Search results for: marketing program
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 4771

Search results for: marketing program

2911 Understanding the Impact of Resilience Training on Cognitive Performance in Military Personnel

Authors: Haji Mohammad Zulfan Farhi Bin Haji Sulaini, Mohammad Azeezudde’en Bin Mohd Ismaon

Abstract:

The demands placed on military athletes extend beyond physical prowess to encompass cognitive resilience in high-stress environments. This study investigates the effects of resilience training on the cognitive performance of military athletes, shedding light on the potential benefits and implications for optimizing their overall readiness. In a rapidly evolving global landscape, armed forces worldwide are recognizing the importance of cognitive resilience alongside physical fitness. The study employs a mixed-methods approach, incorporating quantitative cognitive assessments and qualitative data from military athletes undergoing resilience training programs. Cognitive performance is evaluated through a battery of tests, including measures of memory, attention, decision-making, and reaction time. The participants, drawn from various branches of the military, are divided into experimental and control groups. The experimental group undergoes a comprehensive resilience training program, while the control group receives traditional physical training without a specific focus on resilience. The initial findings indicate a substantial improvement in cognitive performance among military athletes who have undergone resilience training. These improvements are particularly evident in domains such as attention and decision-making. The experimental group demonstrated enhanced situational awareness, quicker problem-solving abilities, and increased adaptability in high-stress scenarios. These results suggest that resilience training not only bolsters mental toughness but also positively impacts cognitive skills critical to military operations. In addition to quantitative assessments, qualitative data is collected through interviews and surveys to gain insights into the subjective experiences of military athletes. Preliminary analysis of these narratives reveals that participants in the resilience training program report higher levels of self-confidence, emotional regulation, and an improved ability to manage stress. These psychological attributes contribute to their enhanced cognitive performance and overall readiness. Moreover, this study explores the potential long-term benefits of resilience training. By tracking participants over an extended period, we aim to assess the durability of cognitive improvements and their effects on overall mission success. Early results suggest that resilience training may serve as a protective factor against the detrimental effects of prolonged exposure to stressors, potentially reducing the risk of burnout and psychological trauma among military athletes. This research has significant implications for military organizations seeking to optimize the performance and well-being of their personnel. The findings suggest that integrating resilience training into the training regimen of military athletes can lead to a more resilient and cognitively capable force. This, in turn, may enhance mission success, reduce the risk of injuries, and improve the overall effectiveness of military operations. In conclusion, this study provides compelling evidence that resilience training positively impacts the cognitive performance of military athletes. The preliminary results indicate improvements in attention, decision-making, and adaptability, as well as increased psychological resilience. As the study progresses and incorporates long-term follow-ups, it is expected to provide valuable insights into the enduring effects of resilience training on the cognitive readiness of military athletes, contributing to the ongoing efforts to optimize military personnel's physical and mental capabilities in the face of ever-evolving challenges.

Keywords: military athletes, cognitive performance, resilience training, cognitive enhancement program

Procedia PDF Downloads 79
2910 Investigating Data Normalization Techniques in Swarm Intelligence Forecasting for Energy Commodity Spot Price

Authors: Yuhanis Yusof, Zuriani Mustaffa, Siti Sakira Kamaruddin

Abstract:

Data mining is a fundamental technique in identifying patterns from large data sets. The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical. Prior to that, data are consolidated so that the resulting mining process may be more efficient. This study investigates the effect of different data normalization techniques, which are Min-max, Z-score, and decimal scaling, on Swarm-based forecasting models. Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC). Forecasting models are later developed to predict the daily spot price of crude oil and gasoline. Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max. Nevertheless, the GWO is more superior that ABC as its model generates the highest accuracy for both crude oil and gasoline price. Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.

Keywords: artificial bee colony, data normalization, forecasting, Grey Wolf optimizer

Procedia PDF Downloads 475
2909 A Bridge to Success: Building Academic Identity in Foundation Programs

Authors: Krystyna Golkowska

Abstract:

Recent years have witnessed rapid growth of Transnational Education (TNE), especially in Asia and the Middle East. Exporting North American curricula into different socio-cultural contexts brings with it numerous advantages as well as challenges that have yet to be fully explored. This article focuses on Foundation programs, bridge programs between local high schools and tertiary level education on North-American branch campuses in the Persian Gulf. Based on a case study of Foundation students in Qatar, it explores ways of preparing TNE students for academic success by helping them to develop not only their skills and subject knowledge but also their academic identity.

