Dissertations / Theses on the topic 'Learning environment'
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Fan, Guoqing 1969. "Learning environment assessment." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/65994.
Full textIncludes bibliographical references (leaves 53-54).
This thesis introduces a rationale and a set of methods for assessing the performance of learning environments. The vehicle of this study is the assessment project of the new teaching laboratory of the MIT Department of Aeronautics and Astronautics. Learning environments are settings that support teaching and learning activities. The objective of developing and managing learning environments is to achieve a dynamic coherence among space, equipment, tools, and operation of the learning environment so as to maximize the learning outcome. The method of learning environment assessment is to identify latent problems and explore opportunities and processes of improving its performance. To assess the performance of the learning environment, this thesis proposes that the learning environment should be examined through three lenses: teaching and learning activities, settings, and students' individual lives. Methods of examining learning environments through these three lenses are introduced in this thesis in the context of the MIT Aero/ Astro new teaching laboratory assessment.
by Guoqing Fan.
M.Arch.
Tarasova, H. S., and O. V. Shakhmatova. "Flipped learning as interactive learning environment." Thesis, Інститут інноваційної освіти, 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/41237.
Full textGebbels, Susan. "Promoting citizenship and environmental learning in the marine environment." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2298.
Full textVeneri, Brittney. "Classroom environment : the classroom environment's effect on student learning /." Lynchburg, VA : Liberty University, 2007. http://digitalcommons.liberty.edu.
Full textEvanshen, Pamela. "Enhancing the Learning Environment." Digital Commons @ East Tennessee State University, 2004. https://dc.etsu.edu/etsu-works/4417.
Full textYahaya, Ros Aizan. "Immersive virtual reality learning environment : learning decision-making skills in a virtual reality-enhanced learning environment." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16489/.
Full textYahaya, Ros. "Immersive virtual reality learning environment : learning decision-making skills in a virtual reality-enhanced learning environment." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16489/1/Roy_Yahaya_Thesis.pdf.
Full textJohnson, Michelle E. "The Teaching and Learning Environment: The Eating Environment." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etsu-works/8550.
Full textAlsubaei, Mutlag. "Creating a personalised learning environment using learning objects." Thesis, University of Salford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491030.
Full textGebara, Tammy Teresa. "Comparing A Blended Learning Environment To A Distance Learning Environment For Teaching A Learning And Motivation Strategies Course." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274276353.
Full textCalway, Bruce Alexander, and mikewood@deakin edu au. "Rethinking a learning environment strategy." Deakin University. School of Educatrion, 2005. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20060914.151947.
Full textAlharbi, Mafawez. "Context-aware Personal Learning Environment." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/10102.
Full textHolmes, Natasha Grace. "The invention support environment : using metacognitive scaffolding and interactive learning environments to improve learning from invention." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37904.
Full textGreenwood-Ericksen, Adams. "LEARNING AFRICAN-AMERICAN HISTORY IN A SYNTHETIC LEARNING ENVIRONMENT." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3350.
Full textPh.D.
Department of Psychology
Sciences
Psychology PhD
Moafipoor, Shahram, Lydia Bock, Jeffrey A. Fayman, Gerry Mader, and Michael Strong. "Collaborative Environment Learning: The Key to Localization of Soldiers in Urban Environments." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606113.
Full textSeveral navigation technologies exist, which can facilitate the generation of Time Space Positioning Information (TSPI) in urban environments. These include GPS, image-based localization, radio-based localization and dead reckoning. This paper first presents a basic overview of these techniques including advantages and limitations of each. We present an approach to localization in urban environments, based on environment learning and collaborative navigation using multiple homogeneous and non-homogeneous localization technologies, fused to form a multi-sensor system.
Sperlich, Juntana Ginda. "Designing a brain-based learning environment." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3216.
Full textSkelton, David J. E. "An investigation into the learning environments of blended delivery (e-learning and classroom) in a tertiary environment." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/555.
Full textSkelton, David J. E. "An investigation into the learning environments of blended delivery (e-learning and classroom) in a tertiary environment." Curtin University of Technology, Science and Mathematics Education Centre, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=18577.
Full textAndrade-Cetto, Juan. "Environment learning for indoor mobile robots." Doctoral thesis, Universitat Politècnica de Catalunya, 2003. http://hdl.handle.net/10803/6185.
