16 results
Search Results
2. Optimal operation of electric–freshwater energy system considering load regulation strategy of individual hydrogen electrolyzer.
- Author
-
Wang, He, Zhou, Bowen, Li, Fabin, Ma, Xingming, Gao, Yujie, and Yang, Hao
- Subjects
WATER supply ,CLEAN energy ,RENEWABLE energy sources ,ENERGY storage ,OPERATING costs - Abstract
In view of the existing literature, only the optimization operation of hydrogen energy–wind/light new energy is considered, and the research problems such as comprehensive utilization of water resources and load control strategies are ignored. Based on the analysis of load characteristics of offshore wind power, this paper has established an optimal operation model of power‐fresh water energy system based on "wind‐hydrogen‐water‐electricity" interaction. Meanwhile, an electrolytic hydrogen individual load control strategy is proposed to match wind power fluctuations from the perspective of internal load regulation of electrolytic hydrogen system. From the economic characteristics, operation characteristics, accommodation situation and other simulation analysis, it can reduce the total operating cost by about 3.1%, improve the utilization rate of electrolytic cell capacity, and meet the water demand of coastal users. It shows that the individual control strategy and optimal operation model have advantages, which is of great significance for realizing low‐carbon, safe, and economical operation of power grid in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. The mediating role of higher-order thinking skill in the relationship between mathematics strength and achievement in electrical and electronic engineering education.
- Author
-
Theodore Oduro-Okyireh, Budi Mulyanti, Dedi Rohendi, George Oduro-Okyireh, Alice Constance Mensah, and Kennedy Acheam pong
- Subjects
CRITICAL thinking ,MATHEMATICS ,ENGINEERING education - Abstract
Purpose: The paper aims to examine the casual role of higher-order thinking skills as a mediator in the relationship between students' strength in mathematics and achievement in electrical and electronic engineering education. Design/Methodology/Approach: The study adopted a quantitative research design where random cluster sampling was used to select a total of 488 final-year students from four technical universities in Ghana. Mathematics achievement tests were used to gather data on students' higher-order thinking skills and competence in five areas of mathematics. Also, their examination results were collected from their respective universities. Mediation analysis was done using AMOS 26. Finding: The study revealed that the positive effect of students' strengths in the five selected mathematics topics on their performance in electrical and electronic engineering education is mediated by their higher-order thinking skills. Conclusion: The research concludes that there is a partial mediation in the relationship between students' strength in mathematics and achievement in electrical and electronic engineering education by higher-order thinking skills. Research Limitations: It is recommended that further researchers carry out similar research with more mathematics indicators to explain more variations in achievement in electrical and electronic engineering education. Practical Implication: Engineering mathematics curriculum developers should stress the need for mathematics, especially algebra, for the development of higher-order thinking skills to facilitate problem-solving in electrical and electronic engineering education and practice. Contribution to Literature: This study highlights the relationship between the understanding of the concepts of specific mathematics topics, higher-order thinking skills, and achievement in electrical and electronic engineering education. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. Visualization of JOV abstracts
- Author
-
Tomoya Uetsuji, Kazutaka Baba, Miki Kioka, Yosuke Onoue, and Koji Koyamada
- Subjects
0106 biological sciences ,Computer science ,media_common.quotation_subject ,Text visualization /Machine learning ,010603 evolutionary biology ,01 natural sciences ,Information visualization ,Move analysis ,Text visualization ,Academic writing ,Machine learning ,Rhetorical question ,Regular Paper ,Quality (business) ,Electrical and Electronic Engineering ,media_common ,060201 languages & linguistics ,business.industry ,06 humanities and the arts ,Condensed Matter Physics ,Multiple-criteria decision analysis ,Data science ,Visualization ,Review crisis ,Transparency (graphic) ,0602 languages and literature ,business - Abstract
Since the abstract can be found at the beginning of most scientific articles and is an essential part of the article, several attempts have been made to explore the rhetorical moves of abstracts in various research fields. These studies dealt only with accepted articles since they can be easily accessed. Although the findings of such works have some pedagogical implications for academic writing courses for young researchers who are relatively new to their fields, they do not contribute enough to the transparency of the peer review processes conducted in research fields. Increasing transparency requires considering rejected articles since they help to clarify the decision criteria in the peer review. Based on 591 abstracts of accepted or rejected articles submitted to Journal of Visualization (JOV), the present study aimed at exploring the differences between the accepted and rejected abstracts. The results show that there are significant differences in the structures of the abstracts. Since we also successfully develop a classification model for the decision using a machine-learning technique, the findings of this study have some implications for developing a semi-automatic reviewing system that can reduce the reviewer’s burden and increase the review quality. Graphical abstract
- Published
- 2017
5. Joint delay and energy aware dragonfly optimization‐based uplink resource allocation scheme for LTE‐A networks in a cross‐layer environment.