Keywords: academic identity, foundation program, gulf, transnational education

Procedia PDF Downloads 314
2908 Industrial Engineering Higher Education in Saudi Arabia: Assessing the Current Status

Authors: Mohammed Alkahtani, Ahmed El-Sherbeeny

Abstract:

Industrial engineering is among engineering disciplines that have been introduced relatively recently to higher education in Saudi Arabian engineering colleges. The objective of this paper is to shed light on the history and status of IE higher education in different Saudi universities, including statistics comparing student enrollment and graduation in different Saudi public and private universities. This paper then proposes how industrial engineering programs could participate successfully in the Saudi Vision 2030. Finally, the authors show the results of a survey conducted on a number of IE students evaluating various academic and administrative aspects of the IE program at King Saud University.

Keywords: higher education, history, industrial engineering, Vision 2030

Procedia PDF Downloads 318
2907 Better Knowledge and Understanding of the Behavior of Masonry Buildings in Earthquake

Authors: A. R. Mirzaee, M. Khajehpour

Abstract:

Due to Simple Design, reasonable cost and easy implementation most people are reluctant to build buildings with masonry construction. Masonry Structures performance at earthquake are so limited. Of most earthquakes occurred in Iran and other countries, we can easily see that most of the damages are for masonry constructions and this is the evidence that we lack proper understanding of the performance of masonry buildings in earthquake. In this paper, according to field studies, conducted in past earthquakes. To evaluate the strengths and weaknesses points of the masonry constructions and also provide a solution to prevent such damage should be presented, and also program Examples of the correct bearing wall and tie-column design with the valid regulations (MSJC-08 (ASD)) will be explained.

Keywords: Masonry constructions, performance at earthquake, MSJC-08 (ASD), bearing wall, tie-column

Procedia PDF Downloads 430
2906 Ways Management of Foods Not Served to Consumers in Food Service Sector

Authors: Marzena Tomaszewska, Beata Bilska, Danuta Kolozyn-Krajewska

Abstract:

Food loss and food waste are a global problem of the modern economy. The research undertaken aimed to analyze how food is handled in catering establishments when it comes to food waste and to demonstrate main ways of management with foods/dishes not served to consumers. A survey study was conducted from January to June 2019. The selection of catering establishments participating in the study was deliberate. The study included establishments located only in Mazowieckie Voivodeship (Poland). 42 completed questionnaires were collected. In some questions, answers were based on a 5-point scale of 1 to 5 (from 'always'/'every day' to 'never'). The survey also included closed questions with a suggested cafeteria of answers. The respondents stated that in their workplaces, dishes served cold and hot ready meals are discarded every day or almost every day (23.7% and 20.5% of answers respectively). A procedure most frequently used for dealing with dishes not served to consumers on a given day is their storage at a cool temperature until the following day. In the research, 1/5 of respondents admitted that consumers 'always' or 'usually' leave uneaten meals on their plates, and over 41% 'sometimes' do so. It was found additionally that food not used in food service sector is most often thrown into a public container for rubbish. Most often thrown into the public container (with communal trash) were: expired products (80.0%), plate waste (80.0%), and inedible products (fruit and vegetable peels, egg shells) (77.5%). Most frequently into the container dedicated only for food waste were thrown out used deep-frying oil (62.5%). 10% of respondents indicated that inedible products in their workplaces is allocate for animal feeds. Food waste in the food service sector still remains an insufficiently studied issue, as owners of these objects are often unwilling to disclose data pertaining to the subject. Incorrect ways of management with foods not served to consumers were observed. There is the need to develop the educational activities for employees and management in the context of food waste management in the food service sector. This publication has been developed under the contract with the National Center for Research and Development No Gospostrateg1/385753/1/NCBR/2018 for carrying out and funding of a project implemented as part of the 'The social and economic development of Poland in the conditions of globalizing markets - GOSPOSTRATEG' program entitled 'Developing a system for monitoring wasted food and an effective program to rationalize losses and reduce food wastage' (acronym PROM).