Full textS'estudien els fonaments matemàtics necessaris per a l'extracció de característiques a partir d'imatges i registres d'un làser, els quals permeten la identificació unívoca dels elements de l'entorn. Els atributs extrets a partir del senyal d'un sol sensor poden ser insuficients quan es volen caracteritzar els elements de l'entorn de forma invariant; això es pot millorar combinant informació de múltiples fonts. Es presenta un nou algorisme per la fusió d'informació complementaria extreta de dos mòduls de visió de baix nivell.
Aquesta fusió d'informació produeix descripcions més completes dels objectes de l'entorn, els quals poden ser seguits i apresos dins el context de la robòtica mòbil. Les variacions en les condicions d'il·luminació i les oclusions fan que l'associació de dades en visió per computador sigui una tasca difícil de completar.
Tot i això, l'ús de restriccions geomètriques i fotogramètriques permeten reduir la cerca de correspondències entre imatges successives; i al centrar l'atenció en un reduït nombre de característiques, aquestes poden ser seguides en imatges successives, simplificant així el problema d'associació de dades. Es recalquen les tècniques de la geometria de múltiples vistes que són rellevants pel còmput d'una estimació inicial de la posició dels elements de l'entorn, el que permet la reconstrucció del moviment del robot entre imatges successives; situació desitjable quan no existeix odometria o quan las seves lectures són poc fiables.
Quan els elements de l'entorn s'han extret i identificat, la segona part del problema consisteix en utilitzar aquestes observacions tant per estimar la posició del robot, com per refinar l'estimació dels mateixos elements de l'entorn. El moviment del robot i les lectures dels sensors es consideren com dos processos estocàstics, i el problema es tracta des del punt de vista de la teoria d'estimació, on el soroll inherent als sensors i al moviment del robot es consideren com a seqüències aleatòries.
El principal inconvenient existent en l'ús de tècniques d'estimació pel còmput concurrent de la posició del robot i la construcció d'un mapa, és que fins ara s'ha considerat la seva aplicació únicament en entorns estàtics, i que el seu ús en situacions més realistes ofereix poca robustesa. Es proposa un conjunt de funcions per avaluar la qualitat temporal de les observacions per tal de resoldre les situacions en que les observacions dels elements de l'entorn no siguin consistents en el temps. Es mostra com la utilització d'aquestes proves de qualitat temporal conjuntament amb les proves de compatibilitat espacial milloren els resultats quan es fen servir amb un mètode d'estimació òptima de la construcció concurrent de mapes i l'autolocalització de robots.
La idea principal consisteix en emprar un històric dels errors en l'associació de les dades per calcular la possibilitat d'incórrer en nous errors d'associació; i excloure del mapa aquells elements dels quals les observacions no siguin consistents.
Es posa especial atenció en el fet que l'eliminació dels elements inconsistents del mapa no violi les propietats dels algorismes de construcció concurrent de mapes i autolocalització descrits en la literatura; és a dir, convergència assimptòtica i correlació completa.
Aquesta tesi proporciona també un profund anàlisi del model de construcció concurrent de mapes i autolocalització totalment correlat des d'un punt de vista de la teoria de control de sistemes. Partint del fet que el filtre de Kalman no és més que un estimador òptim, s'analitzen les implicacions de tenir un vector d'estats que es revisa a partir de mesures totalment correladas.
Es revela de manera teòrica i amb experiments les limitacions d'utilitzar un enfocament per la construcció concurrent de mapes i l'autolocalització a partir de mesures totalment correladas.
El fet de tenir un model parcialment observable inhibeix la reconstrucció total de l'espai d'estats, produint tant mateix una estimació de la posició dels elements de l'entorn que depèn en tot cas de les observacions inicials, i que no garanteix la convergència a una matriu de covariància definida positivament.
D'altra banda, el fet de tenir un vector d'estats parcialment controlable fa que, desprès d'un reduït nombre d'iteracions el filtre cregui tenir una estimació perfecta de l'estat dels elements de l'entorn; amb els corresponents guanys de Kalman convergint a zero. Per tant, desprès d'un reduït nombre d'iteracions del filtre, els innovacions no s'utilitzen més. Es mostra com reduir els efectes de la correlació total i de la controlabilitat parcial. A més a més, suposant que el filtre de Kalman és un observador òptim per a la reconstrucció dels estats, és pertinent construir un regulador òptim que permeti conduir el robot el més a prop possible a una trajectòria desitjada durant la construcció d'un mapa. Es mostra com la dualitat existent entre l'observabilitat i la controlabilitat es pot fer servir en el disseny d'aquest regulador òptim.
