Word searches: on the use of verbal and non-verbal resources during classroom talk

Word finding difficulties in children are typically characterised by search behaviours such as silence, circumlocution, repetition and empty words. Yet, how children’s word searches are constructed (including gesture, gaze and prosody) and the actions accomplished during interaction have not yet been researched. In this study, eightyear- old Ciara is interacting with her teacher in the classroom. 37 segments containing word searches were analysed according to the procedures used by conversation analysts. Ciara’s interactional resources include co-ordinated deployment of syntax, pitch height and downward gaze during solitary searching that assist the enterprise of self-repair. Gaze shift towards the teacher signals a transition relevance place, thus constituting a direct invitation for her to participate in the search. Ciara’s interactional resources include semantic category labelling, phonological self-cuing and pronominal substitution that supply valuable linguistic information to the teacher and trigger production of the searched-for item. Recommendations for language teaching and therapy are presented

Integrating explanation-based and empirical learning methods in OCCAM

This paper discusses an approach to integrating empirical and explanation based learning techniques. The paper focuses on OCCAM, a program that has the capability to acquire via empirical means the knowledge needed for analytical learning. Two examples of this capability are discussed:The ability to use empirical techniques to acquire a domain theory for explanation based learning.The ability to use empirical learning techniques to find common patterns for causal relationships. These patterns encode a theory of causality (i.e., a set of general principles for recognizing causal relationships). Once acquired, a theory of causality can facilitate later learning by focusing on hypotheses which are consistent with the theory

The value of learning geometry with ICT: lessons from innovative educational research

This chapter reviews research on using ICT to support the teaching of geometry. The research selected focuses on learners’ use of interactive geometry software, the design of suitable teaching and learning activities, and the nature of relevant teacher professional development. The central theme of the chapter is that while ICT has considerable potential in enlivening the teaching and learning of school mathematics (and geometry in particular), there is much to take account of in terms of enabling this potential to be fully realise

Emotion resonance and divergence: a semiotic analysis of music and sound in 'The Lost Thing', an animated short film and 'Elizabeth' a film trailer

Music and sound contributions of interpersonal meaning to film narratives may be different from or similar to meanings made by language and image, and dynamic interactions between several modalities may generate new story messages. Such interpretive potentials of music and voice sound in motion pictures are rarely considered in social semiotic investigations of intermodality. This paper therefore shares two semiotic studies of distinct and combined music, English speech and image systems in an animated short film and a promotional filmtrailer. The paper considers the impact of music and voice sound on interpretations of film narrative meanings. A music system relevant to the analysis of filmic emotion is proposed. Examples show how music and intonation contribute meaning to lexical, visual and gestural elements of the cinematic spaces. Also described are relations of divergence and resonance between emotion types in various couplings of music, intonation, words and images across story phases. The research is relevant to educational knowledge about sound, and semiotic studies of multimodality

Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization

In the past decades, massive efforts involving companies, non-profit organizations, governments, and others have been put into supporting the concept of data democratization, promoting initiatives to educate people to confront information with data. Although this represents one of the most critical advances in our free world, access to data without concrete facts to check or the lack of an expert to help on understanding the existing patterns hampers its intrinsic value and lessens its democratization. So the benefits of giving full access to data will only be impactful if we go a step further and support the Data Analytics Democratization, assisting users in transforming findings into insights without the need of domain experts to promote unconstrained access to data interpretation and verification. In this paper, we present Explainable Patterns (ExPatt), a new framework to support lay users in exploring and creating data storytellings, automatically generating plausible explanations for observed or selected findings using an external (textual) source of information, avoiding or reducing the need for domain experts. ExPatt applicability is confirmed via different use-cases involving world demographics indicators and Wikipedia as an external source of explanations, showing how it can be used in practice towards the data analytics democratization.Comment: 8 Figures, 10 pages, submitted to VIS 202

Multinational lessons from local and regional economic development agencies

This paper discusses the commonalities and differences in local and regional economic development (LRED) across England, Northern Ireland, Australia and the US. The focus is on four themes: the institutional characteristics of the respondents; governance, partners and partnerships; the objectives, regional capacity building and business service activities of responding agencies; and the self-assessment of effectiveness by LRED organisations. Our analysis is based on a survey of LRED agencies in the above-noted countries using a common questionnaire that was slightly adapted for each study area. Using logistic regression, we identify the practices and strategies of local and regional economic development agencies that are associated with higher levels of effectiveness. When all participating nations’ LRED organisations are jointly evaluated, several practices emerge as being positively related to agency performance including being actively involved in industrial estates, labour training and recruitment, marketing the agency’s region to international markets, and promoting industry clusters. Also showing as being positively related to performance are variables identifying whether or not the agency subsidized relocation costs for new businesses, helps local companies access venture capital, engages in education and training programs targeted at youths, and enhances networking opportunities for local business people. Interestingly, we found statistically significant negative relationships between agency effectiveness and engaging in tourism promotion activities, training minority groups, and conducting target industry studies, though this may reflect a correlation between certain activities and problematic economic environments. Though our research methodology of relying on self-assessed performance measures does not allow us to draw sweeping conclusions, we are confident that these findings provide a beginning for identifying a set of best practices that are appropriate for LRED organisations in a multinational setting.

Behavioural Evidence Analysis Applied to Digital Forensics: An Empirical Analysis of Child Pornography Cases using P2P Networks

The utility of Behavioural Evidence Analysis (BEA) has gained attention in the field of Digital Forensics in recent years. It has been recognized that, along with technical examination of digital evidence, it is important to learn as much as possible about the individuals behind an offence, the victim(s) and the dynamics of a crime. This can assist the investigator in producing a more accurate and complete reconstruction of the crime, in interpreting associated digital evidence, and with the description of investigative findings. Despite these potential benefits, the literature shows limited use of BEA for the investigation of cases of the possession and dissemination of Sexually Exploitative Imagery of Children (SEIC). This paper represents a step towards filling this gap. It reports on the forensic analysis of 15 SEIC cases involving P2P filesharing networks, obtained from the Dubai Police. Results confirmed the predicted benefits and indicate that BEA can assist digital forensic practitioners and prosecutors