Search results for: evolving learning
1622 The Sociocultural Adaptation, Openness, and Success of Sojourn of Foreign Students in Tarlac City, Philippines
Authors: Maria Sheila S. Garcia
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A good number of researches indicate that living in another country may create different and unexpected adjustment problems, and foreign students are not exempted from this. To provide an understanding of this process, 30 foreign college students studying English in Tarlac City were asked to answer questionnaires. This is to determine their sociocultural adaptation, openness to the host culture and success of sojourn. Through statistical analysis, it was found that the students experience greater difficulty in the academic area. Moderate difficulty was attributed to everyday life and social interactions. Albeit difficult, what they like best is the school’s methods of teaching English while the areas that need improvement are the libraries and internet connection. The only significant relationship was found between sociocultural adaptation and success of sojourn. Negatively correlated, if students experience greater difficulties in their host country, they are likely to regret their stay and will not recommend it to anyone. Openness to the host culture did not have an effect on the adaptation and success of sojourn. The short period of time that the students have are spent in studying rather than making friends. Nonetheless, this indicates the need to look deeper into the academic, extra-curricular activities and facilities provided by learning institutions.Keywords: foreign students, sociocultural adaptation, success of sojourn, Tarlac Philippines
Procedia PDF Downloads 6001621 Elevated Systemic Oxidative-Nitrosative Stress and Cerebrovascular Function in Professional Rugby Union Players: The Link to Impaired Cognition
Authors: Tom S. Owens, Tom A. Calverley, Benjamin S. Stacey, Christopher J. Marley, George Rose, Lewis Fall, Gareth L. Jones, Priscilla Williams, John P. R. Williams, Martin Steggall, Damian M. Bailey
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Introduction and aims: Sports-related concussion (SRC) represents a significant and growing public health concern in rugby union, yet remains one of the least understood injuries facing the health community today. Alongside increasing SRC incidence rates, there is concern that prior recurrent concussion may contribute to long-term neurologic sequelae in later-life. This may be due to an accelerated decline in cerebral perfusion, a major risk factor for neurocognitive decline and neurodegeneration, though the underlying mechanisms remain to be established. The present study hypothesised that recurrent concussion in current professional rugby union players would result in elevated systemic oxidative-nitrosative stress, reflected by a free radical-mediated reduction in nitric oxide (NO) bioavailability and impaired cerebrovascular and cognitive function. Methodology: A longitudinal study design was adopted across the 2017-2018 rugby union season. Ethical approval was obtained from the University of South Wales Ethics Committee. Data collection is ongoing, and therefore the current report documents result from the pre-season and first half of the in-season data collection. Participants were initially divided into two subgroups; 23 professional rugby union players (aged 26 ± 5 years) and 22 non-concussed controls (27 ± 8 years). Pre-season measurements were performed for cerebrovascular function (Doppler ultrasound of middle cerebral artery velocity (MCAv) in response to hypocapnia/normocapnia/hypercapnia), cephalic venous concentrations of the ascorbate radical (A•-, electron paramagnetic resonance spectroscopy), NO (ozone-based chemiluminescence) and cognition (neuropsychometric tests). Notational analysis was performed to assess contact in the rugby group throughout each competitive game. Results: 1001 tackles and 62 injuries, including three concussions were observed across the first half of the season. However, no associations were apparent between number of tackles and any injury type (P > 0.05). The rugby group expressed greater oxidative stress as indicated by increased A•- (P < 0.05 vs. control) and a subsequent decrease in NO bioavailability (P < 0.05 vs. control). The rugby group performed worse in the Ray Auditory Verbal Learning Test B (RAVLT-B, learning, and memory) and the Grooved Pegboard test using both the dominant and non-dominant hands (visuomotor coordination, P < 0.05 vs. control). There were no between-group differences in cerebral perfusion at baseline (MCAv: 54 ± 13 vs. 59 ± 12, P > 0.05). Likewise, no between-group differences in CVRCO2Hypo (2.58 ± 1.01 vs. 2.58 ± 0.75, P > 0.05) or CVRCO2Hyper (2.69 ± 1.07 vs. 3.35 ± 1.28, P > 0.05) were observed. Conclusion: The present study identified that the rugby union players are characterized by impaired cognitive function subsequent to elevated systemic-oxidative-nitrosative stress. However, this appears to be independent of any functional impairment in cerebrovascular function. Given the potential long-term trajectory towards accelerated cognitive decline in populations exposed to SRC, prophylaxis to increase NO bioavailability warrants consideration.Keywords: cognition, concussion, mild traumatic brain injury, rugby
Procedia PDF Downloads 1761620 A Script for Presentation to the Management of a Teaching Hospital on DXplain Clinical Decision Support System
Authors: Jacob Nortey
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Introduction: In recent years, there has been an enormous success in discoveries of scientific knowledge in medicine coupled with the advancement of technology. Despite all these successes, diagnoses and treatment of diseases have become complex. According to the Ibero – American Study of Adverse Effects (IBEAS), about 10% of hospital patients suffer from secondary damage during the care process, and approximately 2% die from this process. Many clinical decision support systems have been developed to help mitigate some healthcare medical errors. Method: Relevant databases were searched, including ones that were peculiar to the clinical decision support system (that is, using google scholar, Pub Med and general google searches). The articles were then screened for a comprehensive overview of the functionality, consultative style and statistical usage of Dxplain Clinical decision support systems. Results: Inferences drawn from the articles showed high usage of Dxplain clinical decision support system for problem-based learning among students in developed countries as against little or no usage among students in Low – and Middle – income Countries. The results also indicated high usage among general practitioners. Conclusion: Despite the challenges Dxplain presents, the benefits of its usage to clinicians and students are enormous.Keywords: dxplain, clinical decision support sytem, diagnosis, support systems