Qualsevol algorisme de construcció concurrent de mapes i autolocalització de robots mòbils que s'ha d'usar en un entorn real ha de ser capaç de relacionar les observacions i els seus corresponents elements del mapa de manera expedita. Algunes de les proves de compatibilitat de les observacions són costoses des del punt de vista de la seva complexitat computacional, i la seva aplicació s'ha de dissenyar amb especial atenció. Es comenten els costos computacionals de les diferents proves de compatibilitat entre observacions; així com altres característiques desitjables de l'estructura de dades que es fa servir per a la construcció del mapa. A més a més es proposen una sèrie de tasques que han de realitzar-se durant l'associació de dades. Començant per les proves de compatibilitat amb un model bàsic dels elements del mapa, i continuant amb la reducció de l'espai de cerca quan es generen hipòtesis d'associació, així com les proves espacial i temporal d'associació de dades.
El treball que es presenta en aquesta tesi proposa noves tècniques en àrees de l'enginyera i ciències computacionals, que van des de nous algorismes per la visió per computador, a idees novells de la construcció concurrent de mapes i l'autolocalització de robots mòbils. Les contribucions principals són la proposta d'una nova tècnica per la fusió de dades visuals; la formulació d'un nou algorisme per la construcció concurrent de mapes i l'autolocalització de robots que considera la qualitat temporal dels elements del mapa; nous resultats teòrics en el nivell de reconstrucció possible quan es construeixen mapes a partir d'observacions totalment correladas; i les tècniques necessàries per pal·liar els efectes de l'observabilitat i la controlabilitat parcials, així com els efectes de les no linealitats en la solució del problema de construcció concurrent de mapes i de l'autolocalització.
Esta tesis aborda el problema del aprendizaje automático de entornos estructurados en robótica móvil. Particularmente, la extracción de características a partir de las se nales de los censores, la construcción autónoma de mapas, y la autolocalización de robots.
Se estudian los fundamentos matemáticos necesarios para la extracción de características a partir de imágenes y registros de un láser, las cuales permiten la identificación unívoca de los elementos del entorno. Los atributos extraídos a partir de la se nal de un solo sensor pueden ser insuficientes a la hora de caracterizar los elementos del entorno de forma invariante; lo que conlleva a la combinación de información de múltiples fuentes. Se presenta un nuevo algoritmo para la fusión de información complementaria extraída de dos módulos de visión de bajo nivel. Esta fusión de información produce descripciones más completas de los objetos presentes en el entorno, los cuales pueden ser seguidos y aprendidos en el contexto de la robótica móvil.
Las variaciones en las condiciones de iluminación y las oclusiones hacen que la asociación de datos en visión por computador sea una tarea difícil de llevar a cabo. Sin embargo, el uso de restricciones geométricas y fotogramétricas permiten reducir la búsqueda de correspondencias entre imágenes; y al centrar la atención en un reducido número de características, estas pueden ser seguidas en imágenes sucesivas, simplificando así el problema de asociación de datos. Se hace hincapié en las técnicas de la geometría de múltiples vistas relevantes para el cómputo de una estimación inicial de la posición de los elementos del entorno, lo cual permite la reconstrucción del movimiento
del robot entre imágenes sucesivas; situación deseable cuando se carece de odometría o cuando sus lecturas son poco fiables.
Una vez que los elementos del entorno han sido extraídos e identificados, la segunda parte del problema consiste en usar estas observaciones tanto para estimar la posición del robot, como para refinar la estimación de los mismos elementos del entorno. El movimiento del robot y las lecturas de los sensores se consideran como dos procesos estocásticos, y el problema se aborda desde el punto de vista de la teoría de estimación, en donde el ruido inherente a los sensores y al movimiento del robot se consideran como secuencias aleatorias.
La principal desventaja existente en el uso de técnicas de estimación para el cómputo concurrente de la posición del robot y la construcción de un mapa, es que hasta ahora se ha considerado su uso en entornos estáticos únicamente, y que su aplicación en situaciones más realistas carece de robustez.
