Critical Policy Analysis of Resource Allocation Reviews under the Every Student Succeeds Act (ESSA) | Chapter 3| New Ideas Concerning Arts and Social Studies Vol. 5

 

Background: The distribution of funding to schools can be a complex issue, as school systems have limited financial resources with which to advance their goals. The Every Student Succeeds Act (ESSA) introduced a new provision that requires state education agencies (SEAs) to review resource allocation in districts that serve a significant number of schools identified for continuous improvement and a significant number of schools implementing targeted school improvement plans.

 

Purpose: The purpose of this study is to examine the intersection of state, local, and federal policy meant to engage school districts around allocating resources for the purpose of supporting high-need schools. This study examined the discord between policy and practice around the enactment of federal legislation centred around resource allocation through a critical policy lens aimed at assessing whether state and local guidance can promote implementation of the federal guidance on equitable and effective distribution of resources.

 

Methodology: The study reviewed publicly available data across 25 state education agencies and 10 school districts. These districts were randomly selected, but a focus was made on reviewing resources for large school districts. The study reviewed federal, state and local guidance on resource allocation pertaining to the ESSA.

 

Findings: The analysis identified examples of state and local efforts to guide the implementation of the new legislation. However, the findings also highlight the challenge that exists in implementing federal policy and the impact of those challenges across marginalised communities of poverty.

 

Conclusion: Over the past decade, numerous efforts have aimed to promote more equitable resource distribution, leading to state and local policies designed to improve allocation practices. The findings of this study may be used as a guidance tool for policy makers and educational leaders at the state and local levels as they continue to seek ways to support marginalised students. The findings have direct implications for current practitioners, parents, the community, and state/local school boards.

 

 

Author(s) Details

Carlas McCauley
Department of Education Leadership and Policy Studies, Howard University School of Education, Washington DC, USA.

 

Please see the book here :- https://doi.org/10.9734/bpi/nicass/v5/6393

The Role of Poetry in Enhancing Medical Students’ Learning in Dermatology | Chapter 10 | Language, Literature and Education: Research Updates Vol. 3

Background: Poetic science has been defined as the integration of visual arts, performing arts, and creative expression, such as poetry, in embodying science courses such as physical sciences, technology, engineering, mathematics, and medicine to give it a more familiar social construct. Poetry is one of the major categories of literature, which is characterized by having a meter form, rhyme, rhythm and other figurative expressions. It can be incorporated into other forms of literature, such as prose and drama, as it was the focus of the World Poetry Day 2023 theme: ‘Be a Poet even in Prose’. Poetry is being encouraged even in the teaching of medicine, particularly in countries such as Australia, the United States of America, and the United Kingdom.

 

Aim: This study focused on the response of medical students to poems that were part of the lecture slides.

 

Methods: A selected day was set aside for dermatology education with poetry as the focus. Short excerpts of poems taken from a collection of poems titled ‘Scar Songs’ formed part of the lecture slides for two different topics- ' bacterial skin infections and papulosquamous lesions’ on two different days during the dermatology posting for the fifth-year medical students. The poems used were on impetigo on the first day of posting and on lichen planus and psoriasis on the third day.  The response of the medical students was judged by a voice vote, hand count, body language, and attention paid to the poems during the reading.

 

Results: The Majority of the students (75%) raised their hands in affirmation that they enjoyed the class. There were positive emotions such as smiles and laughter among the students. The attention as viewed by the tutor was that of 100% as all the students were awake and alert, with heads up throughout the time of the lecture. On the lecture assessment form, a student stated that the use of poetry aided his understanding.

 

Conclusion: Poetry can be enjoyed by medical students. It can be used as a teaching aid in dermatology. The use of poetry in teaching dermatology can be further enhanced by applying research poetics, which involves transcribing spoken words of patients and clients into verses.

 

Author (s) Details

 

Ekechi Stella Amadi
Dermatology Unit, Department of Internal Medicine, Rivers State University & Rivers State University Teaching Hospital, Port Harcourt, Rivers State, Nigeria and Dermatology in Clinical Practice, Faculty of Life Sciences and Education, University of South Wales, Pontypridd, United Kingdom.

