Digital Commons Network^™

Observing The Effects Of Automating The Judicial System With Behavioral Equivalenc, Joseph A. Blass

South Carolina Law Review

No abstract provided.

Cai Tool-Supported Si Of Numbers: A Theoretical And Methodological Contribution, Francesca Maria Frittella

International Journal of Interpreter Education

Numbers are an area of interpreting that is particularly prone to human error. Thanks to recent advancements in automatic speech recognition (ASR) and artificial intelligence (AI) technology, computer-assisted interpreting (CAI) tools may soon be used to enhance delivery accuracy for numbers during simultaneous interpreting (SI).

Given the novelty of the topic, the impact of in-booth CAI tool support on the SI of numbers is still largely under-researched. First, only a few studies have addressed the topic. Second, due to a number of methodological limitations, their findings yield only a partial understanding of the issue. The present work aims to make …

Collaborative Textbook On English Syntax (Version 1.0), Matt Garley, Karl Hagen, The Students Of Eng 270 At York College / Cuny

Open Educational Resources

No abstract provided.

International Journal Of Interpreter Education, Volume 14, Issue 1

International Journal of Interpreter Education

No abstract provided.

Dynamic Sight Translation: A Simultaneous Interpreting Strategies Driver, Kun Yan, Zhongwei Song

International Journal of Interpreter Education

This paper reports on eliciting anticipation strategy, a common strategy in simultaneous interpreting (SI) via sight translation (ST). A new ST variant, the dynamic type, was designed in a modular and progressive manner to facilitate the trainees’ transition into SI at the early stage of learning. The new tool was used and tested under a framework of action research that was conducted continuously over 3 years. Despite some limitations, the longitudinal study finds that the newly designed set of exercises is not only a skill development and transfer enabler but also a contributor to eliciting SI-related strategies. This article explains …

Public Service Interpreter Education In The Gulf States: Ideas For Curriculum Design And Teaching, Mustapha Taibi

International Journal of Interpreter Education

The Gulf States host large numbers of non-Arabic-speaking residents and visitors. These non-nationals need to deal with such public services as hospitals, schools, courts, and other local administrations. In many cases, English is used as a lingua franca; however, not all public service staff or clients are able to speak or communicate effectively in this language. The communication needs in such situations require the assistance of professional public service interpreters, which, in turn, calls for appropriate education. In this paper, I outline education needs in public service interpreting in the Gulf States; provide an overview of common curricular contents and …

Re-Examining “Practice” In Interpreter Education, Rachel E. Herring, Laurie Swabey, Elisabet Tiselius, Manuela Motta

International Journal of Interpreter Education

In this commentary, the authors explore “practice” in interpreter education. They outline differences in meaning and usage of the term, including the notions of “reflective practice” and “deliberate practice,” discuss the importance of high-quality skill development-focused practice (SDFP) in skill acquisition, and call for a systematic program of research into SDFP in interpreter education, particularly within the context of dialogue interpreting.

Book Review: Theorising Interpreting Studies, Rui Du, Weiwei Wang

International Journal of Interpreter Education

No abstract provided.

Social Network Analysis Of Online Support Communities For Adolescent And Young Adult Cancer Survivors, Carlos Perez Aldana

Dissertations and Theses (Open Access)

There are an estimated 633,000 adolescent and young adult (AYA) cancer survivors in the U.S. and nearly 89,500 AYAs are diagnosed with cancer every year. Cancer creates developmental and life stage disruptions, which result in multiple survivorship challenges, particularly among AYAs. Despite the advances made in cancer oncology and survivorship care, AYA cancer survivors continue to face diverse and unique psychosocial needs. Research suggests that online support communities have the potential to positively impact psychosocial care by providing AYA cancer survivors with access to social support which can help them successfully transition from treatment back to normal life as well …

Common Ground, Cooperation, And Recipient Design In Human-Computer Interactions, Judit Dombi, Tetyana Sydorenko, Veronika Timpe-Laughlin

Applied Linguistics Faculty Publications and Presentations

In recent years, the number of human-machine interactions has increased considerably. Additionally, we have evidence of linguistic differences between human-machine interactions and human–human conversations (e.g., Timpe-Laughlin et al., 2022). Therefore, it is reasonable to revisit theoretical frameworks that conceptualize interactional language use and investigate to what extent they still apply to technology-mediated interactions. As a first attempt at exploring whether pragmatics theories apply to human-machine interaction, we examined how well Kecskés's (2013) socio-cognitive approach (SCA) focusing on asymmetric interactions (e.g., between interlocutors of different language backgrounds) applies to the asymmetry of human-machine interactions.

