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Salama, A. M. (Ed.) (2009). Shaping the Future of Learning Environments: Emerging Paradigms and Best Practices. Open House International, 34(1), 1-128. Whether in school buildings or university campuses the educational process involves many activities that include knowledge acquisition and assimilation, testing students’ motivation and academic performance, and faculty and teachers’ productivity. The way in which we approach the planning, design, and our overall perception of learning environments makes powerful statements about how we view education; how educational buildings are designed tells us much about how teaching and learning activities occur. Concomitantly, how these activities are accommodated in a responsive educational environment is a critical issue that deserves special attention. While it was said several decades ago that a good teacher can teach anywhere, a growing body of knowledge—derived from knowledge on “evidence-based design” suggests a direct correlation between the physical aspects of the learning environment, teaching processes, and learning outcomes. In its commitment to introduce timely and pressing issues on built environment research, Open House International presents this special edition to debate and reflect on current discourses on sustainable learning environments. As a guest editor of this edition, my personal interest, acquaintance, and experience of learning environments come primarily from working with Henry Sanoff in the early nineties on a research project—funded by the National Endowment for the Arts and conducted at the School of Architecture at North Carolina State University—addressing environments for young children, in which a number of collaborative mechanisms for understanding and anatomizing the learning environment are developed, while exploring the wide of variety of needs and interests that are mandated by different user types (Sanoff, 1994, 1995, 2002). Such an experience was enhanced by my involvement with Adams Group Architects in Charlotte, North Carolina in a research and consultancy capacity during the period between 2001 and 2004 (Salama, 2002, Salama and Adams 2003 a. and b., Salama, 2004, Salama, 2007). Several strategic planning projects, pre-design studies, and participatory programming and design were developed for schools in North Carolina. A worldwide commitment to designing responsive environments conducive to learning is witnessed in many academic settings. This is evident in a recent colloquium conducted by Colloquia of Lausanne, Switzerland, and in the recent efforts by recent practices in both developing and developed countries (Knapp, Noschis, and Pasalar, 2007; DesignShare, 2008; NCEF, 2008). Notably, in many schools of architecture the subject is being debated through research and design where future generations of architects are exploring possibilities of shaping the future of learning environments. An important example among many others is the studio project undertaken at the Post Graduate Level at Queen’s University Belfast and coordinated by Alan M. Jones and Karim Hadjri. In this project and through designing a context-based high school in Belfast, students are developing a deeper insight into the understanding of sustainable design parameters including lighting experience and the distinctive characteristics of the spatial environment and its impact on learning. See Editorial: Salama, A. M. (2009). A Bright Future for Creating Environments Conducive to Learning, Open House International, 34, 1, pp.5-8
Open House International
A Bright Future for Creating Environments Conducive to Learning, Ashraf M. Salama, 20092009 •
Salama, A. M. (2009). Editorial: A Bright Future for Creating Environments Conducive to Learning, Open House International, Volume 34, Issue 1, PP.5-8. ISSN # 0160-2601. ________________________ Whether in school buildings or university campuses the educational process involves many activities that include knowledge acquisition and assimilation, testing students' motivation and academic performance, and faculty and teachers' productivity. The way in which we approach the planning, design, and our overall perception of learning environments makes powerful statements about how we view education; how educational buildings are designed tells us much about how teaching and learning activities occur. Concomitantly, how these activities are accommodated in a responsive educational environment is a critical issue that deserves special attention. While it was said several decades ago that a good teacher can teach anywhere, a growing body of knowledge-derived from knowledge on "evidence-based design" suggests a direct correlation between the physical aspects of the learning environment, teaching processes, and learning outcomes. In its commitment to introduce timely and pressing issues on built environment research, Open House International presents this special edition to debate and reflect on current discourses on sustainable learning environments. See more by downloading the full article.