Procedia PDF Downloads 791619 Linguistic Symbols Principle Construction in Cultural Creative Product Design
Authors: Pei-Jun Xue, Ming-Yu Hsiao
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Language is the emblem of a culture, representing the extension of cultural life. In addition, it is also an important tool for communication and message transmission. It carries not only information but also covers the self-conscious of the information constructor as well as the situational experiences of users from different backgrounds. Moreover, design can be regarded as a language, a dynamic process of coding and decoding. With the designers’ experiences in everyday life, they bring them into the products’ experiences. Considered from the aspects of atmosphere and the five senses, a designer should consider and reconsider how to communicate the messages effectively to suit the users’ needs. In the process of language learning, we should understand the construction behind it and the rules of the compositions of language codes. Regarding the understanding of the design of works or the form of product construction, it is necessary for us to understand the coding system during the process of product construction. The form (signifiers) and meanings (signified) of Chinese characters are closely related. At the same time, it is also a process of simplifying the complicated to the simple. This study discusses the chinese characters that used in the cultural symbols construction, and analysis of existing products by Peirce's semiotic triangles. Through people's cognition of Chinese characters and constitute method, help to understand the way of construction product symbol.Keywords: cultural-creative product design, cultural product, cultural symbols, linguistic symbols
Procedia PDF Downloads 4511618 Industrial Management of Highland Community: The Hmong Ethnic Group Hill Tribe, Phetchabun Province
Authors: Kusuma Palaprom
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The aims of this research are: 1) to study Hmong ethnic group hill tribe’s way of life and community industrial management and 2) to bring the industrial management into the community. This is a Participatory Action Research (PAR) using qualitative and quantitative data. The findings are: 1) Way of living and learning from nature of Hmong ethnic group hill tribe bases on their cultural relic belief. Hmong‘s way of life or occupation is traditional agriculture which cannot be business because they cannot adopt the industrial management to the community economic innovation base on local wisdom. 2) Quality of life development using local wisdom cost is not worth. Hmong ethnic group hill tribe are lack of modern knowledge-managerial aspect and the application of local wisdom cost and 3) the government supports for Hmong’s developing of life quality are limited. Solving problem guidelines are: 1) to create awareness of ethnic group wisdom-industrial conservation. 2) Government policy need to give an opportunity and motivate ethnic group community to do the cultural-industrial conservation with industrial management process and local wisdom cost. In order to, improve the sustainability of quality of life.Keywords: industrial management, highland community, community empowerment ethnic group
Procedia PDF Downloads 5701617 The Global Language Teaching Spots to Accelerate Globalization and Equitable Economic Development Worldwide
Authors: Setyo Pamuji
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The basis of this research is to create an international business project by developing an area in every country which focused on global language teaching to accelerate huge project of internationalization for mankind better with equity. It is to make an ease, learning more effective and efficient as well as economic development significantly at the place. Some have attempted to establish it, but could have not succeeded. This study uses stratified random sampling method to determine respondents. It is caused by population coming from around of Indonesia which is heterogeneity. Above all, researcher has already known well the spot including the mapping of students and societies, over 5-year, from beginning studying English (2011) until teaching English (2015). This quantitative research is able to analyze the vital factor of successful Language Village at Pare, Kediri, East Java, Indonesia which has never been obtained anywhere. This project provides valuable information regarding management used by the Language Village. Overall approach depicts vigorous marketing strategy and dedication blended. This will allow for more individual consideration of economist and may direct future research on the uniqueness of the Language Village to ascertain more profound understanding of the village which succeeds inviting people from other places to come, beside formal management and marketing.Keywords: internationalization, accelerate, global language, economic development, blended, globalization
Procedia PDF Downloads 1761616 A General Framework for Knowledge Discovery Using High Performance Machine Learning Algorithms
Authors: S. Nandagopalan, N. Pradeep
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The aim of this paper is to propose a general framework for storing, analyzing, and extracting knowledge from two-dimensional echocardiographic images, color Doppler images, non-medical images, and general data sets. A number of high performance data mining algorithms have been used to carry out this task. Our framework encompasses four layers namely physical storage, object identification, knowledge discovery, user level. Techniques such as active contour model to identify the cardiac chambers, pixel classification to segment the color Doppler echo image, universal model for image retrieval, Bayesian method for classification, parallel algorithms for image segmentation, etc., were employed. Using the feature vector database that have been efficiently constructed, one can perform various data mining tasks like clustering, classification, etc. with efficient algorithms along with image mining given a query image. All these facilities are included in the framework that is supported by state-of-the-art user interface (UI). The algorithms were tested with actual patient data and Coral image database and the results show that their performance is better than the results reported already.Keywords: active contour, bayesian, echocardiographic image, feature vector