- Author
-
Moses, Leeban, Sambantham, Perarasi, Faheem, Muhammad, Ali K, Shoukath, and Khan, Arfat Ahmad
- Subjects
RESOURCE allocation ,5G networks ,COMPUTER network traffic ,DATA transmission systems ,ENERGY consumption ,ELECTROMAGNETIC theory - Abstract
The exponential growth in data traffic from smart devices has led to a need for highly capable wireless networks with faster data transmission rates and improved spectral efficiency. Allocating resources efficiently in a 5G communication system with a huge number of machine type communication (MTC) devices is essential to ensure optimal performance and meet the diverse requirements of different applications. The LTE‐A network offers high‐speed mobile data services and caters to MTC devices and has relatively low data service requirements compared to human‐to‐human (H2H) communications. LTE‐A networks require advanced scheduling schemes to manage the limited spectrum and ensure efficient transmissions. This necessitates effective resource allocation schemes to minimize interference between cells in future networks. To address this issue, a joint delay and energy aware Levy flight Brownian movement‐based dragonfly optimization (DELFBDO)‐based uplink resource allocation scheme for LTE‐A Networks is proposed in this work to optimize energy efficiency, maximize the throughput and reduce the latency. The DELFDO algorithm efficiently organizes packets in both time and frequency domains for H2H and MTC devices, resulting in improved quality of service while minimizing energy consumption. The Simulation results demonstrate that the proposed method increases the energy efficiency by producing the appropriate channel and power assignment for UEs and MTC devices. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
6. Optimal operation of electric–freshwater energy system considering load regulation strategy of individual hydrogen electrolyzer
- Author
-
He Wang, Bowen Zhou, Fabin Li, Xingming Ma, Yujie Gao, and Hao Yang
- Subjects
clean energy ,distributed generation ,electrical and electronic engineering ,energy storage ,power system operation ,power system optimization ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Abstract In view of the existing literature, only the optimization operation of hydrogen energy–wind/light new energy is considered, and the research problems such as comprehensive utilization of water resources and load control strategies are ignored. Based on the analysis of load characteristics of offshore wind power, this paper has established an optimal operation model of power‐fresh water energy system based on “wind‐hydrogen‐water‐electricity” interaction. Meanwhile, an electrolytic hydrogen individual load control strategy is proposed to match wind power fluctuations from the perspective of internal load regulation of electrolytic hydrogen system. From the economic characteristics, operation characteristics, accommodation situation and other simulation analysis, it can reduce the total operating cost by about 3.1%, improve the utilization rate of electrolytic cell capacity, and meet the water demand of coastal users. It shows that the individual control strategy and optimal operation model have advantages, which is of great significance for realizing low‐carbon, safe, and economical operation of power grid in the future.