Using examples from experimental data, we present …

Forecasting The How And Why Of Corporate Crime's Demise, Miriam H. Baer

Faculty Scholarship

No abstract provided.

A Journey To Accountability, Sara Smock Jordan

Journal of Solution Focused Practices

The Journal of Solution Focused Practices (JSFP) underwent structural changes in 2019 as a result of a new editorial team. These changes occurred as a result of prioritizing equitable access to knowledge and leadership in the SF community. The purpose of this paper is to discuss the process of relaunching JSFP as an inclusive international journal. Two major initiatives are described. A renewal and alignment of purpose of the Editorial Board and the development of the journal’s Mission and Values statement. Both initiatives took place within the context of developing accountability for inclusivity, diversity and accessibility.

Herstory& Female Identity: Postmodern Feminist Revision Of Female Characters In Islamic Narrative In Mohja Kahf’S Hagar Poems, Aya Elbably

Dentistry

Contending with the re-reading and re-writing of history that has always excluded women from its grand narratives, postmodern feminist writers have always sought to revise canonical texts from a gynocentric perspective. Through their revisionary fiction, they aimed at challenging the subordinate, marginal and invisible position of the women characters in these texts. In place of the alleged objectivity of these accounts, postmodern feminist revisionist writers transform these ancient tales while employing female insight to re-narrate the story of humanity, yet through women’s perspective. Thus, they create new texts to challenge the fundamental gender stereotypes, namely the binary images generated by …

External Funding Bulletin, January - June 2022, Uno Office Of Research And Creative Activity

Sponsored Programs Bulletins

No abstract provided.

Querai – A Smart Quiz Generator, Elton Da Silva, Fernando Aires Da Silva, Kim Jang Womg, Tai Teei Ho

ICT

QUERAI is a website powered by an Artificial Intelligence Question & Answer quiz generator model aiming to enhance students' learning experience and improve teachers' qualitative work by giving them more time to deal with other activities such as assignment correction, general grading, and class preparation.

Invention And Reciprocity: The Geco Program, Sarah Griffith, Sara Hanson-Lynn, Andrea Hayes, James Hunter, Mary Jeannot, Analee Scott

TESOL Faculty Scholarship

The Gonzaga ESL Community Outreach (GECO), a free, weekly ESL program administered and taught by MA/TESOL students, has become an integral part of teacher development, allowing for creativity and invention in all aspects of teaching and teacher-training. This article documents history, structure, and core features of GECO, such as cascading mentorship and the deliberately blurred line between "student" and "teacher."

A Novel Hybrid Algorithm For Morphological Analysis: Artificial Neural-Net-Xmor, Ayla Kayabaş, Ahmet Ercan Topcu, Özkan Kiliç

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, we present a novel algorithm that combines a rule-based approach and an artificial neural network-based approach in morphological analysis. The usage of hybrid models including both techniques is evaluated for performance improvements. The proposed hybrid algorithm is based on the idea of the dynamic generation of an artificial neural network according to two-level phonological rules. In this study, the combination of linguistic parsing, a neural network-based error correction model, and statistical filtering is utilized to increase the coverage of pure morphological analysis. We experimented hybrid algorithm applying rule-based and long short-term memory-based (LSTM-based) techniques, and the results …

Automatic Keyword Assignment System For Medical Research Articles Using Nearest-Neighbor Searches, Fati̇h Di̇lmaç, Adi̇l Alpkoçak

Turkish Journal of Electrical Engineering and Computer Sciences

Assigning accurate keywords to research articles is increasingly important concern. Keywords should be selected meticulously to describe the article well since keywords play an important role in matching readers with research articles in order to reach a bigger audience. So, improper selection of keywords may result in less attraction to readers which results in degradation in its audience. Hence, we designed and developed an automatic keyword assignment system (AKAS) for research articles based on k-nearest neighbor (k-NN) and threshold-nearest neighbor (t-NN) accompanied with information retrieval systems (IRS), which is a corpus-based method by utilizing IRS using the Medline dataset in …

