is used for creating the clusters. By applying these classification techniques, LD in any child can be identified

Attribute reduction and missing value imputing with ANN: prediction of learning disabilities

Learning disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 10% of children enrolled in schools. There is no cure for learning disabilities and they are lifelong. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Just as there are many different types of LDs, there are a variety of tests that may be done to pinpoint the problem The information gained from an evaluation is crucial for finding out how the parents and the school authorities can provide the best possible learning environment for child. This paper proposes a new approach in artificial neural network (ANN) for identifying LD in children at early stages so as to solve the problems faced by them and to get the benefits to the students, their parents and school authorities. In this study, we propose a closest fit algorithm data preprocessing with ANN classification to handle missing attribute values. This algorithm imputes the missing values in the preprocessing stage. Ignoring of missing attribute values is a common trend in all classifying algorithms. But, in this paper, we use an algorithm in a systematic approach for classification, which gives a satisfactory result in the prediction of LD. It acts as a tool for predicting the LD accurately, and good information of the child is made available to the concerned

Performance Improvement of Fuzzy and Neuro Fuzzy Systems: Prediction of Learning Disabilities in School-age Children

Learning Disability (LD) is a classification including several disorders in which a child has difficulty in learning in a typical manner, usually caused by an unknown factor or factors. LD affects about 15% of children enrolled in schools. The prediction of learning disability is a complicated task since the identification of LD from diverse features or signs is a complicated problem. There is no cure for learning disabilities and they are life-long. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. The aim of this paper is to develop a new algorithm for imputing missing values and to determine the significance of the missing value imputation method and dimensionality reduction method in the performance of fuzzy and neuro fuzzy classifiers with specific emphasis on prediction of learning disabilities in school age children. In the basic assessment method for prediction of LD, checklists are generally used and the data cases thus collected fully depends on the mood of children and may have also contain redundant as well as missing values. Therefore, in this study, we are proposing a new algorithm, viz. the correlation based new algorithm for imputing the missing values and Principal Component Analysis (PCA) for reducing the irrelevant attributes. After the study, it is found that, the preprocessing methods applied by us improves the quality of data and thereby increases the accuracy of the classifiers. The system is implemented in Math works Software Mat Lab 7.10. The results obtained from this study have illustrated that the developed missing value imputation method is very good contribution in prediction system and is capable of improving the performance of a classifier.

La incidencia de la toma de apuntes sobre el aprendizaje significativo. Un estudio de enseñanza superior.= The incidence of notetaking on meaningful learning. A study of higher education.

En este estudio presentamos una experiencia llevada a cabo con estudiantes de la asignatura “Psicología de la Educación” de diferentes centros universitarios. Tomando como marco de referencia las teorías constructivistas del aprendizaje, el objetivo de nuestro trabajo se centra en comprobar la incidencia de la utilización de diferentes estrategias de enseñanza por parte del profesor y de determinadas estrategias de aprendizaje en el proceso de registrar la información por parte de los estudiantes, en la significatividad del aprendizaje. Los resultados obtenidos muestran que en los grupos donde los profesores han utilizado estrategias de enseñanza diferentes a la clase magistral, se ha producido un cambio positivo en las respuestas de los estudiantes o se ha mantenido el mismo nivel, mientras que el grupo donde se ha utilizado una metodología magistral, el nivel de respuesta es inferior. Así mismo, hemos podido observar como los grupos de estudiantes que utilizan las estrategias de aprendizaje seleccionadas para tomar apuntes mejoran su nivel de respuestas, lo cual no se produce en el grupo control

The UK Professional Standards Framework for teaching and supporting learning in higher education

This is a part of a collection of materials developed by the HEAcademy Subject Centre for Languages, linguistics and area studies. The materials provide reflective activities designed to engage teachers with some of the key issues in working with international students and practical ideas for ways in which these can be addressed. They will be of particular interest to new staff or anyone new to working with international students.

The Challenges of didactics on scholar inclusion: specialized teachers perceptions

This study is a section of the GP-FOREESP - Formation of Human Resources and Learning in Special Education Group’s agenda. This Group is engaged in the development of researches with the intent to contribute on the process to universalize the access to school as well as on the improvement of education system that is currently available to the target population of Special Education. Nowadays, the inclusion process subject has been prioritized by that research group, as they consider that, along with other reasons, the efforts to establish an inclusive education system would be the unique alternative to solve the problem regarding the access to school, which is currently limited, and also to improve the quality on special education, since the level presented in the country is low. Guided by such premise, the present work is a supplementary project developed within the group extent to generate knowledge on school inclusion matter

Medical Evaluation Processes in Clinical settings. Qualitative Analysis through the Experience of Teachers and Studens

Evaluation processes in clinical practice have not been well, being their study focused on the technical issues concerning these processes. This study tried an approach to the evaluation processes through the analysis of perceptions from teachers and students about the methodology of evaluation considering the teachinglearning processes performed in a clinical practice of the Medicine Program –Universidad El Bosque from Bogota. With this purpose we conducted interviews with teachers and students searching the manner in which the evaluative, learning and teaching processes are done; then we analyzed the perception from both agents concerning the way these processes are related. The interviews were categorized bath deductively and inductively, and then contrasted with some current theories of learning, teaching and evaluation in medicine. The study showed that nowadays the evaluation and, in general, the educative processes are affected by several factors which are associated to the manner the professional practice is developed, and the educative process of the current teachers. We concluded there is no congrency between the approach of the evaluation, mainly conductivist, and the learning and teaching strategies mainly constructivist. This fact cause dissent in teachers and students.

Motivation, the Engine of Learning

This essay centers in motivation as a fundamental aspect of learning and in the double way sense that this relation must have. It defines the word “motivation” and the manner how relationship between students and teachers come about in the game of helping out or reduce motivation, and thus learning. It also defines the reason why teachers must help build up the so called “intrinsic motivation”, ending with the importance this has and how it can be achieved.

Uncovering CLIL : Content and Language Integrated Learning in Bilingual and Multilingual Education.

Una guía para los profesores de idiomas con diferentes metodologías y técnicas utilizadas en la enseñanza del Aprendizaje Integrado de Conocimientos Curriculares y Lengua Extranjera (AICLE). Ofrece ideas y sugerencias prácticas sobre lo que funciona en el aula, explicaciones y ejemplos de cómo utilizar AICLE en la enseñanza primaria, secundaria y profesional para contribuir a conseguir el plurilingüismo.

Games for language learning.

Edición revisada respecto de la de 1979, con la inclusión de nuevos juegos y con una nueva estructura que permite a los atareados profesores encontrar y seleccionar con facilidad las actividades más adecuadas para sus clases. Esta dividido en capítulos con ejemplos para practicar las distintas habilidades del lenguaje: hablar, escuchar, escribir y leer, así como, también, para enseñar, vocabulario, ortografía y gramática. El último capítulo se dedica solo a los juegos y sus hojas pueden fotocopiarse. Estas actividades se aplican a cualquier etapa del proceso de aprendizaje, se integran sin problemas en los cursos vigentes y los profesores pueden adaptarlas a distintos niveles.

Pictures for language learning.

Recurso que reúne más de doscientas ideas sobre cómo utilizar las imágenes para trabajar el lenguaje en distintas situaciones de aprendizaje. Las actividades pueden integrarse en todas las etapas del proceso de enseñanza de la lengua. El libro termina con consejos sobre cómo configurar una biblioteca de imágenes, cómo encontrar imágenes, cómo categorizar las imágenes y métodos de almacenamiento de la información.