Educating...for what?: Inquiry and Reflection

Higgins School of the Humanities/Difficult Dialogues: Video Recording from 11/16/2011 event featuring Cynthia Enloe and Frederick Luis Aldama titled "Inquiry and Reflection" Event Description: Freedom of inquiry (and the possibilities for discovery, insight and expanding knowledge that can flow from it) is fundamental to the experience of learning. Yet rarely do we pause to ask about inquiry itself, and to consider its practices. How do we best encourage authentic inquiry, in ourselves and in our students? To what do we give our attention, and why? What promotes the possibility of new discoveries and insights? Our guests for a conversation on inquiry are Frederick Luis Aldama of Ohio State University, a prolific scholar of wide-ranging interests, and Cynthia Enloe, research professor at Clark University, whose work is characterized by her subtle and provocative curiosity, and the asking of good questions.

Servizi Sociali Territoriali e Università: Esempi di Sinergie Possibili per un Percorso di Qualità

Although – or because – social work education in Italy has for some 15 years now been exclusively in the domain of the university the relationship between the academic world and that of practice has been highly tenuous. Research is indeed being conducted by universities, but rarely on issues that are of immediate practice relevance. This means that forms of practice develop and become established habitually which are not checked against rigorous standards of research and that the creation of knowledge at academic level pays scant attention to the practice implications of social changes. This situation has been made even worse by the dwindling resources both in social services and at the level of the universities which means that bureaucratic procedures or imports of specialisations from other disciplines frequently dominate the development of practice instead of a theory-based approach to methodology. This development does not do justice to the actual requirements of Italian society faced with ever increasing post-modern complexity which is reflected also in the nature of social problems because it implies a continuation of a faith in modernity with its idea of technical, clear-cut solutions while social relations have decidedly moved beyond that belief. This discrepancy puts even greater strain on the personnel of welfare agencies and does ultimately not satisfy the ever increasing demands for quality and accountability of services on the part of users and the general public. Social workers badly lack fundamental theoretical reference points which could guide them in their difficult work to arrive at autonomous, situation-specific methodological answers not based on procedures but on analytical knowledge. Thirty years ago, in 1977, a Presidential Decree created the legal basis for the establishment of social service departments at the level of municipalities which created opportunities for the direct involvement of the community in the fight against exclusion. For this potential to be fully utilized it would have required the bringing together of three dimensions, the organizational structure, the opportunities for learning and research in the territory and the contribution by the professional community. As this did not occur social services in Italy still often retain the character of charity which does not concern itself with the actual causes of poverty and exclusion. This in turn affects the relationship with citizens in general who cannot develop trust in those services. Through uncritical processes of interaction Edgar Morin’s dictum manifests itself which is that without resorting to critical reflection on complexity interventions can often have an effect that totally the opposite to the original intention. An important element in setting up a dynamic interchange between academia and practice is the placement on professional social work courses. Here the looping of theory to practice and back to theory etc. can actually take place under the right organizational and conceptual conditions, more so than in abstract, and for practitioners often useless debates about the theory-practice connection. Furthermore, research projects at the University of Florence Social Work Department for instance aim at fostering theoretical reflection at the level of and with the involvement of municipal social service agencies. With a general constructive disposition towards research and some financial investment students were facilitated to undertake social service practice related research for their degree theses for instance in the city of Pistoia. In this way it was also possible to strengthen the confidence and professional identity of social workers as they became aware of the contribution their own discipline can make to practice-relevant research instead of having to move over to disciplines like psychology for those purposes. Examples of this fruitful collaboration were presented at a conference in Pistoia on 25 June 2007. One example is a thesis entitled ‘The object of social work’ and examines the difficult development of definitions of social work and comes to the conclusion that ‘nothing is more practical than a theory’. Another is on coping abilities as a necessary precondition for the utilization of resources supplied by social services in exceptional circumstances. Others deal with the actual sequence of interventions in crisis situations, and one very interestingly looks at time and how it is being constructed often differently by professionals and clients. At the same time as this collaboration on research gathers momentum in the Toscana, supervision is also being demanded more forcefully as complementary to research and with the same aim of profiling more strongly the professional identity of social work. Collaboration between university and social service filed is for mutual benefit. At a time when professional practice is under threat of being defined from the outside through bureaucratic prescriptions a sound grounding in theory is a necessary precondition for competent practice.

