Effects of motivational and cognitive variables on reading comprehension

The authors examined how motivational and cognitive variables predict reading comprehension, and whether each predictor variable adds unique explanatory power when statistically controlling for the others. Fourth-grade students (N = 205) completed measures of reading comprehension in September and December of the same year, and measures of background knowledge and cognitive strategy use in December. Teachers rated internal reading motivation of each student. Results from multiple regression analyses showed that motivation, background knowledge, and cognitive strategy-use made significant, independent contributions to children’s reading comprehension when the other predictor variables were controlled. Further analyses showed the same cognitive and motivational variables predicted growth over a 3-month period in reading comprehension. Possible explanations of the observed relations between motivation, cognitive variables, and reading comprehension are presented.     

SSTS: A syntactic tool for pattern search on time series

Nowadays, data scientists are capable of manipulating and extracting complex information from time series data, given the current diversity of tools at their disposal. However, the plethora of tools that target data exploration and pattern search may require an extensive amount of time to develop methods that correspond to the data scientist's reasoning, in order to solve their queries. The development of new methods, tightly related with the reasoning and visual analysis of time series data, is of great relevance to improving complexity and productivity of pattern and query search tasks. In this work, we propose a novel tool, capable of exploring time series data for pattern and query search tasks in a set of 3 symbolic steps: Pre-Processing, Symbolic Connotation and Search. The framework is called SSTS (Symbolic Search in Time Series) and uses regular expression queries to search the desired patterns in a symbolic representation of the signal. By adopting a set of symbolic methods, this approach has the purpose of increasing the expressiveness in solving standard pattern and query tasks, enabling the creation of queries more closely related to the reasoning and visual analysis of the signal. We demonstrate the tool's effectiveness by presenting 9 examples with several types of queries on time series. The SSTS queries were compared with standard code developed in Python, in terms of cognitive effort, vocabulary required, code length, volume, interpretation and difficulty metrics based on the Halstead complexity measures. The results demonstrate that this methodology is a valid approach and delivers a new abstraction layer on data analysis of time series.     

Adult Learning Experiences from an Aquarium Visit: The role of Social Interactions in Family Groups

Abstract How and what adults learn in the context of a family visit to an aquarium is a valuable and important question to ask, given the significance of this demographic to institutions such as these. Based on a larger empirical work,¹ this paper reports on the nature and character of adult learning within a family group context while visiting the Vancouver Aquarium Marine Science Centre (Canada), and the longitudinal effects of such experience in the weeks following the visit. In this study a multiple or collective instrumental case study approach was employed to examine the learning experiences of the adult members of 13 family groups; this approach demonstrates that adults visiting the aquarium as part of a family group are active social learners and not merely facilitators of the experience for younger visitors or caregivers. Our outcomes also indicate that the adult members of the participant family groups learned in a multiplicity of domains including the cognitive, the social, and the affective, as a result of their visit to the Vancouver Aquarium. In addition, we discuss the longitudinal impacts of the aquarium visit and provide valuable insights as to the relevance of these experiences in visitors' everyday lives.     

Embodied cognition as grounding for situatedness and context in mathematics education

In this paper we analyze, from the perspective of 'Embodied Cognition', why learning and cognition are situated and context-dependent. We argue that the nature of situated learning and cognition cannot be fully understood by focusing only on social, cultural and contextual factors. These factors are themselves further situated and made comprehensible by the shared biology and fundamental bodily experiences of human beings. Thus cognition itself is embodied, and the bodily-grounded nature of cognition provides a foundation for social situatedness, entails a reconceptualization of cognition and mathematics itself, and has important consequences for mathematics education. After framing some theoretical notions of embodied cognition in the perspective of modern cognitive science, we analyze a case study – continuity of functions. We use conceptual metaphor theory to show how embodied cognition, while providing grounding for situatedness, also gives fruitful results in analyzing the cognitive difficulties underlying the understanding of continuity. This revised version was published online in July 2006 with corrections to the Cover Date.     

