Digital kids, analogue students : a mixed methods study of students' engagement with a school-based Web 2.0 learning innovation

The inquiry documented in this thesis is located at the nexus of technological innovation and traditional schooling. As we enter the second decade of a new century, few would argue against the increasingly urgent need to integrate digital literacies with traditional academic knowledge. Yet, despite substantial investments from governments and businesses, the adoption and diffusion of contemporary digital tools in formal schooling remain sluggish. To date, research on technology adoption in schools tends to take a deficit perspective of schools and teachers, with the lack of resources and teacher ‘technophobia’ most commonly cited as barriers to digital uptake. Corresponding interventions that focus on increasing funding and upskilling teachers, however, have made little difference to adoption trends in the last decade. Empirical evidence that explicates the cultural and pedagogical complexities of innovation diffusion within long-established conventions of mainstream schooling, particularly from the standpoint of students, is wanting. To address this knowledge gap, this thesis inquires into how students evaluate and account for the constraints and affordances of contemporary digital tools when they engage with them as part of their conventional schooling. It documents the attempted integration of a student-led Web 2.0 learning initiative, known as the Student Media Centre (SMC), into the schooling practices of a long-established, high-performing independent senior boys’ school in urban Australia. The study employed an ‘explanatory’ two-phase research design (Creswell, 2003) that combined complementary quantitative and qualitative methods to achieve both breadth of measurement and richness of characterisation. In the initial quantitative phase, a self-reported questionnaire was administered to the senior school student population to determine adoption trends and predictors of SMC usage (N=481). Measurement constructs included individual learning dispositions (learning and performance goals, cognitive playfulness and personal innovativeness), as well as social and technological variables (peer support, perceived usefulness and ease of use). Incremental predictive models of SMC usage were conducted using Classification and Regression Tree (CART) modelling: (i) individual-level predictors, (ii) individual and social predictors, and (iii) individual, social and technological predictors. Peer support emerged as the best predictor of SMC usage. Other salient predictors include perceived ease of use and usefulness, cognitive playfulness and learning goals. On the whole, an overwhelming proportion of students reported low usage levels, low perceived usefulness and a lack of peer support for engaging with the digital learning initiative. The small minority of frequent users reported having high levels of peer support and robust learning goal orientations, rather than being predominantly driven by performance goals. These findings indicate that tensions around social validation, digital learning and academic performance pressures influence students’ engagement with the Web 2.0 learning initiative. The qualitative phase that followed provided insights into these tensions by shifting the analytics from individual attitudes and behaviours to shared social and cultural reasoning practices that explain students’ engagement with the innovation. Six indepth focus groups, comprising 60 students with different levels of SMC usage, were conducted, audio-recorded and transcribed. Textual data were analysed using Membership Categorisation Analysis. Students’ accounts converged around a key proposition. The Web 2.0 learning initiative was useful-in-principle but useless-in-practice. While students endorsed the usefulness of the SMC for enhancing multimodal engagement, extending peer-topeer networks and acquiring real-world skills, they also called attention to a number of constraints that obfuscated the realisation of these design affordances in practice. These constraints were cast in terms of three binary formulations of social and cultural imperatives at play within the school: (i) ‘cool/uncool’, (ii) ‘dominant staff/compliant student’, and (iii) ‘digital learning/academic performance’. The first formulation foregrounds the social stigma of the SMC among peers and its resultant lack of positive network benefits. The second relates to students’ perception of the school culture as authoritarian and punitive with adverse effects on the very student agency required to drive the innovation. The third points to academic performance pressures in a crowded curriculum with tight timelines. Taken together, findings from both phases of the study provide the following key insights. First, students endorsed the learning affordances of contemporary digital tools such as the SMC for enhancing their current schooling practices. For the majority of students, however, these learning affordances were overshadowed by the performative demands of schooling, both social and academic. The student participants saw engagement with the SMC in-school as distinct from, even oppositional to, the conventional social and academic performance indicators of schooling, namely (i) being ‘cool’ (or at least ‘not uncool’), (ii) sufficiently ‘compliant’, and (iii) achieving good academic grades. Their reasoned response therefore, was simply to resist engagement with the digital learning innovation. Second, a small minority of students seemed dispositionally inclined to negotiate the learning affordances and performance constraints of digital learning and traditional schooling more effectively than others. These students were able to engage more frequently and meaningfully with the SMC in school. Their ability to adapt and traverse seemingly incommensurate social and institutional identities and norms is theorised as cultural agility – a dispositional construct that comprises personal innovativeness, cognitive playfulness and learning goals orientation. The logic then is ‘both and’ rather than ‘either or’ for these individuals with a capacity to accommodate both learning and performance in school, whether in terms of digital engagement and academic excellence, or successful brokerage across multiple social identities and institutional affiliations within the school. In sum, this study takes us beyond the familiar terrain of deficit discourses that tend to blame institutional conservatism, lack of resourcing and teacher resistance for low uptake of digital technologies in schools. It does so by providing an empirical base for the development of a ‘third way’ of theorising technological and pedagogical innovation in schools, one which is more informed by students as critical stakeholders and thus more relevant to the lived culture within the school, and its complex relationship to students’ lives outside of school. It is in this relationship that we find an explanation for how these individuals can, at the one time, be digital kids and analogue students.