Social skills as predictors of communication, performance and quality of collaboration in project-based learning

The assumption that social skills are necessary ingredients of collaborative learning is well established but rarely empirically tested. In addition, most theories on collaborative learning focus on social skills only at the personal level, while the social skill configurations within a learning group might be of equal importance. Using the integrative framework, this study investigates which social skills at the personal level and at the group level are predictive of task-related e-mail communication, satisfaction with performance and perceived quality of collaboration. Data collection took place in a technology-enhanced long-term project-based learning setting for pre-service teachers. For data collection, two questionnaires were used, one at the beginning and one at the end of the learning cycle which lasted 3 months. During the project phase, the e-mail communication between group members was captured as well. The investigation of 60 project groups (N = 155 for the questionnaires; group size: two or three students) and 33 groups for the e-mail communication (N = 83) revealed that personal social skills played only a minor role compared to group level configurations of social skills in predicting satisfaction with performance, perceived quality of collaboration and communication behaviour. Members from groups that showed a high and/or homogeneous configuration of specific social skills (e.g., cooperation/compromising, leadership) usually were more satisfied and saw their group as more efficient than members from groups with a low and/or heterogeneous configuration of skills.

The role of controlled attention and selective encoding for kindergarteners' learning

Selectivity in encoding, aspects of attentional control and their contribution to learning performance were explored in a sample of preschoolers. While the children are performing a learning task, their encoding of relevant and attention towards irrelevant information was recorded through an eye-tracking device. Recognition of target items was used as measure of learning outcome, and individual differences in resistance to interference and inhibition of attention to task-irrelevant stimuli (i.e. distractibility) were used as measures of executive control of attention. Results indicated well-developed selectivity during encoding in young children. Recognition performance was related to selective encoding and aspects of attentional control, explaining individual differences in learning. Copyright © 2011 John Wiley & Sons, Ltd.

"Innovatio educativa tertio millennio": 12 years evoluting from learning from learning to teaching in courses on educational innovation and collaboration with the UNESCO chair of mining and industrial heritage

Twelve years ago a group of teachers began to work in educational innovation. In 2002 we received an award for educational innovation, undergoing several stages. Recently, we have decided to focus on being teachers of educational innovation. We create a web scheduled in Joomla offering various services, among which we emphasize teaching courses of educational innovation. The “Instituto de Ciencias de la Educacion” in “Universidad Politécnica de Madrid” has recently incorporated two of these courses, which has been highly praised. These courses will be reissued in new calls, and we are going to offer them to more Universities. We are in contact with several institutions, radio programs, the UNESCO Chair of Mining and Industrial Heritage, and we are working with them in the creation of heritage courses using methods that we have developed.

PUE attack detection in CWSN using collaboration and learning behavior

Cognitive Wireless Sensor Network (CWSN) is a new paradigm which integrates cognitive features in traditional Wireless Sensor Networks (WSNs) to mitigate important problems such as spectrum occupancy. Security in Cognitive Wireless Sensor Networks is an important problem because these kinds of networks manage critical applications and data. Moreover, the specific constraints of WSN make the problem even more critical. However, effective solutions have not been implemented yet. Among the specific attacks derived from new cognitive features, the one most studied is the Primary User Emulation (PUE) attack. This paper discusses a new approach, based on anomaly behavior detection and collaboration, to detect the PUE attack in CWSN scenarios. A nonparametric CUSUM algorithm, suitable for low resource networks like CWSN, has been used in this work. The algorithm has been tested using a cognitive simulator that brings important results in this area. For example, the result shows that the number of collaborative nodes is the most important parameter in order to improve the PUE attack detection rates. If the 20% of the nodes collaborates, the PUE detection reaches the 98% with less than 1% of false positives.