Keywords: food waste, inedible products, plate waste, used deep-frying oil

Procedia PDF Downloads 119
2905 Frequent Itemset Mining Using Rough-Sets

Authors: Usman Qamar, Younus Javed

Abstract:

Frequent pattern mining is the process of finding a pattern (a set of items, subsequences, substructures, etc.) that occurs frequently in a data set. It was proposed in the context of frequent itemsets and association rule mining. Frequent pattern mining is used to find inherent regularities in data. What products were often purchased together? Its applications include basket data analysis, cross-marketing, catalog design, sale campaign analysis, Web log (click stream) analysis, and DNA sequence analysis. However, one of the bottlenecks of frequent itemset mining is that as the data increase the amount of time and resources required to mining the data increases at an exponential rate. In this investigation a new algorithm is proposed which can be uses as a pre-processor for frequent itemset mining. FASTER (FeAture SelecTion using Entropy and Rough sets) is a hybrid pre-processor algorithm which utilizes entropy and rough-sets to carry out record reduction and feature (attribute) selection respectively. FASTER for frequent itemset mining can produce a speed up of 3.1 times when compared to original algorithm while maintaining an accuracy of 71%.

Keywords: rough-sets, classification, feature selection, entropy, outliers, frequent itemset mining

Procedia PDF Downloads 435
2904 Educational Leadership for Social Justice: Meeting UK Muslim Expectation

Authors: Mochammad Thalut

Abstract:

This essay discusses how educational leadership response the Muslims pupils’ problems and their expectation about education in the UK. As we know, the Muslims community in the country is increasing. However, the debate about educational leadership is still limited to the separation between religion and academic by westerns approach. It is found that there are four major problems of Muslims pupils that need to solve by the educational leader to provide social justice in education. Leader-teacher as an Islamic concept of the educational leader is an alternative approach that can be used by the educational leader to overcome the problems. In the end, it is strongly recommended to bring this issue to the leadership development program in the UK to give all aspiring heads understanding about Muslims expectation about education.

Keywords: Muslim, education, leadership, identity

Procedia PDF Downloads 253
2903 Consumer Market of Agricultural Products and Agricultural Policy in Georgia

Authors: G. Erkomaishvili, M. Kobalava, T. Lazariashvili, M. Saghareishvili

Abstract:

The article discusses the consumer market of agricultural products and agricultural policy in Georgia. It is noted that development of the strategic areas of the agricultural sector needs a special support. These strategic areas should create the country's major export potential. It is important to develop strategies to access to the international markets, form extensive marketing network etc., which will become the basis for the promotion and revenue growth of the country. The Georgian agricultural sector, with the right state policy and support, can achieve success and gain access to the world market with competitive agricultural products. The paper discusses the current condition of agriculture, export and import of agricultural products and agricultural policy in Georgia. The conducted research concludes the information that there is an increasing demand on the green goods in the world market. Natural and climatic conditions of Georgia give a serious possibility of implementing it. The research presents an agricultural development strategy in Georgia and the findings and based on them recommendations are proposed.

Keywords: agriculture, export-import of agricultural products, agricultural cooperative society, agricultural policy, agricultural insurance

Procedia PDF Downloads 317
2902 Augmented Reality in Advertising and Brand Communication: An Experimental Study

Authors: O. Mauroner, L. Le, S. Best

Abstract:

Digital technologies offer many opportunities in the design and implementation of brand communication and advertising. Augmented reality (AR) is an innovative technology in marketing communication that focuses on the fact that virtual interaction with a product ad offers additional value to consumers. AR enables consumers to obtain (almost) real product experiences by the way of virtual information even before the purchase of a certain product. Aim of AR applications in relation with advertising is in-depth examination of product characteristics to enhance product knowledge as well as brand knowledge. Interactive design of advertising provides observers with an intense examination of a specific advertising message and therefore leads to better brand knowledge. The elaboration likelihood model and the central route to persuasion strongly support this argumentation. Nevertheless, AR in brand communication is still in an initial stage and therefore scientific findings about the impact of AR on information processing and brand attitude are rare. The aim of this paper is to empirically investigate the potential of AR applications in combination with traditional print advertising. To that effect an experimental design with different levels of interactivity is built to measure the impact of interactivity of an ad on different variables o advertising effectiveness.