Se propone un conjunto de funciones para evaluar la calidad temporal de las observaciones con el fin de solventar aquellas situaciones en que las observaciones de los elementos del entorno no sean consistentes en el tiempo.
Se muestra como el uso de estas pruebas de calidad temporal junto con las pruebas de compatibilidad espacial existentes mejora los resultados al usar un método de estimación óptima para la construcción concurrente de mapas y la autolocalización de robots. La idea principal consiste en usar un histórico
de los errores en la asociación de datos para el cómputo de la posibilidad de incurrir en nuevos errores de asociación; y eliminar del mapa aquellos elementos cuyas observaciones no sean consistentes.
Se presta especial atención a que la eliminación de elementos inconsistentes del mapa no viole las propiedades de los algoritmos de construcción concurrente de mapas y autolocalización descritos en la literatura; es decir, convergencia asintótica y correlación completa.
Esta tesis proporciona a su vez un análisis en profundidad del modelo de construcción concurrente de mapas y autolocalización totalmente correlado desde un punto de vista de la teoría de control de sistemas. Partiendo del hecho de que el filtro de Kalman no es otra cosa que un estimador óptimo, se analizan las implicaciones de tener un vector de estados que se revisa a partir de mediciones totalmente correladas. Se revela de forma teórica y con experimentos las limitaciones de usar un enfoque para la construcción concurrente de mapas y autolocalización a partir de mediciones totalmente correladas.
El hecho de tener un modelo parcialmente observable inhibe la reconstrucción total del espacio de estados, produciendo a su vez una estimación de la posición de los elementos del entorno que dependerá en todo caso de las observaciones iniciales, y que no garantiza la convergencia a una matriz de covarianza positivamente definida. Por otro lado, el hecho de tener un vector de estados parcialmente controlable, produce después de un reducido número de iteraciones que el filtro crea tener una estimación perfecta del estado de los elementos del entorno; con sus correspondientes ganancias de Kalman convergiendo a cero. Esto es, después de un peque no número de iteraciones del filtro, las innovaciones no se usan. Se muestra como reducir los efectos de la correlación total y la controlabilidad parcial. Además, dado que el filtro de Kalman es un observador óptimo para la reconstrucción de los estados, es pertinente construir un regulador óptimo que permita conducir al robot lo más cerca posible de una trayectoria deseada durante la construcción de un mapa. Se muestra como la dualidad existente entre la observabilidad y la controlabilidad se puede emplear en el diseño de este regulador óptimo.
Cualquier algoritmo de construcción concurrente de mapas y autolocalización de robots móviles que deba funcionar en un entorno real deberá ser capaz de relacionar las observaciones y sus correspondientes elementos del mapa de manera expedita. Algunas de las pruebas de compatibilidad de las observaciones son caras desde el punto de vista de su complejidad computacional, y su aplicación debe diseñarse con riguroso cuidado. Se comentan los costes computacionales de las distintas pruebas de compatibilidad entre observaciones; así como otras características deseadas de la estructura de datos elegida para la construcción del mapa. Además, se propone una serie de tareas que debe llevarse a cabo durante la asociación de datos. Partiendo por las pruebas de compatibilidad con un modelo básico de los elementos del mapa, y continuando con la reducción del espacio de búsqueda al generar hipótesis de asociación, así como las pruebas espacial y temporal de asociación de datos.
El trabajo que se presenta en esta tesis propone nuevas técnicas en áreas de la ingeniería y las ciencias computacionales, que van desde nuevos algoritmos de visión por computador, a ideas noveles en la construcción concurrente de mapas y la autolocalización de robots móviles. Las contribuciones principales son la propuesta de una nueva técnica para la fusión de datos visuales; la formulación de un nuevo algoritmo para la construcción concurrente de mapas y autolocalización de robots que toma en cuenta la calidad temporal de los elementos del mapa; nuevos resultados teóricos en el grado de reconstrucción posible al construir mapas a partir de observaciones totalmente correladas; y las técnicas necesarias para paliar los efectos de la observabilidad y controlabilidad parciales, así como los efectos de las no linealidades en la solución del problema de construcción concurrente de mapas y autolocalización.
