Spelling suggestions: "subject:"eomputer based assessment"" "subject:"aomputer based assessment""
11 |
The Effects of Explicit Phonological Awareness Instruction on the Prereading Skills of Preschool Children At Risk for Reading Failure: Comparing Single and Multiple Skill Instructional StrategiesLovelace, Temple Sharese, Ph.D., BCBA 10 September 2008 (has links)
No description available.
|
12 |
Evaluation et entraînements informatisés de la compréhention en lecture chez des enfants et adolescents autistes sans déficience intellectuelle (HFASD) / Computer-based assessment and training of reading comprehension in children and adolescents with high-functioning autism spectrum disorder (HFASD)Auphan, Pauline 26 February 2018 (has links)
La lecture est une compétence complexe du fait de la multiplicité des processus sousjacents. Il est couramment admis une vue simple de la lecture (Simple View of Reading-SVR, Hoover & Gough, 1990) regroupant ces processus en deux composantes : l’identification de mots écrits et la compréhension. Des difficultés dans l’une, l’autre ou dans les deuxcomposantes entraineraient des difficultés pour accéder à une lecture fonctionnelle (Cain & Oakhill, 2006).Les enfants et adolescents autistes sans déficience intellectuelle (high-functioning with autism spectrum disorders – HFASD) semblent particulièrement affectés par les difficultés en lecture, notamment au niveau des processus de compréhension (Huemer & Mann, 2010). Toutefois, la présence spécifique d’un profil de faible compreneur chez les sujets HFASD ne fait pas consensus et requiert de préciser leurs performances en lecture à partir d’évaluations détaillées pour proposer ensuite des stratégies remédiatives ciblées. L’expansion des nouvelles technologies offre pour cela des perspectives prometteuses.Les thèmes de la lecture, de l’autisme et des technologies informatisées sont ainsi abordés à travers les questions de l’évaluation et de l’entrainement. D’une part, peut-on évaluer simplement mais efficacement la lecture à l’aide d’épreuves informatisées reprenant le cadre de la SVR ? Une telle évaluation peut-elle être pertinente pour comprendre lesdifficultés en lecture des élèves HFASD ? D’autre part, un entrainement informatisé ciblé sur les processus de compréhension, en situation écologique, peut-il être efficace pour remédier aux difficultés en lecture des sujets HFASD ? Comment évaluer l’efficacité et la qualité d’un outil informatisé d’entrainement des processus de compréhension ?Premièrement, un outil informatisé d’évaluation construit sur la base de l’approche SVR a été proposé à 485 élèves du CE1 à la 3ème dans le but d’identifier des profils de lecteurs. Les résultats révèlent la présence de profils de lecteurs variés avec une majorité de bons lecteurs et sept profils de lecteurs en difficultés dont quatre ne sont pas prédits par la SVR remettant ainsi en question la simplicité de cette approche pour modéliser précisément l’habileté en lecture. L’évaluation informatisée a ensuite été proposée à 22 élèves HFASD. Les résultats révèlent des profils variés avec une majorité de lecteurs ayant des difficultés pas nécessairement spécifiques aux processus de compréhension. Ces résultats semblent cohérents avec la forte hétérogénéité de l’échantillon et renvoient à l’exigence d’une évaluation basée sur un cadre de la lecture plus étendu pour ces enfants.Deuxièmement, un outil informatisé d’entrainement de la compréhension ayant fait l’objet d’une validation expérimentale a été proposé à 13 élèves HFASD du CM1 à la 3ème. Une première étude a évalué l’efficacité du logiciel à partir d’un protocole pré-test/entrainement/post-test conçu pour combiner des analyses de groupes et de cas multiples. Les résultats soulignent la nécessité d’utiliser des protocoles spécifiques aux études de cas pour cette population particulière afin de limiter l’impact de l’hétérogénéité intra-individuelle. Les conditions de mises en œuvre de cet entrainement en situation écologique sont discutées. Une dernière étude a examiné les qualités ergonomiques du logiciel d’entrainement à l’aide dequestionnaires complétés par des utilisateurs. Les réponses soulignent la simplicité d’utilisation du logiciel mais également un manque de flexibilité limitant les possibilités de l’adapter à un maximum d’utilisateurs dont les élèves HFASD. Des suggestions d’améliorations sont discutées. / Reading is a complex skill due to the multiplicity of underlying processes. A Simple View of Reading (SVR, Hoover & Gough, 1990) is commonly considered, combining these processes into two components: word reading and comprehension. Difficulties in one, the other, or both, would lead to difficulties in reaching functional reading (Cain & Oakhill, 2006).Children and adolescents with high-functioning autism spectrum disorders (HFASD) appear to be particularly affected by reading difficulties especially considering comprehension processes (Huemer & Mann, 2010). However, the presence of a specific low comprehender subtype in students with HFASD is not consensus-based and requires to clearly specifying their reading ability on the basis of a detailed assessment in order to provide targeted remediation strategies. The expansion of new technologies offers promising prospects for this.Themes of reading, autism and computerized technologies are thus addressed through the questions of assessment and training. On the one hand, can one simply and efficiently evaluate the reading using computer-based assessment that incorporates the framework of the SVR? Can such an assessment be relevant to understand the reading difficulties of subjects with HFASD? On the other hand, can computer-based training targeting comprehension processes, in an ecological situation, be effective in remedying the reading difficulties of children and adolescents with HFASD? How to evaluate the effectiveness and quality of such a computer-based training tool for comprehension?First, a computer-based assessment tool built on the basis of the SVR framework was proposed to 485 students from grade 2 to grade 9 in order to identify reader subtypes within this population. Results reveal various reader subtypes with a majority of good readers and seven subtypes of readers with difficulties. Four of those seven are not predicted by the SVRthus questioning the simplicity of this framework to accurately model reading skills. The computer-based assessment was then proposed to 22 children and adolescent with HFASD. Results reveal varied subtypes with a majority of readers experiencing difficulties not necessarily specific to comprehension processes. These results seem consistent with thestrong heterogeneity of the sample and call for the need to provide an assessment based on a wider reading framework for these children.Secondly, a computer-based training tool for comprehension was proposed to 13 HFASD students from grade 1 to grade 3. This tool has already been validated experimentally with typically developing children and adolescents exhibiting specific low comprehender subtype. A first study investigated the effectiveness of the software from a pretest/training/post-test protocol designed to combine group and case study analyzes. The results emphasize the need to use protocols specific to case study for this particular population in order to limit the impact of intra-individual heterogeneity. The conditions for implementing this training in an ecological situation are discussed. A final study examined the ergonomic qualities of the training tool using questionnaires completed by users. Answers emphasize the tool’s simplicity of use but also a lack of flexibility limiting the possibilities to adapt it to a maximum of users of which the subjects with HFASD. Suggestions for improvements are discussed.
