4,482 research outputs found
UMSL Bulletin 2023-2024
The 2023-2024 Bulletin and Course Catalog for the University of Missouri St. Louis.https://irl.umsl.edu/bulletin/1088/thumbnail.jp
Comparative Multiple Case Study into the Teaching of Problem-Solving Competence in Lebanese Middle Schools
This multiple case study investigates how problem-solving competence is integrated into teaching practices in private schools in Lebanon. Its purpose is to compare instructional approaches to problem-solving across three different programs: the American (Common Core State Standards and New Generation Science Standards), French (Socle Commun de Connaissances, de Compétences et de Culture), and Lebanese with a focus on middle school (grades 7, 8, and 9). The project was conducted in nine schools equally distributed among three categories based on the programs they offered: category 1 schools offered the Lebanese program, category 2 the French and Lebanese programs, and category 3 the American and Lebanese programs. Each school was treated as a separate case.
Structured observation data were collected using observation logs that focused on lesson objectives and specific cognitive problem-solving processes. The two logs were created based on a document review of the requirements for the three programs. Structured observations were followed by semi-structured interviews that were conducted to explore teachers' beliefs and understandings of problem-solving competence. The comparative analysis of within-category structured observations revealed an instruction ranging from teacher-led practices, particularly in category 1 schools, to more student-centered approaches in categories 2 and 3. The cross-category analysis showed a reliance on cognitive processes primarily promoting exploration, understanding, and demonstrating understanding, with less emphasis on planning and executing, monitoring and reflecting, thus uncovering a weakness in addressing these processes. The findings of the post-observation semi-structured interviews disclosed a range of definitions of problem-solving competence prevalent amongst teachers with clear divergences across the three school categories.
This research is unique in that it compares problem-solving teaching approaches across three different programs and explores underlying teachers' beliefs and understandings of problem-solving competence in the Lebanese context. It is hoped that this project will inform curriculum developers about future directions and much-anticipated reforms of the Lebanese program and practitioners about areas that need to be addressed to further improve the teaching of problem-solving competence
Fairness Testing: A Comprehensive Survey and Analysis of Trends
Unfair behaviors of Machine Learning (ML) software have garnered increasing
attention and concern among software engineers. To tackle this issue, extensive
research has been dedicated to conducting fairness testing of ML software, and
this paper offers a comprehensive survey of existing studies in this field. We
collect 100 papers and organize them based on the testing workflow (i.e., how
to test) and testing components (i.e., what to test). Furthermore, we analyze
the research focus, trends, and promising directions in the realm of fairness
testing. We also identify widely-adopted datasets and open-source tools for
fairness testing
Religion, Education, and the ‘East’. Addressing Orientalism and Interculturality in Religious Education Through Japanese and East Asian Religions
This work addresses the theme of Japanese religions in order to rethink theories and practices pertaining to the field of Religious Education. Through an interdisciplinary framework that combines the study of religions, didactics and intercultural education, this book puts the case study of Religious Education in England in front of two ‘challenges’ in order to reveal hidden spots, tackle unquestioned assumptions and highlight problematic areas. These ‘challenges’, while focusing primarily on Japanese religions, are addressed within the wider contexts of other East Asian traditions and of the modern historical exchanges with the Euro-American societies. As result, a model for teaching Japanese and other East Asian religions is discussed and proposed in order to fruitfully engage issues such as orientalism, occidentalism, interculturality and critical thinking
2023-2024 Boise State University Undergraduate Catalog
This catalog is primarily for and directed at students. However, it serves many audiences, such as high school counselors, academic advisors, and the public. In this catalog you will find an overview of Boise State University and information on admission, registration, grades, tuition and fees, financial aid, housing, student services, and other important policies and procedures. However, most of this catalog is devoted to describing the various programs and courses offered at Boise State
The nexus between e-marketing, e-service quality, e-satisfaction and e-loyalty: a cross-sectional study within the context of online SMEs in Ghana
The spread of the Internet, the proliferation of mobile devices, and the onset of the COVID-19
pandemic have given impetus to online shopping in Ghana and the subregion. This situation
has also created opportunities for SMEs to take advantage of online marketing technologies.
However, there is a dearth of studies on the link between e-marketing and e-loyalty in terms
of online shopping, thereby creating a policy gap on the prospects for business success for
online SMEs in Ghana. Therefore, the purpose of the study was to examine the relationship
between the main independent variable, e-marketing and the main dependent variable, e-loyalty, as well as the mediating roles of e-service quality and e-satisfaction in the link between
e-marketing and e-loyalty. The study adopted a positivist stance with a quantitative method.
The study was cross-sectional in nature with the adoption of a descriptive correlational design.
