Digital Commons Network^™

An Examination Of The Convergence Of Theory In Libraries And Archives, Eric Willey

Faculty and Staff Publications – Milner Library

While the convergence of libraries, archives, and museums (LAMs) has received considerable attention, a literature review indicates that integration has primarily occurred around digitization projects, exhibits, and budgets, while professional identity serves as a barrier to integration of scholarly work. The present study examines to what extent scholarly theory between archives and libraries has converged by surveying citations from 2008-2016 for top-rated library journals in archival journals (and vice-versa), examining Library of Congress Subject Headings of cataloged books and dissertations in OCLC WorldCat from 2008-2016, and examining papers generated by special projects related to convergence in LAMs. Findings indicate that …

Fiduciary Duties Of Corporate Directors In Uncertain Times, Ellen J. Odoner, Stephen A. Radin, Lyuba A. Goltser, Andrew E. Blumberg

Ira M. Millstein Center for Global Markets and Corporate Ownership

Directors addressing new political uncertainties, a host of heightened challenges and asserted “best practices” from many sources may understandably ask whether their fiduciary duties have changed as well. This paper synthesizes the latest decisions of the Delaware courts on the standards of conduct for directors and the standards by which their conduct is reviewed. While directors should expect uncertainty to be a fact of corporate life for the foreseeable future, this paper emphasizes that neither the fiduciary duties of directors nor the protections afforded them have changed. Disinterested and independent directors acting in good faith continue to have broad protections …

Existence As Economy And As Charity An Essay On The Essence Of Christianity (1916) By: Antonio Caso, Antonio Caso, Alexander V. Stehn, Jose G. Rodriguez Jr.

Psychological Science Faculty Publications

Antonio Caso rejects the effort of biologists to reduce life to the organic world, a sphere of existence that is defined by economy and egoism, best summarized in the formula: Life = Minimum Effort x Maximum Gain. The problem is that this cannot explain what he calls “disinterested activity,” such as play, art, and self-sacrifice. His primary example of disinterested or selfless activity is the life of Jesus, which Caso also believes is the height of human dignity. In other words, Caso not only argues that there is more than one order of life or existence; he also argues …

The Changing Role Of The University: A Discursive Analysis Of Good Teaching And Positioning Of Academics And Students In Improving The Quality Of Teaching And Learning In Europe’S Higher Education Institutions, Fiona Mcsweeney

Irish Journal of Academic Practice

Using the approach of critical discourse analysis this paper presents an examination of the notion of good teaching as constructed in the strategy document Improving the quality of teaching and learning in Europe’s higher education institutions. The aim is to draw attention to, and question how the language used in educational policy documents constructs particular meanings and purposes to concepts such as teaching and learning, as well as creating a particular version of the social relations within educational institutions. This in turn positions teachers and students in particular ways, constructing and limiting who they are and what they do. While …

A Multivariate Meta-Analysis Of Motivational Interviewing Process And Outcome, Scott A. Baldwin, Brian T. Pace, Aaron Dembe, Cristina S. Soma, David C. Atkins, Zac E. Imel

Faculty Publications

Motivational interviewing (MI) theory proposes a process whereby a set of therapist behaviors has direct effects on client outcomes and indirect effects through in-session processes (e.g., client change talk). Despite clear empirical support for the efficacy of MI across settings, the results of studies evaluating proposed links between MI process and outcome have been less clear. In the present study, we used a series of multivariate meta-analyses to test whether there are differential relationships between specific MI-consistent and MI-inconsistent therapist behaviors, MI therapist global ratings, client change language, and clinical outcomes. Based on 19 primary studies (N = 2,614), we …

Incorporating Spanish Language Instruction Into Health Sciences Programs In A Hispanic-Serving Institution, Connie Summers, Vannesa Mueller, Celia Pechak, Jeri J. Sias

Faculty Publications

Patient-provider language discordance is a growing problem in health care among Spanish-speaking patients. To produce graduates capable of linguistically competent care, three university programs are incorporating Spanish language instruction into their curricula (pharmacy, physical therapy, and speech-language pathology). We review these three models of Spanish language training and summarize the lessons learned to date. Differences in the training models reflect fundamental differences regarding the use of spoken language in the disciplines.