 

Please see the book here:- https://doi.org/10.9734/bpi/lleru/v3/4672

Assessing Trends in Access and Success at the Gert Sibande TVET College, South Africa | Chapter 6 | An Overview of Literature, Language and Education Research Vol. 2

The aim of this study was to assess trends in access and success at the Gert Sibande TVET College during the sample period 2010-2020. The objectives of the study were to assess trends in total headcount enrolments; trends in proportions of headcount enrolments and; trends in completion or certification rates in Report 191 N3, Report 191 N6 and NC (V) Level 4 programmes during 2010-2020. The factors analysed in the study were thus: total headcount enrolment; gross enrolment ratio and; completion or certification rates for all programmes during the 2010-2020 period. The study employed a quantitative methodology. A descriptive approach was applied in this research study, and data was analyzed mainly using trend analysis of headcounts over time and descriptive statistics, particularly average annual growth and certification rates. The key findings were that total enrolments grew by an average annual growth of 8.4%, and mainly consisted of Black Africans and female students during the period under review. Certification rates in the Report 191 N3 programme demonstrated good progress regarding student success during 2016-2018. Despite the decline in 2017, certification rates in Report 191 N6 business studies recorded good performance over the period under review, while certification rates in Report 191 N6 engineering studies programme were considerably poor. Certification rates in NC(V) level 4 programme waned during 2012-2016, despite recoveries during 2017-2019. In general, student success at the College was quite volatile, suggesting the need to implement measures for improvement. The delivery modalities of programmes are still predominantly traditionally lecturer-centred, and there is limited use of technology for blended learning approaches. The few colleges making use of distance provision still use the traditional correspondence paper-based model, which does very little to support student success, and has been associated with poor success rates.

 

Author (s) Details

 

Bongani June Mwale
Gert Sibande TVET College, Mpumalanga 18A Beyers Naude Street, Standerton 2430, South Africa.

 

Mfanelo Ntsobi
Sci-Bono Discovery Centre, Gauteng Cnr. Mirriam Makeba and Helen Joseph Street, Newtown 2000, South Africa.

 

Please see the book here:- https://doi.org/10.9734/bpi/aoller/v2/911

Impact of COVID-19 on the Mental Health of Students in Japan: A Literature Review | Chapter 6 | Recent Updates in Disease and Health Research Vol. 1

This chapter provides an overview of stress and mental health problems, including depression, anxiety, and suicidality, among students in Japan during the coronavirus disease 2019 (COVID-19) pandemic by searching databases and reviewing studies of this topic. The COVID-19 pandemic has substantially impacted the mental health of students worldwide, disrupted routine education, and caused psychological distress, leading to an increase in the number of suicides in this population. In addition to the fear of infection, the lack of awareness related to COVID-19 preventive measures and the limited communication with others caused by self-isolation and restrictions on movement and activities have negatively affected the mental health of students. The COVID-19 pandemic has led to the emergence of reports of its negative impact on mental health worldwide. These repercussions are predicted to be strong among students, as this population is vulnerable to emotional stress because of the psychological challenges associated with the transition to adulthood. However, the data regarding the effects of the COVID-19 pandemic on the mental health of students are insufficient. This chapter provides insights into the stress that developed among students during the COVID-19 pandemic, and its findings can be used to effectively identify and support students who may struggle during future pandemics and crises. In particular, educators may use the results of this study to prevent negative effects on mental health and promote the future academic achievements, general well-being, efficacy, and empowerment of students in this new-normal post-COVID-19 pandemic era.

Author(s) Details:

Masahito Fushimi,
Akita University Health Center, Akita University, 1-1 Tegatagakuen-Machi, Akita City, Akita Prefecture 010-8502, Japan.

Please see the link here: https://stm.bookpi.org/RUDHR-V1/article/view/13214

A Quantitative Study Conducted in Nampula, Mozambique, Examined the Prevalence and Determinants of Anxiety and Depression among Health Sciences Students | Chapter 6 | Advanced Concepts in Medicine and Medical Research Vol. 10

