Behavioral Patterns
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2022 ◽  
Vol 20 (4) ◽  
pp. 582-589
Paulo Cesar Buttenbender ◽  
Eduardo Goncalvez de Azevedo Neto ◽  
Wesllei Felipe Heckler ◽  
Jorge Luis Victoria Barbosa

2022 ◽  
Vol 19 (3) ◽  
pp. 131-145
V. V. Markhinin

The paper analyzes the ideas of H. Neville’s philosophical novel “The Isle of Pines”. The scope of the research is to make sense of its place within the context of Early Modern political philosophy, and especially its linkage with the Hobbesian theories of human nature, sovereignty and inevitable conflict engaging pre-political communities into bellum omnium contra omnes. Rethinking Hobbesian views on the natural state Neville replaces his mechanical interpretation of human’s passions and behavioral patterns with a historical perspective. Taking into his account contemporary ethnographical knowledge Neville set a mental experiment and found out that a Hobbesian trap before the emergence of a state was not inevitable as well as the lack of social norms. We argue that Neville’s novel was an attempt to escape Hobbesian pessimism and to describe the emergence of social and political structures as a historical and evolutionary proces

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Weiwei Yan ◽  
Wanying Deng ◽  
Xiaorui Sun ◽  
Zihao Wang

PurposeThis paper aims to explore question and answer (Q&A) participation and behavioral patterns on academic social networking sites (ASNSs) from the perspective of multiple subjects such as academic, corporate and government institutions.Design/methodology/approachFocused on the Q&A service of ASNSs, this study chooses ResearchGate (RG) as the target ASNS and collects a large-scale data set from it, involving a sample of users and a Q&A sample about academic, corporate and government institutions. First, it studies the law of Q&A participation and the distribution of the type of user according to the sample of users. Second, it compares question-asking behavior and question-answering behavior stimulated by questions among the three types of institutions based on the Q&A sample. Finally, it discusses the Q&A participation and behavioral patterns of the three types of institutions in academic Q&A exchanges with full consideration of institutional attributes, and provides some suggestions for institutions and ASNSs.FindingsThe results show that these three types of institutions generally have a low level of participation in the Q&A service of RG, and the numbers of questions and answers proposed by institutional users conform to the power-law distribution. There are differences in Q&A participation and Q&A behavioral patterns among academic, corporate and government institutions. Government and academic institutions have more users participating in the Q&A service and their users are more willing to ask questions, while corporate institutions have fewer users who participate in the Q&A service and their users are inclined to provide answers. Questions from corporate institutions attract much more attention than those from the other two types of institutions.Originality/valueThis study reveals and compares the Q&A participation and the behavioral patterns of the three types of institutions in academic Q&A, thus deepening the understanding of the attributes of institutions in the academic information exchange context. In practice, the results can help guide different institutions to use the Q&A service of ASNSs more effectively and help ASNSs to better optimize their Q&A service.

Information ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 29
Hameed AlQaheri ◽  
Mrutyunjaya Panda

This paper focuses on the study of automated process discovery using the Inductive visual Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms to produce a valid process model for educational process mining in order to understand and predict the learning behavior of students. These models were evaluated on the publicly available xAPI (Experience API or Experience Application Programming Interface) dataset, which is an education dataset intended for tracking students’ classroom activities, participation in online communities, and performance. Experimental results with several performance measures show the effectiveness of the developed process models in helping experts to better understand students’ learning behavioral patterns.

2022 ◽  
Vol 23 (4) ◽  
pp. 920-928
O. V. Filippenko

The research featured special reports from the Tomsk Department of State Security about the “anti-Soviet” protest movement of Tomsk deportees in the first months after Joseph Stalin's death. The analysis revealed how the deportees adapted to the authority demands and imitated their loyalty to the system, even when the regime positions was clearly weakened. The author analyzed the sanctions imposed on the deportees and the behavior of the local punitive officials, who received no instructions from Moscow. Most likely, the “anti-Soviet” behavior was not so much a purposeful protest as an irrational reaction to such an extraordinary event as Joseph Stalin's death. The responsive actions of the Regional Department of State Security did not follow the new course of Soviet policy but rather the behavioral patterns formed during the Stalin era: violators were identified and punished severely and demonstratively.

2022 ◽  
pp. 073563312110622
Sinan Hopcan ◽  
Elif Polat ◽  
Ebru Albayrak

The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students’ behavioral patterns in pair programming. The participants of the study consist of 14 students, seven pairs enrolled in a Programming Languages course. The findings indicate that there are significant behavioral learning sequences. During the program development process, students hesitated to create an algorithm and to improve an existing one while proposing the next step. In addition, they constantly waited for approval. Collaborative behaviors such as giving and receiving feedback and helping other partners were less observed in females. In addition, significant sequential driver and navigator behaviors were presented. The findings of the study have important implications for instructors and designers when using a pair programming approach in teaching programming. In the future, programming instruction environments can be designed by considering the learner behaviors that are presented in this study.

2022 ◽  
Vol 12 (1) ◽  
pp. 471
Sang Kuy Han ◽  
Keonwoo Kim ◽  
Yejoon Rim ◽  
Manhyung Han ◽  
Youngjeon Lee ◽  

By virtue of their upright locomotion, similar to that of humans, motion analysis of non-human primates has been widely used in order to better understand musculoskeletal biomechanics and neuroscience problems. Given the difficulty of conducting a marker-based infrared optical tracking system for the behavior analysis of primates, a 2-dimensional (D) video analysis has been applied. Distinct from a conventional marker-based optical tracking system, a depth image sensor system provides 3-D information on movement without any skin markers. The specific aim of this study was to develop a novel algorithm to analyze the behavioral patterns of non-human primates in a home cage using a depth image sensor. The behavioral patterns of nine monkeys in their home cage, including sitting, standing, and pacing, were captured using a depth image sensor. Thereafter, these were analyzed by observers’ manual assessment and the newly written automated program. We confirmed that the measurement results from the observers’ manual assessments and the automated program with depth image analysis were statistically identical.

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