Thematic Patterns In International Blended Learning Literature, Research, Practices, And Terminology, Kristian J. Spring, Charles R. Graham

Faculty Publications

The goal of this research was to discover and compare themes of the top blended learning (BL) articles from seven different regions of the world. Top cited articles in BL from these regions show strong similarities in research processes, practice, terminology, and focus. Small differences are apparent among the regions and top articles in general, but similar patterns demonstrate that themes might promote collaboration and exchange between regions and that the most cited articles from around the world could fit well within the topical, research, and publication practices of the field. Our results suggest that although different regions must have …

Discussion Of 10-K Disclosure Repetition And Managerial Reporting Incentives What Have We Learned And Where Do We Go With Textual Research?, Travis Dyer, Mark H. Lang, Lorien Stice-Lawrence

Faculty Publications

We discuss the evolution of research on textual attributes in accounting and suggest potential directions for future research using Cazier and Pfeiffer (2017) to illustrate the challenges and opportunities in the literature. We categorize the literature based on whether a given textual attribute is assumed to be ‘‘discretionary’’ versus ‘‘nondiscretionary’’ and whether it is assumed to be ‘‘helpful’’ versus ‘‘harmful.’’ The literature to date has been largely descriptive, with limited focus on causality, and we argue that there are substantial opportunities for research that better isolate the discretionary components of textual disclosure, as well as identifying specific contexts in which …

The Evolution Of 10-K Textual Disclosure: Evidence From Latent Dirichlet Allocation, Travis Dyer, Mark Lang, Lorien Stice-Lawrence

Faculty Publications

We document marked trends in 10-K disclosure over the period 1996–2013, with increases in length, boilerplate, stickiness, and redundancy and decreases in specificity, readability, and the relative amount of hard information. We use Latent Dirichlet Allocation (LDA) to examine specific topics and find that new FASB and SEC requirements explain most of the increase in length and that 3 of the 150 topics—fair value, internal controls, and risk factor disclosures—account for virtually all of the increase. These three disclosures also play a major role in explaining the trends in the remaining textual characteristics.

A Modular Architecture For Transparent Computation In Recurrent Neural Networks, Gs Carmantini, P Beim Graben, M Desroches, S Rodrigues

School of Engineering, Computing and Mathematics

Computation is classically studied in terms of automata, formal languages and algorithms; yet, the relation between neural dynamics and symbolic representations and operations is still unclear in traditional eliminative connectionism. Therefore, we suggest a unique perspective on this central issue, to which we would like to refer as transparent connectionism, by proposing accounts of how symbolic computation can be implemented in neural substrates. In this study we first introduce a new model of dynamics on a symbolic space, the versatile shift, showing that it supports the real-time simulation of a range of automata. We then show that the Gödelization of …

The Semiotics Of Minority Language Branding: A Study Of The Celtic Languages, J Tredinnick-Rowe

Peninsula Medical School

This paper investigates the role of minority language commodification in alcoholic drinks' branding, with a specific focus on Celtic languages and a particular emphasis on Cornish. The topic is introduced by exploring the ongoing and significant connection between language, culture and food, taking phrases and rhymes from historical sources and comparing their use. The aim is to establish cross-disciplinary synergies between semiotics and cultural analysis and to shed new light on marketing issues in the alcoholic drinks sector. The methodology section features the first ever analysis of alcoholic drinks' labels from four Celtic national minorities (N = 1.937) that illustrates …

Measurement Of Parent Satisfaction In The Paediatric Intensive Care Unit – Translation, Cultural Adaptation And Psychometric Equivalence For The French-Speaking Version Of The Empathic-65 Questionnaire, Chantal Grandjean, Jos M. Latour, Jacques Cotting, Marie Christine Fazan, Stéphane Leteurtre, Anne Sylvie Ramelet

School of Nursing and Midwifery

No abstract provided.

A Robust E-Invigilation System Employing Multimodal Biometric Authentication, Ss Ketab, Nl Clarke, Ps Dowland

School of Engineering, Computing and Mathematics

The significant growth in users of e-learning technologies and their use in courses has given rise to a major concern over protecting them from misuse; a significant concern is that of the potential for cheating or illicit assistance during online examinations. This paper presents the development of robust, flexible, transparent and continuous authentication mechanism for e-assessments. To monitor the exam taker and ensure that only the legitimate student is taking the exam, the system offers a continuous user identification employing multimodal biometrics; a security layer using an eye tracker to record the student’s eye movement; and, speech recognition to detect …

Conjoint Utilization Of Structured And Unstructured Information For Planning Interleaving Deliberation In Supply Chains, Naeem K. Janjua, O. K. Hussain, E. Chang, Syed M. S. Islam

Research outputs 2014 to 2021

Effective business planning requires seamless access and intelligent analysis of information in its totality to allow the business planner to gain enhanced critical business insights for decision support. Current business planning tools provide insights from structured business data (i.e. sales forecasts, customers and products data, inventory details) only and fail to take into account unstructured complementary information residing in contracts, reports, user's comments, emails etc. In this article, a planning support system is designed and developed that empower business planners to develop and revise business plans utilizing both structured data and unstructured information conjointly. This planning system activity model comprises …

Participatory Action And Dual Lens Research, Francesca Robertson, Jason Barrow, Magdalena Wajrak, Noel Nannup, Caroline Bishop, Alison Nannup

