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There is currently a lack of research describing the best way to design learning environments for increasing numbers of children with autism. The purpose of this study was to determine the impact of classroom design on the learning and behaviour of pupils with severe autism. The research variables of interest were classroom layout; furniture, fittings and equipment (FFE); materials; colour scheme; wayfinding; lighting; acoustics; and security.

This study conducted a post-occupancy evaluation of classrooms for pupils with severe autism aged 3–19 in a school ten years after its completion. Data collection included a visual assessment of the building and an online survey to educators and administrators asking how satisfied they were that the research variables benefited pupils with severe autism.

Key findings were that zoned areas for different activities met students’ needs. Withdrawal rooms off the classroom, access to shared hygiene facilities and a secure outdoor area received high ratings. The main criticisms were the lack of robustness of FFE and the inability to control temperature. Results were collated into a table of recommendations for classroom design for severely autistic pupils.

The findings demonstrate classroom features that support the needs of pupils with severe autism, an area with limited prior research. Some findings support previous research and some adds new knowledge to our understanding of design for this population. The results provide empirical evidence for professionals involved in designing classrooms for pupils with severe autism.

The purpose of this paper is to propose a design of online-merge-offline (OMO) classroom for open education with design principles related to practical issues of teachers’ teaching, students’ learning and schools’ management.

Three stages were covered: drafted an OMO classroom framework, built a sample classroom and explored end-users’ experience. First, authors searched for and reviewed previous studies and related cases to draft an OMO framework. Second, a classroom, consisted of wireless devices, cloud-based services, Internet of Things terminals, ergonomics furniture, and comprehensive data management and analysis services, was built in Shanghai Open University. Third, invited 11 students’, 18 teachers’ and 9 school managers’ perspectives were collected and analysed by surveys and interviews.

All student participants responded positively in terms of learning experience in the classroom. They not only engaged in classroom activities such, but also accessed needed learning materials and interacted with teachers and peers anytime anywhere via mobile devices. Similarly, most teachers (90 per cent) made positive responses because of flexibility of teaching strategies and learning activities and expressed willingness to use the classroom in the future (94.4 per cent). In addition, more than 78 per cent of managers positively commented on the design of classroom, interaction effects and effective management. Visualised data allowed them to timely monitor status of facilities, comprehensively understand users’ behaviour and issues, make necessary decision with scientific evidence.

The framework and classroom not only provide teachers, students, school managers and researcher with a better understanding of innovative open education, but also indicate the key role of objective-oriented and data-driven issues for further work.

To meet needs of teachers, students, managers and researchers in today’s open education, an OMO classroom was built in Shanghai Open University based on the proposed Objective-Oriented Pedagogy-Space-Technology (OPST) framework. The framework provides readers (especially teachers and administrators of open-education institutes, staff of information centres and ed-tech researchers) with a better understanding of innovative instruction and effective management, and the originally designed classroom can be a practical and illuminating example.

The aim of this study is to understand classroom settings desired by high school students and teachers in an active learning classroom. The research question is whether students and teachers will differ from each other when designing an active learning classroom.

In an effort to design a learning environment for an advanced placement programme, action research methodology was followed by conducting a participatory workshop in a real active learning classroom with future users. Working in isolation from one another, students and teachers designed their own classrooms by forming different learning centres. During the study, two groups, made up of ten high school students and seven teachers, respectively, were asked to arrange the furniture in an active learning classroom. The groups were free to form as many furniture arrangement configurations as they wished and were asked to write about their workshop experiences afterwards. Once they had completed both tasks, their plan layouts were examined.

All of the plan layouts were found to fall into one of three categories: a traditional layout, a small group layout or a single large group layout. The written texts were also analysed, which revealed different perspectives of each participating group. As students and teachers explore different learning opportunities, they appear to be driven by different kinds of experiences when they endeavour to organize their classrooms.

Never before has an active learning classroom been the site for a participatory furniture arrangement workshop that employs teachers and students.

The aim of this paper was to examine current learning styles and teaching methods in order to suggest a new form of learning environment for young students. Features such as different activity settings and small group activities aimed at enhancing learning resulted from the participation of students, teachers and parents in the design of the Gibsonville Elementary School. Teachers, working in small groups, compared different classroom arrangements along with criteria to compare and evaluate each alternative and unanimously selected an “L” shape classroom, which became the basis for the design of the school. Another critical design feature that emerged from the teacher workshop was direct access from each classroom to the outdoors, allowing teachers to create outdoor classrooms that could enhance student's ecological awareness. The final design featured four academic houses of six L shaped classrooms each around an open courtyard to provide a resource for students, parents, and teachers to collectively explore and maintain outdoor environmental themes. A post occupancy evaluation was conducted several months after completion of construction and revealed a high level of satisfaction; however, the findings pointed to the need for a subsequent workshop to focus on the effective arrangement of furniture in L shaped classrooms. The participatory process was identified by the students and teachers as the key factor contributing to the design, which of one of the first schools of its type in the United States.

This study aims to present a twofold machine learning (ML) model, namely, EDU-AI, and its implementation in educational buildings. The specific focus is on classroom layout design, which is investigated regarding implementation of ML in the early phases of design.