2003 •
Salama, A. M. and Adams, W. G. (2003). Designing Sustainable Learning Environments: Rethinking the Missing Dimensions, AUEJ: AlAzhar University Engineering Journal, 7(Special Issue). ISSN # 1110-6406. There is a great deal of discussions in design, architecture, and construction circles on sustainable learning environments, and widely varying opinions as to how exactly sustainability can be introduced and approached. Recent literature indicates that the term encompasses more than the physical and economic aspects. It includes social, cultural, and behavioral dimensions. However, investigating contemporary architectural practices reveals that there are two major missing dimensions. On the one hand, there is an emphasis on the physical aspects of sustainability while socio-cultural and socio-behavioral dimensions are oversimplified. On the other hand, there is a heavy reliance on top-down policies and strategies with the aim of developing guidelines to be implemented for the betterment of learning environments. Strikingly, this takes place at the expense of other bottom-up strategies that aim at sensitizing users toward understanding the key issues underlying sustainability. The argument of this paper is based on the belief that adopting the principles of sustainability is a comprehensive approach for a society to seek sound solutions. It calls for a responsive approach that incorporates these missing dimensions into current policies and strategies for designing and building sustainable learning environments. The paper explores different definitions of sustainability as viewed by the international community. It critically analyzes the problems associated with sustainability terminology, while comparing between top-down and bottom-up approaches to sustainability. In order to support the overall argument, the paper offers analyses of a number of real life cases that illustrate how socio-behavioral dimensions can be addressed in a collaborative design process and how bottom-up strategies can be integrated into this process.
2009 •
Every brief and every client anticipates that building designs will be informed by sound environmental decision making. Quantitative research, particularly from the USA, has confirmed our commonsense notion that learning improves with good lighting, ventilation and water proofing as well as thermal comfort and acoustic control. In this paper, Dominique Hes provides an introduction to and critique of the relatively new Green Star rating tool for education buildings. One of the aims of the rating tool is to provide a road map for designers and clients to help them make good environmental decisions. Dominique concludes with a critique of the current rating tool for education and a suggestion for how to move forward even if the tool is not yet ideal.
Educational Architecture - Education, Heritage, Challenges
Schools and learning spaces are to be build on scientific grounds - a reseach-based framework for school architecture and learning space design2019 •
Over the past 20 years the world at large has undergone radical changes, in a pace never seen before in human history. A change mainly caused by digital technology and the 4 th industrial revolution. This paper argues, that schooling, especially primary schools, has not been able to adapt or keep up with that change. We currently see a learning-and assessment culture, a curriculum and a set of teaching methods in schools that no longer correspond with the skills students need in the future, nor correlates with what we know are the best methods for motivating pupils to actively engage and take ownership of their school work. In others words there seems to be a growing gap between what the current school systems are teaching and testing, and the skills students need to thrive individually, socially and professionally. Closing this gap, the physical environment of the school plays a significant role. We are shaped by the spaces we inhabit, and the 'affordance landscape' of a building, determines our possibilities and limits for thought and action. It is through the physical design of learning spaces that we can open up for new teaching practices and learning processes. So if we want to change the way kids learn, we need to change the spaces in which this learning is to take place. It is argued, that the basic problem of school architecture, are to be found in the fact, that decisions are first and foremost informed by hygienical standards, mere esthetics or personal opinions of policy-makers, architects and engineers. Easy-to-measure aspects like air-quality, amounts of daylight and square meter per student, seem to be the main concern. Far less often do we ask the question of how the layout and design of the school strengthens students' abilities for collaboration, their motivation for active engagement in school life, concentration and memory-processes. Through three corresponding architectural design-concepts Moving Architecture, Learning Architecture and Biomimetic Architecture, this paper aims to draw the outline of a decision-making tool that can help ensure, that schools are first and foremost build from a child-centred learning perspective. Keywords: School architecture, learning, Moving architecture, Learning Architecture, Biomimetic architecture, 21st century learning skills, creativity, future schools, learning spaces, learning space design
2015 •
Learning environments in schools are purpose-built spaces. They are designed to be places of learning and are inclusive of the building structure, the furniture, fixtures, incorporated technology and learning resources. In the 21 st century, it has become common practice for the design of new learning environments to be driven by issues of contemporary pedagogy and environmental sustainability. However the question that remains unanswered is what are the synergies and tensions between achieving environmental sustainability and contemporary pedagogy within the same learning environment? The purpose of this paper is to stimulate conversation around this topic. The findings relate to three researcher’s observation over a seven year period of learning environments research, undertaken at The University of Melbourne as part of the Learning Environments Applied Research Network (LEaRN) and two Australian Research Council Linkage Projects Smart Green Schools and Future Proofing Schools. Di...