Machine Learning in Scientometrics

El aprendizaje automático y la cienciometría son las disciplinas científicas que se tratan en esta tesis. El aprendizaje automático trata sobre la construcción y el estudio de algoritmos que puedan aprender a partir de datos, mientras que la cienciometría se ocupa principalmente del análisis de la ciencia desde una perspectiva cuantitativa. Hoy en día, los avances en el aprendizaje automático proporcionan las herramientas matemáticas y estadísticas para trabajar correctamente con la gran cantidad de datos cienciométricos almacenados en bases de datos bibliográficas. En este contexto, el uso de nuevos métodos de aprendizaje automático en aplicaciones de cienciometría es el foco de atención de esta tesis doctoral. Esta tesis propone nuevas contribuciones en el aprendizaje automático que podrían arrojar luz sobre el área de la cienciometría. Estas contribuciones están divididas en tres partes: Varios modelos supervisados (in)sensibles al coste son aprendidos para predecir el éxito científico de los artículos y los investigadores. Los modelos sensibles al coste no están interesados en maximizar la precisión de clasificación, sino en la minimización del coste total esperado derivado de los errores ocasionados. En este contexto, los editores de revistas científicas podrían disponer de una herramienta capaz de predecir el número de citas de un artículo en el fututo antes de ser publicado, mientras que los comités de promoción podrían predecir el incremento anual del índice h de los investigadores en los primeros años. Estos modelos predictivos podrían allanar el camino hacia nuevos sistemas de evaluación. Varios modelos gráficos probabilísticos son aprendidos para explotar y descubrir nuevas relaciones entre el gran número de índices bibliométricos existentes. En este contexto, la comunidad científica podría medir cómo algunos índices influyen en otros en términos probabilísticos y realizar propagación de la evidencia e inferencia abductiva para responder a preguntas bibliométricas. Además, la comunidad científica podría descubrir qué índices bibliométricos tienen mayor poder predictivo. Este es un problema de regresión multi-respuesta en el que el papel de cada variable, predictiva o respuesta, es desconocido de antemano. Los índices resultantes podrían ser muy útiles para la predicción, es decir, cuando se conocen sus valores, el conocimiento de cualquier valor no proporciona información sobre la predicción de otros índices bibliométricos. Un estudio bibliométrico sobre la investigación española en informática ha sido realizado bajo la cultura de publicar o morir. Este estudio se basa en una metodología de análisis de clusters que caracteriza la actividad en la investigación en términos de productividad, visibilidad, calidad, prestigio y colaboración internacional. Este estudio también analiza los efectos de la colaboración en la productividad y la visibilidad bajo diferentes circunstancias. ABSTRACT Machine learning and scientometrics are the scientific disciplines which are covered in this dissertation. Machine learning deals with the construction and study of algorithms that can learn from data, whereas scientometrics is mainly concerned with the analysis of science from a quantitative perspective. Nowadays, advances in machine learning provide the mathematical and statistical tools for properly working with the vast amount of scientometrics data stored in bibliographic databases. In this context, the use of novel machine learning methods in scientometrics applications is the focus of attention of this dissertation. This dissertation proposes new machine learning contributions which would shed light on the scientometrics area. These contributions are divided in three parts: Several supervised cost-(in)sensitive models are learned to predict the scientific success of articles and researchers. Cost-sensitive models are not interested in maximizing classification accuracy, but in minimizing the expected total cost of the error derived from mistakes in the classification process. In this context, publishers of scientific journals could have a tool capable of predicting the citation count of an article in the future before it is published, whereas promotion committees could predict the annual increase of the h-index of researchers within the first few years. These predictive models would pave the way for new assessment systems. Several probabilistic graphical models are learned to exploit and discover new relationships among the vast number of existing bibliometric indices. In this context, scientific community could measure how some indices influence others in probabilistic terms and perform evidence propagation and abduction inference for answering bibliometric questions. Also, scientific community could uncover which bibliometric indices have a higher predictive power. This is a multi-output regression problem where the role of each variable, predictive or response, is unknown beforehand. The resulting indices could be very useful for prediction purposes, that is, when their index values are known, knowledge of any index value provides no information on the prediction of other bibliometric indices. A scientometric study of the Spanish computer science research is performed under the publish-or-perish culture. This study is based on a cluster analysis methodology which characterizes the research activity in terms of productivity, visibility, quality, prestige and international collaboration. This study also analyzes the effects of collaboration on productivity and visibility under different circumstances.

Teaching College Writing in a High School Setting: The Impact of Concurrent Enrollment on Teacher Learning and Practice

Thesis (Ph.D.)--University of Washington, 2016-06

Attention vs. emotion: Affective learning and the startle reflex

The eye-blink startle reflex can be modulated by attentional and emotional processes. The reflex is facilitated during stimuli that engage attention. A linear pattern of emotional modulation has also been consistently demonstrated: the reflex is facilitated during unpleasant stimuli and attenuated during pleasant stimuli. However, during anticipation of pleasant or unpleasant stimuli it is unclear whether emotion or attention drives startle reflex modulation. This study used a differential learning procedure to investigate whether startle modulation during anticipation of a salient stimulus reflected emotional or attentional processes. In acquisition, a CS+ was paired with a pleasant or unpleasant US and a CS- was presented alone. In extinction, blink startle magnitude was measured during CS+ and CS-. Post-acquisition valence ratings and affective priming showed that CS+ had acquired the same affective value as the pleasant or unpleasant US with which it was paired. No differences in modulation of blink startle reflexes during pleasant CS+ and unpleasant CS+ were found throughout extinction. Blink startle facilitation occurred during CS+ but not CS- across the first third of extinction. Thus, attentional rather than emotional processes appeared to facilitate blink startle during anticipation of salient stimuli.