Digital Commons Network^™

Building Teachers’ Cultural Capital In The Classroom: Using Funds Of Knowledge To Support Multilingual Learners, Lindsey Skirtich

All Dissertations

This qualitative study has a collaborative focus and blends improvement science with Design Thinking to first understand teachers’ perceptions of their ability to serve ML students and second, how the utilization of the Funds of Knowledge (FoK) can assist teachers in serving ML students. The purpose of this study is to use the Funds of Knowledge to build the capacity of teachers to connect with students through their lived experiences.

Through collaboration and reflection, this study investigated teachers’ perceptions and focused on increasing teachers’ ability to serve ML students utilizing a framework intended to connect students’ backgrounds to the classroom.

Fractional Order Fuzzy Like Pid Controller Design For Three Links Rigid Robot Manipulator, Hadeel I. Abdulameer, Mohamed J.

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Four Fractional/Integer Order Fuzzy Proportional Integral Derivative controller structures are designed in this study to successfully control a nonlinear, coupled, multi-input, multi-output, three-link rigid robotic manipulator system. The performance of Fractional Order Fuzzy Proportional Integral Derivative and Integer Order Fuzzy Proportional Integral Derivative controllers is evaluated for reference trajectory tracking, changing beginning circumstances, disturbance rejection, and model uncertainty. These controllers' parameters are tuned using a meta-heuristic optimization approach called the most valuable player algorithm for the objective function, which is defined as the integral of the time-squared error. Simulation results show that the suggested Fractional Order Fuzzy Proportional Integral Derivative …

Using Graph Mining Method In Analyzing Turkish Loanwords Derived From Arabic Language, Abbood Kirebut Jassim, Muneam Jabbar Hamzah, Ahmed Hussein Aliwy

Baghdad Science Journal

Loanwords are the words transferred from one language to another, which become essential part of the borrowing language. The loanwords have come from the source language to the recipient language because of many reasons. Detecting these loanwords is complicated task due to that there are no standard specifications for transferring words between languages and hence low accuracy. This work tries to enhance this accuracy of detecting loanwords between Turkish and Arabic language as a case study. In this paper, the proposed system contributes to find all possible loanwords using any set of characters either alphabetically or randomly arranged. Then, it …

Developing Awareness Around Language Practices In The Elementary Bilingual Mathematics Classroom, Gladys Krause, Melissa Adams Corral, Luz A. Maldonado Rodríguez

Teaching and Learning Faculty Publications

This study contributes to efforts to characterize teaching that is responsive to children’s mathematical ideas and linguistic repertoire. Building on translanguaging, defined in this article as a pedagogical practice that facilitates students’ expression of their understanding using their own language practices, and on the literature surrounding children’s mathematical thinking, we present an example of a one-on-one interview and of the circulating portion of a mathematics class from a second grade classroom. We use these examples to foreground instructional practices, for researchers and practitioners, that highlight a shift from a simplified view of conveying mathematics as instruction in symbology and formal …

Brain Waste Among Highly Skilled Immigrants In The United States, Kimberly Alva-Chavers Gardner

Master's Projects and Capstones

The issue of brain waste and underemployment among highly skilled immigrants is a key issue facing the United States today. This problem of equity has turned into an issue of economic stability in a country with a waning population whose workforce will soon depend on immigrant and international workers. Multiple agencies, including government programs and nonprofits, are attempting to address this issue from a language learning perspective. Using the theoretical framework of Cultural Capital and Community Cultural Wealth, this research project suggests that the key to reducing brain waste and underemployment among highly skilled immigrants is to take the focus …

December 1, 2022, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Man-Machine Dialogues: Computer Representations And Appropriations In The Soviet Union And The United States, Ksenia Tatarchenko

Research Collection College of Integrative Studies

What brought a plurality of information societies into existence? The global process of computerizations went hand in hand with political competition between the First and Second World during the second half of the twentieth century. Non-capitalist information societies were imagined and experienced under the socialistregimes alongside and in interaction with their better-known capitalist counterparts. Both capitalism and socialism asserted the power of the new machines to depict and create a better world.