A Structural Equation Modelling approach was employed to examine the nature of the
associations between the independent, mediating and dependent variables. A sensitivity
analysis was also conducted to control for the potential confounding effects of the
demographic factors. A sample size of 1,293 residents in Accra, Ghana, who had previously
shopped online, responded to structured questionnaire in an online survey via Google Docs.
The IBM SPSS Amos 24 software was used to analyse the data collected. Positive
associations were found between the key constructs in the study: e-marketing, e-service
quality, e-satisfaction and e-Loyalty. The findings from the study gave further backing to the
diffusion innovation theory, resource-based view theory, and technology acceptance model.
In addition, e-service quality and e-satisfaction individually and jointly mediated the
relationship between e-marketing and e-loyalty. However, these mediations were partial,
instead of an originally anticipated full mediation. In terms of value and contribution, this is the
first study in a developing economy context to undertake a holistic examination of the key
marketing performance variables within an online shopping context. The study uniquely tested
the mediation roles of both e-service quality and e-satisfaction in the link between e-marketing
and e-loyalty. The findings of the study are novel in the e-marketing literature as they
unearthed the key antecedents of e-loyalty for online SMEs in a developing economy context.
The study suggested areas for further related studies and also highlighted the limitations
Cyberbullying in educational context
Kustenmacher and Seiwert (2004) explain a man’s inclination to resort to technology in his interaction with the environment and society. Thus, the solution to the negative consequences of Cyberbullying in a technologically dominated society is represented by technology as part of the technological paradox (Tugui, 2009), in which man has a dual role, both slave and master, in the interaction with it. In this respect, it is noted that, notably after 2010, there have been many attempts to involve artificial intelligence (AI) to recognize, identify, limit or avoid the manifestation of aggressive behaviours of the CBB type. For an overview of the use of artificial intelligence in solving various problems related to CBB, we extracted works from the Scopus database that respond to the criterion of the existence of the words “cyberbullying” and “artificial intelligence” in the Title, Keywords and Abstract. These articles were the subject of the content analysis of the title and, subsequently, only those that are identified as a solution in the process of recognizing, identifying, limiting or avoiding the manifestation of CBB were kept in the following Table where we have these data synthesized and organized by years
Information Theory for Complex Systems Scientists
In the 21st century, many of the crucial scientific and technical issues
facing humanity can be understood as problems associated with understanding,
modelling, and ultimately controlling complex systems: systems comprised of a
large number of non-trivially interacting components whose collective behaviour
can be difficult to predict. Information theory, a branch of mathematics
historically associated with questions about encoding and decoding messages,
has emerged as something of a lingua franca for those studying complex systems,
far exceeding its original narrow domain of communication systems engineering.
In the context of complexity science, information theory provides a set of
tools which allow researchers to uncover the statistical and effective
dependencies between interacting components; relationships between systems and
their environment; mereological whole-part relationships; and is sensitive to
non-linearities missed by commonly parametric statistical models.
In this review, we aim to provide an accessible introduction to the core of
modern information theory, aimed specifically at aspiring (and established)
complex systems scientists. This includes standard measures, such as Shannon
entropy, relative entropy, and mutual information, before building to more
advanced topics, including: information dynamics, measures of statistical
complexity, information decomposition, and effective network inference. In
addition to detailing the formal definitions, in this review we make an effort
to discuss how information theory can be interpreted and develop the intuition
behind abstract concepts like "entropy," in the hope that this will enable
interested readers to understand what information is, and how it is used, at a
more fundamental level
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities
With the increasing amount of spatial-temporal~(ST) ocean data, numerous
spatial-temporal data mining (STDM) studies have been conducted to address
various oceanic issues, e.g., climate forecasting and disaster warning.
Compared with typical ST data (e.g., traffic data), ST ocean data is more
complicated with some unique characteristics, e.g., diverse regionality and
high sparsity. These characteristics make it difficult to design and train STDM
models. Unfortunately, an overview of these studies is still missing, hindering
computer scientists to identify the research issues in ocean while discouraging
researchers in ocean science from applying advanced STDM techniques. To remedy
this situation, we provide a comprehensive survey to summarize existing STDM
studies in ocean. Concretely, we first summarize the widely-used ST ocean
datasets and identify their unique characteristics. Then, typical ST ocean data
quality enhancement techniques are discussed. Next, we classify existing STDM
studies for ocean into four types of tasks, i.e., prediction, event detection,
pattern mining, and anomaly detection, and elaborate the techniques for these
tasks. Finally, promising research opportunities are highlighted. This survey
will help scientists from the fields of both computer science and ocean science
have a better understanding of the fundamental concepts, key techniques, and
open challenges of STDM in ocean
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