2016 •
Australia has been the site of significant school facility design innovation during the past decade. This innovation was showcased in 2013 in a report released by the Organisation for Economic Cooperation and Development (OECD) titled Innovative Learning Environments, Educational Research and Innovation. It featured case studies of forty exemplary schools from around the world. Of these, seven were from Australia, including six from Victoria.While international attention directed towards the designs of Australian schools is nice, there remains little empirical evidence to attest to the effectiveness of these and other innovative school facilities in supporting desired and emerging pedagogies in primary and secondary schools.The Towards Effective Learning Environments in Catholic Schools (TELE): An Evidence Base Approach project was set up in 2015 as a collaborative research initiative between Catholic Education Melbourne (CEM) and the Learning Environments Applied Research Network (...
International Journal of Computer Science and Information Security (IJCSIS), Vol. 22, No. 4, July-August
A Comprehensive Analysis of Bengali Sentiment Exploration Using Transformer Block I And Transformer Block IIThe world is modernized day by day because of the internet. People can see anything through social media. In this paper, we work on sentiment or opinion mining. There are two types of sentiment: positive sentiment and negative sentiment. Also, English sentiment has multiple works, but Bangla sentiment works are limited. Thus, we focus on Bengali sentiment. We also focus on Bengali sentiment exploration in transformer blocks I and II.. We collect data from Kaggle, such as the predict unsupervised dataset (dataset 1), the conversion dataset (dataset 2), and the Bengali Review dataset (dataset 3).The total number of Bengali sentiments is 19600. Different transformer methods, such as bidirectional encoder representation from transformer (BERT), distilled version of BERT (DistilBERT), and a lite Bert for self-supervised learning of language representations (Albert),. We use deep neural networks such as recurrent neural networks (RNN), long-short-term memory (LSTM), and gated recurrent units (GRU). All the datasets work effectively and efficiently, but the Bengali Review dataset with Transformer II works so fast that accuracy, precision, recall, F1-score, and Roc score are 93.91% in LSTM with DistilBERT, 97.43% in LSTM with ALBERT, 97.15% in LSTM with BERT, 95.77% in LSTM with DistilBERT, and 93.41% in LSTM with ALBERT, respectively. Error exploration is much more important for sentiment analysis. When there are fewer errors, the model performs more efficiently. Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Square Log Error (MSLE) are 0.060, 0.246, and 0.029, respectively, in LSTM with DISTILBERT. Overall, transformer block II provide the best result. Keywords—Sentiment exploration; Bengali dataset; Transformer I and II; Encoder; Neural Network.
2020 •
Psychology of Aesthetics, Creativity, and the Arts
But, How Can We Make “Art?” Artistic Production Versus Realistic Copying and Perceptual Advantages of Artists2018 •
Journal of Hebrew Scriptures
Lip̄nē ‘in the face of’: a Locative preposition with a threatening connotation2022 •
Public Governance and Religion. Key Historical Turns in Modern Romania
Public Governance and Religion. Key Historical Turns in Modern Romania2023 •
Patologiya krovoobrashcheniya i kardiokhirurgiya
Perioperative risk factors for delirium development after elective cardiovascular surgery2020 •
2020 •
Urban Planning
Urban Sustainability in Arctic Cities: Challenges and Opportunities of Implementing the Sustainable Development Goals2024 •
Карабихские научные чтения. Усадьба — литература — музей: пути и проблемы взаимодействия традиционных культурных институтов в современном мире: материалы научно-практический конференции (Ярославль — Карабиха, 4–5 июля 2024 года)
«Последние элегии» и «Панаевский цикл» Н. А. Некрасова2021 •
Nepalese heart journal
Report of the successful Senning procedure from Nepal2023 •
European Journal of Biochemistry
Endopeptidase variations among different life‐cycle stages of African trypanosomes1991 •
Digestive and Liver Disease
Expression of long non-coding RNA ANRIL predicts a poor prognosis in intrahepatic cholangiocarcinoma2019 •