Produtividade e qualidade de cana-de-açúcar cultivada em solo tratado com lodo de esgoto, vinhaça e adubos minerais

O uso agrícola de resíduos orgânicos, de origem agrícola, urbana ou industrial, é uma interessante alternativa de disposição, permitindo a reciclagem de nutrientes (NPK) nos ecossistemas. Este trabalho avaliou o efeito da aplicação de lodo de esgoto como fonte de N e de vinhaça como fonte de K comparado ao uso de fontes minerais desses nutrientes sobre a produtividade e variáveis agroindustriais da cana-de-açúcar, por dois anos consecutivos (cana-planta e cana-soca). O experimento foi conduzido em Latossolo Vermelho-Amarelo distrófico típico, em Pontal - SP, e a variedade de cana-de-açúcar avaliada foi a SP 81-3250. Utilizou-se de esquema fatorial 3x2x2+1, ou seja, três tipos de resíduos (lodo de esgoto + KCl; vinhaça + uréia, e lodo de esgoto + vinhaça); dois modos de aplicação (na linha de plantio ou em área total); duas doses (100 e 200% do N e K necessários à cultura) e um tratamento adicional com adubação mineral, sendo os tratamentos distribuídos na área em blocos ao acaso, com três repetições. Foram avaliadas a produtividade e as variáveis agroindustriais (°brix, pol no caldo, fibra, pureza, pol na cana, AR e ATR). As produtividades de colmo e de açúcar para cana-planta foram mantidas quando N e K foram fornecidos pelo lodo de esgoto e vinhaça, respectivamente. A cana-soca apresentou maior produtividade de colmo e de açúcar quando foram utilizados os resíduos separadamente, complementados com fontes minerais. Quanto ao modo de aplicação, não foram observadas diferenças significativas para as variáveis analisadas.

Avaliação Comparativa da Agressividade de Meloidogyne javanica e M. incognita à Variedade SP 911049 de Cana-de-açúcar

Nematodes cause extensive losses to sugarcane in Brazil and also in other producing regions. Meloidogyne incognita, M. javanica and Pratylenchus zeae are the key species for this culture worldwide. In the present study, the aggressiveness of M. javanica and M. incognita to sugarcane variety SP 911049 was evaluated comparatively,. The following parameters were compared: reproduction factor (RF) of these nematodes, effect of nematodes in the natural incidence of pests, and the influence on the development and technological characteristics of sugarcane. Considering the data of RF, biometrics, natural infestation of pests, mortality of plants, and technological variables, it was concluded that M. javanica was more aggressive to sugarcane, although its rate of multiplication was much smaller than the one of M. incognita.

Sucessão de culturas e adubação nitrogenada em cana soca: efeitos nos atributos químicos do solo, na produtividade e na qualidade da cultura

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Aplicação de maturadores químicos no final de safra associada à eliminação de soqueira em área de reforma do canavial

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Atributos químicos do solo, nutrição e produtividade da cana-planta em função da aplicação de nitrogênio e de escória de siderurgia

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Diferentes concentrações de solução nutritiva no cultivo do tomateiro em substrato de fibra de coco em ambiente protegido

Pós-graduação em Agronomia - FEIS

Effects of traffic control on the soil physical quality and the cultivation of sugarcane

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Metodologias de aplicação de sulfonamida heterocíclica no controle de Meloidogyne javanica e Pratylenchus brachyurus em soja

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Systematic Approach for the selection of monitoring technologies in CO2 geological storage projects. Application of multicriteria decision making

