Search results

District-university partners increasingly rely on “grow-your-own” licensure programs to address teacher shortages. Because vacancies in special education represent a chronic issue, our district-university partnership developed LEAP – the Licensed Educators’ Accelerated Pathway, successfully preparing 26 paraprofessionals as special education teachers (SEs). We describe a model university-district partnership in which we collaborated to design and implement paraprofessionals’ SE licensure program.

In this general review, we describe a district-university partnership collaboration that resolved barriers experienced by paraprofessionals working toward licensure in special education (Essential #4, Reflection and Innovation). The specialized design and partnership solutions were grounded in SE preparation research literature.

25 (28 entered the program and 25 completed) paraprofessionals from one large urban and several regional districts completed special education licensure through LEAP. Slightly more than half of LEAP participants were Black or Hispanic (see Table 1), contributing to the diversification of SE workforce. University-district partnership was successful in designing and delivering a program that allowed participants: a) to remain employed, b) attend evening classes in their geographic region or online, c) complete all field experiences in sponsoring districts (Essential #2) and d) receive concierge advising from a “completion coach.” We describe solutions to barriers experienced by paraprofessionals and advocate for district-university collaboration to address chronic teacher shortages.

Limitations include lack of data on success of program completers during their first year of teaching as they began this work in Fall 2023. Further, because the participating district was large and urban, generalization of program details for small and rural districts is difficult.

Practical tips for developing grow-your-own special education licensure programs are providing. Detailed descriptions of barriers candidates experienced and ways the district-university partners resolved these issues are included. Programs like the one described has the potential to positively impact teacher pipeline issues.

The program described provided highly-trained teachers to fill chronic vacancies in special education in three participating districts/agencies. Because students receiving special education services are at risk for school failure and are disproportionately impacted by teacher turnover, addressing this area through grow-your-own licensure programs represents a diversity, equity and inclusion initiative. Further, upskilling diverse paraprofessionals to licensed teacher roles represent an economic boost, which they might not otherwise have achieved.

Available research literature signals alarm over persistent teacher shortages in hard-to-staff districts and lack of diversity in the teacher workforce, but few published accounts describe successful programs. Partner collaboration fostered a re-imagining of course formatting and delivery to accommodate adult learners, avoiding problems often reported with alternative programs.

This study aims to explore the prospects of istijrar financing in the Islamic banking of Bangladesh. Istijrar is a supply sale contract that facilitates recurrent transactions under a master agreement without needing a deal-to-deal agreement. Murabahah financing in Bangladesh is being criticized for Shari’ah violations, which can be minimized if istijrar financing is integrated and applied.

The study uses a qualitative approach, primarily using a semistructured interview method to collect the primary data. The study conducted 13 one-to-one interviews with leading Islamic banking experts in the country, including Shari’ah scholars, Islamic bankers and regulators. Besides, the study consults with classical and contemporary fiqhi sources to realize the status of istijrar sale in Islamic law. Thematic analysis is performed to explore the qualitative data.

The study finds that istijrar financing has great prospects in the Islamic banking of Bangladesh. Istijrar is applicable in consumer financing and can be offered as an alternative or supplement to murabahah. Also, postimport murabahah financing can be structured with istijrar, while it can also be used in export financing. Besides, a few challenges should be dealt with before offering istijrar, such as proper structure, lack of literacy, stakeholders’ awareness, Shari’ah and regulatory approval and alignment with the law of the land.

Murabahah financing is dominant on the asset side of Islamic banks’ balance sheets in Bangladesh. Murabahah practice in Bangladesh is frequently criticized for some possible Shari’ah violations. Also, more documents are needed for each murabahah operation, which eventually accelerates the costs. Applying istijrar would minimize these issues as it does not require a new contract for each deal. Multiple supplies can be done under a single agreement. Besides, istijrar reduces documentation hassle and transaction costs. Istijrar would be an easy practice and benefit the bank and its clients.

