The Essence of Feeling a Sense of Community: A Hermeneutic Phenomenological Inquiry With Middle School Students and Teachers

In contemporary times, there is a compelling need to understand the nature of positive community relationships that value diverse others. This dissertation is a hermeneutic phenomenological inquiry into the essence of what it means to feel a sense of community. Specifically, I explored this phenomenon from the perspective of middle school teachers and students through the following questions: What meanings do students and teachers ascribe to feeling, experiencing, and developing a sense of community in their classes? To what extent do students’ and teachers’ ideas about feeling a sense of community include the acceptance of individual differences? Together these questions contributed to the overarching question, what is the essence of feeling a sense of community? As the data pool for the research, I used 192 essays and 218 posters from students who had been asked to write or draw about their visions of a positive classroom community where they felt a sense of community. I conducted 9 teacher interviews on the topic as well. My findings revealed one overarching ontology, Being-in-Relation, which outlined a full integration between individuality and community as a “way of being.” I also found five attributes that are present when individuals feel a sense of community: Supporting Others, Dialogue, An Ethic of Respect and Care, Safety, and Healthy Conflict. Contributions from this research include extensions to the literature about community; clarity for those who wish to establish a strong foundation of community relationships within formal and non-formal educational programs; insight that may assist educators, leaders, and policy makers within formal educational systems; and an opportunity to consider the extent to which the findings may point toward broader implications.

Relevadores de protección aplicados a las líneas de transmisión

Tesis (Maestría en Ciencias de la Ingeniería Eléctrica con Especialidad en Potencia) UANL

Evaluación de los valores tolerancia, responsabilidad y trabajo en equipo en los alumnos de la Facultad de Ingeniería Mecánica y Eléctrica por Patricia Argelia Valdez Rodríguez

UANL

Catálogo de carreras U.A.N.L. 1987 educación superior licenciatura

UANL

Las enfermedades de la memoria

UANL

Vida de Napoleón : fragmentos

UANL

Breves nociones de economía política; ó sean, Principios elementales de esta ciencia. Para los primeros estudios escolares

UANL

Rosa ; Flor de oro

UANL

Claro-Obscuro

UANL

Las delicias de la piedad, tratado sobre el culto de la Santísima Virgen

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Convergence, investissements directs étrangers et échanges commerciaux: le club de convergence pour les pays latino-américains.

Rapport de recherche

Leyes federales vigentes sobre tierras, bosques, aguas, ejidos, colonización y gran registro de la propiedad

UANL

Estimación del valor nutritivo y digestión ruminal de cinco líneas apomíticas y un híbrido de pasto buffel (Cenchrus Ciliaris L.)

Tesis ( Doctorado en Ciencias con Especialidad en Alimentos) UANL

Modelo de competencias profesionales para docentes de educación básica según el criterio de un grupo de educadores : fundamento del curriculum

Tesis (Doctor en Filosofía con especialidad en Educación) U.A.N.L. Facultad de Filosofía y Letras, 2008.

Computational prediction of neural progenitor cell fates

Understanding how stem and progenitor cells choose between alternative cell fates is a major challenge in developmental biology. Efforts to tackle this problem have been hampered by the scarcity of markers that can be used to predict cell division outcomes. Here we present a computational method, based on algorithmic information theory, to analyze dynamic features of living cells over time. Using this method, we asked whether rat retinal progenitor cells (RPCs) display characteristic phenotypes before undergoing mitosis that could foretell their fate. We predicted whether RPCs will undergo a self-renewing or terminal division with 99% accuracy, or whether they will produce two photoreceptors or another combination of offspring with 87% accuracy. Our implementation can segment, track and generate predictions for 40 cells simultaneously on a standard computer at 5 min per frame. This method could be used to isolate cell populations with specific developmental potential, enabling previously impossible investigations.