Prediction model for the inclusion of key competences in the primary school curriculum through the teachers’ perceptions in the Region de Murcia / Modelo de predicción para la inclusión de las competencias en el currículo de educación primaria según la percepción del profesorado de la Región de Murcia

The purposes of this paper were twofold: (a) to analyse primary school teachers’ perceptions of the inclusion of the key competences in the curriculum; and (b) to test a hypothetical prediction model about the inclusion of the key competences in the curriculum according to their perceptions. The participants were 1,010 teachers from 110 schools. The results showed that the teachers need training on this new competency-based approach to teaching, learning and evaluation. The hypothetical prediction model confirmed the high predictiveness of pre-service teacher education and continuous professional development regarding the proper development of the main elements of competency-based learning which contribute to achieving the purposes of today’s education. One of the possible recommendations that could facilitate the inclusion of the key competences in the curriculum according to their perception is teacher training geared towards pedagogical models adapted to the reality of teaching today which optimize teachers’ professional performance and students’ academic achievement.     

Ignoring taboos: Maria Lenk, Latin American inspirationalist

Maria Lenk is widely recognized as an exceptional athlete who participated in women's sport from around 1930 until 1950. In 1932, at the age of seventeen, she was the first woman to be included in a Latin American delegation to the Olympic Games. As a swimmer, she still sets world records at the age of eighty-six. This super-champion's sporting achievements and her persistent dedication to the advancement of sport still impress and surprise todays professional swimmers and researchers. Contextualised in the male-dominated society of Brazil during the first half of the twentieth century, this chapter traces the achievement, and rise to international fame, of Maria Lenk. It examines the factors that enabled her to emerge not only as an important figure in sport but also as an icon of female emancipation in Brazilian and Latin American society. The focus is on Lenk's influence on the issues which affected the development of women's sport in Latin America. It also highlights the significance of Lenk's contribution to the changing place of women in Brazilian and South American society.     

Contingent Valuation and Semiparametric Methods: A Case Study of the National Museum of Sculpture in Valladolid, Spain

Research on cultural economics is very interested in the economic valuation of non-market goods, particularly in the field ofcultural heritage where contingent valuation techniques are currently being used with both parametric and non-parametric statistical methods to estimate the willingness to pay for cultural goods. In the literature analysed, the number of studies using semiparametric methods, however, is very limited. Our analysis is intended to help fill this gap by offering a parametric, non-parametric and semiparametric economic valuation of the National Museum of Sculpture (Museo Nacional de Escultura), located in Valladolid,Spain. In addition, we also gain insight on a controversial issue affecting most European museums, particularly those located in Latin countries: the role voluntary donations might play in the funding of public museums.     

PROBLEMS OF EQUIVALENCE OF STUDIES AND DIPLOMAS IN HIGHER EDUCATION SYSTEMS

This article Surveys the problems and the traps of equivalences in higher education and proposes solutions to the former and ways of avoiding the latter. To begin with, one must be clear as to basic concepts and be able to distinguish between recognition and equivalence, the second being synonymous with the first, if formal equivalence is what is meant. But the principal task is one of defining and granting so‐called real equivalence, that is, equivalence based on the comparison of educational programmes, contents, length of study, the methods and the results of evaluations, and appropriate assessments of the academic value of practical work. It is also necessary to be clear at the outset as to the purposes of a given equivalence: to permit further study in another country or to aid in securing employment in a given occupation in another country. A major problem relates to varying conceptions of what is specifically university education in relation to higher education as a whole; the weight to be granted to post‐secondary, non‐university training; the whole question of length of studies; and ambiguities relative to terminology. Although it will never be possible to formulate ideal solutions to all problems, the key to obtaining the best possible solution is to be found in the improvement of the availability of standardized information by the exploitation of such sources as Unesco statistics, student books, analyses of bilateral conventions for applicable analogies, and, eventually, the sort of diploma supplement which Carin Berg and Ulrich Teichler are recommending.     

Fluid intelligence as a predictor of learning: A longitudinal multilevel approach applied to math

The association between fluid intelligence and inter-individual differences was investigated using multilevel growth curve modeling applied to data measuring intra-individual improvement on math achievement tests. A sample of 166 students (88 boys and 78 girls), ranging in age from 11 to 14 (M = 12.3, SD = 0.64), was tested. These individuals took four math achievement tests, which were vertically equated via Item Response Theory, at the beginning and end of the seventh and eighth grade. The cognitive abilities studied were Numerical Reasoning, Abstract Reasoning, Verbal Reasoning, and Spatial Reasoning (as measured by the Differential Reasoning Test). The general cognitive factor was significantly associated with the parameters of initial level (intercept) and rate of change (slope). A high level of intelligence was associated with higher initial scores, as well as a steeper rise in math scores across the two years.