- Published
- 2024
- Full Text
- View/download PDF
7. سنجش تعاملات و همکاری های بین سازمانی در مقالات علمی حوزه مهندسی برق و الکترونیک ایران با رویکرد مدل مارپیچ سه گانه
- Author
-
سحر زارع خورمیزی, افسانه حاضری, and اسماعیل مصطفوی
- Abstract
Purpose: The triple helix model measures the interactions between university, industry, and government and is used by researchers as a normative framework to understand the interactions between the main actors in innovation systems. The main goal of the current research is to analyze the dynamics of organizational interactions in the production of scientific articles in the field of electrical and electronic engineering in Iran. Therefore, this research tries to quantitatively assess the status of inter-organizational cooperation in scientific articles in the field of electrical and electronic engineering in Iran with the approach of the triple helix model. Method: The current research is of an applied type, which was conducted using the Triple Helix Model and based on the T(UIG) indicator for University-Industry-Government interactions. The statistical population of the research includes 19,802 scientific articles indexed in the Web of Science database, from Iran in the field of Electrical and Electronic Engineering, during 2010-2019. TH software was used to convert data that was extracted from the Web of Science database into Excel format and to calculate the uncertainty of the interactions of the elements. In order to make a proper analysis in this regard, first, based on the usual and common research process of this field, the university was considered with code U, the industry with code I, and the government with code G. Findings: The findings of the research showed that the number of articles has grown in the studied period and reached 3216 articles in 2019 from 1019 articles in 2010. The findings show that the production of articles in all three pillars has an upward growth and the growth rate of articles from 2010 to 2019 is 0.63 for university, 2.5 for industry and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010 and the lowest level of government-industry interactions, which was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has taken place, and the opposite is true for tripartite relationships, and in 2010, the highest degree of triple interaction between university-industry-government pillars is observed. Based on the values of T index, the highest amount of double and triple interactions between university-government, university-industry-government, university-industry, and industrygovernment have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent. Conclusion: The findings showed that the number of articles has grown in the studied period, reaching 3216 articles in 2019 from 1019 articles in 2010. The results also show that the production of articles in all three pillars has an upward growth which the growth rate of articles from 2010 to 2019 is 0.63 for universities, 2.5 for industry, and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010, and the lowest level of government-industry interactions was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has been taken place, and the opposite is true for tripartite relationships. In 2010, the highest degree of triple interaction between university-industrygovernment pillars is observed. Based on the values of the T index, the highest amount of double and triple interactions between university-government, university-industry-government, universityindustry, and industry-government have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
8. Tools and Technologies for Blind and Visually Impaired Navigation Support: A Review
- Author
-
Raju Shrestha, Frode Eika Sandnes, and Bineeth Kuriakose
- Subjects
Blind people ,Computer science ,Visually impaired ,020208 electrical & electronic engineering ,Assistive tools ,020206 networking & telecommunications ,02 engineering and technology ,Travel aids ,Accessibility ,Assistive technologies ,Navigation ,Navigational instrument ,Human–computer interaction ,Assistive technology ,0202 electrical engineering, electronic engineering, information engineering ,Visually impaired people ,Electrical and Electronic Engineering - Abstract
The development of navigation tools for people who are visually impaired had become an important concern in the research area of assistive technologies. This paper gives a comprehensive review of different articles published in the area of navigation solutions for people who are visually impaired. Unlike other review papers, this review considers major solutions that work in both the indoor or/and outdoor environments which are based on different technology. From the review, it became clear that the navigation systems proposed for the target users lack some core features that are quite important for independent navigation. Also, there can be instances in which humanitarian conditions also have to be considered in the navigation system design. Based on these findings, a set of recommendations are also given which can be considered in the future design of navigation systems for blind and visually impaired people.