Research outputs 2014 to 2021

Purpose

The purpose of this paper is to explore the idea that, in the last few decades, collaborative inquiry methods have evolved along a similar trajectory to dual lens research. Dual lens research, known in various contexts as both ways, two-eyed seeing Old Ways New Ways, and Koodjal Jinnung (looking both ways), is designed to generate new knowledge by exploring a theme through Aboriginal and contemporary western lenses. Participatory action research and a dual lens approach are considered in a number of projects with a particular focus on the issues such work can raise including conceptual challenges posed by fundamental …

Similarities And Differences Between Simultaneous And Successive Bilingual Children: Acquisition Of Japanese Morphology, Yuki Itani-Adams, Junko Iwasaki, Satomi Kawaguchi

Research outputs 2014 to 2021

This paper compares the acquisition of Japanese morphology of two bilingual children who had different types of exposure to Japanese language in Australia: a simultaneous bilingual child who had exposure to both Japanese and English from birth, and a successive bilingual child who did not have regular exposure to Japanese until he was six years and three months old. The comparison is carried out using Processability Theory (PT) (Pienemann 1998, 2005) as a common framework, and the corpus for this study consists of the naturally spoken production of these two Australian children. The results show that both children went through …

Aesopian Language Of Soviet Era Children’S Literature: Translation, Adaptation, And Animation Of A Western Classic, Boryana Borisova

Honors Projects

Analyzing spoken, written, visual, or tangible material can offer sophisticated insight into the complexity of social life, understood through analysis of language in its widest sense; it offers ways of investigating meaning, whether in conversation or in culture. The idea of retelling foreign texts may be alien to some cultures, and understanding why, how, and when a particular work was created is essential for understanding the Russian one. In highly censored Russian culture, skepticism is a prerequisite for reading a text in the Soviet era, as it frequently served as an Aesopian hint or an allegory on contemporary issues. “Aesopian …

Closing The Grammarly Gaps: A Study Of Claims And Feedback From An Online Grammar Program, J. M. Dembsey

The Writing Center Journal

No abstract provided.

Simulation Tools For The Study Of The Interaction Between Communication And Action In Cognitive Robots, Tomassino Ferrauto

School of Engineering, Computing and Mathematics Theses

In this thesis I report the development of FARSA (Framework for Autonomous Robotics Simulation and Analysis), a simulation tool for the study of the interaction between language and action in cognitive robots and more in general for experiments in embodied cognitive science. Before presenting the tools, I will describe a series of experiments that involve simulated humanoid robots that acquire their behavioural and language skills autonomously through a trial-and-error adaptive process in which random variations of the free parameters of the robots’ controller are retained or discarded on the basis of their effect on the overall behaviour exhibited by the …

The Impact Of Robot Tutor Social Behaviour On Children, James R Kennedy

School of Engineering, Computing and Mathematics Theses

Robotic technologies possess great potential to enter our daily lives because they have the ability to interact with our world. But our world is inherently social. Whilst humans often have a natural understanding of this complex environment, it is much more challenging for robots. The field of social Human-Robot Interaction (HRI) seeks to endow robots with the characteristics and behaviours that would allow for intuitive multimodal interaction. Education is a social process and previous research has found strong links between the social behaviour of teachers and student learning. This therefore presents a promising application opportunity for social human-robot interaction. The …

A Reference Computational Model To Manage The Semantics Of Learning Environments Using Swrl Enabled Owl Ontologies, Eiman Almami

School of Engineering, Computing and Mathematics Theses

This thesis proposes a reference model and its computational core to support the creation of software applications within educational environments, which address Differences In Learning (DiffInL) and are applicable to both learners and instructors. This work differs from others in that the strength of this model resides on the re-usable character of the reasoning mechanism enabled by the computational environment. The starting point is the definition of agreed learning goals that the learner needs to achieve. In turn, the reference model generates personalised, best-practice teaching and learning materials, suitable for achieving the individual’s learning goals. This reference model consists of …

Assessing The Usefulness Of Different Feature Sets For Predicting The Comprehension Difficulty Of Text, Brian Mac Namee, John D. Kelleher, Noel Fitzpatrick

Conference papers

Within English second language acquisition there is an enthusiasm for using authentic text as learning materials in classroom and online settings. This enthusiasm, however, is tempered by the difficulty in finding authentic texts at suitable levels of comprehension difficulty for specific groups of learners. An automated way to rate the comprehension difficulty of a text would make finding suitable texts a much more manageable task. While readability metrics have been in use for over 50 years now they only capture a small amount of what constitutes comprehension difficulty. In this paper we examine other features of texts that are related …

Abusive Text Detection Using Neural Networks, Hao Chen, Susan Mckeever, Sarah Jane Delany