Keywords: advertising effectiveness, augmented reality, brand communication, brand recall

Procedia PDF Downloads 301
2901 Encouraging Skills and Entrepreneurial Spirit to Improve Employability of Young Artists

Authors: Olga Lasaga, Carmen Parra

Abstract:

Within the EU 'New Skills for New Jobs' initiative, the art and music sector is considered one of the most vulnerable. Its graduates are faced with the threat of the dole or of not finding work in the sector in which they trained. In this regard, an increasing number of students are graduating every year from European Conservatories and Fine Arts Centres, while the number of job opportunities in this sector has stagnated or decreased. Moreover, the traditional teaching of these institutes does not favour the acquisition of basic skills, such as team building, entrepreneurship, marketing, website design and the design of events, which are among the most important facets of project management and are precisely those aspects that are often most related to the improvement of employability in the art world. To remedy this situation, the results of the European Erasmus+ OMEGA project (Opening More Employment Gates for Art and Music Students) are presented. The OMEGA project aims to increase the employability of art and music students by equipping them with additional skills needed for the search for work. As a result of this project, a manual has been created, a pilot course has been designed and taught, and a comparative study has been conducted on the state of play of the participating countries.

Keywords: artists, employability, entrepreneurship, musicians, skills

Procedia PDF Downloads 241
2900 Application of Machine Learning Techniques in Forest Cover-Type Prediction

Authors: Saba Ebrahimi, Hedieh Ashrafi

Abstract:

Predicting the cover type of forests is a challenge for natural resource managers. In this project, we aim to perform a comprehensive comparative study of two well-known classification methods, support vector machine (SVM) and decision tree (DT). The comparison is first performed among different types of each classifier, and then the best of each classifier will be compared by considering different evaluation metrics. The effect of boosting and bagging for decision trees is also explored. Furthermore, the effect of principal component analysis (PCA) and feature selection is also investigated. During the project, the forest cover-type dataset from the remote sensing and GIS program is used in all computations.

Keywords: classification methods, support vector machine, decision tree, forest cover-type dataset

Procedia PDF Downloads 215
2899 Developement of a New Wearable Device for Automatic Guidance Service

Authors: Dawei Cai

Abstract:

In this paper, we present a new wearable device that provide an automatic guidance servie for visitors. By combining the position information from NFC and the orientation information from a 6 axis acceleration and terrestrial magnetism sensor, the head's direction can be calculated. We developed an algorithm to calculate the device orientation based on the data from acceleration and terrestrial magnetism sensor. If visitors want to know some explanation about an exhibit in front of him, what he has to do is just lift up his mobile device. The identification program will automatically identify the status based on the information from NFC and MEMS, and start playing explanation content for him. This service may be convenient for old people or disables or children.

Keywords: wearable device, ubiquitous computing, guide sysem, MEMS sensor, NFC

Procedia PDF Downloads 423
2898 Speed Control of Hybrid Stepper Motor by Using Adaptive Neuro-Fuzzy Controller

Authors: Talha Ali Khan

Abstract:

This paper presents an adaptive neuro-fuzzy interference system (ANFIS), which is applied to a hybrid stepper motor (HSM) to regulate its speed. The dynamic response of the HSM with the ANFIS controller is studied during the starting process and under different load disturbance. The effectiveness of the proposed controller is compared with that of the conventional PI controller. The proposed method solves the problem of nonlinearities and load changes of the HSM drives. The proposed controller ensures fast and precise dynamic response with an excellent steady state performance. Matlab/Simulink program is used for this dynamic simulation study.

Keywords: stepper motor, hybrid, ANFIS, speed control

Procedia PDF Downloads 550
2897 Adoption of Inorganic Insecticides and Resistant Varieties among Cowpea Producers in Mubi Zone, Nigeria

Authors: Sabo Elizabeth

Abstract:

Cowpea production is presently mainly done with inorganic insecticides, but the growing environmental problems linked with their use and the rising costs of the chemicals are stimulating all categories of stakeholders towards the adoption of less impacting practices. 611 respondents were interviewed between 2008 and 2009. Respondents are young adults and are fairly educated. Awareness is high about insecticide use, but is low for bio-pesticides and resistant varieties. Adoption of inorganic insecticides is related to age, educational level, and contacts with dealers. Low adoption rate for resistant varieties is associated with inadequate information and poor extension service. To adopt IPM techniques with limited health hazards and compatible with the environment, a properly designed extension program is consequently needed.

Keywords: Vigna unguiculata, IPM, bio-pesticides, resistant varieties, extension

Procedia PDF Downloads 328
2896 Exergy Analysis of Vapour Compression Refrigeration System Using R507A, R134a, R114, R22 and R717

Authors: Ali Dinarveis

Abstract:

This paper compares the energy and exergy efficiency of a vapour compression refrigeration system using refrigerants of different groups. In this study, five different refrigerants including R507A, R134a, R114, R22 and R717 have been studied. EES Program is used to solve the thermodynamic equations. The results of this analysis are shown graphically. Based on the results, energy and exergy efficiencies for R717 are higher than the other refrigerants. Also, the energy and exergy efficiencies will be decreased with increasing the condensing temperature and decreasing the evaporating temperature.