Geologic storage of carbon dioxide (CO2) has been proposed as a viable means for reducing anthropogenic CO2 emissions. Once injection begins, a program for measurement, monitoring, and verification (MMV) of CO2 distribution is required in order to: a) research key features, effects and processes needed for risk assessment; b) manage the injection process; c) delineate and identify leakage risk and surface escape; d) provide early warnings of failure near the reservoir; and f) verify storage for accounting and crediting. The selection of the methodology of monitoring (characterization of site and control and verification in the post-injection phase) is influenced by economic and technological variables. Multiple Criteria Decision Making (MCDM) refers to a methodology developed for making decisions in the presence of multiple criteria. MCDM as a discipline has only a relatively short history of 40 years, and it has been closely related to advancements on computer technology. Evaluation methods and multicriteria decisions include the selection of a set of feasible alternatives, the simultaneous optimization of several objective functions, and a decision-making process and evaluation procedures that must be rational and consistent. The application of a mathematical model of decision-making will help to find the best solution, establishing the mechanisms to facilitate the management of information generated by number of disciplines of knowledge. Those problems in which decision alternatives are finite are called Discrete Multicriteria Decision problems. Such problems are most common in reality and this case scenario will be applied in solving the problem of site selection for storing CO2. Discrete MCDM is used to assess and decide on issues that by nature or design support a finite number of alternative solutions. Recently, Multicriteria Decision Analysis has been applied to hierarchy policy incentives for CCS, to assess the role of CCS, and to select potential areas which could be suitable to store. For those reasons, MCDM have been considered in the monitoring phase of CO2 storage, in order to select suitable technologies which could be techno-economical viable. In this paper, we identify techniques of gas measurements in subsurface which are currently applying in the phase of characterization (pre-injection); MCDM will help decision-makers to hierarchy the most suitable technique which fit the purpose to monitor the specific physic-chemical parameter.

Metodología para el análisis de la relación entre la competividad y la preparación tecnológica en 135 economías mundiales. Factores e indicadores clave de actuación. Conglomerados.

La investigación, plantea como podemos evaluar la competividad en 135 países a partir únicamente de variables tecnológicas. En la metodología se plantea el Protocolo de Cálculo para el total de las economías seleccionadas dentro de los periodos 2005-2006 y 2007-2008, realizando una evaluación estadística. Y estableciendo una discusión, donde analizamos la explicación de las relaciones así como la interpretación de los resultados. Finalmente, evaluamos las conclusiones para las economías mundiales. Dentro de estas economías, localizamos las variables que tienen que priorizarse para mejorar la competividad de las mismas. Estas variables par ten inicialmente de un grupo de 68, y al final de la implementación del método se reducen notablemente. Estas variables finales, llamadas Indicadores Claves de Actuación, se agrupan en factores (Factores Clave de Actuación) que nos simplifican notablemente lo planteado. Para cada grupo de economías se realizan los conglomerados de acuerdo a sus valores dentro de las variables seleccionadas. Se evalúa país a país un análisis detallado de su posicionamiento para cada uno de los Indicadores Claves de Actuación seleccionados matemáticamente. La principal voluntad de la presente información, es simplificar notablemente la comparación entre la competividad de las naciones y su nivel tecnológico. Palabras clave: indicadores, índices, economías, mundiales, análisis multivariante, regresión, factorización, clusterización, análisis de conglomerados, competividad, tecnología, políticas públicas, aspectos regulatorios, operaciones, estrategias comerciales, internet, comparativa cros nacionales, análisis multinivel. Analysis of the relationship between competitiveness and technological development for 135 worldwide countries. Factors and Key Performance Indicators. Clusters of economies Abstract:The research evaluates the competitiveness of 135 countries, based solely on technological variables. The methodology raises calculation protocol for the total of selected economies in the periods 2005-2006 and 2007- 2008. This protocol makes a statistical evaluation. And setting up a discussion, where we analyzed the explanation of the relationship and the interpretation of results. Finally, we evaluate the conclusions for the world economies. Within each group of economies, we know which variables need originally to be prioritized to improve the competitiveness. These variables are from a group of 68, and after the implementation of the method are reduced dramatically in number. These variables will be called Key Performance Indicators and will be grouped into Factors (Key Performance Factors) this will significantly simplify matters. Within this group of countries have been reduced three factors that collect their Key Performance Indicators . A country to country detailed analysis of their positions according to each of the Key Performance Indicators on a mathematical basis.The main desire of this research is to significantly simplify the comparison between the competitiveness of nations and their technological level. Key words: economies, innovation, competitiveness, public policy, business strategies.