Procedia PDF Downloads 4201615 Multivariate Assessment of Mathematics Test Scores of Students in Qatar
Authors: Ali Rashash Alzahrani, Elizabeth Stojanovski
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Data on various aspects of education are collected at the institutional and government level regularly. In Australia, for example, students at various levels of schooling undertake examinations in numeracy and literacy as part of NAPLAN testing, enabling longitudinal assessment of such data as well as comparisons between schools and states within Australia. Another source of educational data collected internationally is via the PISA study which collects data from several countries when students are approximately 15 years of age and enables comparisons in the performance of science, mathematics and English between countries as well as ranking of countries based on performance in these standardised tests. As well as student and school outcomes based on the tests taken as part of the PISA study, there is a wealth of other data collected in the study including parental demographics data and data related to teaching strategies used by educators. Overall, an abundance of educational data is available which has the potential to be used to help improve educational attainment and teaching of content in order to improve learning outcomes. A multivariate assessment of such data enables multiple variables to be considered simultaneously and will be used in the present study to help develop profiles of students based on performance in mathematics using data obtained from the PISA study.Keywords: cluster analysis, education, mathematics, profiles
Procedia PDF Downloads 1261614 Positive Psychology and the Social Emotional Ability Instrument (SEAI)
Authors: Victor William Harris
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This research is a validation study of the Social Emotional Ability Inventory (SEAI), a multi-dimensional self-report instrument informed by positive psychology, emotional intelligence, social intelligence, and sociocultural learning theory. Designed for use in tandem with the Social Emotional Development (SEAD) theoretical model, the SEAI provides diagnostic-level guidance for professionals and individuals interested in investigating, identifying, and understanding social, emotional strengths, as well as remediating specific social competency deficiencies. The SEAI was shown to be psychometrically sound, exhibited strong internal reliability, and supported the a priori hypotheses of the SEAD. Additionally, confirmatory factor analysis provided evidence of goodness of fit, convergent and divergent validity, and supported a theoretical model that reflected SEAD expectations. The SEAI and SEAD hold potentially far-reaching and important practical implications for theoretical guidance and diagnostic-level measurement of social, emotional competency across a wide range of domains. Strategies researchers, practitioners, educators, and individuals might use to deploy SEAI in order to improve quality of life outcomes are discussed.Keywords: emotion, emotional ability, positive psychology-social emotional ability, social emotional ability, social emotional ability instrument
Procedia PDF Downloads 2571613 Sociocultural Barriers to the Development of Autonomous Foreign Language Learning: Some Teaching Strategies to Overcome Such Challenges in a Mexican Context
Authors: Zaideth Zobeida Ponce Alonso, Laura Emilia Fierro Lopez, Maria del Rocio Dominguez Gaona
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The present study is part of the Master in Modern Languages at the Universidad Autónoma de Baja California, and it aims to analyze how the sociocultural background might influence the development of learner autonomy in foreign language education in order to propose some strategies to overcome such challenges. Given the lack of research on the sociocultural barriers in learner autonomy in a Mexican context and the need to hear teachers’ voices about this issue, qualitative data was obtained from semi-structured interviews with six language teachers on their perspectives on learner autonomy, its application to the language classroom, and their experiences with Mexican and foreign learners/contexts in order to find out differences regarding learner autonomy. The results suggest three main sociocultural characteristics: preference for an authority figure, tendency towards collectivism, and low tolerance of ambiguity. Finally, nine strategies were proposed in order to help language teachers to deal with such sociocultural characteristics when fostering learner autonomy in the border city of Mexicali, where this study was carried out.Keywords: learner autonomy, Mexican context, sociocultural influence, teachers' perspectives, teaching strategies
Procedia PDF Downloads 1571612 Investigation of the Physical Computing in Computational Thinking Practices, Computer Programming Concepts and Self-Efficacy for Crosscutting Ideas in STEM Content Environments
Authors: Sarantos Psycharis
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Physical Computing, as an instructional model, is applied in the framework of the Engineering Pedagogy to teach “transversal/cross-cutting ideas” in a STEM content approach. Labview and Arduino were used in order to connect the physical world with real data in the framework of the so called Computational Experiment. Tertiary prospective engineering educators were engaged during their course and Computational Thinking (CT) concepts were registered before and after the intervention across didactic activities using validated questionnaires for the relationship between self-efficacy, computer programming, and CT concepts when STEM content epistemology is implemented in alignment with the Computational Pedagogy model. Results show a significant change in students’ responses for self-efficacy for CT before and after the instruction. Results also indicate a significant relation between the responses in the different CT concepts/practices. According to the findings, STEM content epistemology combined with Physical Computing should be a good candidate as a learning and teaching approach in university settings that enhances students’ engagement in CT concepts/practices.Keywords: arduino, computational thinking, computer programming, Labview, self-efficacy, STEM
Procedia PDF Downloads 1131611 A Review of Serious Games Characteristics: Common and Specific Aspects
Authors: B. Ben Amara, H. Mhiri Sellami
