Engagement of Learners Undertaking Massive Open Online Courses and the Impact of Design

This thesis investigates the low levels of student engagement after registering to study for a massive open online course. To do this, it adopts a mixed methods approach (Gray, 2013) by analysing two large-scale surveys (120,842 and 1,800 responses respectively) and interviewing 12 learners. This was possible because access was given to 76 presentations of 19 MOOCs produced by The Open University on the FutureLearn platform. The aim of this thesis was to answer two research questions. Why do learners engage in massive open online courses (MOOCs), and what elements of the design of MOOCS encourage learner engagement? The analysis of 120,842 survey responses illustrated that learners across all the MOOCs investigated in this study were very focussed on personal interest, regardless of subject. Courses with subject material which focussed upon the future use of technology and educational technology were embarked upon for professional purposes secondary to personal interest. Learners interviewed who had not completed the MOOCs did not see themselves as disengaged but as having achieved their study goals. Learning designs of 19 MOOCs with learner activity and dashboard data from 800,038 enrolments and 425,792 learners were analysed with respect to the second research question. The activity data from 425,792 learners demonstrated they were more likely to engage with comments and to like comments on steps such as articles and videos than on discussion steps. Findings from the performance dashboard data (for example enrolment numbers) and learner activity data, coupled with learning designs, were analysed. From this, high-engagement steps (‘Super Steps’) were identified and isolated for analysis. This study discovered that learners preferred to engage with steps that the learning design framework classified as communicative or assimilative. Learners were more likely to engage with steps that posed questions within their titles, a previously unconsidered element within learning design

An Ex Vivo Model of Elastin Degradation in Porcine Carotid Arteries for the Study of Abdominal Aortic Aneurysms

Abdominal aortic aneurysms (AAA) are an area of dilation in the vessel that is greater than 3.0 cm in diameter or an area of the vessel that enlarged to greater than 50% of the vessel\u27s original diameter. AAA are generally asymptomatic and if ruptured, have a mortality rate of 78-83%. AAA account for approximately 45,000 surgeries performed in the United States annually and are the 13th leading cause of death in the United States. Alterations of two extracellular matrix proteins, elastin and collagen, are associated with the formation of abdominal aortic aneurysms. AAA formation is marked by degradation of elastin and collagen induced by matrix metalloproteinases (MMPs) as well as a decrease in the amount of smooth muscle cells in the artery. Elastase is the standard method of inducing an aneurysm in arterial tissue by breaking down the elastin fibers in the extracellular matrix. Numerous in vivo models have been published to induce the formation of an aneurysm using elastase, however there has yet to be model optimized in an ex vivo environment showing progressive AAA formation. An optimal ex vivo model is advantageous in the hopes of advancing aneurysmal research by studying abdominal aortic aneurysms through organ culture. This optimal ex vivo model should be consistent with previous in vivo models; diminished elastin content and smooth muscle cells and show presence of MMPs. Additionally, this model should minimize death of native cells in order to recapitulate an in vivo response and investigate the relationship between elastin damage and calcification. Therefore, our lab aims to produce an ex vivo model of elastase-induced elastin degradation in porcine carotid arteries that minimizes death of native cells

Necessary fictions: indigenous claims and the humanity of rights

Indigenous right insistently challenges the surpassing arrogations of sovereign right. In so doing, it affirms dimensions of being-together denied or stunted in sovereign modes of political formation. This force of Indigenous right is amplified here through legal and literary instantiations. These, in turn, uncover the continuously created and fictional quality of rights, revealing them to be necessary fictions

EN-BIRTH Data Collector Training - Handbook and Manual

The EN-BIRTH study aims to validate selected newborn and maternal indicators for routine facility-based tracking of coverage and quality of care for use at district, national and global levels. The item contains the EN-BIRTH_Trainer's Manual (14 June 2017) and EN-BIRTH_Training Handbook (23 May 2017)