Initiation: Anxiety and depression are ultimate prevalent mental disorders in the globe, close to 50% of the international ailment burden due to insane disorders and substance use. Research with academy students show psychiatric disorders ‘rates about 15 to 25%. This chapter highlights the predominance as well as determinants of two together major mental strength diseases between health science pupils. It estimates anxiety and depression predominance rates in Faculty of Health Sciences’ scholars, at Lúrio University in Nampula, Mozambique, and associated cause, during the Covid-19 pandemic.Juniors experience mental strength stress and interfere with their university very often due to their constructing biased training surroundings and unfavourable life condition. Population’ depressing disorders prevalence is around 7%, but these disorders’ occurrence increased due to the SARS-CoV-2 universal, impairing individual’s functional and psychosocial lives, and increasing the risk of important depressive disorder other than recognized and treated.Explanatory study, (21) cross-sectional quantitative, requesting an indirect questionnaire from Noble to October 2020 to a students’ universe registered at the FHS of UniLúrio in Nampula, during the year 2020: 1,050 graduates. To have a representative sample, the number was calculated accompanying a 95% confidence interval and a border of error of 5%, considering the supposed prevalence (unknown) prepared 50%, obtaining 282 subjects. The draft of the sample was based on the students' approachability to the digital questionnaire on their smartphone, in addition to on their voluntary partnership, aged 18 years or over, registered in the courses of Dentistry, Medicine, Nursing, Food, Pharmacy, and Optometry, who accompanied the first to sixth year of graduation and the one signed an Informed Consent Form (ICF). The Ability of Health Sciences students’ sample grabbed at random in Nampula answered the survey from Noble to October 2020, in a declared Public Calamity ending due to Covid-19 pandemic. Results were analysed accompanying Statistic Package for Commerce with a confidence pause of 95% and an error margin of 5%, utilizing Q2 test to determine statistically important associations.In the study, 276 students solved the survey, 50% of each gender, aged from 17 to 51 age, 60% coming from Nampula province, show high rates of anxiety, concavity and co morbidity, respectively 42.3, 34.3 and 25.9%, accompanying a statistically significant association accompanying bad connections with friends, defective sleep, trauma, lost and offspring antecedents.Conclusion: We habitual the high prevalence of insane disorders in the Mozambican population, probably annoyed by governmental restrictive measures on account of SARS-CoV-2 pandemic, achieving distance digital learning. FHS scholars have high prevalence rates of worry (42%) and depression (34%), mental disorders jolting patient – health student connection, limiting academic achievement and value of life. These disturbances are underlined by an insufficient amount of sleep (RR>2), low BMI, weak interpersonal relationships or frightening or family history, as expected. The Covid-19 universal may have aggravated the occurrence of these disorders.These results are important to allow the Academy to launch preventative exercises and to promote healing options, to grant the teaching–learning arrangement success.

Author(s) Details:

Paulo Henrique das Neves Martins Pires,
Faculty of Health Sciences, Lúrio University, Nampula, Mozambique.

Guida de Miranda,
Faculty of Health Sciences, Lúrio University, Nampula, Mozambique.

Joel Bambamba,
Faculty of Health Sciences, Lúrio University, Nampula, Mozambique.

Regina Iacamurima,
Faculty of Health Sciences, Lúrio University, Nampula, Mozambique.

Angela Bambamba,
Faculty of Health Sciences, Lúrio University, Nampula, Mozambique.

Martins Mupueleque,
University Mussa Bin Bique, Nampula, Mozambique.

Please see the link here: https://stm.bookpi.org/ACMMR-V10/article/view/12820

Learning Metaverse Powered by Artificial Intelligence| Chapter 8 | Recent Progress in Science and Technology Vol. 4

 The Metaverse plank allows users to communicate with 3D virtual rooms and objects using natural language commands. This allows the creation of highly mutual educational applications that are two together engaging and informative. The aim concerning this research proposal is to survey how the Metaverse platform maybe applied in education backgrounds and determine its potential benefits for coaches and learners alike. Specifically, this research will identify opportunities place AI could further improve upon existent solutions in the education area. In addition, the paper will discuss how AI-stimulate Metaverse applications can be used to constitute a smart education ecosystem in addition to evaluate whether combining artificial intelligence into metaverses would result in revised student learning effects.

Author(s) Details:

Alex Mathew,
Department of Cybersecurity, Bethany College, USA.

Please see the link here: https://stm.bookpi.org/RPST-V4/article/view/9446

Keywords: Metaverse, artificial intelligence, student, teachers, learners, and education settings

A Novel Approach to Analyze Pranayama through Machine Learning Techniques | Chapter 07 | New Approaches in Engineering Research Vol. 12

 Pranayama (breathing exercises) is an integral part of yoga practise. When practising pranayama, it's important to keep track of how many cycles you've done. The most important thing is to keep track of how long someone is inhaling and exhaling. Maintaining a proper ratio throughout the inhalation: exhalation cycle is critical. The counting procedure is so taxing for a beginning that it is difficult to retain awareness of the breathing process, and the standard of pranayama practise suffers as a result. The goal of the proposed system is to develop a new method for analysing the quality of Pranayama using machine learning techniques. The main goal of the proposed project is to develop an application that can count inhalations and exhalations. It guarantees that users receive feedback based on their breathing and exhalation patterns. It analyses each breath and exhalation pattern and uses Clustering algorithms to classify inhalation and exhalation. This paper's proposed structure aids in improving the uniformity of pranayama. As a result, respiratory performance improves, which reduces melancholy and anxiety. To test the validity of breathing patterns, the KNN, SVM, Random Forest, and Decision Tree algorithms are used.

