Understanding the information literacy experiences of EFL (English as a Foreign Language) students

Purpose – This paper outlines research that explores the information literacy experiences of EFL (English as a Foreign Language) students. The question explored in this research was: how do EFL students experience information literacy. Design/Methodology/Approach – This study used phenomenography, a relational approach to explore the information literacy experiences of EFL students. Phenomenography studies the qualitatively different ways a phenomenon is experienced in the world around us. Findings – This research revealed that EFL students experienced information literacy in four qualitatively different ways. The four categories revealed through the data were: process, quality, language and knowledge. This research found that language impacted on EFL students’ experiences of information literacy and revealed that EFL students applied various techniques and strategies when they read, understood, organised and translated information. Research limitations/implications – This research was conducted in a specific cultural and educational context, therefore the results might not reflect the experiences of EFL students in other cultural or educational contexts. Practical implications – The findings from this research offer an important contribution to information literacy practice by providing important insights about EFL students’ experiences and perceptions of information and learning that can be used to inform curriculum development in second language learning contexts. Originality/Value - There is currently a lack of research using a relational approach to investigate EFL students’ experiences of information literacy. There is also limited research that explores the impact language has on information literary and learning in English as a foreign or second language contexts.

An adaptive spherical view representation for navigation in changing environments

Real-world environments such as houses and offices change over time, meaning that a mobile robot’s map will become out of date. In previous work we introduced a method to update the reference views in a topological map so that a mobile robot could continue to localize itself in a changing environment using omni-directional vision. In this work we extend this longterm updating mechanism to incorporate a spherical metric representation of the observed visual features for each node in the topological map. Using multi-view geometry we are then able to estimate the heading of the robot, in order to enable navigation between the nodes of the map, and to simultaneously adapt the spherical view representation in response to environmental changes. The results demonstrate the persistent performance of the proposed system in a long-term experiment.

Long-term experiments with an adaptive spherical view representation for navigation in changing environments

Real-world environments such as houses and offices change over time, meaning that a mobile robot’s map will become out of date. In this work, we introduce a method to update the reference views in a hybrid metrictopological map so that a mobile robot can continue to localize itself in a changing environment. The updating mechanism, based on the multi-store model of human memory, incorporates a spherical metric representation of the observed visual features for each node in the map, which enables the robot to estimate its heading and navigate using multi-view geometry, as well as representing the local 3D geometry of the environment. A series of experiments demonstrate the persistence performance of the proposed system in real changing environments, including analysis of the long-term stability.

Predicting sense convergence with distributional semantics : an application to the CogALex-IV 2014 shared task

This paper presents our system to address the CogALex-IV 2014 shared task of identifying a single word most semantically related to a group of 5 words (queries). Our system uses an implementation of a neural language model and identifies the answer word by finding the most semantically similar word representation to the sum of the query representations. It is a fully unsupervised system which learns on around 20% of the UkWaC corpus. It correctly identifies 85 exact correct targets out of 2,000 queries, 285 approximate targets in lists of 5 suggestions.

Multiliteracies pedagogy : creating claymations with adolescent, post-beginner English language learners

In addressing literacy in high school education, it is important to foreground the particular issues faced by growing numbers of English Language Learners (ELLs). In our increasingly culturally and linguistically diverse classrooms, this is a matter for all literacy teachers, as well as ELL specialists. In Australia, teachers of ELLs are experimenting with Multiliteracies pedagogy which provides rich opportunities to explore language learning experiences and outcomes that stretch beyond exercises in reproduction in written and oral modes only. This paper documents the practice of a high school teacher who uses a claymation project, producing a movie by stop-motion filming of clay figures, with a class of low-level English literacy learners. Drawing on observations of three particular students, the paper outlines a number of possibilities of this approach for English language learners. These include increased individual agency; enhanced engagement through collaboration; and the opportunity to explore various elements of multimodal text design.

To see and be seen : cinematic constructions of gender and spectatorship in contemporary screen-based art

To See and Be Seen: Cinematic Constructions of Gender and Spectatorship in Contemporary Screen-Based Art addresses how gendered representation can be structured within visual art practice through a series of creative moving-image works. Using the aesthetic language of French New Wave cinema as its primary point of departure, this research project investigates how gendered representations are constructed by cinematic language. In doing this, it proposes latent possibilities present within the dominant gaze created by patriarchal relations of power. This project, in a series of creative works, demonstrates how the 'masculine' authorial gaze is learnt culturally, and by examining the gendered syntax of film, reveals how this can be recontextualised by the female artist.

Representation of facial expression categories in continuous arousal-valence space: Feature and correlation

Representation of facial expressions using continuous dimensions has shown to be inherently more expressive and psychologically meaningful than using categorized emotions, and thus has gained increasing attention over recent years. Many sub-problems have arisen in this new field that remain only partially understood. A comparison of the regression performance of different texture and geometric features and investigation of the correlations between continuous dimensional axes and basic categorized emotions are two of these. This paper presents empirical studies addressing these problems, and it reports results from an evaluation of different methods for detecting spontaneous facial expressions within the arousal-valence dimensional space (AV). The evaluation compares the performance of texture features (SIFT, Gabor, LBP) against geometric features (FAP-based distances), and the fusion of the two. It also compares the prediction of arousal and valence, obtained using the best fusion method, to the corresponding ground truths. Spatial distribution, shift, similarity, and correlation are considered for the six basic categorized emotions (i.e. anger, disgust, fear, happiness, sadness, surprise). Using the NVIE database, results show that the fusion of LBP and FAP features performs the best. The results from the NVIE and FEEDTUM databases reveal novel findings about the correlations of arousal and valence dimensions to each of six basic emotion categories.