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Serious games adoption is increasing in multiple fields, including health, education, and business. In the same way, many research studied serious games (SGs) for various purposes such as classification, positive impacts, or learning outcomes. Although most of these research examine SG characteristics (SGCs) for conducting their studies, to author’s best knowledge, there is no consensus about features neither in number not in the description. In this paper, we conduct a literature review to collect essential game attributes regardless of the application areas and the study objectives. Firstly, we aimed to define Common SGCs (CSGCs) that characterize the game aspect, by gathering features having the same meanings. Secondly, we tried to identify specific features related to the application area or to the study purpose as a serious aspect. The findings suggest that any type of SG can be defined by a number of CSGCs depicting the gaming side, such as adaptability and rules. In addition, we outlined a number of specific SGCs describing the 'serious' aspect, including specific needs of the domain and indented outcomes. In conclusion, our review showed that it is possible to bridge the research gap due to the lack of consensus by using CSGCs. Moreover, these features facilitate the design and development of successful serious games in any domain and provide a foundation for further research in this area.Keywords: serious game characteristics, serious games common aspects, serious games features, serious games outcomes
Procedia PDF Downloads 1361610 Mind Care Assistant - Companion App
Authors: Roshani Gusain, Deep Sinha, Karan Nayal, Anmol Kumar Mishra, Manav Singh
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In this research paper, we introduce "Mind Care Assistant - Companion App", which is a Flutter and Firebase-based mental health monitor. The app wants to improve and monitor the mental health of its users, it uses noninvasive ways to check for a change in their emotional state. By responding to questions, the app will provide individualized suggestions ᅳ tasks and mindfulness exercises ᅳ for users who are depressed or anxious. The app features a chat-bot that incorporates cognitive behavioural therapy (CBT) principles and combines natural language processing with machine learning to develop personalised responses. The feature of the app that makes it easy for us to choose between iOS and Android is cross-platform, which allows users from both mobile systems to experience almost no changes in their interfaces. With Firebase integration synchronized and real-time data storage, security is easily possible. The paper covers the architecture of the app, how it was developed and some important features. The primary research result presents the promise of a "Mind Care Assistant" in mental health care using new wait-for-health technology, proposing a full stack application to be able to manage depression/anxiety and overall Mental well-being very effectively.Keywords: mental health, mobile application, flutter, firebase, Depression, Anxiety
Procedia PDF Downloads 151609 Computer Based Model for Collaborative Research as a Panacea for National Development in Third World Countries
Authors: M. A. Rahman, A. O. Enikuomehin
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Sharing commitment to reach a common goal in research by harnessing available resources from two or more parties can simply be referred to as collaborative research. Asides from avoiding duplication of research, the benefits often accrued from such research alliances include time economy as well as expenses reduction in completing such studies. Likewise, it provides an avenue to produce a wider horizon of scientific knowledge sequel to gathering of skills, knowledge and resources. In institutions of higher learning and research institutes, it often gives scholars an opportunity to strengthen the teaching and research capacity of their various institutions. Between industries and institutions, collaborative research breeds promising relationship that could be geared towards addressing different research problems such as producing and enhancing industrial-based products and services, including technological transfer. For Nigeria to take advantage of this collaboration, different issues like licensing of technology, intellectual property right, confidentiality, and funding among others, which could arise during this collaborative research programme, are identified in this paper. An important tool required to achieve this height in developing economy is the use of appropriate computer model. The paper highlights the costs of the collaborations and likewise stresses the need for evaluating the effectiveness and efficiency of such collaborative research activities and proposes an appropriate computer model to assist in this regard.Keywords: collaborative research, developing country, computerization, model
Procedia PDF Downloads 3331608 A Soft System Approach to Explore Ill-Defined Issues in Distance Education System - A Case of Saudi Arabia
Authors: Sulafah Basahel
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Nowadays, Higher Education Institutions (HEIs) around the world are attempting to utilize Information and Communication Technologies (ICTs) to enhance learning process and strategies of knowledge delivery for students through Distance Education (DE) system. Stakeholders in DE system face a complex situation of different ill-defined and related issues that influence decision making process. In this study system thinking as a body of knowledge is used to explore the emergent properties that produced from these connections between issues and could have either positive or negative outcomes for the DE development. Checkland Soft System Methodology (SSM) - Mode 2 is employed in a cultural context of Saudi Arabia for more knowledge acquisition purposes among multiple stakeholders in DE rather than solving problems to achieve an overall development of DE system. This paper will discuss some political, cultural issues and connections between them that impact on effectiveness of stakeholders’ activities and relations. This study will significantly contribute to both system thinking and education fields by leading decision makers in DE to reconsider future plans, strategies and right actions for more successful educational practices.Keywords: distance education, higher education institutions, ill-defined issues, soft system methodology-Mode 2
Procedia PDF Downloads 2701607 Learning Spanish as a Second Language: Using Infinitives as Verbal Complements
Authors: Jiyoung Yoon