Author(S) Details

A. Parkavi
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

V. Sangeetha
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

G. R. Amith
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

B. K. Harini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

M. Supriya
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

K. N. Tejasvini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

View Book:- https://stm.bookpi.org/NAER-V12/article/view/3841

Study on Hackathons for New Innovation Seed and Business Model Development Needs in Digitalization Driven Sustainability, Circularity and Environmentally Friendly Solutions Demanding Digitalizing Societies | Chapter 01 | New Innovations in Economics, Business and Management Vol. 4

 Companies in industrialised countries are under increasing legal pressure from governments and local governments to become more environmentally friendly. Nowadays, sustainability is a commercial benefit and a clear competitive advantage, and it is an intrinsic part of the business strategies of several front-line organisations [1-3]. In this complicated climate, businesses have a number of options for making their services and products, operational operations, and business models more sustainable. This can be accomplished, for example, by lowering income disparity [99] and reducing negative environmental effect [4]. Companies can either engage expensive consultants and study step-by-step guidebooks for reducing waste and conducting more environmentally friendly operations, or they can innovate and advance to a new level of sustainable manufacturing. Different organisations generally work with higher education institutions as part of their innovation strategy, with the purpose of acquiring and implementing new sustainable solution seeds for company operations. Hackathons, code camps, and other similar events are examples of collaborations that have proven to be effective generators of innovation seeds. The study's goal was to map alternative hackathon event cooperation tactics in order to get better results in terms of sustainability in the company-university collaboration connection. This research is based on published materials and data from many companies in Russia, Finland, and Estonia that have successfully developed innovative business ideas. In addition to gaining operational sustainability, the enterprises have reduced energy usage and CO2 emissions and carbon footprints for themselves and their consumers.

Author(S) Details

Ari Happonen
LUT School of Engineering Science, LUT University, Lappeenranta, Finland.

Alexander Nolte
Institute of Computer Science, University of Tartu, Tartu, Estonia and Institute for Software Research, Carnegie Mellon University, Pittsburgh, PA, USA.

Nadia Bystriakova
The Natural History Museum, London, England, United Kingdom.

Ulla Santti
Bio and Circular Economy, Savonia University of Applied Sciences, Kuopio, Finland.

Kalle Kärhä
Forest Finland, Forest Division, Stora Enso, Helsinki, Finland.

View Book:- https://stm.bookpi.org/NIEBM-V4/article/view/5328

A Novel Approach to Analyze Pranayama through Machine Learning Techniques | Chapter 7 | New Approaches in Engineering Research Vol. 12

Pranayama (breathing exercises) is an integral part of yoga practise. When practising pranayama, it's important to keep track of how many cycles you've done. The most important thing is to keep track of how long someone is inhaling and exhaling. Maintaining a proper ratio throughout the inhalation: exhalation cycle is critical. The counting procedure is so taxing for a beginning that it is difficult to retain awareness of the breathing process, and the standard of pranayama practise suffers as a result. The goal of the proposed system is to develop a new method for analysing the quality of Pranayama using machine learning techniques. The main goal of the proposed project is to develop an application that can count inhalations and exhalations. It guarantees that users receive feedback based on their breathing and exhalation patterns. It analyses each breath and exhalation pattern and uses Clustering algorithms to classify inhalation and exhalation. This paper's proposed structure aids in improving the uniformity of pranayama. As a result, respiratory performance improves, which reduces melancholy and anxiety. To test the validity of breathing patterns, the KNN, SVM, Random Forest, and Decision Tree algorithms are used.

Author (S) Details

A. Parkavi
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

V. Sangeetha
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

G. R. Amith
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

B. K. Harini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

M. Supriya
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

K. N. Tejasvini
Department of CSE, M S Ramaiah Institute of Technology, Bangalore, India.

View Book :- https://stm.bookpi.org/NAER-V12/article/view/3841