Research of technical knowledge and creativity development of children in pre-primary education through interactive whiteboard

The introduced study represents methodology and results of research focused on utilization of interactive whiteboard as didactic technology mediating information through multimedia worksheets applied in education process in pre-primary education. Its aim was to determine whether it can significantly increase the level of children’s acquired knowledge in the field of technical skills education and whether it can positively influence the development of children’s creative skills as a sign of their motivation. We observe that this issue in the way it is theoretically and practically established in this study can contribute by proposing education standards and set of multimedia worksheets in the technical field in Slovak pre-primary education.     

The social functions of evaluation in Argentine and Finnish higher education

This article examines the traditional assumption that higher education evaluation systems follow a similar global format. Comparative study examines institutional evaluation and assessment processes in two nation‐states that are geographically and economically remote but which, historically, share a common civic perspective. The main research question of the study is: What are the similarities and differences in the social functions of evaluation and assessment between these two countries, the models of evaluation of which originate from the same “homogeneous model of institutional evaluation”? The study demonstrates that Finnish and Argentine models of evaluation are nationally and contextually bound by general ideas rather than being applications of a global model.     

Revisiting Cross-document Structure Theory for multi-document discourse parsing

Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the growing amount of information and the emergence of new technologies that deal with many sources of information, more precise and efficient parsing techniques are required. The most relevant theory to multi-document relationship, Cross-document Structure Theory (CST), has been used for parsing purposes before, though the results had not been satisfactory. CST has received many critics because of its subjectivity, which may lead to low annotation agreement and, consequently, to poor parsing performance. In this work, we propose a refinement of the original CST, which consists in (i) formalizing the relationship definitions, (ii) pruning and combining some relations based on their meaning, and (iii) organizing the relations in a hierarchical structure. The hypothesis for this refinement is that it will lead to better agreement in the annotation and consequently to better parsing results. For this aim, it was built an annotated corpus according to this refinement and it was observed an improvement in the annotation agreement. Based on this corpus, a parser was developed using machine learning techniques and hand-crafted rules. Specifically, hierarchical techniques were used to capture the hierarchical organization of the relations according to the proposed refinement of CST. These two approaches were used to identify the relations among texts spans and to generate multi-document annotation structure. Results outperformed other CST parsers, showing the adequacy of the proposed refinement in the theory.     

Implications of legal and organizational issues for urban digital government development

This paper discusses implications of the convergence of legal and organizational issues in the context of developing and implementing digital government projects in large urban settings. By the convergence of legal and organizational issues we refer to two important aspects of urban government: (1) the close relationship between legal/policy structures and the way government is organized and functions, and (2) the way the legal/policy elements interact with organizational dynamics and work cultures to influence digital government projects (and government activities generally). It is our contention that convergence in the organizational and legal/policy context is a powerful determinant of how these projects develop and how likely they are to succeed. Therefore the understanding of this convergence and related dynamics is critically important to planning and designing both policy to promote digital government and particular digital government projects themselves. Illustrations of this convergence and its consequences are presented. They are based on research involving two digital government projects in urban settings: development of a management information system for homeless shelter administration and a developing a system for sharing information among New York City agencies.     

Active relatives and health-related physical fitness in European adolescents: The HELENA Study

Abstract High physical fitness in childhood and adolescence is positively associated with favourable health-related outcomes. Our aim was to examine the relationship between relatives' (father, mother, brother, sister, and best friend) physical activity engagement and encouragement on adolescents' physical fitness. Adolescents were part of the HELENA study, a multi-centre study conducted in 10 cities from nine European countries in 2006-2008. Participants were 3288 adolescents (48% boys, 52% girls) aged 12.5-17.5 years with valid data on at least one of the three fitness variables studied: muscular strength (standing long jump), speed/agility (4×10 m shuttle run), and cardiorespiratory fitness (20 m shuttle run). The adolescents reported their relatives' physical activity engagement and encouragement. Analysis of covariance showed that relatives' physical activity engagement (father, mother, brother, and best friend) was positively related to cardiorespiratory fitness (P?相似文献   