This study introduces the framework of the EDU-AI, which adopts generative adversarial networks (GAN) architecture and Pix2Pix method. The processes of data collection, data set preparation, training, validation and evaluation for the proposed model are presented. The ML model is trained over two coupled data sets of classroom layouts extracted from a typical school project database of the Ministry of National Education of the Republic of Turkey and validated with foreign classroom boundaries. The generated classroom layouts are objectively evaluated through the structural similarity method (SSIM).

The implementation of EDU-AI generates classroom layouts despite the use of a small data set. Objective evaluations show that EDU-AI can provide satisfactory outputs for given classroom boundaries regardless of shape complexity (reserved for validation and newly synthesized).

EDU-AI specifically contributes to the automation of classroom layout generation using ML-based algorithms. EDU-AI’s two-step framework enables the generation of zoning for any given classroom boundary and furnishing for the previously generated zone. EDU-AI can also be used in the early design phase of school projects in other countries. It can be adapted to the architectural typologies involving footprint, zoning and furnishing relations.

This article applies learning theory and ergonomic principles to the design of effective learning environments for library instruction. It discusses features of electronic classroom ergonomics, including the ergonomics of the physical space, environmental factors, and the workstations. Includes classroom layouts.

The observation by the authors, based on their extensive experience working in K-8 public schools in the region showed the special needs classrooms catering to children with exceptionalities such as Autism Spectrum Disorder (ASD), Intellectual Disability (ID) and Emotional Disturbance (ED) are typically makeshift arrangements with no consideration given to students' unseen sensory needs. A thorough literature review indicates that there are no holistic design guidelines in place to meet the sensory needs of students with ASD, ID and ED. This study seeks to address this gap by providing considerations to meet the sensory needs impacting these students' focus, behavior and classroom engagement with course content and peers.

Sensory design guidelines were established utilizing a qualitative method, providing a foundation for the development of classroom prototypes that address the sensory needs of students with ASD, ID and ED.

The new guidelines, which correlated interior design strategies with the sensory needs of children with ASD, ID and ED, and the resulting prototypes provide a basis for the further development of design standards and takes designers closer to creating more conducive and inclusive environments.

This study reinforced the belief that these recommendations should be considered in the school-wide design. Many students can be included with their typical peers for all or part of their school day if space has been designed to accommodate their differences.

This study bridges the gap while documenting the correlation between design factors and sensory needs of students with exceptionalities, in this case, ASD, ID and ED.

This study explores the impact of virtual classrooms as an emerging classroom typology in comparison to the physical classrooms in the design process. Two case studies were held in order to infer design students' classroom preferences in the project lifecycle. The findings put forth figures that compare two forms of design communication in the two classroom types in terms of their contribution to design development. Although the students acknowledged many advantages of web-based communication in the virtual classroom, they indicated that they are unwilling to let go off face-to-face encounters with the instructors and fellow students in the physical classroom. It is asserted that the future design studio will be an integrated learning environment where both physical and virtual encounters will be presented to the student. Utilizing the positive aspects of both communication techniques, a hybrid setting for the design studio is introduced, comprising the physical classroom as well as the virtual one. The proposed use for the hybrid setting is grouped under 3 phases according to the stage of the design process; as the initial, development and final phases. Within this framework, it is inferred that the design studio of the future will be an integrated form of space, where the physical meets the virtual.

The purpose of this study was to examine faculty and student satisfaction with classrooms in a university teaching facility in the Midwest, U.S.A. The two-story, 95,000 square foot (79,429.5 square meter) building cost 13.5 million dollars to build and was dedicated for use by the entire campus with no college or department given permanent classroom space. The facility's classrooms were designed to incorporate state-of-the-art communications technology including television monitors, DVD and video cassette recorders, overhead projectors and slide projectors, video presenters, and hook-ups for computers and CD, tape and other audio equipment. A post-occupancy evaluation (POE) survey of 125 faculty and 5,048 students using the facility indicated that the majority of faculty and students were satisfied with the classrooms (overall satisfaction: faculty, 65.3%F students 73.0%). However, problems were cited including: difficulty in using equipment, uncomfortable room temperatures and seating, and a sterile environment (all but three classrooms are windowless).

Informed by acoustic design standards, the built environments are designed with single reverberation times (RTs), a trade-off between long and short RTs needed for different space functions. The novel intelligent passive room acoustic technology (IPRAT) has the potential to revolutionise room acoustics, thus, it is imperative to analyse and quantify its effect. IPRAT achieves real-time room acoustic improvement by integrating passive variable acoustic technology (PVAT) and acoustic scene classification (ASC). This paper aims to compare IPRAT simulation results with the AS/NZS 2107:2016 Australian/New Zealand recommended design acoustic standards.

In this paper 20 classroom environments are virtually configured for the simulation, multiplying 5 classrooms with 4 aural situations typical to New Zealand classrooms. The acoustic parameters RT, sound clarity (C50) and sound strength (G) are considered and analysed in the simulation. These parameters can be used to determine the effects of improved acoustics for both teacher vocal relief and student comprehension. The IPRAT was assumed to vary RT and was represented in the simulation by six different absorption coefficient spectrums.

The optimised acoustic parameters were derived from relationships between C50, RT and G. These relationships and optimal RTs contribute a unique database to literature. IPRAT’s advantages were discerned from a comparison of “current,” “attainable” and “optimised” acoustic parameters.

By quantifying the effect of IPRAT, it is understood that IPRAT has the potential to satisfy the key recommendations of professional industry standards (for New Zealand namely; AS/NZS 2107:2016 recommended design acoustic standards).