The Relationship of Sensory Design Towards the Physical Learning Environment for Autism Classroom

Designing spaces for the autistic should be considered their sensory needs. This quantitative study employed the survey method to explore the relationship between the sensory design towards the physical learning environment. The respondents (n=384) identified and Statistical Program for Social Sciences Software (SPSS) used for data entry and analysis. Pearson's Correlation is used to highlight relationships between the variables. The result revealed sensory design have a strong significant relationship towards the physical learning environment in the context of autism. Findings hoped to benefit in creating to improve the autism learning environment in Malaysia. Keywords: Sensory design; physical learning environment; quantitative eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6i18.3070

Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

Research shows that various contextual factors can have an impact on learning. Some of these factors can originate from the physical learning environment (PLE) in this regard. When learning from home, learners have to organize their PLE by themselves. This paper is concerned with identifying, measuring, and collecting factors from the PLE that may affect learning using mobile sensing. More specifically, this paper first investigates which factors from the PLE can affect distance learning. The results identify nine types of factors from the PLE associated with cognitive, physiological, and affective effects on learning. Subsequently, this paper examines which instruments can be used to measure the investigated factors. The results highlight several methods involving smart wearables (SWs) to measure these factors from PLEs successfully. Third, this paper explores how software infrastructure can be designed to measure, collect, and process the identified multimodal data from and about the PLE by utilizing mobile sensing. The design and implementation of the Edutex software infrastructure described in this paper will enable learning analytics stakeholders to use data from and about the learners’ physical contexts. Edutex achieves this by utilizing sensor data from smartphones and smartwatches, in addition to response data from experience samples and questionnaires from learners’ smartwatches. Finally, this paper evaluates to what extent the developed infrastructure can provide relevant information about the learning context in a field study with 10 participants. The evaluation demonstrates how the software infrastructure can contextualize multimodal sensor data, such as lighting, ambient noise, and location, with user responses in a reliable, efficient, and protected manner.

The Knowledge of Awareness on Designing Physical Learning Environment for Autism

Autism occurs in every racial and ethnic group gives a life-long impact to their affected relative. Conducive physical learning environment deliver benefit and helps autistic children improve their skill and performance. This research aims to develop a framework of the Physical Learning Environment, and this paper to determine the respondent knowledge of awareness on physical learning environment for autism. In summary, there are nine components involved: building scale, accessibility, wayfinding, toilet provision, window, ventilation/heating, threshold, legibility, and furniture. The significance of this research could contribute towards the creation of a quality environment for autistic children within the Malaysian context. Keywords: Autism; physical learning environment; descriptive analysis. eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI:

The Influence of Virtual Reality Technology on the Cultivation of Agricultural Students

Virtual reality learning environment is a virtual learning environment created by the use of virtual reality technology, which expands the physical learning environment and provides learners with richer learning experience and learning resources. It has the characteristics of immersion, interaction, and imagination. From these three characteristics, this paper studies the virtual reality learning environment to promote the deeper learning of agricultural students, immersion teaching provides experience support for agricultural students' deeper learning, interaction provides emotional support for agricultural students' deeper learning, and imagination provides situational support for agricultural students' deeper learning. The virtual reality technology is helpful to the cultivation of higher-order thinking of agricultural talents. It is expected to provide a reference for the future exploration of virtual reality technology to the cultivation of agricultural talents.

Investigation of the Physical Learning Environment of Distance Learning Under COVID-19 and Its Influence on Students' Health and Learning Satisfaction

Most undergraduates in Mainland China receive distance education from home because of the COVID-19 outbreak. The unique physical environment of distance learning may have effects not only on student learning but also on student physical and mental health. This study reviewed related studies of the physical learning environment and its influence on learners' physical and mental health. Using factor analysis, the authors developed a questionnaire to measure students' perceptions towards their physical learning environment and their physical and mental health and verified the reliability. Regression analysis was used to explore the influence of physical environment perception on physical health and mental health perception, as well as the predictive ability of these three factors on learning satisfaction. The results of this study provide researchers and educators with insight into learners' perceptions of the physical learning environment and their physical and mental health under COVID-19 and offer suggestions for improving distance-learning satisfaction.

A Study on Use of Mathematical Programs for Design of Electronic Circuits in Cybernetic-Physical Learning Environment

The laboratory work holds a great importance for an undergraduate student of science. And during COVID -19 pandemic, when the theory classes were moved online, migrating practical classes to online mode turned out to be a challenging task. This article aims to study the use of mathematical programs as an extensive methodological approach to enhance the learning of electronic circuit designing at undergraduate level. The students were given a task of designing a well-known oscillator circuit using a mathematical program written in open source application Scilab. The values of all the components needed to design an oscillator were calculated. The circuit was then designed practically for various frequencies using the theoretically obtained component values. The obtained output frequency of oscillator circuit was within 5% variation to the theoretically obtained one. In this article, the authors captured the experience of 500 undergraduate science students studying at various colleges of University of Delhi, India via a valid online questionnaire circulated through different platforms. The response of the students was gauged and it could be inferred that mathematical programs are working as a decent replacement during these demanding times and can be used as an add-on, once the physical labs start operating back to normalcy.