This study contributes to the body of knowledge and the Islamic banking industry. The existing studies have not adequately addressed the potential of istijrar in Islamic banking. In addition, this study will be an eye-opener for Islamic bankers to develop new products with istijrar.

The paper aims to address the increasing issue of teacher shortages and the lack of diversity in America’s educators. Highly diverse communities need ways to support community members interested in careers as teachers. This article explores one promising approach to reach and inspire high school students considering the teaching profession. Camp ExCEL (Exploring Careers in Education and Leadership) provided a pathway allowing rising high school seniors an opportunity to explore the teaching profession. This pathway utilized the Grow Your Own framework, recruiting students from a diverse community and providing them resources and information that would further efforts to become an educator within their community.

The current study examined outcomes from an education summer camp, using qualitative thematic analysis to reflexively interpret participants’ (n = 29) feelings and beliefs about effective teaching, culturally responsive teaching (CRT), project-based learning (PBL) and their camp experience. Data were collected using Google documents and surveys. The four connected themes that emerged were obstacles and barriers to teaching, qualities of an effective teacher, the impact of culturally responsive teaching and project-based learning on classrooms, and the importance of mentorships within education.

The paper provides insight about how an education camp can support high school students as they explore a career in education. Results suggest that focus on high-quality pedagogy can support student understanding of the career. Students also suggested their perception of effective teaching that includes acknowledging the needs of the whole student, modeling high-quality teaching practices and displaying positive professional dispositions.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to conduct and examine education camps further.

The paper includes implications for the development of other education camps, especially in areas with highly diverse populations.

This paper fulfills an identified need to increase the number of persons pursuing a career in education. The focus on a highly diverse community is also an area of need in education. This article details the description of an education camp and the curriculum used, along with findings from data collected during the first year.

Illicit drug use is a well-known global problem that has been noticed to be increased significantly among medical students. This study aims to assess the prevalence and consequences of illicit drug use among medical students in the country of Jordan using the validated Drug Abuse Screening Test-10 (DAST-10).

The authors used a cross-sectional, descriptive design to conduct this study. A total of 2,104 participants from six medical schools were included. A structured online-based English self-administered questionnaire was used for data collection.

Out of 2,104 included participants, 242 (11.5%) reported using illicit drugs in the past year. More than three-quarters (77%) of the drug users suffer from various degrees of problems related to drug use, ranging from risky (41%) to severe risk (6%). Drug use was found to be associated with gender, planned specialty and exposure to psychiatry training.

The cross-sectional design prevents from drawing cause-and-effect relationships and confirming how the tendency toward substance use is affected by the psychological state, sleep quality and exposure to psychiatry. Also, although it is important to measure the subjective observation of distress and sleep, objective estimates of psychological distress and sleep including actigraphy and sleep diary could be helpful to strengthen the findings. Also using an online survey with convenience sampling are some inevitable limitations with the present COVID-19 restrictions. Also, the nature of DAST-10 closed-ended questions precluded from accurately exploring the consequences of substance abuse.

Appropriate screening to identify medical students at risk for substance abuse and provide them with treatment referrals are strongly recommended in this study. In addition, medical schools should provide a comfortable environment that encourages a healthy lifestyle with a responsible attitude toward using drugs.

There is a dearth of information about illicit drug use among medical students, especially in the country of Jordan. The nature of their studies, the different stresses they experience and the impact imposed by other factors such as sociocultural all are likely to make medical students more susceptible to drug abuse. To the best of the authors’ knowledge, this is the first cross-national study of its kind in Jordan with a representative sample of 2,104 participants. We assessed the prevalence and consequences of self-reported illicit drug use and the sleep quality of medical students from all schools of medicine in Jordan.

The purpose of this paper is to empirically analyze the impact of social inclusion factors and foreign fund inflows on reducing gender-based unemployment in India.

A time series data set for the period of 1991–2021 has been considered, and an autoregressive distributed lag methodology has been applied to measure the short- and long-run impact of social inclusion and foreign fund inflows on reducing gender-based unemployment in India.