Dismantling worker categories: the primary duty of care, and worker consultation, participation and representation, in the model Work Health and Safety Bill 2009

Late in 2009, the Australian Workplace Relations Ministers' Council endorsed the model Work Health and Safety Bill 2009, which is to be adopted by all Australian governments (federal, state and territory) from 01 January 2012. This paper describes and analyses two key sets of provisions in this model legislation. The first establishes a 'primary' duty of care imposed not on 'employers' but on persons conducting a business or undertaking, and owed to all kinds of workers engaged, directed or influenced by the person conducting the business or undertaking. The second encompasses broad duties on all persons conducting a business or undertaking to consult with workers who carry out work for the business or undertaking and who are directly affected by a work health and safety issue, and to facilitate the election of health and safety representatives representing all workers who carry out work for the business or undertaking. These provisions arguably make a significant contribution to solving a problem faced by occupational safety and health regulators around the world – modifying regulation to accommodate all forms of precarious work.

Critical linguistics in the early years : exploring functions of language through sophisticated picture books and process drama strategies

In this chapter we describe a critical fairytales unit taught to 4.5 to 5.5 year olds in a context of intensifying pressure to raise literacy achievement. The unit was infused with lessons on reinterpreted fairytales followed by process drama activities built around a sophisticated picture book, Beware of the Bears (MacDonald, 2004). The latter entailed a text analytic approach to critical literacy derived from systemic functional linguistics (Halliday, 1978; Halliday & Matthiessen, 2004). This approach provides a way of analysing how words and discourse are used to represent the world in a particular way and shape reader relations with the author in a particular field (Janks, 2010).

eARTh : the dynamics of ontological representation

This Australian Indigenous creactive work and its Treatise promote ways of thinking about practice and research that extend well beyond the current discourse. It invites re-thinking on how research can be practice-led in new ways, and what that might mean for future students. When discussing the challenges of today, this work signifies how "Western Style" thinking and theory is wanting in so many ways. It engages a new dynamic and innovative way of theorising, encouraging future students to apply their full capacity of energy and wisdom. (Extract from examiners' reports.)

An efficient tagging data interpretation and representation scheme for item recommendation

A tag-based item recommendation method generates an ordered list of items, likely interesting to a particular user, using the users past tagging behaviour. However, the users tagging behaviour varies in different tagging systems. A potential problem in generating quality recommendation is how to build user profiles, that interprets user behaviour to be effectively used, in recommendation models. Generally, the recommendation methods are made to work with specific types of user profiles, and may not work well with different datasets. In this paper, we investigate several tagging data interpretation and representation schemes that can lead to building an effective user profile. We discuss the various benefits a scheme brings to a recommendation method by highlighting the representative features of user tagging behaviours on a specific dataset. Empirical analysis shows that each interpretation scheme forms a distinct data representation which eventually affects the recommendation result. Results on various datasets show that an interpretation scheme should be selected based on the dominant usage in the tagging data (i.e. either higher amount of tags or higher amount of items present). The usage represents the characteristic of user tagging behaviour in the system. The results also demonstrate how the scheme is able to address the cold-start user problem.

Text mining with semantic annotation : using enriched text representation for entity-oriented retrieval, semantic relation identification and text clustering

This project is a step forward in the study of text mining where enhanced text representation with semantic information plays a significant role. It develops effective methods of entity-oriented retrieval, semantic relation identification and text clustering utilizing semantically annotated data. These methods are based on enriched text representation generated by introducing semantic information extracted from Wikipedia into the input text data. The proposed methods are evaluated against several start-of-art benchmarking methods on real-life data-sets. In particular, this thesis improves the performance of entity-oriented retrieval, identifies different lexical forms for an entity relation and handles clustering documents with multiple feature spaces.

Towards a spatial language for mobile robots

We present a framework and first set of simulations for evolving a language for communicating about space. The framework comprises two components: (1) An established mobile robot platform, RatSLAM, which has a "brain" architecture based on rodent hippocampus with the ability to integrate visual and odometric cues to create internal maps of its environment. (2) A language learning system based on a neural network architecture that has been designed and implemented with the ability to evolve generalizable languages which can be learned by naive learners. A study using visual scenes and internal maps streamed from the simulated world of the robots to evolve languages is presented. This study investigated the structure of the evolved languages showing that with these inputs, expressive languages can effectively categorize the world. Ongoing studies are extending these investigations to evolve languages that use the full power of the robots representations in populations of agents.

Language change in socially structured populations

Language contact is a significant external social factor that impacts on the change in natural languages over time. In some circumstances this corresponds to language competition, in which individuals in a population choose one language over another based on their social interactions. We investigated the dynamics of language change in two initially separate populations of agents that were then mixed with levels of influence determined by the social classes of the two populations, with 16 different combinations tested. As expected, the study found that how the communities interact with each other impacts on the communal language developed. However, it was also found that the acquisition of new words was substantial even with limited interaction between populations and low levels of influence, and that comprehension could be well established across language groups even when production of words from the other language group was low.