Esl To Composition Transitions: Investigating The Differences In Disciplinary Values Among Two-Year College Faculty, Amy M. Flessert

English Theses & Dissertations

In this qualitative methods study, I draw on Paul Kei Matsuda’s 1999 article “Composition Studies and ESL Writing: A Disciplinary Division of Labor” to examine if, more than 20 years after its publication, there is still a significant disciplinary division between ESL writing and first-year college composition. I surveyed writing instructors from both ESL and ENG at Mid-Atlantic Community College (MACC) regarding what they value as “good” writing. I also worked with three faculty members – one in ENG, one in ESL, and a third who teaches in both departments, serving, in this study and the department, as a “bridge” …

A Nexus Of Literate Activity: The Design Of Writing Assignments In The Disciplines, Lauriellen Stankavich

English Theses & Dissertations

Writing plays a critical role in higher education as students are inducted into disciplinary practices through different genres, methodological repertoires and argumentation strategies. In Writing Across the Curriculum (WAC) initiatives, the instructor serves as an embodied reservoir of disciplinary knowledge and an arbiter of literate practices but most crucially employs the mediating capacities of the writing assignment as a potent pedagogical nexus. In this practice space, the instructor acts as designer of the pedagogical experience—the course as a whole and writing assignments in particular. This study used interviews, survey, and the collection of syllabi and other instructional artifacts to examine …

Natural History Of Discourse Of Missouri House Bill 1042: Bringing A Critical Perspective To Policy Engagement In Two-Year Contexts, Mary Casey Reid

English Theses & Dissertations

In this autoethnographically-infused natural history of discourse (NHD) (Silverstein and Urban, 1996; Slembrouck, 2001), I use methods from critical discourse studies (CDS) to trace 10 years of changes in “remediation” discourses within a corpus of texts associated with Missouri HB 1042, a piece of legislation passed in 2012 that requires higher education institutions to “replicate best practices in remediation” (CBHE, 2013). After providing national and state context related to HB 1042 and the discourses circulating within the HB 1042 corpus of texts, I describe what I call the “higher ed’s remediation problem” discourse, focusing on three discourse features that I …

Differences In Elementary Students’ Self-Regulated Processes For Computer Versus Printed Reading Assignments, Katerina Sergi, Anastasia Elder, Tianlan Wei, Kristin Javorsky, Jianzhong Xu

Publications

The purpose of this study was to investigate metacognitive self-regulated learning (SRL) differences in computer- and paper-based reading assignments across elementary students. Students in two after-school programs in a southeastern U.S. public school district were recruited. The final sample consisted of 48 students in Grades 2–5 who participated in two counterbalanced conditions involving a computer- and a paper-based reading assignment. The study employed a 2 x 4 (condition-by-grade) mixed-model analysis of variance (ANOVA) and followup tests to examine metacognitive SRL differences between conditions and grades. The results indicate that elementary students used various metacognitive SRL skills across both conditions. The …

Thaler V. Vidal: Artificial Intelligence—Can The Invented Become The Inventor?, Michelle Lavrichenko

Cardozo Law Review

No abstract provided.

Experiences Of Latinx Immigrant Parents Of Children With Developmental Disabilities In The Iep Process, Claudia Montoya, Carly Gilson, Valeria Yllades

Psychological Science Faculty Publications

Given the growing proportion of students receiving special education services who are culturally and linguistically diverse (CLD), there is a critical need to understand the experiences of Latinx immigrant parents of children with disabilities. This qualitative study sought to understand the perspectives of nine Latinx immigrant parents of children with developmental disabilities regarding their child's individualized education program (IEP). We conducted semi-structured interviews and analyzed the data using a general inductive approach and constant comparison analysis. Seven themes emerged: (a) parents' insecurity of knowledge, (b) difficult terminology , (c) confusion with the IEP process, (d) discrimination or misconceptions, (e) language …

Comparison Of Fuzzy And Neural Network Computing Techniques For Performance Prediction Of An Industrial Copper Flotation Circuit, Ivana Jovanović, Fardis Nakhaei, Daniel Kržanović, Vesna Conić, Daniela Urošević

Mining Engineering Faculty Research & Creative Works

This paper presents the development and validation of five different soft computing methods for flotation performance prediction: (1) two models based on fuzzy logic (Mamdani and Takagi-Sugeno fuzzy inference system) and (2) three models based on artificial neural networks. Copper content in the ore feed, collector dosage in the rougher and the scavenger flotation circuits, slurry pH in the rougher flotation circuit and frother consumption were selected as input parameters to estimate the copper grade and recovery of final concentrate, as well as the copper content in the final tailings of the flotation plant. The training and evaluation of the …

Prompting For Multimodal Hateful Meme Classification, Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang

Research Collection School Of Computing and Information Systems

Hateful meme classification is a challenging multimodal task that requires complex reasoning and contextual background knowledge. Ideally, we could leverage an explicit external knowledge base to supplement contextual and cultural information in hateful memes. However, there is no known explicit external knowledge base that could provide such hate speech contextual information. To address this gap, we propose PromptHate, a simple yet effective prompt-based model that prompts pre-trained language models (PLMs) for hateful meme classification. Specifically, we construct simple prompts and provide a few in-context examples to exploit the implicit knowledge in the pretrained RoBERTa language model for hateful meme classification. …

