A multidimensional evaluation framework for personal learning environments

Evaluating highly dynamic and heterogeneous Personal Learning Environments (PLEs) is extremely challenging. Components of PLEs are selected and configured by individual users based on their personal preferences, needs, and goals. Moreover, the systems usually evolve over time based on contextual opportunities and constraints. As such dynamic systems have no predefined configurations and user interfaces, traditional evaluation methods often fall short or are even inappropriate. Obviously, a host of factors influence the extent to which a PLE successfully supports a learner to achieve specific learning outcomes. We categorize such factors along four major dimensions: technological, organizational, psycho-pedagogical, and social. Each dimension is informed by relevant theoretical models (e.g., Information System Success Model, Community of Practice, self-regulated learning) and subsumes a set of metrics that can be assessed with a range of approaches. Among others, usability and user experience play an indispensable role in acceptance and diffusion of the innovative technologies exemplified by PLEs. Traditional quantitative and qualitative methods such as questionnaire and interview should be deployed alongside emergent ones such as learning analytics (e.g., context-aware metadata) and narrative-based methods. Crucial for maximal validity of the evaluation is the triangulation of empirical findings with multi-perspective (end-users, developers, and researchers), mixed-method (qualitative, quantitative) data sources. The framework utilizes a cyclic process to integrate findings across cases with a cross-case analysis in order to gain deeper insights into the intriguing questions of how and why PLEs work

An organelle-specific protein landscape identifies novel diseases and molecular mechanisms

Contains fulltext : 158967.pdf (publisher's version ) (Open Access)Cellular organelles provide opportunities to relate biological mechanisms to disease. Here we use affinity proteomics, genetics and cell biology to interrogate cilia: poorly understood organelles, where defects cause genetic diseases. Two hundred and seventeen tagged human ciliary proteins create a final landscape of 1,319 proteins, 4,905 interactions and 52 complexes. Reverse tagging, repetition of purifications and statistical analyses, produce a high-resolution network that reveals organelle-specific interactions and complexes not apparent in larger studies, and links vesicle transport, the cytoskeleton, signalling and ubiquitination to ciliary signalling and proteostasis. We observe sub-complexes in exocyst and intraflagellar transport complexes, which we validate biochemically, and by probing structurally predicted, disruptive, genetic variants from ciliary disease patients. The landscape suggests other genetic diseases could be ciliary including 3M syndrome. We show that 3M genes are involved in ciliogenesis, and that patient fibroblasts lack cilia. Overall, this organelle-specific targeting strategy shows considerable promise for Systems Medicine

Measurement of detector-corrected observables sensitive to the anomalous production of events with jets and large missing transverse momentum in pp collisions at √s=13 TeV using the ATLAS detector

Observables sensitive to the anomalous production of events containing hadronic jets and missing momentum in the plane transverse to the proton beams at the Large Hadron Collider are presented. The observables are defined as a ratio of cross sections, for events containing jets and large missing transverse momentum to events containing jets and a pair of charged leptons from the decay of a Z/γ ∗ boson. This definition minimises experimental and theoretical systematic uncertainties in the measurements. This ratio is measured differentially with respect to a number of kinematic properties of the hadronic system in two phase-space regions; one inclusive single-jet region and one region sensitive to vectorboson- fusion topologies. The data are found to be in agreement with the Standard Model predictions and used to constrain a variety of theoretical models for dark-matter production, including simplified models, effective field theory models, and invisible decays of the Higgs boson. The measurements use 3.2 fb−1 of proton–proton collision data recorded by the ATLAS experiment at a centre-of-mass energy of 13TeV and are fully corrected for detector effects, meaning that the data can be used to constrain new-physics models beyond those shown in this paper

The University of Cambridge, academic expertise and the British empire, 1885–1962