This thesis focuses on the various aspects of autonomous environment learning for indoor service robots. Particularly, on landmark extraction from sensor data, autonomous map building, and robot localization.
To univocally identify landmarks from sensor data, we study several landmark representations, and the mathematical foundation necessary to extract the features that build them from images and laser range data. The features extracted from just one sensor may not suce in the invariant characterization of landmarks and objects, pushing for the combination of information from multiple sources. We present a new algorithm that fuses complementary information from two low level vision modules into coherent object models that can be tracked and learned in a mobile robotics context. Illumination conditions and occlusions are the most prominent artifacts
that hinder data association in computer vision. By using photogrammetric and geometric constraints we restrict the search for landmark matches in successive images, and by locking our interest in one or a set of landmarks in the scene, we track those landmarks along successive frames, reducing considerably the data association problem. We concentrate on those tools from the geometry of multiple views that are relevant to the computation of initial landmark location estimates for coarse motion recovery; a desirable characteristic when odometry is not available or is highly unreliable.
Once landmarks are accurately extracted and identied, the second part of the problem is to use these observations for the localization of the robot, as well as the renement of the landmark location estimates. We consider robot motion and sensor observations as stochastic processes, and treat the problem from an estimation theoretic point of view, dealing with noise by using probabilistic methods.
The main drawback we encounter is that current estimation techniques have been devised for static environments, and that they lack robustness in more realistic situations. To aid in those situations in which landmark observations might not be consistent in time, we propose a new set of temporal landmark quality functions, and show how by incorporating these functions in the data association tests, the overall estimation-theoretic approach to map building and localization is improved. The basic idea consists on using the history of data association mismatches for the computation of the likelihood of future data association, together with the spatial compatibility tests already available.
Special attention is paid in that the removal of spurious landmarks from the map does not violate the basic convergence properties of the localization and map building algorithms already described in the literature; namely, asymptotic convergence and full correlation.
The thesis also gives an in depth analysis of the fully correlated model to localization and map building from a control systems theory point of view. Considering the fact that the Kalman .lter is nothing else but an optimal observer, we analyze the implications of having a state vector that is being revised by fully correlated noise measurements. We end up revealing
theoretically and with experiments the strong limitations of using a fully correlated noise driven estimation theoretic approach to map building and localization in relation to the total number of landmarks used.
Partial observability hinders full reconstructibility of the state space, making the .nal map estimate dependant on the initial observations, and does not guarantee convergence to a positive de nite covariance matrix. Partial controllability on the other hand, makes the .lter beleive after a number of iterations, that it has accurate estimates of the landmark states, with their corresponding Kalman gains converging to zero. That is, after a few steps, innovations are useless. We show how to palliate the e.ects of full correlation
and partial controllability. Furthermore, given that the Kalman .lter is an optimal observer for the reconstruction of fully correlated states; it seems pertinent to build an optimal regulator in order to keep the robot as close as possible to a desired motion path when building a map. We show also how the duality between observability and controllability can be exploited in designing such an optimal regulator.
Any map building and localization algorithm for mobile robotics that is to work in real time must be able to relate observations and model matches in an expeditious way. Some of the landmark compatibility tests are computationally expensive, and their application has to be carefully designed. We touch upon the time complexity issues of the various landmark compatibility tests used, and also on the desirable properties of our chosen map data structure.
Furthermore, we propose a series of tasks that must be handled when dealing with landmark data association. From model compatibility tests, to search space reduction and hypothesis formation, to the actual association of observations and models.
The work presented in this thesis spans several areas of engineering and computer science, from new computer vision algorithms, to novel ideas in mobile robot localization and map building. The key contributions are the proposal of a new technique to fuse visual data; the formulation of new algorithms to concurrent localization and map building that take into account temporal landmark quality; new theoretical results on the degree of reconstruction possible when building maps from fully correlated observations; and the necessary techniques to palliate partial observability, partial controllability, and the nonlinear e.ects when solving the simultaneous localization and map building problem.
Loria, Enrica. "Collaborative learning in a simulated environment." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12550.
Full textZhu, Junren 1965. "The design of asynchronous learning environment /." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31565.