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This study examines Spanish textbook explanations of infinitival complements and how they can affect a learner’s second-language acquisition process. Verbs taking infinitival complements are commonly found in the mandate, volition, and emotion verbs, both for Spanish and English. However, while some English verbs take gerunds (María avoids eating/*to eat meat), in Spanish a gerund never functions as the complement of a verb (María evita comer/*comiendo carne). Because of these differences, English learners of Spanish often have difficulty acquiring infinitival complement constructions in Spanish. Specifically, they may employ English-like complement structures, producing such ungrammatical utterances as *Odio comiendo tacos ‘I hate eating tacos.' A compounding factor is that many Spanish textbooks do not emphasize the usages of infinitival complements and, when explanations are provided, they are often vague and insufficient. This study examines Spanish textbook explanations of infinitival complements (intermediate and advanced college-level Spanish textbooks and grammar reference books published in the United States) to determine areas that are problematic and insufficient and how they can affect learners’ second-language acquisition process. In this study, alternative principle-driven explanations are proposed as a replacement.Keywords: Spanish, teaching, second language, infinitival complement, textbook
Procedia PDF Downloads 3621606 Energy Efficient Clustering with Adaptive Particle Swarm Optimization
Authors: KumarShashvat, ArshpreetKaur, RajeshKumar, Raman Chadha
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Wireless sensor networks have principal characteristic of having restricted energy and with limitation that energy of the nodes cannot be replenished. To increase the lifetime in this scenario WSN route for data transmission is opted such that utilization of energy along the selected route is negligible. For this energy efficient network, dandy infrastructure is needed because it impinges the network lifespan. Clustering is a technique in which nodes are grouped into disjoints and non–overlapping sets. In this technique data is collected at the cluster head. In this paper, Adaptive-PSO algorithm is proposed which forms energy aware clusters by minimizing the cost of locating the cluster head. The main concern is of the suitability of the swarms by adjusting the learning parameters of PSO. Particle Swarm Optimization converges quickly at the beginning stage of the search but during the course of time, it becomes stable and may be trapped in local optima. In suggested network model swarms are given the intelligence of the spiders which makes them capable enough to avoid earlier convergence and also help them to escape from the local optima. Comparison analysis with traditional PSO shows that new algorithm considerably enhances the performance where multi-dimensional functions are taken into consideration.Keywords: Particle Swarm Optimization, adaptive – PSO, comparison between PSO and A-PSO, energy efficient clustering
Procedia PDF Downloads 2461605 Application of Single Subject Experimental Designs in Adapted Physical Activity Research: A Descriptive Analysis
Authors: Jiabei Zhang, Ying Qi
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The purpose of this study was to develop a descriptive profile of the adapted physical activity research using single subject experimental designs. All research articles using single subject experimental designs published in the journal of Adapted Physical Activity Quarterly from 1984 to 2013 were employed as the data source. Each of the articles was coded in a subcategory of seven categories: (a) the size of sample; (b) the age of participants; (c) the type of disabilities; (d) the type of data analysis; (e) the type of designs, (f) the independent variable, and (g) the dependent variable. Frequencies, percentages, and trend inspection were used to analyze the data and develop a profile. The profile developed characterizes a small portion of research articles used single subject designs, in which most researchers used a small sample size, recruited children as subjects, emphasized learning and behavior impairments, selected visual inspection with descriptive statistics, preferred a multiple baseline design, focused on effects of therapy, inclusion, and strategy, and measured desired behaviors more often, with a decreasing trend over years.Keywords: adapted physical activity research, single subject experimental designs, physical education, sport science
Procedia PDF Downloads 4671604 The Role of Personality Traits and Self-Efficacy in Shaping Teaching Styles: Insights from Indian Higher Education Faculty
Authors: Pritha Niraj Arya
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Education plays a crucial role in societal evolution by promoting economic expansion and creativity. The varied demands of students in India’s higher education setting signify inclusive and efficient teaching methods. The present study examined how teaching styles, self-efficacy, and personality traits interact among Indian higher education faculty members and how these factors collectively affect pedagogical practices. Specifically, the research explored differences in personality traits -agreeableness, conscientiousness, neuroticism, openness, and extraversion- between teachers with high and low self-efficacy and examined how these traits shape teaching strategies, either student-focused or teacher-focused. Data collection took place for three months, ensuring confidentiality and ethical compliance. 268 faculty members from Indian higher education institutions participated in this comparative study. An online questionnaire was used to gather data in which participants completed three well-established tools: the approaches to teaching inventory, which measures teaching styles; the teacher self-efficacy questionnaire, which measures self-efficacy levels; and the big five inventory, which measures personality traits. The results showed that while teachers with low self-efficacy had higher levels of neuroticism, those with high self-efficacy scored much higher on traits such as agreeableness, conscientiousness, openness, and extraversion. Despite the traditional belief that high self-efficacy is only associated with student-focused teaching, the findings suggest that teachers with high self-efficacy have cognitive flexibility, which enables them to skillfully use both teacher-focused and student-focused approaches to cater to a wide range of classroom needs. Teachers with low self-efficacy, on the other hand, are less flexible and adopt fewer different strategies in their teaching practice. The findings challenge simplistic associations between self-efficacy and teaching strategies, emphasising that high self-efficacy promotes adaptability rather than a fixed preference for specific teaching methods. This adaptability is crucial in India’s diverse educational settings, where teachers must balance standardised curricula with the varied learning