|
13 |
Real-time Assessment, Prediction, and Scaffolding of Middle School Students’ Data Collection Skills within Physical Science SimulationsSao Pedro, Michael A. 25 April 2013 (has links)
Despite widespread recognition by science educators, researchers and K-12 frameworks that scientific inquiry should be an essential part of science education, typical classrooms and assessments still emphasize rote vocabulary, facts, and formulas. One of several reasons for this is that the rigorous assessment of complex inquiry skills is still in its infancy. Though progress has been made, there are still many challenges that hinder inquiry from being assessed in a meaningful, scalable, reliable and timely manner. To address some of these challenges and to realize the possibility of formative assessment of inquiry, we describe a novel approach for evaluating, tracking, and scaffolding inquiry process skills. These skills are demonstrated as students experiment with computer-based simulations. In this work, we focus on two skills related to data collection, designing controlled experiments and testing stated hypotheses. Central to this approach is the use and extension of techniques developed in the Intelligent Tutoring Systems and Educational Data Mining communities to handle the variety of ways in which students can demonstrate skills. To evaluate students' skills, we iteratively developed data-mined models (detectors) that can discern when students test their articulated hypotheses and design controlled experiments. To aggregate and track students' developing latent skill across activities, we use and extend the Bayesian Knowledge-Tracing framework (Corbett & Anderson, 1995). As part of this work, we directly address the scalability and reliability of these models' predictions because we tested how well they predict for student data not used to build them. When doing so, we found that these models demonstrate the potential to scale because they can correctly evaluate and track students' inquiry skills. The ability to evaluate students' inquiry also enables the system to provide automated, individualized feedback to students as they experiment. As part of this work, we also describe an approach to provide such scaffolding to students. We also tested the efficacy of these scaffolds by conducting a study to determine how scaffolding impacts acquisition and transfer of skill across science topics. When doing so, we found that students who received scaffolding versus students who did not were better able to acquire skills in the topic in which they practiced, and also transfer skills to a second topic when was scaffolding removed. Our overall findings suggest that computer-based simulations augmented with real-time feedback can be used to reliably measure the inquiry skills of interest and can help students learn how to demonstrate these skills. As such, our assessment approach and system as a whole shows promise as a way to formatively assess students' inquiry.
|
14 |
Real-time Assessment, Prediction, and Scaffolding of Middle School Students’ Data Collection Skills within Physical Science SimulationsSao Pedro, Michael A. 25 April 2013 (has links)
Despite widespread recognition by science educators, researchers and K-12 frameworks that scientific inquiry should be an essential part of science education, typical classrooms and assessments still emphasize rote vocabulary, facts, and formulas. One of several reasons for this is that the rigorous assessment of complex inquiry skills is still in its infancy. Though progress has been made, there are still many challenges that hinder inquiry from being assessed in a meaningful, scalable, reliable and timely manner. To address some of these challenges and to realize the possibility of formative assessment of inquiry, we describe a novel approach for evaluating, tracking, and scaffolding inquiry process skills. These skills are demonstrated as students experiment with computer-based simulations. In this work, we focus on two skills related to data collection, designing controlled experiments and testing stated hypotheses. Central to this approach is the use and extension of techniques developed in the Intelligent Tutoring Systems and Educational Data Mining communities to handle the variety of ways in which students can demonstrate skills. To evaluate students' skills, we iteratively developed data-mined models (detectors) that can discern when students test their articulated hypotheses and design controlled experiments. To aggregate and track students' developing latent skill across activities, we use and extend the Bayesian Knowledge-Tracing framework (Corbett & Anderson, 1995). As part of this work, we directly address the scalability and reliability of these models' predictions because we tested how well they predict for student data not used to build them. When doing so, we found that these models demonstrate the potential to scale because they can correctly evaluate and track students' inquiry skills. The ability to evaluate students' inquiry also enables the system to provide automated, individualized feedback to students as they experiment. As part of this work, we also describe an approach to provide such scaffolding to students. We also tested the efficacy of these scaffolds by conducting a study to determine how scaffolding impacts acquisition and transfer of skill across science topics. When doing so, we found that students who received scaffolding versus students who did not were better able to acquire skills in the topic in which they practiced, and also transfer skills to a second topic when was scaffolding removed. Our overall findings suggest that computer-based simulations augmented with real-time feedback can be used to reliably measure the inquiry skills of interest and can help students learn how to demonstrate these skills. As such, our assessment approach and system as a whole shows promise as a way to formatively assess students' inquiry.
|
Page generated in 0.3101 seconds