- Published
- 2020
9. Characterizing Engineering Learners’ Preferences for Active and Passive Learning Methods
- Author
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Camilo Vieira, Alejandra J. Magana, and Mireille Boutin
- Subjects
Multimedia ,Computer science ,media_common.quotation_subject ,05 social sciences ,050301 education ,Homework assignment ,computer.software_genre ,Constructive ,Preference ,Education ,Passive learning ,Perception ,Active learning ,ComputingMilieux_COMPUTERSANDEDUCATION ,Mathematics education ,0501 psychology and cognitive sciences ,Electrical and Electronic Engineering ,Structured prediction ,0503 education ,computer ,050104 developmental & child psychology ,media_common - Abstract
This paper studies electrical engineering learners’ preferences for learning methods with various degrees of activity. Less active learning methods such as homework and peer reviews are investigated, as well as a newly introduced very active (constructive) learning method called “slectures,” and some others. The results suggest that graduate students’ perception of the usefulness of the activity increases with its level of activity. For undergraduate students, an increased perception of the usefulness of the activity was observed for lightly active but structured learning methods. Group-based analysis focusing on two types of learners, defined as “instructor-dependent” and “instructor-independent” according to their perception of the usefulness of the classroom lectures, was also performed. The results suggest that instructor-independent learners may benefit more from active learning methods than instructor-dependent learners. For example, instructor-independent undergraduate learners were found to perceive the homework assignment as being more useful than the lectures. Such a preference was not seen in the average group data. In fact, no learning method was found to be perceived as more useful than the lectures, on average. Thus this paper illustrates the pertinence of group-based data analysis.
- Published
- 2018
10. Editorial Appreciation to Our Reviewers
- Author
-
Reha Uzsoy
- Subjects
business.industry ,Principal (computer security) ,Privilege (computing) ,Electrical and Electronic Engineering ,Public relations ,Condensed Matter Physics ,Psychology ,business ,Industrial and Manufacturing Engineering ,Electronic, Optical and Magnetic Materials - Abstract
Each year it is the privilege and responsibility of the Editor-in-Chief to acknowledge the reviewers whose largely anonymous efforts lie at the heart of any scientific publication, and the communities of scholars and practitioners whom it serves. As such, it is worth taking a few minutes to reflect on the purpose of the peer review process, and the contributions our reviewers make. To my mind the principal purposes of peer review are to determine whether the paper merits publication, and to help authors write better papers.
- Published
- 2018
11. Letter of Appreciation
- Author
-
Yiyan Wu
- Subjects
World Wide Web ,Engineering ,Broadcasting (networking) ,Broadcast engineering ,Goto ,Multimedia ,business.industry ,Media Technology ,Electrical and Electronic Engineering ,computer.software_genre ,business ,computer - Abstract
I wish to extend my deep appreciation to all those who have so generously volunteered their time and talents during 2015 to the peer review and publication of the IEEE Transactions on Broadcasting . Special thanks go to our BTS Publications Chair and Associate Editors who have shared their valuable time and broadcast engineering expertise in managing a steadily increasing flow of papers and evaluating manuscripts through the peer review process.
- Published
- 2019
12. Open Data and Energy Analytics
- Author
-
Massimiliano Manfren, Michel Noussan, and Benedetto Nastasi
- Subjects
Control and Optimization ,energy planning ,smart cities ,Computer science ,Energy (esotericism) ,Energy Engineering and Power Technology ,lcsh:Technology ,Electrical and Electronic Engineering ,open data analytics ,open energy governance ,Engineering (miscellaneous) ,Renewable Energy, Sustainability and the Environment ,business.industry ,urban database ,lcsh:T ,energy modelling ,data mining ,Energy planning ,Data science ,Open data ,building dataset ,machine learning ,Analytics ,Data analysis ,business ,energy mapping ,Smart cities ,Urban database ,Energy (miscellaneous) - Abstract
This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.