Rite Of Identity, Youmee Lee

Theses

Rite of Identity, a graduate thesis film, is a 2D animated visual poem of deaf children’s experiences. The film follows the protagonist’s journey in navigating a visual realm and a black-and-white realm, which represent the deaf world and the hearing world. Childhood experiences of struggling to assimilate into mainstream society are conveyed through the protagonist in the black-and-white realm. The purpose of the film is to encourage the viewers to think about what it is like for a child to be underestimated and to struggle with a soundscape that is not perceived naturally in the realm. Deaf children have a …

Identity Term Sampling For Measuring Gender Bias In Training Data, Nasim Sobhani, Sarah Jane Delany

Conference Papers

Predictions from machine learning models can reflect biases in the data on which they are trained. Gender bias has been identified in natural language processing systems such as those used for recruitment. The development of approaches to mitigate gender bias in training data typically need to be able to isolate the effect of gender on the output to see the impact of gender. While it is possible to isolate and identify gender for some types of training data, e.g. CVs in recruitment, for most textual corpora there is no obvious gender label. This paper proposes a general approach to measure …

Employer Collaboration In Developing Graduate Employability: A Pilot Study In Ireland, Miriam O'Regan, Aiden Carthy, Colm Mcguiness, Philip Owende

Articles

Purpose – The purpose of this paper is to evaluate the impact on student work readiness outcomes of collaboration with employers in developing and delivering tailored graduate employability workshops in socioemotional skills for work (SES4Work).

Design/methodology/approach – Framed by the CareerEDGE model of graduate employability, the authors piloted a five-session module for near graduates in five disciplines. The research included an online employer survey (n 5 128), employer interviews (n 5 21) and tailored workshops for near graduates, culminating in a mock competency-based interview. Using a pre/post-test design, participants (n 5 24) also completed the CareerEDGE Employability Development Profile (EDP) …

Profile Of A Comparative And International Education Leader: Marco Aurelio Navarro-Leal, Gus Gregorutti

Faculty Publications

This article is a biographical sketch of Professor Marco Aurelio Navarro-Leal, and includes reflections from his upbringing, education, and contributions in comparative and international education (CIE). Marco has been a key player in establishing the Mexican Comparative Education Society (SOMEC), advancing the CIE field with the involvement of local and international scholars dedicated to improving not only Mexican education, but also education within the entire Latin American region. He has also been actively involved in the global expansion of CIE through his leadership in such organizations as the World Council of Comparative Education Societies (WCCES). This article is based on …

A Comparative Study Of Instructional Perspectives Among Learning And Development Practitioners, Merzudin Selimovic

Dissertations

The instructional perspectives of learning and development practitioners have a critical impact on their learners. This study aimed to determine if a relationship existed between years of experience of a learning and development practitioner and how they score on the seven factors of Henschke’s (1989) Modified Instructional Perspectives Inventory (MIPI). The MIPI consisted of seven factors: 1) Teacher Empathy with Learners, 2) Teacher Trust of Learners, 3) Planning and Delivery of Instruction, 4) Accommodating Learner Uniqueness, 5) Teacher Insensitivity Toward Learners, 6) Learner-centered Learning Process (Experience-based Learning Techniques), and 7) Teacher-centered Learning Process. The MIPI is a revised version of …

International Commercial Mediation And Dispute Resolution Contracts, Nadja Alexander, Natasha Tunkel

Research Collection Yong Pung How School Of Law

Every transaction has the potential to go wrong and international commercial contracts are not spared this plight. It is when an international commercial contract fails – irrespective of the reasons, that the impact of different legal and cultural backgrounds of the parties come to light. The obvious venue for commercial disputes to be decided is generally understood to be in court (litigation)2 or before an arbitral tribunal (arbitration)3. However, there are numerous other alternative dispute mechanisms4 available to parties that are less well known and also deserve consideration; not least because they offer parties methods of resolving the dispute between …

Predicting & Optimizing Airlines Customer Satisfaction Using Classification, Mhd Ridwan Alhabbal

Theses

This research is going to be a machine learning project that aims to study the various factors that may play a role in forming customer satisfaction response and tries to figure out which attributes or combination of them are the driver of positive customer satisfaction. The research is going to use initially some dataset from Kaggle (explained in the section of data source) in order to run machine learning algorithms and creating a predictor that would help airlines in predicting which customers are satisfied and trying to have a proactive reaction in case of negative feedback, so we can make …

Forensic Linguistics: Science Or Fiction?, Abigail Shim

UC Law Journal

The history of linguistics is meager and splintered due to the subject’s interdisciplinary nature. In the postwar era, the discipline attempted to revive as a scientific one, spearheaded by Noam Chomsky and his theory of generative grammar. Linguistics consequently broke away from the predominant structuralist approach of the nineteenth century, returning to rationalist roots. But with the rise of computer technology, Chomsky’s critiques of empirical, applicational linguistic approaches have lost their force. As academic linguistics splinters off again, loses its scientific edge, and regroups with the humanities, linguistics applied in the forensic context may implicate more questions than it answers, …