needs of students. This study highlights the importance of integrating personality traits and self-efficacy into teacher training programs. By promoting self-efficacy and tailoring professional development to consider individual personality traits, institutions can enhance teachers’ teaching flexibility, hence improving student engagement and learning outcomes. These findings have practical implications for teacher education, suggesting that adopting cognitive flexibility among teachers can improve instructional quality and classroom dynamics. To gain a deeper knowledge of how personality traits and self-efficacy impact teaching practices over time, future research should investigate causal relationships using longitudinal studies. Examining external factors like institutional policies, availability of resources, and cultural settings will help to clarify the dynamics at play. Furthermore, this study emphasises the need to strike a balance between teacher-focused and student-focused approaches to provide a comprehensive education that covers both conceptual understanding and the delivery of key information. This study offers insights into how the Indian educational system is changing and how, to achieve global standards, effective teaching techniques are becoming increasingly important. This study promotes the larger objective of educational excellence by exploring the interaction of internal and external factors impacting teaching styles and providing practical policy and practice recommendations.Keywords: higher education, personality traits, self-efficacy, teaching styles
Procedia PDF Downloads 111603 Rejuvenating Cultural Energy: Forging Pathways to Alternative Ecological and Development Paradigms
Authors: Aldrin R. Logdat
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The insights and wisdom of the Alangan Mangyans offer valuable guidance for developing alternative ecological and development frameworks. Their reverence for the sacredness of the land, rooted in their traditional cosmology, guides their harmonious relationship with nature. Through their practice of swidden farming, ecosystem preservation takes precedence as they carefully manage agricultural activities and allow for forest regeneration. This approach aligns with natural processes, reflecting their profound understanding of the natural world. Similar to early advocates like Aldo Leopold, the emphasis is on shifting our perception of land from a commodity to a community. The indigenous wisdom of the Alangan Mangyans provides practical and sustainable approaches to preserving the interdependence of the biotic community and ecosystems. By integrating their cultural heritage, we can transcend the prevailing anthropocentric mindset and foster a meaningful and sustainable connection with nature. The revitalization of cultural energy and the embrace of alternative frameworks require learning from indigenous peoples like the Alangan Mangyans, where reverence for the land and the recognition of the interconnectedness between humanity and nature are prioritized. This paves the way for a future where harmony with nature and the well-being of the Earth community prevail.Keywords: Alangan Mangyans, ecological frameworks, sacredness of the land, cultural energy
Procedia PDF Downloads 1051602 Language Development in Rare Diseases: Angelman Syndrome vs Prader-Willi Syndrome
Authors: Sara Canas Pedrosa, Esther Moraleda SepuLveda
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Angelman Syndrome (AS) and Prader-Willi Syndrome (PWS) are considered rare genetic disorders that share the same chromosomal region: 15q11.2-q13. This is why both share some common characteristics, such as, delay in language development. However, there is still little research that specifically focuses on the linguistic profile in these populations. Therefore, the objective of this study was to know the characteristics of oral and written language that Angelman Syndrome and Prader-Willi Syndrome present from the point of view of parents. The sample consisted of 36 families (with children between 6 and 17 years old), of which 23 had children with AS and 13 had children with PWS. All of them answered the Language Assessment Scale of the standardized test CELF-4, Spanish Clinical Evaluation of Language Fundamentals-4 (Wiig, Secord & Semel, 2006). The scale is made up of 40 items that assesses the perception of parents in areas such as: difficulty of listening, speaking, reading and writing. The results indicate that the majority of parents manifest problems in almost all the sub-areas related to oral language and written language, taking into account that many do not achieve a literacy level, with similar results in comparison with both syndromes. These data support the importance of working on oral language delay and its relationship with the subsequent learning of literacy throughout its development.Keywords: Angelman Syndrome , development, language, Prader-Willi Syndrome
Procedia PDF Downloads 1391601 On Enabling Miner Self-Rescue with In-Mine Robots using Real-Time Object Detection with Thermal Images
Authors: Cyrus Addy, Venkata Sriram Siddhardh Nadendla, Kwame Awuah-Offei
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Surface robots in modern underground mine rescue operations suffer from several limitations in enabling a prompt self-rescue. Therefore, the possibility of designing and deploying in-mine robots to expedite miner self-rescue can have a transformative impact on miner safety. These in-mine robots for miner self-rescue can be envisioned to carry out diverse tasks such as object detection, autonomous navigation, and payload delivery. Specifically, this paper investigates the challenges in the design of object detection algorithms for in-mine robots using thermal images, especially to detect people in real-time. A total of 125 thermal images were collected in the Missouri S&T Experimental Mine with the help of student volunteers using the FLIR TG 297 infrared camera, which were pre-processed into training and validation datasets with 100 and 25 images, respectively. Three state-of-the-art, pre-trained real-time object detection models, namely YOLOv5, YOLO-FIRI, and YOLOv8, were considered and re-trained using transfer learning techniques on the training dataset. On the validation dataset, the re-trained YOLOv8 outperforms the re-trained versions of both YOLOv5, and YOLO-FIRI.Keywords: miner self-rescue, object detection, underground mine, YOLO
Procedia PDF Downloads 831600 Heavy Metal Contamination in Soils: Detection and Assessment Using Machine Learning Algorithms Based on Hyperspectral Images
Authors: Reem El Chakik