- Published
- 2020
13. Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview
- Author
-
Ayan Chatterjee, Santiago Martinez, and Martin Gerdes
- Subjects
Male ,normal distribution ,obesity ,020205 medical informatics ,Nice ,02 engineering and technology ,Overweight ,lcsh:Chemical technology ,computer.software_genre ,Sklearn ,Biochemistry ,Analytical Chemistry ,Machine Learning ,0302 clinical medicine ,Pregnancy ,Risk Factors ,0202 electrical engineering, electronic engineering, information engineering ,Medicine ,data visualization ,lcsh:TP1-1185 ,030212 general & internal medicine ,Instrumentation ,VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 ,computer.programming_language ,Behavior change ,Middle Aged ,Atomic and Molecular Physics, and Optics ,sensor data ,lifestyle diseases ,VDP::Medisinske Fag: 700::Helsefag: 800 ,classification ,Female ,regression ,medicine.symptom ,Adult ,Machine learning ,Article ,03 medical and health sciences ,Young Adult ,BMI ,Urbanization ,Humans ,overweight ,Electrical and Electronic Engineering ,Exercise ,gradient descent ,Sedentary lifestyle ,business.industry ,Weight change ,model performance ,deep learning ,eCoach ,medicine.disease ,calibration ,Obesity ,hypothesis test ,python ,monitoring ,Artificial intelligence ,Prisma ,business ,computer ,discrimination - Abstract
Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors such as unhealthy habits, improper diet, and physical inactivity lead to physiological risks, and &ldquo, obesity/overweight&rdquo, is one of the consequences. &ldquo, Obesity and overweight&rdquo, are one of the major lifestyle diseases that leads to other health conditions, such as cardiovascular diseases (CVDs), chronic obstructive pulmonary disease (COPD), cancer, diabetes type II, hypertension, and depression. It is not restricted within the age and socio-economic background of human beings. The &ldquo, World Health Organization&rdquo, (WHO) has anticipated that 30% of global death will be caused by lifestyle diseases by 2030 and it can be prevented with the appropriate identification of associated risk factors and behavioral intervention plans. Health behavior change should be given priority to avoid life-threatening damages. The primary purpose of this study is not to present a risk prediction model but to provide a review of various machine learning (ML) methods and their execution using available sample health data in a public repository related to lifestyle diseases, such as obesity, CVDs, and diabetes type II. In this study, we targeted people, both male and female, in the age group of >, 20 and <, 60, excluding pregnancy and genetic factors. This paper qualifies as a tutorial article on how to use different ML methods to identify potential risk factors of obesity/overweight. Although institutions such as &ldquo, Center for Disease Control and Prevention (CDC)&rdquo, and &ldquo, National Institute for Clinical Excellence (NICE)&rdquo, guidelines work to understand the cause and consequences of overweight/obesity, we aimed to utilize the potential of data science to assess the correlated risk factors of obesity/overweight after analyzing the existing datasets available in &ldquo, Kaggle&rdquo, University of California, Irvine (UCI) database&rdquo, and to check how the potential risk factors are changing with the change in body-energy imbalance with data-visualization techniques and regression analysis. Analyzing existing obesity/overweight related data using machine learning algorithms did not produce any brand-new risk factors, but it helped us to understand: (a) how are identified risk factors related to weight change and how do we visualize it? (b) what will be the nature of the data (potential monitorable risk factors) to be collected over time to develop our intended eCoach system for the promotion of a healthy lifestyle targeting &ldquo, obesity and overweight&rdquo, as a study case in the future? (c) why have we used the existing &ldquo, UCI&rdquo, datasets for our preliminary study? (d) which classification and regression models are performing better with a corresponding limited volume of the dataset following performance metrics?
