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The purpose of this paper is to identify the role of spatial intelligence in predicting the web information searching behavior and performance of high school students.

The population of this study consisted of all female students who were studying in the eighth and ninth grades of Shiraz University School. The students searched an educational website by using keywords to find some answers to two tasks (one simple task and one complex task).

The findings of this study revealed that among the five components of spatial intelligence, the three components of spatial orientation, perceptual speed and flexibility of closure could better predict the web searching behavior and performance of the students. To elaborate, spatial orientation could predict the query length and the search time; perceptual speed was helpful in predicting the reformulation of the question, the number of results pages observed, the number of links viewed, and success; flexibility of closure also predicted the success in the search.

The results of this study can help researchers and others understand the searching behavior and performance of children and the cognitive factors which affect them. The results can also help teachers and school librarians to teach students the necessary skills and design interactive systems that take into account adolescents’ different cognitive approaches. While other studies have focused on adults’ and university students’ behavior, this study examined the adolescents’ behavior. Furthermore, although the previous studies have attempted to investigate just one dimension of the searching process, i.e., either behavior or performance, this study simultaneously focused on both dimensions and examined both searching behavior and performance through keyword searching strategy.

This chapter introduces the concept of an intelligent organization in the context of the twenty-first-century knowledge economy. An intelligent organization is one in which individuals behave intelligently, work is grounded in intelligent methods and choices, and rich stocks of intelligence in the form of knowledge capital to support intelligence work and choices. Intelligence is defined as both a thing and attribute and behavior and way of working. The chapter also highlights examples of intelligent behaviors and or organizational pathologies. The chapter also highlights the importance of becoming aware of intelligent and unintelligent choices.

This case study examined the effects of an enriched environmental language‐accessing programme on an individual with a severe traumatic brain injury (TBI). Using a holistic programme ‐ which involved greetings, singing songs, drawing, painting, word focus, poetry, story retelling, pictorial cards and farewells ‐ the rehabilitation set out to improve the participant's ability to access dormant language. The researcher chose familiar songs, stories and subject areas of interest to the participant.The language programme's daily half‐hour sessions were held for four weeks at a time, with a different theme for each week. Activities were chosen to link into the week's theme. After a two‐week break, the language programme was repeated for consolidation.Data was documented using video, transcription and word‐list collation. These word lists showed which language was accessed without help, with initial prompts and through repetition. Data was analysed by comparing sessions at time one and time two, using the McNemar test for significance of changes for repeated measures. For various sessions the findings showed significant improvements in language production from time one to time two. Compared to the participant's limited language production outside of the programme, the results showed how the participant's speech increased as a result of the rehabilitation.The implications of this case study suggest that a holistic language rehabilitation programme involving an empathetic interlocutor who encourages communication through music, story, familiar topics and art is beneficial to a participant with a severe TBI. Further research repeating the language programme with similar participants would help to generalise these findings.

“Can artificial intelligence produce architectural plan schemes?” discussion is the starting point of this study. The aim of this paper is to question whether this will be a new method in architectural design by producing plans with artificial intelligence interfaces working with human–computer interaction and to create a discussion environment.

The main research topic is the evaluation of architectural design decisions with the text-to-image generation AI algorithms method based on shape grammar rules. First, a sample space consisting of Palladio plans or plan diagrams was created. Plan diagram production experiments were made with different interfaces (Midjourney, Dall-e2, Stable Diffusion, Craiyon, Nightcafe), and alternative plan diagrams were recorded as outputs. The discussion of the outputs has been made over architectural design and space.

In the conceptual design phase of the architectural discipline and in the production of architectural plan scheme, AI algorithms are trending. This interaction imposes a new responsibility on architects. AI can create paradigm shifts in architectural processes with its tools with high data processing potential. On the other hand, in this study, it is emphasized that architecture is not just an act of producing visuals, but a functional act of producing visuals.

The technology is effective in producing architectural plans and directing them to artificial intelligence algorithms. With this study, multi-alternative architectural plan productions were tried with text-to-image bots with fast results. In this direction, a new method proposal has been developed for the conceptual design phase in architecture.

The purpose of this paper is to explore the marketing opportunities for after-school educational services in the Chinese context by examining children’s perceptions of intelligence using visual methodology.

Altogether 30 Chinese children aged 9–12 studying in grades four to six were asked to draw what comes to mind for two statements: “This is an intelligent child” and “This is a child of average intelligence.” After doing the drawings, the children were interviewed face-to-face to answer questions about the personalities and social relationships of the children depicted in the two drawings that they had produced.