Keywords: Energy, Exergy, Refrigeration, thermodynamic, vapour

Procedia PDF Downloads 147
2895 Modelisation of a Full-Scale Closed Cement Grinding

Authors: D. Touil, L. Ouadah

Abstract:

An industrial model of cement grinding circuit is proposed on the basis of sampling surveys undertaken in the Meftah cement plant in Algiers, Algeria. The ball mill is described by a series of equal fully mixed stages that incorporates the effect of air sweeping. The kinetic parameters of this material in the energy normalized form obtained using the data of batch dry ball milling are taken into account in developing the present scale-up procedure. The dynamic separator is represented by the air classifier selectivity equation corrected by empirical factors. The model is incorporated in computer program that predict full size distributions and mass flow rates for all streams in a circuit under a particular set of operating conditions.

Keywords: grinding circuit, clinker, cement, modeling, population balance, energy

Procedia PDF Downloads 524
2894 Enhancing Nursing Students’ Communication Using TeamSTEPPS to Improve Patient Safety

Authors: Stefanie Santorsola, Natasha Frank

Abstract:

Improving healthcare safety necessitates examining current trends and beliefs about safety and devising strategies to improve. Errors in healthcare continue to increase and be experienced by patients, which is preventable and directly correlated to a breakdown in healthcare communication. TeamSTEPPS is an evidence-based process designed to improve the quality and safety of healthcare by improving communication and team processes. Communication is at the core of effective team collaboration and is vital for patient safety. TeamSTEPPS offers insights and strategies for improving communication and teamwork and reducing preventable errors to create a safer healthcare environment for patients. The academic, clinical, and educational environment for nursing students is vital in preparing them for professional practice by providing them with foundational knowledge and abilities. This environment provides them with a prime opportunity to learn about errors and the importance of effective communication to enhance patient safety, as nursing students are often unprepared to deal with errors. Proactively introducing and discussing errors through a supportive culture during the nursing student’s academic beginnings has the potential to carry key concepts into practice to improve and enhance patient safety. TeamSTEPPS has been used globally and has collectively positively impacted improvements in patient safety and teamwork. A workshop study was introduced in winter 2023 of registered practical nurses (RPN) students bridging to the baccalaureate nursing program; the majority of the RPNs in the bridging program were actively employed in a variety of healthcare facilities during the semester. The workshop study did receive academic institution ethics board approval, and participants signed a consent form prior to participating in the study. The premise of the workshop was to introduce TeamSTEPPS and a variety of strategies to these students and have students keep a reflective journal to incorporate the presented communication strategies in their practicum setting and keep a reflective journal on the effect and outcomes of the strategies in the healthcare setting. Findings from the workshop study supported the objective of the project, resulting in students verbalizing notable improvements in team functioning in the healthcare environment resulting from the incorporation of enhanced communication strategies from TeamSTEPPS that they were introduced to in the workshop study. Implication for educational institutions is the potential of further advancing the safety literacy and abilities of nursing students in preparing them for entering the workforce and improving safety for patients.

Keywords: teamstepps, education, patient safety, communication

Procedia PDF Downloads 58
2893 Internet-Delivered Cognitive Behaviour Therapy for Depression Comorbid with Diabetes: Preliminary Findings

Authors: Lisa Robins, Jill Newby, Kay Wilhelm, Therese Fletcher, Jessica Smith, Trevor Ma, Adam Finch, Lesley Campbell, Jerry Greenfield, Gavin Andrews

Abstract:

Background:Depression treatment for people living with depression comorbid with diabetes is of critical importance for improving quality of life and diabetes self-management, however depression remains under-recognised and under-treated in this population. Cost—effective and accessible forms of depression treatment that can enhance the delivery of mental health services in routine diabetes care are needed. Provision of internet-delivered Cognitive Behaviour Therapy (iCBT) provides a promising way to deliver effective depression treatment to people with diabetes. Aims:To explore the outcomes of the clinician assisted iCBT program for people with comorbid Major Depressive Disorder (MDD) and diabetes compared to those who remain under usual care. The main hypotheses are that: (1) Participants in the treatment group would show a significant improvement on disorder specific measures (Patient Health Questionnaire; PHQ-9) relative to those in the control group; (2) Participants in the treatment group will show a decrease in diabetes-related distress relative to those in the control group. This study will also examine: (1) the effect of iCBT for MDD on disability (as measured by the SF-12 and SDS), general distress (as measured by the K10), (2) the feasibility of these treatments in terms of acceptability to diabetes patients and practicality for clinicians (as measured by the Credibility/Expectancy Questionnaire; CEQ). We hypothesise that associated disability, and general distress will reduce, and that patients with comorbid MDD and diabetes will rate the program as acceptable. Method:Recruit 100 people with MDD comorbid with diabetes (either Type 1 or Type 2), and randomly allocate to: iCBT (over 10 weeks) or treatment as usual (TAU) for 10 weeks, then iCBT. Measure pre- and post-intervention MDD severity, anxiety, diabetes-related distress, distress, disability, HbA1c, lifestyle, adherence, satisfaction with clinicians input and the treatment. Results:Preliminary results comparing MDD symptom levels, anxiety, diabetes-specific distress, distress, disability, HbA1c levels, and lifestyle factors from baseline to conclusion of treatment will be presented, as well as data on adherence to the lessons, homework downloads, satisfaction with the clinician's input and satisfaction with the mode of treatment generally.

Keywords: cognitive behaviour therapy, depression, diabetes, internet

Procedia PDF Downloads 489
2892 Population Dynamics of Auchenoglanis Occidentalis From Dadin-Kowa Dam, Gombe State, Nigeria

Authors: Nazeef, Suleiman, Umar, Danladi Muhammad, Ja'afar Ali, Zaliha Adamu Umar

Abstract:

The population dynamics of Auchenoglanis occidentalis from the Dadin-Kowa reservoir were studied. Population dynamic parameters such as growth, mortality and recruitment patterns were analyzed using length frequency data over a 12-month period employing FiSAT II software. Findings revealed that LWR (b - constant) = 2.88, K = 0.72 -yr., L∞ = 40.91 cm and Tmax = 3.57 years and Ɵ’ = 3.14. Mortality indices revealed that natural mortality (M = 1.39), fishing mortality (F = 0.22) and exploitation ratio (E = 0.14), Lc/L∞ = 0.48, Emax = 0.64, while Lopt = 26.4 cm. Uni-modal recruitment peak observed with Lm = 27.3 cm. A restocking program is suitable to ensure its continuous existence as it seems to have a low population.

Keywords: fish population dynamics, auchenoglanis occidentalis, FISAT II, natural mortality

Procedia PDF Downloads 44
2891 Exploring Teachers’ Beliefs about Diagnostic Language Assessment Practices in a Large-Scale Assessment Program

Authors: Oluwaseun Ijiwade, Chris Davison, Kelvin Gregory

Abstract:

In Australia, like other parts of the world, the debate on how to enhance teachers using assessment data to inform teaching and learning of English as an Additional Language (EAL, Australia) or English as a Foreign Language (EFL, United States) have occupied the centre of academic scholarship. Traditionally, this approach was conceptualised as ‘Formative Assessment’ and, in recent times, ‘Assessment for Learning (AfL)’. The central problem is that teacher-made tests are limited in providing data that can inform teaching and learning due to variability of classroom assessments, which are hindered by teachers’ characteristics and assessment literacy. To address this concern, scholars in language education and testing have proposed a uniformed large-scale computer-based assessment program to meet the needs of teachers and promote AfL in language education. In Australia, for instance, the Victoria state government commissioned a large-scale project called 'Tools to Enhance Assessment Literacy (TEAL) for Teachers of English as an additional language'. As part of the TEAL project, a tool called ‘Reading and Vocabulary assessment for English as an Additional Language (RVEAL)’, as a diagnostic language assessment (DLA), was developed by language experts at the University of New South Wales for teachers in Victorian schools to guide EAL pedagogy in the classroom. Therefore, this study aims to provide qualitative evidence for understanding beliefs about the diagnostic language assessment (DLA) among EAL teachers in primary and secondary schools in Victoria, Australia. To realize this goal, this study raises the following questions: (a) How do teachers use large-scale assessment data for diagnostic purposes? (b) What skills do language teachers think are necessary for using assessment data for instruction in the classroom? and (c) What factors, if any, contribute to teachers’ beliefs about diagnostic assessment in a large-scale assessment? Semi-structured interview method was used to collect data from at least 15 professional teachers who were selected through a purposeful sampling. The findings from the resulting data analysis (thematic analysis) provide an understanding of teachers’ beliefs about DLA in a classroom context and identify how these beliefs are crystallised in language teachers. The discussion shows how the findings can be used to inform professional development processes for language teachers as well as informing important factor of teacher cognition in the pedagogic processes of language assessment. This, hopefully, will help test developers and testing organisations to align the outcome of this study with their test development processes to design assessment that can enhance AfL in language education.