Tecnología y competitividad en la economía mundial. Factores e indicadores clave de actuación

Durante los últimos 30 años se han creado una gran cantidad de índices e indicadores para evaluar la práctica totalidad de los países bajo distintas premisas. La tesis parte de un análisis detallado de más de un centenar de estos índices diferenciados entre los enfocados al desarrollo y los enfocados a la competitividad económica (véase Módulo I anexo) y tras esto, dentro del estudio teórico nos hemos centrado en 35 indicadores relacionados con la tecnología (capítulo 3, apartado 3.3.). La justificación, el objetivo de la investigación y la estructura de la tesis se presenta en el capítulo 2. Respecto a la metodología, tal y como se plantea en la hipótesis (apartado 2.2.), se presentan los criterios de selección de seis grupos de países (EP, EPC, EC, ECI, EI y EM)1, que se van a evaluar. Posteriormente se plantea el Protocolo de Cálculo para el total de grupos seleccionados dentro de los periodos 2005-2006 y 2007-2008 y se realiza una profunda evaluación estadística como se plantea dentro de la coherencia estadística explicada en el apartado 3.4.4.5. (también se dispone de los cálculos dentro de los Módulos II, III, IV y V anexos). Tras la metodología establecemos la construcción de un índice sintético NRI(A) y, tras esto, estudiamos las relaciones así como la interpretación de los resultados (capítulo 4, apartado 4.1.). Una vez obtenidos los resultados realizamos la validación de los mismos para el periodo 2007-2015 (capítulo 4 - apartado 4.2. – y los Módulos VI y VII anexos). En el capítulo 5, evaluamos el nivel de preparación tecnológico y su relación con la competitividad para los seis grupos de países (véase desde los apartados 5.1.y 5.2.). Dentro de cada uno de los seis grupos de países, sabemos las variables que cualitativamente tienen que priorizarse para mejorar el nivel de preparación tecnológica de los mismos. Estas variables inicialmente son sesenta y ocho – año 2007-08 –, y al final de la implementación del método se reducen notablemente. Estas variables finales, llamadas Indicadores Clave de Actuación (ICA), se agrupan – vía análisis factorial – en Factores Clave de Actuación que nos simplifican lo planteado. Para cada grupo de países se realizan los conglomerados de acuerdo a sus valores dentro de las ICAs en busca de singularidades y se ha llevado a cabo un análisis minucioso en función de los Indicadores Clave de Actuación. La Tesis, plantea científicamente como podemos evaluar el nivel de preparación tecnológica y su relación con la competitividad, desde un índice sintético creado NRI(A), que contempla únicamente Indicadores Clave de Actuación (variables seleccionadas) a partir de las variables originales del Network Readiness Index (NRI(R)) . Por último se plantea dentro de las conclusiones, capítulo 6, diferentes líneas de investigación, desarrollando dos de ellas que se pueden encontrar en el Modulo VIII anexo. Por un lado presentamos una línea de investigación centrada en 29 economías africanas (EA) de las que disponemos información fidedigna y por otro lado una segunda línea en la que nos centramos en la evaluación de España respecto a sus naciones coetáneas. La principal voluntad de la presente tesis doctoral, es simplificar la evaluación del nivel de preparación tecnológica y la relación de esta con la competitividad a partir de la creación de un índice sintético propio NRI(A). ABSTRACT - During the last 30 years, many institutions have been evaluating and endless range of variables in practically all of the world´s economies. This Thesis is the product of a detail analysis of more than one hundred indicators / index, which we have divided into two parts: those focused on development and those focused on economic competitiveness (see module I annex). Secondly, in our theoretical research we have concentrated on those indicators, which are related to technology (chapters 3, section 3.3). The selection criteria of the six economic groups to be evaluated are included in our methodology, as mentioned in the hypothesis (see section 2.2.). Subsequently the calculation procedure is also presented for all of the groups selected between the periods 2005-2006 and 2007-2008. Next, we perform a statistical study, which is presented accordingly in the segment dealing with statistics, section 3.4.4.5. The calculations are provided in modules I, II, III, IV and V annex. After the methods segment of the Thesis, we develop our argument, in which we presented the explanation of the relations as well as the interpretation of the results. Also at the chapter 4 you can find the result validation from 2007 till 2015. Finally in chapters 6, we evaluate the conclusions for the six economic groups (see section 6.2.). The Thesis scientifically explains the way in which we evaluate economic competitiveness in 135 countries from a standpoint of strictly technological variables. Six groups of countries are evaluated, being divided by criteria, which homogenize the economies under review. We recognize that the variables of each economic group should be prioritized in order to better their competitiveness. Initially the group consisted of 68 variables, a number which was considerably reduced after the implementation of our methodology. Likewise, these final variables, dubbed “key performance indicators”, were grouped into factors (key performance factors), which greatly simplify the prioritization process. At the same time, conglomerates have been created for each economic group according to their value concerning the selected variables. A detailed country – by – country analysis of their positioning in each of the six groups was conducted for each of the mathematically selected key performance indicators. Finally, at the Conclusion we introduce new research lines and between them we focus on two research lines in which ones we are working with (see chapter 6). We basically try to apply the multivariable analysis method, the factorial analysis and the conglomerates to designed and implemented our method first in a geographically group of countries (Africa) and secondly to evaluate and develop the public policies for Spain for the development of its competitively, comparing Spain to his coetaneous countries in Europe (see Module VIII). The main objective of this Doctoral Thesis is to noticeably simplify the comparison of the Network Readiness Index and its relation with the economic competitiveness of the countries using a new synthetic index design by us.