Steps to Opening Scientific Inquiry: Pre-Service Teachers’ Practicum Experiences with a New Support Framework

This qualitative multiple-comparative case study investigates (1) The reported experiences and impressions of four pre-service teachers (PTs) on practicum placement in four different classrooms (grades 1–9) where a new Steps to Inquiry (SI) framework was being utilized to support students conducting open inquiry; (2) The relative dispositions of the PTs toward conducting open inquiry, as indicated by their core conceptions regarding science, the purpose of education, effective teaching, and the capacity of students. Findings indicate that (1) although there were differences in the experiences of the four PTs, all four had an opportunity to observe and/or facilitate students conducting open inquiry with the SI framework, and after the practicum, all of them reported that they would like to include open inquiry in their own classrooms in the future; (2) one PT already possessed core conceptions indicative of a favorable disposition toward open inquiry before the placement; another altered her core conceptions substantially toward a favorable disposition during the placement; a third altered her conceptions regarding the capacity of students; and one PT maintained core conceptions indicative of a disposition that was not favorable to open inquiry despite the pronouncements that she would like to conduct open inquiry with students in their own future classroom. Possible reasons for the differences in the responses of the four pre-services teachers to the practicum placement are discussed.     

Trajectories of Adjustment in a Brazilian Sample of Street-Involved Youth

Trajectories of adjustment were examined in a sample of street-involved youth across a 1-year period. Participants (N = 113; M_age = 14.18 years; 80.5% male, 91% non-White) were recruited in three Brazilian cities. Interviews conducted at three time points included six measures of physical and psychological adjustment. Unconditional growth models revealed linear declines over time (i.e., improved adjustment) on three indicators: health symptoms, sexual risk behaviors, and negative affect. There were no linear changes in drug use, positive affect, or life satisfaction. Conditional growth models revealed few significant effects for age or gender, but ratings of stressful life events moderated longitudinal changes in health symptoms, drug use, and negative affect. Implications for practice, policy, and theory are discussed.     

Sensemaking and social processes in digital government projects

This research identifies main feedback dynamics associated with social processes necessary to make sense of ambiguous project goals, typical of large digital government projects. The study reports on findings from a case analysis using participatory approaches in system dynamics, based on a digital government project integrating information systems of New York's criminal justice agencies. Findings stress the importance of visuals in the sensemaking process that results from the interaction of technical and social outcomes produced through identifying and continuously re-interpreting main project issues and goals. Project analyses suggest that requisite elements of successfully managing this type of project include 1) facilitation that enables diversity of ideas, 2) shared visuals and re-presentations of participants' efforts to work on the issues, and 3) iterative social construction of objectives, progress, and valid processes for doing the work; each of these plays a role in three different feedback processes sustaining (or undermining) the group engagement needed to yield successful integrative work. The study contributes to the literature in digital government by introducing the lenses of people-centered project management processes, an emerging approach in project management, to underscore the role of social processes in technical projects.     

A feedback model for data-rich learning experiences

Feedback has been identified as one of the factors with the largest potential for a positive impact in a learning experience. There is a significant body of knowledge studying feedback and providing guidelines for its implementation in learning environments. In parallel, the areas of learning analytics or educational data mining have emerged to explore how to analyse exhaustive digital trails produced by technology mediation to improve learning experiences. Current conceptualisations of feedback do not take into account the presence of these trails nor the presence of knowledge extracted through analytics techniques. This paper presents a model to reconceptualise feedback in data-rich learning experiences. It acknowledges the presence of algorithms to analyse and predict learner behaviour and proposes an integrated view between these elements as part of the feedback process and aspects conventionally present in previous models. This new conceptualisation offers instructors, designers and researchers a framework to formulate feedback processes in scenarios with comprehensive data capturing, while retaining a solid connection with well-established educational theories.