The Genesis Of The Language Of Arab Youth In The Modern Era/ نشأة لغة الشباب العربي في العصر الحديث, Hamilah Hasan, Febrian Nafisah Nurul Afida

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

The purpose of writing this journal is to find out the language of young people in modern times, which is influenced by the Arabic language Fusha and Amiyah which are used as the language of the native Arabic. The language user is also influenced by Fu

Interventional Training For Out-Of-Distribution Natural Language Understanding, Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing

Research Collection School Of Computing and Information Systems

Out-of-distribution (OOD) settings are used to measure a model’s performance when the distribution of the test data is different from that of the training data. NLU models are known to suffer in OOD settings (Utama et al., 2020b). We study this issue from the perspective of causality, which sees confounding bias as the reason for models to learn spurious correlations. While a common solution is to perform intervention, existing methods handle only known and single confounder, but in many NLU tasks the confounders can be both unknown and multifactorial. In this paper, we propose a novel interventional training method called …

Conversation Disentanglement With Bi-Level Contrastive Learning, Chengyu Huang, Zheng Zhang, Hao Fei, Lizi Liao

Research Collection School Of Computing and Information Systems

Conversation disentanglement aims to group utterances into detached sessions, which is a fundamental task in processing multi-party conversations. Existing methods have two main drawbacks. First, they overemphasize pairwise utterance relations but pay inadequate attention to the utterance-to-context relation modeling. Second, a huge amount of human annotated data is required for training, which is expensive to obtain in practice. To address these issues, we propose a general disentangle model based on bi-level contrastive learning. It brings closer utterances in the same session while encourages each utterance to be near its clustered session prototypes in the representation space. Unlike existing approaches, our …

What Should Streamers Communicate In Livestream E-Commerce? The Effects Of Social Interactions On Live Streaming Performance, Danyang Song, Xi Chen, Zhiling Guo, Xiao Liu Liu, Ruijin. Jin

Research Collection School Of Computing and Information Systems

Compared with traditional e-commerce, livestreaming e-commerce is characterized by direct and intimate communication between streamers and consumers that stimulates instant social interactions. This study focuses on streamers’ three types of information exchange (i.e., product information, social conversation, and social solicitation) and examines their roles in driving both short-term and long-term livestreaming performance (i.e., sales and customer base growth). We find that the informational role of product information (nonpromotional and promotional) is beneficial not only to sales performance, but also to the growth of the customer base. We also find that social conversation has a relationship-building effect that positively impacts both …

Dialogconv: A Lightweight Fully Convolutional Network For Multi-View Response Selection, Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

Research Collection School Of Computing and Information Systems

Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms. Although promising results have been achieved, these models often suffer from slow inference or huge number of parameters. In this paper, we propose a novel lightweight fully convolutional architecture, called DialogConv, for response selection. DialogConv is exclusively built on top of convolution to extract matching features of context and response. Dialogues are modeled in 3D views, where DialogConv performs convolution operations on embedding view, word view and utterance view to capture richer semantic information from multiple contextual views. On the four benchmark datasets, …

Learning Generalizable Models For Vehicle Routing Problems Via Knowledge Distillation, Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee

Research Collection School Of Computing and Information Systems

Recent neural methods for vehicle routing problems always train and test the deep models on the same instance distribution (i.e., uniform). To tackle the consequent cross-distribution generalization concerns, we bring the knowledge distillation to this field and propose an Adaptive Multi-Distribution Knowledge Distillation (AMDKD) scheme for learning more generalizable deep models. Particularly, our AMDKD leverages various knowledge from multiple teachers trained on exemplar distributions to yield a light-weight yet generalist student model. Meanwhile, we equip AMDKD with an adaptive strategy that allows the student to concentrate on difficult distributions, so as to absorb hard-to-master knowledge more effectively. Extensive experimental results …

Performance Comparison Of Several Control Algorithms For Tracking Control Of Pantograph Mechanism, Laylaa Mahmoud Eng, Mohamed Shamseldin Dr, Mohamed Sallam Dr, Abdelghany Mohamed Prof

Future Engineering Journal

A sort of parallel manipulator known as a pantograph robot mechanism was created primarily for industrial requests that required high precision and satisfied speed. While tracking a chosen trajectory profile requires a powerful controller. Because it has four active robot links and one robot passive link in place of just two links like the open chain does, it can carry more loads than the open chain robot mechanism while maintaining accuracy and stability. The calculated model for a closed chain pantograph robot mechanism presented in this paper takes into account the boundary conditions. For the purpose of simulating the dynamics …