EN-BIRTH Data Collector Training - Supporting Annexes

The EN-BIRTH study aims to validate selected newborn and maternal indicators for routine facility-based tracking of coverage and quality of care for use at district, national and global levels. The item contains consent forms and participant information, in addition to standard operating procedures (SOP) for adverse clinical events, and managing distress in interviews. The full complement of annex files used during the training can be requested via this site if required

The State of the Region: Hampton Roads 2018

[From the introductory material] This is Old Dominion University’s 19th annual State of the Region report. While it represents the work of many people connected in various ways to the university, the report does not constitute an official viewpoint of Old Dominion, its president, John R. Broderick, the Board of Visitors, the Strome College of Business or the generous donors who support the activities of the Dragas Center for Economic Analysis and Policy. The report maintains the goal of stimulating thought and discussion that will ultimately make Hampton Roads an even better place to live. We are proud of our region’s many successes and the key role we play in national security. We also realize that it is possible to improve our performance. To do so, we must have accurate, objective information about “where we stand” so we can move to “where we want to be.

EN-BIRTH Data Collection Tools

The EN-BIRTH study aims to validate selected newborn and maternal indicators for routine facility-based tracking of coverage and quality of care for use at district, national and global levels. The item contains the following data collection tools: Register data extraction, Observation checklist (labour and delivery ward), Observation checklist (kangaroo mother care), Patient record verification tools for antenatal corticosteroid administration, Patient record verification tools for antibiotic administration, and the Maternal recall survey

EN-BIRTH Data Collector Training – Training Module material

The EN-BIRTH study aims to validate selected newborn and maternal indicators for routine facility-based tracking of coverage and quality of care for use at district, national and global levels. The item contains PowerPoint slides used for the nine modules of the Data Collector's Training Programme delivered during May and June 2017. Module 1 (introduction) provides an overview of the training syllabus; Module 2 (Registration) helps tracking officers to understand their roles and responsibilities in the project and how to best execute them; Module 3 (Observation: Labour & Delivery) is intended to help Labour & Delivery observers to conduct themselves, and their work, in accordance with project guidelines and training handbook; Module 4 (Observation: Resuscitation - Nepal) covers the function of CCTV cameras and the value of collecting extra observation data from filmed clinical events; Module 5 (Observation: KMC) outlines expectations and practices to be applied by KMC (kangaroo mother care) observers; Module 6 (Data Extraction & Verification) outlines how data collectors should extract and verify register data and record information in the app extraction form in the L&D ward and KMC ward; Module 7 (Maternal Pre-discharge Recall Survey) outlines how to conduct high-quality interviews and administer the maternal pre-discharge recall survey; Module 8 (Supervision) equips supervisors with the skills to be good team managers, ensure team effectiveness and happiness, respond to incidents in the health facility, and monitor data quality; and finally Module 9 (Training Summary) provides a recap of key information taught over the week

Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn.

Sweet corn is one of the most important vegetables in the United States and Canada. Here, we present a de novo assembly of a sweet corn inbred line Ia453 with the mutated shrunken2-reference allele (Ia453-sh2). This mutation accumulates more sugar and is present in most commercial hybrids developed for the processing and fresh markets. The ten pseudochromosomes cover 92% of the total assembly and 99% of the estimated genome size, with a scaffold N50 of 222.2 Mb. This reference genome completely assembles the large structural variation that created the mutant sh2-R allele. Furthermore, comparative genomics analysis with six field corn genomes highlights differences in single-nucleotide polymorphisms, structural variations, and transposon composition. Phylogenetic analysis of 5,381 diverse maize and teosinte accessions reveals genetic relationships between sweet corn and other types of maize. Our results show evidence for a common origin in northern Mexico for modern sweet corn in the U.S. Finally, population genomic analysis identifies regions of the genome under selection and candidate genes associated with sweet corn traits, such as early flowering, endosperm composition, plant and tassel architecture, and kernel row number. Our study provides a high-quality reference-genome sequence to facilitate comparative genomics, functional studies, and genomic-assisted breeding for sweet corn