Learning Term Weights By Overfitting Pairwise Ranking Loss, Ömer Şahi̇n, İlyas Çi̇çekli̇, Gönenç Ercan

Turkish Journal of Electrical Engineering and Computer Sciences

A search engine strikes a balance between effectiveness and efficiency to retrieve the best documents in a scalable way. Recent deep learning-based ranker methods are proving to be effective and improving the state-of-the-art in relevancy metrics. However, as opposed to index-based retrieval methods, neural rankers like bidirectional encoder representations from transformers (BERT) do not scale to large datasets. In this article, we propose a query term weighting method that can be used with a standard inverted index without modifying it. Query term weights are learned using relevant and irrelevant document pairs for each query, using a pairwise ranking loss. The …

Automated Question Generation And Question Answering From Turkish Texts, Fati̇h Çağatay Akyön, Ali̇ Devri̇m Eki̇n Çavuşoğlu, Cemi̇l Cengi̇z, Si̇nan Onur Altinuç, Alpteki̇n Temi̇zel

Turkish Journal of Electrical Engineering and Computer Sciences

While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience and resources. Automatic question generation (QG) techniques can be utilized to satisfy the need for a continuous supply of new questions by streamlining their generation. However, compared to automatic question answering (QA), QG is a more challenging task. In this work, we fine-tune a multilingual T5 (mT5) transformer in a multitask setting for QA, QG and answer extraction tasks using Turkish QA datasets. To the best of our knowledge, this is the first academic work …

Nurturing Joy And Belonging: Practices For Rehumanizing Professional Learning, Katherine Egan Cunningham, Kristin N. Rainville

Education Faculty Publications

In this article the authors describe a professional learning initiative focused on joyful teaching and learning during the COVID-19 pandemic and the techniques that were used to foster a culture of belonging. The authors utilize an integrative framework for understanding, cultivating, and assessing belongingness to suggest implications for school-university partnerships. Finally, the authors pose questions for school-university partnerships to reflect upon to build an intersectional approach to professional learning in a post-pandemic educational landscape.

Learning To Ask Critical Questions For Assisting Product Search, Zixuan Li, Lizi Liao, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Product search plays an essential role in eCommerce. It was treated as a special type of information retrieval problem. Most existing works make use of historical data to improve the search performance, which do not take the opportunity to ask for user’s current interest directly. Some session-aware methods take the user’s clicks within the session as implicit feedback, but it is still just a guess on user’s preference. To address this problem, recent conversational or question-based search models interact with users directly for understanding the user’s interest explicitly. However, most users do not have a clear picture on what to …

Order Constraints In Optimal Transport, Fabian Lim, Laura Wynter, Shiau Hong Lim

Research Collection School Of Computing and Information Systems

Optimal transport is a framework for comparing measures whereby a cost is incurred for transporting one measure to another. Recent works have aimed to improve optimal transport plans through the introduction of various forms of structure. We introduce novel order constraints into the optimal transport formulation to allow for the incorporation of structure. We define an efficient method for obtaining explainable solutions to the new formulation that scales far better than standard approaches. The theoretical properties of the method are provided. We demonstrate experimentally that order constraints improve explainability using the e-SNLI (Stanford Natural Language Inference) dataset that includes human-annotated …

Harnessing Confidence For Report Aggregation In Crowdsourcing Environments, Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Crowdsourcing is an effective means of accomplishing human intelligence tasks by leveraging the collective wisdom of crowds. Given reports of various accuracy degrees from workers, it is important to make wise use of these reports to derive accurate task results. Intuitively, a task result derived from a sufficient number of reports bears lower uncertainty, and higher uncertainty otherwise. Existing report aggregation research, however, has largely neglected the above uncertainty issue. In this regard, we propose a novel report aggregation framework that defines and incorporates a new confidence measure to quantify the uncertainty associated with tasks and workers, thereby enhancing result …

Computer-Aided Response-To-Intervention For Reading Comprehension Based On Recommender System, Ming-Chi Liu, Wei-Yang Lin, Chia-Ling Tsai