Keywords: beliefs, diagnostic language assessment, English as an additional language, teacher cognition

Procedia PDF Downloads 198
2890 Investigating Customer Engagement through the Prism of Congruity Theory

Authors: Jamid Ul Islam, Zillur Rahman

Abstract:

The impulse for customer engagement research in online brand communities (OBCs) is largely acknowledged in the literature. Applying congruity theory, this study proposes a model of customer engagement by examining how two congruities viz. self-brand image congruity and value congruity influence customers’ engagement in online brand communities. The consequent effect of customer engagement on brand loyalty is also studied. This study collected data through a questionnaire survey of 395 students of a higher educational institute in India, who were active on Facebook and followed a brand community (at least one). The data were analyzed using structure equation modelling. The results revealed that both the types of congruity i.e., self-brand image congruity and value congruity significantly affect customer engagement. A positive effect of customer engagement on brand loyalty was also affirmed by the results. This study integrates and broadens extant explanations of different congruity effects on consumer behavior-an area that has received little attention. This study is expected to add new trends to engage customers in online brand communities and offer realistic insights to the domain of social media marketing.

Keywords: congruity theory, customer engagement, Facebook, online brand communities

Procedia PDF Downloads 347
2889 The Student's Satisfaction toward Web Based Instruction on Puppet Show

Authors: Piyanut Suchit

Abstract:

The purposes of this study was to investigate students’ satisfaction learning with the web based instruction on the puppet show. The population of this study includes 53 students in the Program of Library and Information Sciences who registered in the subject of Puppet for Assisting Learning Development in semester 2/2011, Suansunandha Rajabhat University, Bangkok, Thailand. The research instruments consist of web based instruction on the puppet show, and questionnaires for students’ satisfaction. The research statistics includes arithmetic mean, and standard deviation. The results revealed that the students reported very high satisfaction with mean = 4.63, SD = 0.52, on the web based instruction.

Keywords: puppet show, web based instruction, satisfaction, Suansunandha Rajabhat University

Procedia PDF Downloads 385
2888 A Note on the Fractal Dimension of Mandelbrot Set and Julia Sets in Misiurewicz Points

Authors: O. Boussoufi, K. Lamrini Uahabi, M. Atounti

Abstract:

The main purpose of this paper is to calculate the fractal dimension of some Julia Sets and Mandelbrot Set in the Misiurewicz Points. Using Matlab to generate the Julia Sets images that match the Misiurewicz points and using a Fractal software, we were able to find different measures that characterize those fractals in textures and other features. We are actually focusing on fractal dimension and the error calculated by the software. When executing the given equation of regression or the log-log slope of image a Box Counting method is applied to the entire image, and chosen settings are available in a FracLAc Program. Finally, a comparison is done for each image corresponding to the area (boundary) where Misiurewicz Point is located.

Keywords: box counting, FracLac, fractal dimension, Julia Sets, Mandelbrot Set, Misiurewicz Points

Procedia PDF Downloads 214
2887 Remote Wireless Communications Lab in Real Time

Authors: El Miloudi Djelloul

Abstract:

Technology nowadays enables the remote access to laboratory equipment and instruments via Internet. This is especially useful in engineering education, where students can conduct laboratory experiment remotely. Such remote laboratory access can enable student to use expensive laboratory equipment, which is not usually available to students. In this paper, we present a method of creating a Web-based Remote Laboratory Experimentation in the master degree course “Wireless Communications Systems” which is part of “ICS (Information and Communication Systems)” and “Investment Management in Telecommunications” curriculums. This is done within the RIPLECS Project and the NI2011 FF005 Research Project “Implementation of Project-Based Learning in an Interdisciplinary Master Program”.

