The identification of four characteristics of children’s spirituality in Australian Catholic primary schools

In taking its theoretical impetus from hermeneutic phenomenology, the qualitative research reported in this paper aimed to identify characteristics of children’s spirituality in Australian Catholic primary schools. The videotaped life expressions of two groups of six children in each of three Australian Catholic primary schools formed the texts of this study. A reflection upon the texts, guided by van Manen’s lifeworld existentials, resulted in the identification of four characteristics of these children’s spirituality – the felt sense, integrating awareness, weaving the threads of meaning, and spiritual questing. In the light of these findings, some pedagogical implications for nurturing spirituality through the primary religious education curriculum in Catholic schools are proposed.     

Learning beyond the surface: engaging the cognitive,affective and spiritual dimensions within the curriculum

In Australia the separation of mind, body and spirit by secular society has had a significant influence on educational trends. An outcomes‐based approach to education, with an emphasis on cognitive learning, has meant that the affective and spiritual dimensions of students' lives have often been understated. Classroom programs in religious education have been affected by this educational climate where the pendulum has swung in favour of the achievement of cognitive learning outcomes. The cognitive dimension of learning is an integral part of the learning dynamic. However the roles of thinking, feeling and reflecting/intuiting are complementary within this process. Religious education is one curriculum area that can effectively address the interplay between the cognitive, affective and spiritual dimensions of learning. This paper outlines a model explored with pre‐service teachers at a publicly funded Catholic university. This model addresses the complementarity of the cognitive, affective and spiritual dimensions of learning. Examples of pre‐service teachers' work are drawn upon to demonstrate the interplay of these dimensions and to show how in practice this might be achieved within school curricula.     

False recollection in children with reading comprehension difficulties

Children with reading comprehension difficulties display impaired performance on semantic processing tasks. These impairments are assumed to reflect weaker knowledge about abstract semantic associations between words in poor comprehenders [Nation, K., and Snowling, M. (1999). Developmental differences in sensitivity to semantic relations among good and poor comprehenders: evidence from semantic priming. Cognition, 19, B1-B13.]. We examined the performance of poor comprehenders on the Deese/Roediger/McDermott (DRM) paradigm. Children studied spoken words that were semantic associates (e.g., bed, rest, and awake) or phonological associates (e.g., pole, bowl, and hole) followed by free recall and a recognition test containing nonstudied critical words (e.g., sleep and roll). Results showed reduced recall and recognition of critical words in the semantic condition but not in the phonological condition for poor comprehenders. We argue that poor comprehenders are less sensitive to abstract semantic associations between words because of reduced gist memory.     

Predictors of timed picture naming in Chinese

We report normative data collected from Mainland Chinese speakers for 232 objects taken from Snodgrass and Vanderwart (1980). These data include adult ratings of concept familiarity, age of acquisition (AoA), printedword frequency, and word length (in syllables), as well as measures of rated visual complexity, image agreement, and name agreement. We then examined timed picture naming of these objects with native Chinese speakers in Beijing in two experiments using line drawings and colored pictures. In both experiments, the variables name agreement, rated concept familiarity, and AoA made significant independent contributions to naming latency in multiple regression analyses. We observed a correlation ofr=.85 between naming latency with line drawings and colored pictures and a reduced effect of image agreement on naming when colored pictures were presented. We discuss the implications of our findings for the study of lexical processing in Chinese. Normative data for 232 Chinese nouns may be downloaded from www.psychonomic.org/archive     

The Role of Negative Information in Distributional Semantic Learning

Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred to as neural embedding models, are based on a prediction process embedded in the functioning of a neural network: Such models predict words that should surround a target word in a given context (e.g., word2vec; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013). An error signal derived from the prediction is used to update each word's representation via backpropagation. However, another key difference in predictive models is their use of negative information in addition to positive information to develop a semantic representation. The models use negative examples to predict words that should not surround a word in a given context. As before, an error signal derived from the prediction prompts an update of the word's representation, a procedure referred to as negative sampling. Standard uses of word2vec recommend a greater or equal ratio of negative to positive sampling. The use of negative information in developing a representation of semantic information is often thought to be intimately associated with word2vec's prediction process. We assess the role of negative information in developing a semantic representation and show that its power does not reflect the use of a prediction mechanism. Finally, we show how negative information can be efficiently integrated into classic count‐based semantic models using parameter‐free analytical transformations.     

Big History,Value, and the Art of Continued Existence

Philosophia - There has lately been substantial interest in scrutinizing our evaluative attitudes in light of our evolutionary history. However, these discussions have been hampered by an...