Making sense of learner and learning Big Data: reviewing five years of Data Wrangling at the Open University UK

Most distance learning institutions collect vast amounts of learning data. Making sense of this ‘Big Data’ can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated in 2012 a Data Wrangling initiative. This provided every Faculty with a dedicated academic with expertise data analysis and whose task is to provide strategic, pedagogical and sense-making advice to staff and senior management. Given substantial changes within the OU (e.g. new Faculty structure, real-time dashboards, two large-scale adoptions of predictive analytics approaches, increased reliance on analytics), this embedded case study provides an in-depth review of lessons learned of five years of data wrangling. We will elaborate on the design of the new structure, its strengths and potential weaknesses, and affordances to be adopted by other institutions.     

Transforming engagement: a case study of building intrinsic motivation in a child with autism

This longitudinal case study of a 10‐year‐old girl with autism and severe communication impairment measures the impact of the MORE (Means, Opportunities, Reasons and Expectations) approach to enhancing engagement and communication. Through detailed observation of video data over a period of 28 months, engagement behaviours including interaction with adults and following adult directions increased, while resistant behaviours such as kicking, hitting and pushing adults away decreased. Fluctuation between different ‘states’ demonstrated that the frequency and duration of engagement was influenced by the MORE approach and an emphasis on developing intrinsic motivation. In order to enable further efficacy research, core features of the intervention and the changes in engagement over time are described.     

Longitudinal study of preadolescent sport self-concept and performance: reciprocal effects and causal ordering

Do preadolescent sport self-concepts influence subsequent sport performance? Longitudinal data (Grades 3, 4, and 6) for young boys and girls (N= 1,135; mean age = 9.67) were used to test reciprocal effects model (REM) predictions that sport self-concept is both a cause and a consequence of sport accomplishments. Controlling prior sport performance (performance-based measures and teacher assessments), prior sport self-concept had positive effects on subsequent sport performance in both Grade 4 and Grade 6 and for both boys and girls. Coupled with previous REM studies of adolescents in the academic domain, this first test for preadolescents in the sport domain supports the generalizability of REM predictions over gender, self-concept domain, preadolescent ages, and the transition from primary to secondary school.     

Spelling development in 6–11‐year‐old Greek‐speaking Cypriot children

The aim of the present study was to examine the spelling development of Greek‐speaking children in the early school grades. Although Greek orthography is regular for reading, it is much less transparent as far as spelling is concerned. Spelling development was investigated using a word spelling task designed to explore the effects of word length, familiarity and spelling regularity. One hundred and fifty normally developing primary school children living in Cyprus took part in the study. Results suggest that the children employed both phonological and lexical strategies in spelling Greek words. Results indicated that sub‐lexical procedures were more marked for younger children, whereas lexical processing was employed more widely by older children. The findings are interpreted in terms of stage developmental models.     

The negative effect of school-average ability on science self-concept in the UK,the UK countries and the world: the Big-Fish-Little-Pond-Effect for PISA 2006

Research on the relation between students’ achievement (ACH) and their academic self-concept (ASC) has consistently shown a Big-Fish-Little-Pond-Effect (BFLPE); ASC is positively affected by individual ACH, but negatively affected by school-average ACH. Surprisingly, however, there are few good UK studies of the BFLPE and few anywhere in the world based on science self-concept (S-ASC). Addressing this substantive limitation in existing research with data from PISA 2006, we extend new multigroup doubly-latent multilevel structural equation models – a substantive-methodological synergy. BFLPE predictions for S-ASC are supported for: the total international sample; the total UK sample; each of the four UK countries considered separately. The BFLPE was marginally larger in the UK than the international sample. However, consistent with the selective nature of school systems in the UK, the BFLPE was larger in Northern Ireland and, to a lesser extent, England than in Scotland or Wales.