Keywords: remote access, remote laboratory, wireless telecommunications, external antenna-switching controller board (EASCB)

Procedia PDF Downloads 513
2886 Forage Production Area Development in Bangkok Metropolitan Region

Authors: Thipayasothorn Pastraporn, Phonpakdee Rachadakorn, Ponpo Sopar

Abstract:

Forage production area development in Bangkok Metropolitan Region with an Agriculture in the city concept. Food chain of city man reduced distance of the food, so the food chain was a good attempt to connect the city’s product with the changes in each area of city. This paper purposed (I) to study the problems of using forage production area development in Bangkok Metropolitan Region, (II) to propose guidelines of forage production area development in Bangkok Metropolitan Region. We collected the data by questionnaire which we got from the agriculture, marketing and city plan sector in Bangkok Metropolitan Region. We analyzed the questionnaire in the way of relationship and guidelines of forage production area development in Bangkok Metropolitan Region. Results from the analyses are that the role of forage area productive plan in Bangkok Metropolitan Region is important to the cities for adapting in changing way of the food transmission. It also enhanced benefits using from cities fringe. Moreover, it managed watercourse and reduced energy consumption in order to sustainable distribute the food into the cities. .

Keywords: city plan, forage production area, urban development, Bangkok Metropolitan Region

Procedia PDF Downloads 351
2885 Determination of Small Shear Modulus of Clayey Sand Using Bender Element Test

Authors: R. Sadeghzadegan, S. A. Naeini, A. Mirzaii

Abstract:

In this article, the results of a series of carefully conducted laboratory test program were represented to determine the small strain shear modulus of sand mixed with a range of kaolinite including zero to 30%. This was experimentally achieved using a triaxial cell equipped with bender element. Results indicate that small shear modulus tends to increase, while clay content decreases and effective confining pressure increases. The exponent of stress in the power model regression analysis was not sensitive to the amount of clay content for all sand clay mixtures, while coefficient A was directly affected by change in clay content.

Keywords: small shear modulus, bender element test, plastic fines, sand

Procedia PDF Downloads 469
2884 Predictability of Supply Chain in Indian Automobile Division

Authors: Dharamvir Mangal

Abstract:

Supply chain management has increasingly become an inevitable challenge to most companies to continuously survive and prosper in the global chain-based competitive environment. The current challenges of the Indian automotive world, their implications on supply chain are summarized and analyzed in this paper. In this competitive era of ‘LPG’ i.e. Liberalization, Privatization and Globalization, modern marketing systems, introduction of products with short life cycles, and the discriminating expectations of customers have enforced business enterprises to invest in and focus attention on their Supply Chains (SCs) in order to meet out the level of customer’s satisfaction and to survive in the competitive market. In fact, many of trends in the auto industry are reinforcing the need to redefine supply chain strategies layouts, and operations etc. Many manufacturing operations are designed to maximize throughput and lower costs with modest considerations for the crash on inventory levels and distribution capabilities. To improve profitability and efficiency, automotive players are seeking ways to achieve operational excellence, reduce operating cost and enhance customer service through efficient supply chain management.

Keywords: automotive industry, supply chain, challenges, market potential

Procedia PDF Downloads 329
2883 DFT Study of Hoogsteen-Type Base Pairs

Authors: N. Amraoui, D. Hammoutene

Abstract:

We have performed a theoretical study using dispersion-corrected Density Functional Methods to evaluate a variety of artificial nucleobases as candidates for metal-mediated Hoogsteen-type base pairs. We focus on A-M-T Hoogsteen-type base pair with M=Co(II), Ru(I), Ni(I). All calculations are performed using (ADF 09) program. Metal-mediated Hoogsteen-type base pairs are studied as drug candidates, their geometry optimizations are performed at ZORA/TZ2P/BLYP-D level. The molecular geometries and different energies as total energies, coordination energies, Pauli interactions, orbital interactions and electrostatic energies are determined.

Keywords: chemistry, biology, density functional method, orbital interactions

Procedia PDF Downloads 283
2882 'Internationalization': Discussing the Ethics of the Global North Developing Social Work Courses for the Global South

Authors: Mary Goitom, Maria Liegghio

Abstract:

In this paper, we critically explore the ethics of Schools of Social Work from the global North developing courses for programs within the Global South. In it, we discuss our experiences of partnering with the University of Guyana to develop and teach graduate courses in a newly formed Masters of Social Work program. Under the umbrella of our university’s goal for 'internationalization', that is, developing and establishing global and local collaborations for teaching, research and scholarship, we bring into question whether a new form of academic imperialism is occurring under the guise of global citizenship and social justice.

Keywords: academic imperialism, global north and south, internationalization, social work education

Procedia PDF Downloads 340