Identification of critical input variables for risk-based cost estimates for road maintenance and rehabilitation

An estimation of costs for maintenance and rehabilitation is subject to variation due to the uncertainties of input parameters. This paper presents the results of an analysis to identify input parameters that affect the prediction of variation in road deterioration. Road data obtained from 1688 km of a national highway located in the tropical northeast of Queensland in Australia were used in the analysis. Data were analysed using a probability-based method, the Monte Carlo simulation technique and HDM-4’s roughness prediction model. The results of the analysis indicated that among the input parameters the variability of pavement strength, rut depth, annual equivalent axle load and initial roughness affected the variability of the predicted roughness. The second part of the paper presents an analysis to assess the variation in cost estimates due to the variability of the overall identified critical input parameters.

Understanding the impact of strategic alignment on the operational performance of post implemented technological innovations

Purpose – The purpose of this paper is to examine the role of three strategies - organisational, business and information system – in post implementation of technological innovations. The findings reported in the paper are that improvements in operational performance can only be achieved by aligning technological innovation effectiveness with operational effectiveness. Design/methodology/approach – A combination of qualitative and quantitative methods was used to apply a two-stage methodological approach. Unstructured and semi structured interviews, based on the findings of the literature, were used to identify key factors used in the survey instrument design. Confirmatory factor analysis (CFA) was used to examine structural relationships between the set of observed variables and the set of continuous latent variables. Findings – Initial findings suggest that organisations looking for improvements in operational performance through adoption of technological innovations need to align with operational strategies of the firm. Impact of operational effectiveness and technological innovation effectiveness are related directly and significantly to improved operational performance. Perception of increase of operational effectiveness is positively and significantly correlated with improved operational performance. The findings suggest that technological innovation effectiveness is also positively correlated with improved operational performance. However, the study found that there is no direct influence of strategiesorganisational, business and information systems (IS) - on improvement of operational performance. Improved operational performance is the result of interactions between the implementation of strategies and related outcomes of both technological innovation and operational effectiveness. Practical implications – Some organisations are using technological innovations such as enterprise information systems to innovate through improvements in operational performance. However, they often focus strategically only on effectiveness of technological innovation or on operational effectiveness. Such a focus will be detrimental in the long-term of the enterprise. This research demonstrated that it is not possible to achieve maximum returns through technological innovations as dimensions of operational effectiveness need to be aligned with technological innovations to improve their operational performance. Originality/value – No single technological innovation implementation can deliver a sustained competitive advantage; rather, an advantage is obtained through the capacity of an organisation to exploit technological innovations’ functionality on a continuous basis. To achieve sustainable results, technology strategy must be aligned with organisational and operational strategies. This research proposes the key performance objectives and dimensions that organisations should focus to achieve a strategic alignment. Research limitations/implications – The principal limitation of this study is that the findings are based on investigation of small sample size. There is a need to explore the appropriateness of influence of scale prior to generalizing the results of this study.

Technological innovation and operational effectiveness : their role in achieving performance improvements

The purpose of this article is to examine the role of the alignment between technological innovation effectiveness and operational effectiveness after the implementation of enterprise information systems, and the impact of this alignment on the improvement in operational performance. Confirmatory factor analysis was used to examine structural relationships between the set of observed variables and the set of continuous latent variables. The findings from this research suggest that the dimensions stemming from technological innovation effectiveness such as system quality, information quality, service quality, user satisfaction and the performance objectives stemming from operational effectiveness such as cost, quality, reliability, flexibility and speed are important and significantly well-correlated factors. These factors promote the alignment between technological innovation effectiveness and operational effectiveness and should be the focus for managers in achieving effective implementation of technological innovations. In addition, there is a significant and direct influence of this alignment on the improvement of operational performance. The principal limitation of this study is that the findings are based on investigation of small sample size.