This research draws upon the increasing usage of AI in service. It aims at understanding the extent to which AI systems have multiple intelligence types like humans and if these types arouse ...different emotions in consumers. To this end, the research uses a two-study approach: Study 1 builds and evaluates a scale for measuring different AI intelligence types. Study 2 evaluates consumers’ emotional responses to the different AI intelligences. The findings provide a measurement scale for evaluating different types of artificial intelligence against human ones, thus showing that artificial intelligences are configurable, describable, and measurable (Study 1), and influence positive and negative consumers’ emotions (Study 2). The findings also demonstrate that consumers display different emotions, in terms of happiness, excitement, enthusiasm, pride, inspiration, sadness, fear, anger, shame, and anxiety, and also emotional attachment, satisfaction, and usage intention when interacting with the different types of AI intelligences. Our scale builds upon human intelligence against AI intelligence characteristics while providing a guidance for future development of AI-based systems more similar to human intelligences.
Graphical Abstract
This article presents an effort toward a theory of musical intelligence through a somewhat novel combination of Howard Gardner’s theory of multiple intelligences with Robert J. Sternberg’s theory of ...successful intelligence. In particular, musical intelligence involves creative, analytical, practical, and wisdom-based aspects. These components apply to both musical composition and performance and can apply as well to musical understanding and scholarship. In performance, for example, performers devise creative interpretations of composers’ music, analyze their interpretations to ensure they are historically and musically defensible, perform the music in a way that is practical in reaching their audience, and do good in providing their listeners with enjoyment and sometimes new ways of thinking about the world.
The purpose of this study was to examine the impact of inclusive versus traditional science classrooms on eighth-grade students' attitudes towards science through mixed research design. A total of ...121 students from four eighth-grade science classes participated in this study. The experimental group of students (N=61) learned a unit of structure of matter in inclusive science classrooms in which theory of multiple intelligences (MI) was used as a mediator, aligned with the principles of Universal Design for Learning, to differentiate instructional strategies, assessment approaches and types of assignments, incorporating all students' strengths or intellectual profiles, while the control group of students (N=60) learned the same unit in traditional science classrooms. Changes in students' attitudes towards science over the time period (pre-test, post-test, and follow-up) were assessed using a Likert-scale questionnaire and individual interviews. The results of statistical analysis indicated that compared to traditional classroom, inclusive classroom using MI-inspired lessons significantly improved and maintained the students' attitudes towards science. The quantitative results were further supported by evidence from qualitative data gathered through post and follow-up interviews. This study has implications for the nature of inclusive practices in science classrooms concerning the value of students' attitudes towards science.
The use of personalised learning environments (PLEs) and adaptive learning environments (ALEs) in education has increased during the COVID-2019 pandemic. Thus, the need of effective and high-quality ...PLEs and ALEs has emerged but developing such learning environments has some difficulties such as the need for a huge number of qualified e-contents. Generation of e-contents for these systems is a time-consuming and costly process. Moreover, presenting the same e-content for each student is not effective because each student can have different intelligence type. To overcome these problems, low cost, reusable and dynamic e-contents can be used for PLE and ALE systems. For this purpose, fuzzy analytic hierarchy process (FAHP) was used to provide sequenced e-contents for PLE and ALE systems. This proposed system was used in a case study to investigate its impact on learning process. The performance of the proposed study was compared with analytical hierarchy process (AHP), which is another multi-criteria decision-making (MCDM) method, also further statistical analyses were investigated. The results showed that 84.6% of students showed interest in the proposed system, so the FAHP method can be used for presenting personalised e-content effectively.
The paper focuses on validation of a diagnostic tool for identification of naturalist intelligence and science talent at pre-school and early school level (Jančaříková, 2009). The theoretical part ...explains the significance of early identification of science talent and introduces briefly Howard Gardner’s theory of multiple intelligence and naturalist intelligence as the starting point. The empirical part validates the diagnostic tool on the basis of data from 176 completed questionnaires. The reliability of the test is verified using the Cronbach Alpha coefficient and Spearman-Brown formula. The Pearson correlation test confirms a high interdependence of the questions in the diagnostic tool. The Welch variant of the t-test shows that the results depend on neither gender nor age, which can be interpreted as depending on an innate disposition, i.e. science talent. Thus, the diagnostic tool can be used for early identification of science talent.
PurposeThis paper focusses on demonstrating the role of social media engagement and considering emotional intelligence (hereafter EI) as a critical concept to successful employment, mainly when ...individuals fail to reach the desired employment despite “meeting” the role requirements.Design/methodology/approachThe authors adopted a qualitative approach through semi-structured in-depth interviews of some randomly selected university students in the UK, young adults aged 19–32. The participants were selected based on different demographics to provide a broader and less biased representation of young adults in the UK.FindingsThis research suggests that recruitment organisations should introduce the latest requirements and trends of employers to ensure that the expectations of employers and potential candidates are aligned to improve the employment rate in young adults.Originality/valueThis research extends the literature regarding EI in social media engagement and successful employment. It also brings new perspectives on successful employment in young adults by demonstrating the role of social media engagement and EI traits leading to a conceptual framework exploring successful employment based on the role of social media engagement and EI.
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