- Published
- 2020
14. Nano-artifact metrics based on random collapse of resist.
- Author
-
Tsutomu Matsumoto, Morihisa Hoga, Yasuyuki Ohyagi, Mikio Ishikawa, Makoto Naruse, Kenta Hanaki, Ryosuke Suzuki, Daiki Sekiguchi, Naoya Tate, and Motoichi Ohtsu
- Subjects
INFORMATION technology ,CHEMICAL synthesis ,ELECTRICAL engineering ,TECHNOLOGICAL revolution ,SCANNING electron microscopy ,NANOSTRUCTURES - Abstract
Artifact metrics is an information security technology that uses the intrinsic characteristics of a physical object for authentication and clone resistance. Here, we demonstrate nano-artifact metrics based on silicon nanostructures formed via an array of resist pillars that randomly collapse when exposed to electron-beam lithography. The proposed technique uses conventional and scalable lithography processes, and because of the random collapse of resist, the resultant structure has extremely fine-scale morphology with a minimum dimension below 10 nm, which is less than the resolution of current lithography capabilities. By evaluating false match, false non-match and clone-resistance rates, we clarify that the nanostructured patterns based on resist collapse satisfy the requirements for high-performance security applications. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
15. Using Low-Cost Sensors to Develop a High Precision Lifting Controller Device for an Overhead Crane—Insights and Hypotheses from Prototyping a Heavy Industrial Internet Project
- Author
-
Juuso Autiosalo, Martin Steinert, Heikki Sjöman, Jari Juhanko, Petri Kuosmanen, Norwegian University of Science and Technology, Department of Mechanical Engineering, Aalto-yliopisto, and Aalto University
- Subjects
Computer science ,Controller (computing) ,Internet of Things ,02 engineering and technology ,Heavy industry ,lcsh:Chemical technology ,Biochemistry ,Article ,Analytical Chemistry ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,Wayfaring ,ta213 ,business.industry ,Industrial Internet ,Value proposition ,05 social sciences ,prototyping ,Overhead crane ,Atomic and Molecular Physics, and Optics ,Manufacturing engineering ,New product development ,iterating ,Factory (object-oriented programming) ,020201 artificial intelligence & image processing ,The Internet ,User interface ,business ,050203 business & management ,Agile software development - Abstract
The subject of this study was the product development project creating a new innovative proof-of-concept (POC) prototype device that could control a connected industrial overhead crane in order to perform automatic or semi-automatic high precision lifts within a limited time frame. The development work focused on innovating a new measuring concept, which was parallel to finding suitable sensors for the application. Furthermore, the project resulted in a closed loop control system with Industrial Internet connected sensors and a user interface for factory workers. The prototyping journey is depicted to illustrate the decisions made during the product development project to contribute to both the pragmatic and the process discussion in the field of Industrial Internet. The purpose of this research was to explore and generate hypotheses for how new applications should be developed for heavy industry connected devices. The research question is: what are the implications of applying agile product development methods, such as Wayfaring, to heavy industrial machinery and Industrial Internet -based problems? The methodologies used in this paper, in addition to developing the device, are case study research and hypotheses generated from case studies. The hypotheses generated include that it is also possible to prototype large size connected machinery with low-cost and in a short time, and investment decisions for heavy Industrial Internet products become easier with concrete data from proof-of-concept prototypes by creating knowledge about the investment risk and the value proposition.
- Published
- 2018
16. Not Losing the EFL Plot: L2 Engagement through Literature (Reading Circles) and Producing Short Stories (Creative Writing Circles)
- Author
-
Kevin M. Maher
- Subjects
Value (ethics) ,Linguistics and Language ,Literature and Literary Theory ,Writing Collaboration ,media_common.quotation_subject ,Acquiring language ,Narrative Prose ,Context (language use) ,lcsh:PR1-9680 ,Language and Linguistics ,lcsh:P1-1091 ,Reading (process) ,Reading Circles ,ComputingMilieux_COMPUTERSANDEDUCATION ,Literature Circles ,Mathematics education ,Narrative ,Creative Writing ,Sociology ,Plot (narrative) ,Electrical and Electronic Engineering ,media_common ,Structure (mathematical logic) ,Narrative Writing ,lcsh:English literature ,lcsh:Philology. Linguistics ,Creative writing ,EFL Writing Circles - Abstract
Reading and writing stories (literature) can be an effective way to engage students’ L2. Pedagogically, teachers are looking for ways to increase L2 input, and amplify L2 output. Because of the communicative nature of acquiring language, teachers are equally looking for collaboration among students to increase the usage of their L2 language. This paper proposes studying literature through Reading Circles and creating plot-focused short stories within a Writing Circles structure. It will theoretically establish the value of literature circles and creative writing circles in the EFL context, and share how language teachers can implement them.
- Published
- 2018
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