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Previous studies described the professional zakat had been limited. Generally, the past authors conducted a quantitative method with general results and did not focus on the behaviour of people who pay the professional zakat. As a result, the purpose of this study is to provide a comprehensive understanding of how the general public can pay their zakat using Bloom’s theory.

This research uses primary data with in-depth interviews from five informants, including civil servants (PNS) and private employees. Spiral analysis was used to analyse the data, arrange it, read it frequently, take brief notes, find categories, interpret and summarise it.

The results show Bloom’s theory can accommodate muzakki’s behaviour by paying professional zakat. It can be seen from the following conclusions: firstly, in the cognitive domain, muzakki’s behaviour of paying the professional zakat was motivated by their memories (experiences), the ability to interpret, the ability to understand the principles of zakat, the ability to understand the relations and the ability to understand the role of zakat from its norms. Secondly, in the affective domain, muzakki’s behaviour in paying the professional zakat was motivated by their ability to receive, give positive value, call others and dare to take risks. Thirdly, in the psychomotor domain, guided practice, mechanised practice and adoption drive muzakki’s behaviour of paying zakat.

This study has limitations regarding the number of samples (informants). In addition, the results of the research are designed to be very subjective so that they cannot be generalised to phenomena that exist in other places and countries that also require zakat in the profession. In the future, the results of this study can be used as a variable development with quantitative methods so that it can involve more samples to get maximum and a broader result.

This research has a valuable managerial impact on the zakat management institutions, particularly in Langsa, Aceh, Indonesia and all zakat institutions worldwide. Therefore, the central government can evaluate the zakat gap through various socialisation activities by promoting the cognitive, affective and psychomotor domains. Socialisation should improve people’s behaviour to pay zakat so that the amount of zakat collected will be higher and will reduce the gap between the potency of zakat and the zakat in reality which has been unequal so far.

This research will contribute to the significant development of zakat in terms of studying the behaviour of muzakki paying the professional zakat. Although the theory of planned behaviour was dominated by previous research, this research reveals other aspects of muzakki behaviour using Bloom’s model by elaborating on cognitive, affective and psychomotor domains.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.