A child described as intelligent was imagined wearing glasses, studying hard and obtaining excellent academic results. A child described as of average intelligence was imagined as having many friends, playing a lot and experiencing tension with parents over studies. Participants had a restrictive view of intelligence and associated intelligence with academic success. They endorsed both a growth mindset and a fixed mindset of intelligence. On the one hand, they endorsed a growth mindset of intelligence as they associated intelligence with personal efforts and practices. On the other hand, participants endorsed a fixed mindset of intelligence as they tended to avoid challenges and appeared to be threatened by the success of others. Participants imagined that an intelligent child would experience poor relationships with friends.

The findings were based on a nonprobability small sample. The study did not investigate the socialization process of such perceptions.

Educational services and nonschool activity service providers can position themselves as agents to help students develop meta-analytical skills in embracing challenging tasks. Marketers can develop courses and learning materials that teach children different learning strategies. They can use incentives to encourage persistence and resilience in meeting challenges. This study uncovered the emotional and social needs of intelligent children. A new market segment was identified that targets children with high intelligence. Educational service providers can design curricula and activities to support high-performing children in developing empathy and good communication skills. Educators can assist those who perform well academically to nurture genuine friendships and improve social relations with peers.

The prevalence of the private tutoring industry in the Chinese context may introduce educational disparity, as families with low resources will not be able to afford these services. Nonprofit organizations can provide similar educational services at a low cost to bridge the gap. The narrow view of intelligence expressed by participants, and their lack of awareness of the wide range of types of intelligence, indicates that education service providers can develop the confidence of a child with average intelligence through appreciation of his or her unique talents beyond academic achievements.

This study explores attributes associated with intelligence among Chinese children using an innovative visual method. The marketing implications can apply to other societies where the after-school tuition market is prevalent.

The purpose of this paper is to look into the knowledge‐intensive work that entangles the use of various visual representations such as drawings, CAD images, and scale models. Rather than assuming that knowledge is exclusively residing in the human cognitive capacities, most knowledge‐intensive work integrates a variety of perceptual skills and the use of language.

A case study of a Scandinavian architect bureau, including semi‐structured interviews with architects, design engineers and managers, was conducted.

The study shows that architects mobilize and use a variety of visual representations in their day‐to‐day work. Such visual representations serve a variety of roles and purposes but actually more generally enhance communication between colleagues and external stakeholders. The paper concludes that visuality and visual representations deserve a more adequate analysis in the knowledge management literature.

The paper contributes to an understanding of how visual representations are constitutive of knowledge and central to architect work. Rather than residing in language or being embodied, knowledge is developed through the use of a variety of tools and aids.

Results from high‐stakes tests of intelligence are used everyday to make decisions that impact the lives of individuals and families. Although many clinicians know how to calculate test scores, few have a firm understanding of the construct intelligence, how tests measure intelligence, and more importantly, how results from intelligence tests may be used to develop client specific recommendations and interventions.

Multiple intelligences theory contends that there are multiple “intelligences”, at least seven types of human capacities and abilities, which exist and can be found in each individual in varying degrees. This theory has made a major impact in the educational field, but it also has applications for other types of quality organizations. Businesses can use multiple intelligences theory to structure workshops and training sessions for employees which will enhance teamwork, develop human potential, and foster creativity.

Heritage is the latent part of a sustainable built environment. Conservation and preservation of heritage is one of the United Nations' (UN) sustainable development goals. Many social and natural factors seriously threaten heritage structures by deteriorating and damaging the original. Therefore, regular visual inspection of heritage structures is necessary for their conservation and preservation. Conventional inspection practice relies on manual inspection, which takes more time and human resources. The inspection system seeks an innovative approach that should be cheaper, faster, safer and less prone to human error than manual inspection. Therefore, this study aims to develop an automatic system of visual inspection for the built heritage.

The artificial intelligence-based automatic defect detection system is developed using the faster R-CNN (faster region-based convolutional neural network) model of object detection to build an automatic visual inspection system. From the English and Dutch cemeteries of Surat (India), images of heritage structures were captured by digital camera to prepare the image data set. This image data set was used for training, validation and testing to develop the automatic defect detection model. While validating this model, its optimum detection accuracy is recorded as 91.58% to detect three types of defects: “spalling,” “exposed bricks” and “cracks.”

This study develops the model of automatic web-based visual inspection systems for the heritage structures using the faster R-CNN. Then it demonstrates detection of defects of spalling, exposed bricks and cracks existing in the heritage structures. Comparison of conventional (manual) and developed automatic inspection systems reveals that the developed automatic system requires less time and staff. Therefore, the routine inspection can be faster, cheaper, safer and more accurate than the conventional inspection method.

The study presented here can improve inspecting the built heritages by reducing inspection time and cost, eliminating chances of human errors and accidents and having accurate and consistent information. This study attempts to ensure the sustainability of the built heritage.

For ensuring the sustainability of built heritage, this study presents the artificial intelligence-based methodology for the development of an automatic visual inspection system. The automatic web-based visual inspection system for the built heritage has not been reported in previous studies so far.