Conference papers

eural network models have become increasingly popular for text classification in recent years. In particular, the emergence of word embeddings within deep learning architectures has recently attracted a high level of attention amongst researchers. In this paper, we focus on how neural network models have been applied in text classification. Secondly, we extend our previous work [4, 3] using a neural network strategy for the task of abusive text detection. We compare word embedding features to the traditional feature representations such as n-grams and handcrafted features. In addition, we use an off-the-shelf neural network classifier, FastText[16]. Based on our results, …

How Short Is A Piece Of String?: The Impact Of Text Length And Text Augmentation On Short-Text Classification Accuracy, Austin Mccartney, Svetlana Hensman, Luca Longo

Conference papers

Recent increases in the use and availability of short messages have created opportunities to harvest vast amounts of information through machine-based classification. However, traditional classification methods have failed to yield accuracies comparable to classification accuracies on longer texts. Several approaches have previously been employed to extend traditional methods to overcome this problem, including the enhancement of the original texts through the construction of associations with external data supplementation sources. Existing literature does not precisely describe the impact of text length on classification performance. This work quantitatively examines the changes in accuracy of a small selection of classifiers using a variety …

A Comparison Of Automatic Search Query Enhancement Algorithms That Utilise Wikipedia As A Source Of A Priori Knowledge, Kyle Goslin, Markus Hofmann

Conference papers

This paper describes the benchmarking and analysis of five Automatic Search Query Enhancement (ASQE) algorithms that utilise Wikipedia as the sole source for a priori knowledge. The contributions of this paper include: 1) A comprehensive review into current ASQE algorithms that utilise Wikipedia as the sole source for a priori knowledge; 2) benchmarking of five existing ASQE algorithms using the TREC-9 Web Topics on the ClueWeb12 data set and 3) analysis of the results from the benchmarking process to identify the strengths and weaknesses each algorithm. During the benchmarking process, 2,500 relevance assessments were performed. Results of these tests are …

Measuring Treatment Satisfaction In Ms: Is The Treatment Satisfaction Questionnaire For Medication Fit For Purpose?, Patrick Vermersch, Jeremy Hobart, Catherine Dive-Pouletty, Sylvie Bozzi, Steven Hass, Patricia K. Coyle

Peninsula Medical School

Background: The Treatment Satisfaction Questionnaire for Medication (TSQM) was designed to assess patient treatment satisfaction in chronic diseases. Its performance has not been examined in multiple sclerosis (MS). The 14 items of the TSQM cover four domains: Effectiveness, Side Effects, Convenience, and Global Satisfaction. Objective: To evaluate performance of the TSQM in patients with relapsing MS, using data collected from the TENERE study (NCT00883337), in which 324 patients received oral teriflunomide or subcutaneous interferon beta-1a for ≥48 weeks. Methods: Five measurement properties were examined using traditional psychometric methods: data completeness, scale-to-sample targeting, scaling assumptions, reliability (including test-retest), and construct validity …

Student Interactions With A Native Speaker Tutor And A Nonnative Speaker Tutor At An American Writing Center, Yelin Zhao

The Writing Center Journal

No abstract provided.

Design And Pitch: Introducing Multiliteracies Through Scientific Research Posters, Sohui Lee, Russ E. Carpenter

The Writing Center Journal

No abstract provided.

Middle School And High School Students Who Stutter: A Qualitative Investigation Of School Experiences, Tiffany Cobb

Wayne State University Dissertations

ABSTRACT

MIDDLE SCHOOL AND HIGH SCHOOL STUDENTS WHO STUTTER: A QUALITATIVE INVESTIGATION OF SCHOOL EXPERIENCES

by

TIFFANY COBB

MAY 2017

Advisor: Dr. Derek Daniels

Major: Speech-Language Pathology

Degree: Doctor of Philosophy

Purpose: The purpose of this study was to explore and further understand the ways in which middle school and high school students perceive their school experiences within the school environment.

School has an important impact on the social development of children (Milsom, 2006). Learning is not done individually as classrooms are inherently social places. This suggests that students do not learn alone, but rather in the presence of many …

The Habits Of Highly Effective Researchers: An Empirical Study, Subhajit Datta, Partha Basuchowdhuri, Surajit Acharya, Subhashis Majumder

Research Collection School Of Computing and Information Systems

Interest in the habits of influential individuals cuts across domains. As researchers, we are intrigued why few attain significant eminence in their fields, whereas many operate in obscurity. An empirical examination of this question has been made possible by the recent availability of large scale publication data. In this paper, we use information from the AMiner Paper Citation and Author Collaboration Networks to discern factors that relate to the impact of influential researchers across five domains in the computing discipline. We propose and apply a novel algorithm to identify influential vertices in co-authorship networks built from total corpora of 1,00,000+papers …