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Providing operational approach to end-users' motivational tendencies in housing facilitates user-centered approach enhancing person-environment congruence. The operational approach is highly critical in case of inaccessibility of end-users in decision making, i.e. mass housing. Therefore, this study aims at explaining end-users' housing motivations from their housing attributes preferences, through a theoretical framework developed based on Maslow's theory. The investigation was carried out by using a self-administered questionnaire conducted on 127 Iranian postgraduate students of Universiti Teknologi Malaysia, and their spouse who lived alongside them. They were selected from those who lived more than one year in mass housing apartments in Malaysia. Using exploratory factor analysis, the housing attributes preferences were analyzed to underlie the latent structure and relations among them; the extracted factors were also labeled based on the different level of needs. Then, conducting one sample t-test hierarchical tendencies among the different motivational factors were identified. Referring to Maslow's theory to explain the concept and characteristics of housing needs results in identification of two different categories of housing attributes in association with the different level of needs. Accordingly, primary levels of needs that associate with relatively tangible and concrete attributes are more likely to be content-specific and predictable. The higher levels of needs that associate with relatively complicated and abstract attributes are more likely to be problematical, confusing, and non-predictable.

This study aims to develop a photo-based methodology to identify occupants' collaborative image of the energy-efficient small-size housing.

Employing qualitative and quantitative approaches, 24 photos were randomly selected from different urban areas of Brisbane (Australia) city for an online survey. A total of 36 participants evaluated the photos 159 times.

Conducted content analysis resulted in the identification of 5 attribute-based factors, generated from 16 semantic categories and 74 attributes. Using a non-parametric Chi-square test, the factors were categorised in two levels, i.e. (1) envelope elements (primary and secondary) and passive climatic principles; and (2) architectural composition principles and neighbourhood quality.

The discussion on the results via the theory of planned behaviour (TPB) suggests that regarding the external aspects, the people's image of energy-efficient housing could be influenced by their perceived control over changeable and adjustable attributes.

The photo-based methodology developed by this paper has the potential to quantify occupants' collaborative image of small-size housing energy efficiency, which would be essential in assisting them to adjust their dwelling units regarding the congruity of the energy efficiency attributes with their preferences.

Regarding the contribution of Australian small-size housing in the enhancement of total energy consumption of the country and the roles of the occupants’ preferences in successful implementation of action plans, the purpose of this study is to identify the Australian occupants’ collaborative image of housing energy efficiency. The two main objectives are, therefore, to address the main energy-related housing physical factors that have the potential in representing the housing image of Australian occupants and to explain the causal factors that make the physical factors critical to their energy efficiency perception.

This study has been developed through a qualitative approach. Given that the images encompass a wide range of information expressing human perceptions, an online photo-based qualitative survey was developed based on previous research works. The survey includes respondents’ demographic profiles and the evaluation of images, asking for their perception of overall housing energy efficiency, the impacts of building envelope physical attributes on the energy efficiency of the houses and the reasons behind the selection of different attributes.

This study has developed a set of attribute-based factors, explaining occupants’ collective perception of energy efficient small-size housing of Brisbane in the area of exterior aspects of the buildings. Specifically, the collaborative image of small-size housing of Brisbane is about the thermal performance of the buildings provided through passive climatic principles by using more efficient envelope features, e.g. material, colour, transparency, texture, openings, balconies and shadowing devices, while ignoring the impacts of architectural composition principles along neighbourhood quality. The key attributes in assessing the small-housing energy efficiency are ventilation, thermal performance and shadowing. The housing images in old traditional architectural style with rural face, built by stone, brick and concrete in high dense vegetation were evaluated to be more energy efficient than those with modern architecture, built by large glass panel and metal cladding with light or no vegetation.

The main limitation of the paper is related to the nature of an image-based survey, which leads to ignoring some aspects of real spaces such as odour, temperature and noise.

This research has the potential for developing a practical methodology for assessing housing-resident fit using computer-based methodology and neural networks.

This research has the potential for developing a methodology, assisting the end users in meeting their desires and motivations by helping them in assessing how a housing unit fits with their expectations and preferences.

This research provides a reliable conceptual platform for dealing with the complexity of occupants’ housing perceptions. This is achieved by establishing a collective conceptual picture of these environmental perceptions, namely, housing image, which is a platform for transferring abstract data related to human perception into measurable and quantitative scales.

The pandemic's health and social issues have significantly altered the character and manner of teaching and learning in higher education across the country. The use of technology to replace or integrate face-to-face learning with online learning has become a necessary requirement for promoting and continuing learning processes. Furthermore, integrating technology is a goal of Sustainable Development Goal 4 (SDG 4) to make teaching and learning more innovative and sophisticated. This paper is based on a systematic review grounded in a synthesis of research papers and documents analyzing the current status of teachers' pedagogy through online learning modes in the context of Pakistan.

Through content analyses of academic studies in higher education and reflection on the online teaching experiences, this study discusses how students' learning is associated with teachers' teaching approaches in the modern era of digitalization and innovation.

The review and analysis suggest that online teaching is not viewed as an innovative phenomenon; rather, teachers simply teach their traditionally designed face-to-face courses through the use of technology. The paper suggests that transforming teachers' pedagogical insight to make online learning sustainable is an urgent need for higher education.

The analysis provides a basis for consideration of teacher learning and quality education (SDG #4) to fulfill the nation’s agenda for sustainable development. The analysis helps educators and administrators in higher education institutions reflect on their policies and practices that have short- and long-term effects on students' learning outcomes.