According to the study’s findings, both social inclusion and foreign fund inflows are critical factors for reducing male unemployment. However, in the case of female unemployment, only social inclusion factors play an important role, whereas foreign fund inflows have no role in it.

Analyzing the factors that affect gender-based unemployment has always been a grey area in literature. There are very few studies that capture gender-based unemployment in India, making this study a novice contribution. Second, it examines the relationship between foreign fund inflows, social inclusion and unemployment, which is another novel area of investigation. Finally, this study provides comprehensive and distinct results for both male and female unemployment that can help policymakers devise gender-based unemployment policies.

The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

The number of universities offering Master of Translation and Interpreting (MTI) in China has increased to 316 in 15 years. This paper aims to take a closer look at the production patterns of experimental report theses in terms of total number, distribution across universities, supervision model and research content, reflects on the problems and suggests improvements, provides a reference for MTI education in China and beyond.

This paper presents a bibliometric analysis of the published final theses of experimental reports for the MTI in China between the years 2012 and 2022, the period during which this type of thesis was produced, to identify the production patterns of these theses.

The number of experimental reports published by the nine leading universities accounts for 80% of the total 296 papers. The uneven development is also reflected in the supervision model and research content. Most universities can structure the main content of theses according to the suggestions of the MTI Guidance Training Outline. However, there are still deficiencies in the areas of experimental design, experimental validity, research questions and academic standards.

This paper reflects on the problems of MTI theses of experimental reports. Also, suggestions are made for linking top-level design and university education, for joint progress in faculty development and talent training and for integrating industrial aspects and international visions, to provide a reference for MTI education in China and beyond.

The purpose of this paper is to perform a comparative analysis of the delay associated in running two real-time machine learning-based applications, namely, a video quality assessment (VQA) and a phishing detection application by using the edge, fog and cloud computing paradigms.

The VQA algorithm was developed using Android Studio and run on a mobile phone for the edge paradigm. For the fog paradigm, it was hosted on a Java server and for the cloud paradigm on the IBM and Firebase clouds. The phishing detection algorithm was embedded into a browser extension for the edge paradigm. For the fog paradigm, it was hosted on a Node.js server and for the cloud paradigm on Firebase.

For the VQA algorithm, the edge paradigm had the highest response time while the cloud paradigm had the lowest, as the algorithm was computationally intensive. For the phishing detection algorithm, the edge paradigm had the lowest response time, and the cloud paradigm had the highest, as the algorithm had a low computational complexity. Since the determining factor for the response time was the latency, the edge paradigm provided the smallest delay as all processing were local.

The main limitation of this work is that the experiments were performed on a small scale due to time and budget constraints.

A detailed analysis with real applications has been provided to show how the complexity of an application can determine the best computing paradigm on which it can be deployed.

The time-varying equivalent linear temperature gradient (ELTG) significantly affects the development of faulting and must therefore be accounted for in pavement design. The same is true for faulting of bonded concrete overlays of asphalt (BCOA) with slabs larger than 3 x 3 m. However, the evaluation of ELTG in Mechanistic-Empirical (ME) BCOA design is highly time-consuming. The use of an effective ELTG (EELTG) is an efficient alternative to calculating ELTG. In this study, a model to quickly evaluate EELTG was developed for faulting in BCOA for panels 3 m or longer in size, whose faulting is sensitive to ELTG.

A database of EELTG responses was generated for 144 BCOAs at 169 locations throughout the continental United States, which was used to develop a series of prediction models. Three methods were evaluated: multiple linear regression (MLR), artificial neural networks (ANNs), and multi-gene genetic programming (MGGP). The performance of each method was compared, considering both accuracy and model complexity.

It was shown that ANNs display the highest accuracy, with an R² of 0.90 on the validation dataset. MLR and MGGP models achieved R² of 0.73 and 0.71, respectively. However, these models consisted of far fewer free parameters as compared to the ANNs. The model comparison performed in this study highlights the need for researchers to consider the complexity of models so that their direct implementation is feasible.

This research produced a rapid EELTG prediction model for BCOAs that can be incorporated into the existing faulting model framework.