Foundations of dynamic learning analytics: Using university student data to increase retention

With digitisation and the rise of e‐learning have come a range of computational tools and approaches that have allowed educators to better support the learners' experience in schools, colleges and universities. The move away from traditional paper‐based course materials, registration, admissions and support services to the mobile, always‐on and always accessible data has driven demand for information and generated new forms of data observable through consumption behaviours. These changes have led to a plethora of data sets that store learning content and track user behaviours. Most recently, new data analytics approaches are creating new ways of understanding trends and behaviours in students that can be used to improve learning design, strengthen student retention, provide early warning signals concerning individual students and help to personalise the learner's experience. This paper proposes a foundational learning analytics model (LAM) for higher education that focuses on the dynamic interaction of stakeholders with their data supported by visual analytics, such as self‐organising maps, to generate conversations, shared inquiry and solution‐seeking. The model can be applied for other educational institutions interested in using learning analytics processes to support personalised learning and support services. Further work is testing its efficacy in increasing student retention rates.     

Wentzel,Kathryn R & Brophy,Jere E (2014) Motivating students to learn Routledge (New York & London) isbn 978‐0‐415‐89352‐7 301 pp £39.99 http://www.routledge.com/books/details/9780415893527/

The authors of Motivating students to learn offer teachers evidence‐based classroom strategies to motivate their students. This fourth edition draws comprehensively on current psychological and educational research on student motivation and extrapolates this to implications for teaching practice in the classroom. This book's aim is primarily school teachers but it may also be of interest to people in further and higher education. If you think this book's content could be relevant, I suggest you borrow a copy to decide whether it's worth buying. Sara Hammer     

Identification of Early Risk Factors for Developmental Delay

Statewide birth certificate and preschool exceptionality records were integrated to identify risk factors for developmental delay (DD). Epidemiological methods were used to investigate both individual-level and population-level risk for DD associated with a number of child and maternal factors. Infants born with very low birth weight were at the greatest individual-level risk for DD, whereas prematurity (gestational age less than 37 weeks) and low maternal education posed the greatest population-level risk. For comparative purposes, individual-level risk for speech disability and other developmental disabilities was also determined. The individual-level risk associated with nearly all factors was significantly greater for DD than for speech disability or other developmental disabilities. The present study suggests that information available from birth certificate records can be used to target screening and early intervention services for children at high risk with the goal of reducing the incidence of DD and subsequent associated disabilities.     

Suggestions for the study of individual speech cases

Group libel legislation has been discussed by First Amendment scholars for more than two decades. The increasing activism of neo‐nazi and other hate groups has caused renewed efforts to enact group defamation laws. In this essay the history, constitutionality, and advisability of such legislation is discussed.