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.     

Disciplinary Literacies and Learning to Read for Understanding: A Conceptual Framework for Disciplinary Literacy

This article presents a framework and methodology for designing learning goals targeted at what students need to know and be able to do in order to attain high levels of literacy and achievement in three disciplinary areas—literature, science, and history. For each discipline, a team of researchers, teachers, and specialists in that discipline engaged in conceptual meta-analysis of theory and research on the reading, reasoning, and inquiry practices exhibited by disciplinary experts as contrasted with novices. Each team identified discipline-specific clusters of types of knowledge. Across teams, the clusters for each discipline were grouped into 5 higher order categories of core constructs: (a) epistemology; (b) inquiry practices/strategies of reasoning; (c) overarching concepts, themes, and frameworks; (d) forms of information representation/types of texts; and (e) discourse and language structures. The substance of the clusters gave rise to discipline-specific goals and tasks involved in reading across multiple texts, as well as reading, reasoning, and argumentation practices tailored to discipline-specific criteria for evidence-based knowledge claims. The framework of constructs and processes provides a valuable tool for researchers and classroom teachers' (re)conceptualizations of literacy and argumentation learning goals in their specific disciplines.     

Adolescents earlier diagnosed as dyslexic show major IQ declines on the WISC-III

Adolescents (n=43) previously diagnosed as dyslexic/reading disabled had markedly lower IQ scores on the newly standardized Wechsler Intelligence Scale for Children (WISC-III) than on the earlier administered WISC-R. The declines for Verbal, Performance, and Full Scale IQs were 10, 12, and 11 points, respectively, which were twice as great as in a subset of the standardization sample given both versions of the WISC. The adolescents did not show a significant decline in standard scores from the Wide Range Achievement Test (Level I to Level II). However, only two subjects had current reading and spelling standard scores above the 25th percentile. The impact of lower WISC-III IQs on guidelines for classification of students as learning disabled is discussed.