This paper was accepted for publication in the journal Environment and Planning A: International Journal of Urban and Regional Research. The final published version will be available at: http://dx.doi.org/10.1177/0308518X15594802This paper examines how imperial travel of British academics shaped the production of knowledge and colonial policy from the 1880s to the 1960s. It employs an innovative, archive based methodology that examines the changing geographies of all recorded academic travel from the University of Cambridge in conjunction with the extensive overseas journeys of Sir Frank Leonard Engledow, Drapers’ Professor of Agriculture from 1930 to 1957 and a key advisor to the Colonial Office on tropical agriculture. Drawing on recent work in geography and science studies, this study outlines how scientific expertise was increasingly sought by colonial governments at the eve of decolonisation due to a lack of scientific infrastructure and growing social upheavals in the colonies. The analysis discusses related geographical shifts in the engagement of British academics with the colonial world and identifies a profound deepening of the uneven integration of different areas of empire into academic networks after 1945. Based on Engledow’s contribution to the Moyne Commission on theWest Indies (1938–1939) and ensuing colonial reform, it is argued that he represented, like many other late colonial British academic experts, a distinctively post- Victorian imperialist, whose strong belief in Christian faith, racial differences, colonial networks, humanitarianism, science and planning created an ambivalent positionality that explains why his expertise both supported and undermined colonial rule

Mutations in ARMC9, which Encodes a Basal Body Protein, Cause Joubert Syndrome in Humans and Ciliopathy Phenotypes in Zebrafish

Joubert syndrome (JS) is a recessive neurodevelopmental disorder characterized by hypotonia, ataxia, abnormal eye movements, and variable cognitive impairment. It is defined by a distinctive brain malformation known as the "molar tooth sign" on axial MRI. Subsets of affected individuals have malformations such as coloboma, polydactyly, and encephalocele, as well as progressive retinal dystrophy, fibrocystic kidney disease, and liver fibrosis. More than 35 genes have been associated with JS, but in a subset of families the genetic cause remains unknown. All of the gene products localize in and around the primary cilium, making JS a canonical ciliopathy. Ciliopathies are unified by their overlapping clinical features and underlying mechanisms involving ciliary dysfunction. In this work, we identify biallelic rare, predicted-deleterious ARMC9 variants (stop-gain, missense, splice-site, and single-exon deletion) in 11 individuals with JS from 8 families, accounting for approximately 1% of the disorder. The associated phenotypes range from isolated neurological involvement to JS with retinal dystrophy, additional brain abnormalities (e.g., heterotopia, Dandy-Walker malformation), pituitary insufficiency, and/or synpolydactyly. We show that ARMC9 localizes to the basal body of the cilium and is upregulated during ciliogenesis. Typical ciliopathy phenotypes (curved body shape, retinal dystrophy, coloboma, and decreased cilia) in a CRISPR/Cas9-engineered zebrafish mutant model provide additional support for ARMC9 as a ciliopathy-associated gene. Identifying ARMC9 mutations as a cause of JS takes us one step closer to a full genetic understanding of this important disorder and enables future functional work to define the central biological mechanisms underlying JS and other ciliopathies

Diversification and internationalization in the sociological study of science and religion

Classical sociology addressed the relationship between science and religion, but interest in the topic waned during the 20th century. A second wave of research has emerged in the 21st century, focusing on scientists' (ir)religiosity, evolution, and the relationship between knowledge and acceptance of scientific concepts. Most of this research has been conducted in the United States, used quantitative methods, and focused on creationism, although scholars have recently begun to explore different research methods and sites. Their results suggest that the “conflict thesis” is not valid and that publics and scientists' views tend to be fluid and strongly shaped by national context. The literature on nonreligion has also expanded, but its connection to science remains ripe for further development. A more intersectional approach would also benefit the field, as would increased engagement between public understanding of science scholars and sociologists studying science and religion. Research in both areas is showing that attitudes toward science and religion cannot be understood solely in terms of knowledge about either domain. There is scope for more empirical and theoretical work internationally eschewing the assumption that science and religion conflict and focusing more on identity, culture, and power relations