Full textResearch results have found that success factors for asynchronous learning include whether students felt part of the online learning group, immediate feedback from instructors, automatic self-test, and indicating student's performance and progress in the course. These findings present basic requirement for the design of ALE. This paper explores all aspects of Asynchronous Learning Environment, including the architecture of ALE and complete database design. The modules of ALE include multimedia presentation, identity verification, intelligent agent, automatic test marking, computer conference, chat & whiteboard, and learning scheduling assistance. The purpose of this research is to make ALE a better way of education than traditional education. A database is designed to fully support these ALE functions.
Guidelines of designing ALE are provided with implementation examples of intelligent agents that providing automatic reminders and learning progress report. Conclusion and further works are discussed at the end of the paper.
The design described in this paper is intended for use by engineering courses. But it can be used by courses of other disciplines without much modification.
Paterson, Patricia Ann. "Learning in a computer mediated environment." Thesis, University of Portsmouth, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306946.
Full textShavit, Yonadav Goldwasser. "Learning environment simulators from sparse signals." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113442.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 83-85).
To allow planning in novel environments that have not been mapped out by hand, we need ways of learning environment models. While conventional work has focused on video prediction as a means for environment learning, this work instead seeks to learn from much sparser signals, like the agent's reward. In Chapter 1, we establish a taxonomy of environments and the attributes that make them easier or harder to model through learning. In Chapter 2, we review prior work in the field of environment learning. In Chapter 3, we propose a model-learning architecture based purely on reward prediction, and analyze its performance on illustrative problems. Finally, in Chapter 4, we propose and evaluate a model-learning architecture that uses both reward and sparse "features" extracted from the environment.
by Yonadav Goldwasser Shavit.
M. Eng.
Costello, Robert. "Adaptive intelligent personalised learning (AIPL) environment." Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:6251.
Full textTsui, Sin Mei. "Statistical Learning in a Bilingual Environment." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38048.
Full textMaddox, Winston H. "Adapting to a Virtual Learning Environment." Antioch University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1429557429.
Full textLee, Saebyul. "Learning Abstract Numbers in Concrete Environment." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1482751226985893.
Full textConway, Jason Allen. "Connecting Cooperative Learning to Classroom Environment." Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/151001.
Full textEd.D.
The purpose of this multiple site case study was to determine whether implementing the cooperative learning element of structuring student interactions is a possible contributing solution to student disenfranchisement and lack of social skills. This study explored student and teacher attitudes and perceptions, in seven separate secondary social studies classrooms, regarding their classroom environment before and after an intervention that trains teachers on how to implement four structured student interactions focused on class building and teambuilding. This study is in response to the diagnosis of educational administrators and classroom teachers facing challenges in building positive school and classroom environments. The lack of social skills and the inability to work well with each other diminishes the opportunities for the creation of positive school and classroom environments. As a result, students may become disenfranchised, evidenced by dropout rates and the disinterest in activities provided in the classroom. The study consisted of case study methodology using surveys, interviews, focus group sessions, lesson plans, teacher journals and classroom observations to document the story of the possible impact of implementing structured student interactions. The study revealed that it was inconclusive whether the intervention strategies had an overall positive or negative effect in the perceptions of engagement, interdependence, accountability and equity. Despite the conclusion, the data provide several opportunities for discussion within the areas of classroom environment, instructional leadership, instructional coaching, implementation fidelity of new strategies and teacher self-study of practice.
Temple University--Theses
Shamsapour, Ali A. "HyperCard-based learning environment for DIADES." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/4128.
Full textLal, Mithun. "Synthetic environment for machine learning experiments." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/236035/2/Mithun%2BLal%2BThesis%282%29.pdf.
Full textJahnigen, Charles J. "The integrated environment an updated approach to the montessori learning environment /." Cincinnati, Ohio : University of Cincinnati, 2006. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1147898930.
Full textTitle from electronic thesis title page (viewed July 24, 2006). Includes abstract. Keywords: Montessori Architecture; Sustainable Architecture; High Performance Schools; High Performance Facilities; Educational Architecture. Includes bibliographical references.
JAHNIGEN, CHARLES J. "THE INTEGRATED ENVIRONMENT: AN UPDATED APPROACH TO THE MONTESSORI LEARNING ENVIRONMENT." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1147898930.
Full textWallace, Glenda Patricia. "Exploration of learning techniques and environment with the learning disabled." Thesis, University of Leeds, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403035.