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The levels of heavy metals in agricultural lands in Lebanon have been witnessing a noticeable increase in the past few years, due to increased anthropogenic pollution sources. Heavy metals pose a serious threat to the environment for being non-biodegradable and persistent, accumulating thus to dangerous levels in the soil. Besides the traditional laboratory and chemical analysis methods, Hyperspectral Imaging (HSI) has proven its efficiency in the rapid detection of HMs contamination. In Lebanon, a continuous environmental monitoring, including the monitoring of levels of HMs in agricultural soils, is lacking. This is due in part to the high cost of analysis. Hence, this proposed research aims at defining the current national status of HMs contamination in agricultural soil, and to evaluate the effectiveness of using HSI in the detection of HM in contaminated agricultural fields. To achieve the two main objectives of this study, soil samples were collected from different areas throughout the country and were analyzed for HMs using Atomic Absorption Spectrophotometry (AAS). The results were compared to those obtained from the HSI technique that was applied using Hyspex SWIR-384 camera. The results showed that the Lebanese agricultural soils contain high contamination levels of Zn, and that the more clayey the soil is, the lower reflectance it has.Keywords: agricultural soils in Lebanon, atomic absorption spectrophotometer, hyperspectral imaging., heavy metals contamination
Procedia PDF Downloads 1121599 Discursively Examination of 8th Grade Students’ Geometric Thinking Levels
Authors: Ferdağ Çulhan, Emine Gaye Çontay
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Geometric thinking levels created by Van Hiele are used to determine students' progress in geometric thinking. Many studies have been conducted on geometric thinking levels and they have taken their place in teaching curricula over time. It is thought that geometric thinking levels, which have become so important in teaching, can be examined in depth. In order to make an in-depth analysis, it was decided that the most appropriate management was discourse analysis. In this study, the focus is on examining the geometric thinking levels of 8th grade students from a discursive point of view. Sfard (2008)'s "Commognitive" theory will be used to conduct discursive analysis. The "Global Van Hiele Questionnaire" created by Patkin (2014) and translated into Turkish for this research will be used in the research. The "Global Van Hiele Questionnaire" contains questions from the sub-learning domain of triangles and quadrilaterals, circles and geometric objects. It has a wider scope than many "Van Hiele Questionnaires". “Global Van Hiele Questionnaire” will be applied to 8th grade students. Then, the geometric thinking levels of the students will be determined and interviews will be held with two students from each of the 1st, 2nd and 3rd levels. The interviews will be recorded and the students' discourses will be examined. By evaluating the relations between the students' geometric thinking levels and their discourses, it will be examined how much their discourse reflects their level of thinking. In this way, it is thought that students' geometric thinking processes can be better understood.Keywords: mathematical discourses, commognitive framework, geometric thinking levels, van hiele
Procedia PDF Downloads 1291598 Parents' Attitude toward Compulsory Pre-School Education in Slovakia
Authors: Sona Lorencova, Beata Hornickova
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Compulsory pre-school education in Slovakia will be established by the Education Act for all five-year-old children from September 2021. The implementation of this law will change pre-school education in our country from optional to compulsory, and children will be able to complete this education either in institutional form school facilities or in the form of individual education at the request of the parent. The primary purpose of this change is that all children achieve pre-school education before entering primary school, thus eliminating differences between children before entering primary school. The benefits of introducing compulsory pre-school education are obvious to the professional public. However, as this fundamental change in children's education is perceived by parents who have a prime position in the upbringing and education of their children, research pays minimal attention. The aim of the study is to interpret the findings of quantitatively oriented research, which was focused on finding out the attitudes of parents to the planned introduction of compulsory preschool education in Slovakia. The data were obtained through questionnaires primarily intended for parents of preschool children. In the distributed questionnaire, the degree of agreement or disagreement with individual items could be expressed on a 5-point Likert scale. The results of the research present how perceived compulsory pre-school education is perceived by the parental public in Slovakia and what perspectives and limitations parents anticipate after its introduction.Keywords: compulsory pre-school education, education act, childs' learning and development, kindergarten, parents' perspectives
Procedia PDF Downloads 1611597 Automatic Music Score Recognition System Using Digital Image Processing
Authors: Yuan-Hsiang Chang, Zhong-Xian Peng, Li-Der Jeng
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Music has always been an integral part of human’s daily lives. But, for the most people, reading musical score and turning it into melody is not easy. This study aims to develop an Automatic music score recognition system using digital image processing, which can be used to read and analyze musical score images automatically. The technical approaches included: (1) staff region segmentation; (2) image preprocessing; (3) note recognition; and (4) accidental and rest recognition. Digital image processing techniques (e.g., horizontal /vertical projections, connected component labeling, morphological processing, template matching, etc.) were applied according to musical notes, accidents, and rests in staff notations. Preliminary results showed that our system could achieve detection and recognition rates of 96.3% and 91.7%, respectively. In conclusion, we presented an effective automated musical score recognition system that could be integrated in a system with a media player to play music/songs given input images of musical score. Ultimately, this system could also be incorporated in applications for mobile devices as a learning tool, such that a music player could learn to play music/songs.Keywords: connected component labeling, image processing, morphological processing, optical musical recognition