Publications and Research

In 2019, New York State Education Department announced 54.6% of all students in grades 3 to 8 not meeting the standard of reading proficiency. Motivated by the need for a more efficient intervention model, we propose a recommender system to leverage the technology in machine learning to recommend suitable reading materials for effective intervention. The recommendation is based on the student's prior reading comprehension assessments and also assessments of other students at the same grade level using collaborative filtering. No other prior academic or demographic information of students is available. Two main challenges are lack of explicit ratings of reading …

Classroom Questions: How Mainstream Elementary Teachers Use Questions To Support Achievement For English Language Learners, Holly Wandersee

School of Education and Leadership Student Capstone Theses and Dissertations

This small-scale study of an elementary classroom was designed to better understand the research question How do mainstream elementary teachers use questions in their instruction of ELLs? The goal of this study was to explore how one elementary teacher used questions in the classroom, how her class responded to the questions, and how she supported her learners along the way. A detailed literature review explored research that has already been conducted related to teacher questions and ELLs, and it included information about the following topics: second language acquisition, classroom questions in both the ESL/EFL classroom and the mainstream classroom, and …

Does Lexia Core 5 Support Accelerated Reading Growth In Third Grade Intervention Students During Independent Reading Time With Minimal Teacher Support?, Whitney Strand

School of Education and Leadership Student Capstone Theses and Dissertations

This capstone addresses the following research question: Does Lexia Core 5 Support Accelerated Reading Growth in Third Grade Intervention Students During Independent Reading Time With Minimal Teacher Support? The author first examines the previous research around Lexia Core 5 done by O'Callaghan et al. (2016) & Maracuso et al. (2019). This mixed methods study investigates how using Lexia Core 5 impacts participants’ overall reading growth via pre- and post- assessment data. It follows participants’ Lexia Core 5 usage over the course of 7 weeks tracking both the minutes spent and number of units completed. Data for this study also includes …

Examining Career Decisions: Exploring The Interest Of Gifted Graduates On Working In Education, Alexandria K. Ryan

Doctor of Education (Ed.D)

Students who are gifted are often pulled in a variety of career directions because of their tendency to have many interests and passions. This study was designed to better understand the experience of adults who are gifted and their career choice. The purpose of this qualitative study was to explore what career paths adults who are gifted follow, specifically whether they choose to work in the education field or not. This phenomenological study explored four main themes in an individual who is graduated from a gifted education program’s life: Gifted Program Experience, Career and Interests, Family Influence, and Social Emotional. …

‘You Can't Walk Through Water Without Getting Wet’ Uk Nurses’ Distress And Psychological Health Needs During The Covid-19 Pandemic: A Longitudinal Interview Study, J. Maben, A. Conolly, R. Abrams, E. Rowland, R. Harris, D. Kelly, B. Kent, K. Couper

School of Nursing and Midwifery

BackgroundPre-COVID-19 research highlighted the nursing profession worldwide as being at high risk from symptoms of burnout, post-traumatic stress disorder (PTSD) and suicide. The World Health Organization declared a pandemic on 11th March 2020 due to the sustained risk of further global spread of COVID-19. The high healthcare burden associated with COVID-19 has increased nurses’ trauma and workload, thereby exacerbating pressure on an already strained workforce and causing additional psychological distress for staff.ObjectivesThe Impact of COVID-19 on Nurses (ICON) interview study examined the impacts of the pandemic on frontline nursing staff's psychosocial and emotional wellbeing.DesignLongitudinal qualitative interview study.SettingsNurses who had completed …

Nlp And Ml Methods For Pre-Processing, Clustering And Classification Of Technical Logbook Datasets, Farhad Akhbardeh

Theses

Technical logbooks are a challenging and under-explored text type in automated event identification. These texts are typically short and written in non-standard yet technical language, posing challenges to off-the-shelf NLP pipelines. These datasets typically represent a domain (a technical field such as automotive) and an application (e.g., maintenance). The granularity of issue types described in these datasets additionally leads to class imbalance, making it challenging for models to accurately predict which issue each logbook entry describes. In this research, we focus on the problem of technical issue pre-processing, clustering, and classification by considering logbook datasets from the automotive, aviation, and …