Full textHeinrichs, Glen Arthur. "The effect on humour on learning and the learning environment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0020/MQ49186.pdf.
Full textLindfors, J. (Juha). "A modern learning environment for Control Engineering." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:951426911X.
Full textPeker, Ender. "Campus As An Integrated Learning Environment: Learning In Campus Open Spaces." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612496/index.pdf.
Full textinformal learning&rsquo
. Therewithal, campus open spaces are one of the major areas where students prefer for their informal learning experiences. This thesis aims to search the influence of campus open space design on students&rsquo
learning experiences. Additionally, it argues that there is a strong relation between the learning and the space where learning action occurs. In doing this, it both covers a theoretical framework and a case study. Within the theoretical part, it discusses various learning theories with respect to the prominent principles for each theory. It reveals learning space design indicators which affects learning both in indoor and outdoor learning environments. In the case study, with the analysis of different sample areas from METU campus, the study both investigates the learning experiences actualized on campus open spaces and the triggering design indicators which enhance these experiences.
Fok, Po-yan, and 霍寶欣. "Can a constructivist learning environment enhance a deep approach to learning?" Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31962956.
Full textMiller, Thomas E. "A Computerized Learning Environment For Exploring Learning Strategies with Immunohematology Students /." The Ohio State University, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487868114114174.
Full textFok, Po-yan. "Can a constructivist learning environment enhance a deep approach to learning?" Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B26232789.
Full textCicconi, Sergio. "Augmented learning: the development of a learning environment in augmented reality." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/277674.
Full textCicconi, Sergio. "Augmented learning: the development of a learning environment in augmented reality." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/277674.
Full textLEONE, SABRINA. "Characterization of a personal learning environment as a lifelong learning tool." Doctoral thesis, Università Politecnica delle Marche, 2012. http://hdl.handle.net/11566/242047.
Full textOver the last years, increasing attention has been paid to Personal Learning Environments (PLEs) as an effective framework for lifelong learners, and to the need for a smooth integration of formal and informal learning. A wider and wider range of open source and free learning applications on the web are offering lifelong learners powerful tools to construct and characterise their own PLEs. Technologically speaking, this change of perspective manifests in a learning web where information is distributed across sites. However, knowledge management becomes an issue, and personalisation requires the support of semantics applied to social components. This thesis focuses on the characterisation of adult lifelong learners’ PLEs by implicit and explicit tools of personalisation. The synergy of formal and informal learning in the dynamic construction of a lifelong learner’s PLE has been explored. The SSW4LL (Social Semantic Web for Lifelong Learners) format has been devised, and the SSW4LL system, built on Moodle 2.0 integrated with an adaptive mechanism (conditional activities) and some tools of Social Semantic Web (Semantic MediaWiki, Diigo and Google+), has been designed, implemented and successfully validated as a device suitable to provide a dynamically personalised learning environment to the lifelong learner.
Pedaste, Margus. "Problem solving in web-based learning environment /." Online version, 2006. http://dspace.utlib.ee/dspace/bitstream/10062/1213/5/pedastemargus.pdf.
Full textJi, Xiao Fang. "Interactive distance learning environment with multicast support." Thesis, University of Macau, 1999. http://umaclib3.umac.mo/record=b1636975.
Full textFohlin, Robert. "A cross-media game environment for learning." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-9314.
Full textSynnes, Kåre. "Net-based Learning and the mStar Environment." Licentiate thesis, Luleå tekniska universitet, Datavetenskap, 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26674.
Full textGodkänd; 1999; 20070403 (ysko)
Stevenson, Liz. "Personalised Learning in a Web 2.0 environment." The University of Waikato, 2008. http://hdl.handle.net/10289/2377.
Full textPralle, Mandi Jo. "Visual design in the online learning environment." [Ames, Iowa : Iowa State University], 2007.
Find full textKojiri, Tomoko, Yasuyuki Ito, and Toyohide Watanabe. "User-oriented interface for collaborative learning environment." IEEE, 2002. http://hdl.handle.net/2237/6900.
Full textBenenson, Alexander. "VideoLogo--synthetic movies in a learning environment." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/64506.
Full textTitle as it appears in the June, 1991 M.I.T. Graduate List: Video logo--synthetic movies in a learning environment.
Includes bibliographical references (leaves 106-109).
by Alexander Benenson.
M.S.