Procedia PDF Downloads 4191596 E-Consumers’ Attribute Non-Attendance Switching Behavior: Effect of Providing Information on Attributes
Authors: Leonard Maaya, Michel Meulders, Martina Vandebroek
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Discrete Choice Experiments (DCE) are used to investigate how product attributes affect decision-makers’ choices. In DCEs, choice situations consisting of several alternatives are presented from which choice-makers select the preferred alternative. Standard multinomial logit models based on random utility theory can be used to estimate the utilities for the attributes. The overarching principle in these models is that respondents understand and use all the attributes when making choices. However, studies suggest that respondents sometimes ignore some attributes (commonly referred to as Attribute Non-Attendance/ANA). The choice modeling literature presents ANA as a static process, i.e., respondents’ ANA behavior does not change throughout the experiment. However, respondents may ignore attributes due to changing factors like availability of information on attributes, learning/fatigue in experiments, etc. We develop a dynamic mixture latent Markov model to model changes in ANA when information on attributes is provided. The model is illustrated on e-consumers’ webshop choices. The results indicate that the dynamic ANA model describes the behavioral changes better than modeling the impact of information using changes in parameters. Further, we find that providing information on attributes leads to an increase in the attendance probabilities for the investigated attributes.Keywords: choice models, discrete choice experiments, dynamic models, e-commerce, statistical modeling
Procedia PDF Downloads 1401595 Active Islanding Detection Method Using Intelligent Controller
Authors: Kuang-Hsiung Tan, Chih-Chan Hu, Chien-Wu Lan, Shih-Sung Lin, Te-Jen Chang
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An active islanding detection method using disturbance signal injection with intelligent controller is proposed in this study. First, a DC\AC power inverter is emulated in the distributed generator (DG) system to implement the tracking control of active power, reactive power outputs and the islanding detection. The proposed active islanding detection method is based on injecting a disturbance signal into the power inverter system through the d-axis current which leads to a frequency deviation at the terminal of the RLC load when the utility power is disconnected. Moreover, in order to improve the transient and steady-state responses of the active power and reactive power outputs of the power inverter, and to further improve the performance of the islanding detection method, two probabilistic fuzzy neural networks (PFNN) are adopted to replace the traditional proportional-integral (PI) controllers for the tracking control and the islanding detection. Furthermore, the network structure and the online learning algorithm of the PFNN are introduced in detail. Finally, the feasibility and effectiveness of the tracking control and the proposed active islanding detection method are verified with experimental results.Keywords: distributed generators, probabilistic fuzzy neural network, islanding detection, non-detection zone
Procedia PDF Downloads 3891594 Causal-Comparative Study on the Benefit of Faculty Intervention on Student Academic Performance
Authors: Anne Davies
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Numerous students matriculating into university programs are surprised to find they are underprepared for the academic challenges of undergraduate studies. In many cases, they are unaware of their weaknesses as a scholar and unsure of how to develop their skills to succeed academically. Hypothesis: Early proactive intervention from faculty and staff members can mitigate academic issues and promote better student success outcomes. Method: After three weeks in their first semester, first-year students struggling-academically were recruited to attend individual weekly remediation sessions to develop effective learning practices. A causal-comparative methodology was used to evaluate their progress as compared to prior students with similar academic performances. Observations: Students welcomed the intervention from faculty and staff to remediate their individual needs. Those who received help in the third week had better outcomes than previous students with comparable performances who did not receive any interventional support. At the end of the semester, most students were back on track to complete their chosen degree programs. Conclusions: Early intervention by faculty and staff can improve the success of students in maintaining their status in their programs. In the future, this program will be incorporated into all first-year experience courses.Keywords: Academic outcomes, program retention, remediation, undergraduate students
Procedia PDF Downloads 1331593 Semantic Preference across Research Articles: A Corpus-Based Study of Adjectives in English
Authors: Valdênia Carvalho e Almeida
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The goal of the present study is to investigate the semantic preference of the most frequent adjectives in research articles through a corpus-based analysis of texts published in journals in Applied Linguistics (AL). The corpus used in this study contains texts published in the period from 2014 to 2018 in the three journals: Language Learning and Technology; English for Academic Purposes, and TESOL Quaterly, totaling more than one million words. A corpus-based analysis was carried out on the corpus to identify the most frequent adjectives that co-occurred in the three journals. By observing the concordance lines of the adjectives and analyzing the words they associated with, the semantic preferences of each adjective were determined. Later, the AL corpus analysis was compared to the investigation of the same adjectives in a corpus of Chemistry. This second part of the study aimed to identify possible differences and similarities between the two corpora in relation to the use of the adjectives in research articles from both areas. The results show that there are some preferences which seem to be closely related not only to the academic genre of the texts but also to the specific domain of the discipline and, to a lesser extent, to the context of research in each journal. This research illustrates a possible contribution of Corpus Linguistics to explore the concept of semantic preference in more detail, considering the complex nature of the phenomenon.Keywords: applied linguistics, corpus linguistics, chemistry, research article, semantic preference
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