AI-Enabled E-Recruitment Services Make Job Searching, Application Submission, and Employee Selection More Interactive

2021 ◽  
Vol 34 (4) ◽  
pp. 48-68
Author(s):  
Xuhui Wang ◽  
Md Jamirul Haque ◽  
Wenjing Li ◽  
Asad Hassan Butt ◽  
Hassan Ahmad ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Employee Selection ◽  
Job Applicants ◽  
Personnel Recruitment ◽  
Novel Approach ◽  
Job Application ◽  
The Individual ◽  
Recruitment And Selection ◽  
Job Searching

Personnel recruitment and selection is changing rapidly with the adoption of artificial intelligence (AI) tools. This chapter looks at how job applicants perceive AI in recruitment. The results show that AI tools encourage a larger number of quality application submissions and for two reasons. First, AI entrains a perception of a novel approach to job searching. Second, AI is perceived to be able to interactively tailor the application experience to what the individual applicant expects and has to offer. These perceptions increase the likelihood the user will submit a job application and so improves the size and quality of the pool from which to recruit personnel.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

AI Magazine ◽  
2012 ◽  
Vol 34 (1) ◽  
pp. 10 ◽  
Author(s):  
Steve Kelling ◽  
Jeff Gerbracht ◽  
Daniel Fink ◽  
Carl Lagoze ◽  
Weng-Keen Wong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Feedback Loop ◽  
Human Computation ◽  
Computational Power ◽  
Learning Networks ◽  
Learning Network ◽  
Computer Learning ◽  
The Individual ◽  
Citizen Science Project

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network, whose core is an active learning feedback loop between humans and machines that dramatically improves the quality of both, and thereby continually improves the effectiveness of the network as a whole. In this paper we explore how Human-Computer Learning Networks can leverage the contributions of a broad recruitment of human observers and processes their contributed data with Artificial Intelligence algorithms leading to a computational power that far exceeds the sum of the individual parts.

Artificial Intelligence Assisted Learning (AIAL) Blueprint

2020 ◽  
pp. 317-338
Author(s):  
Alexiei Dingli ◽  
Lara Caruana Montalto
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Assembly Line ◽  
Industrial Revolution ◽  
Quality Of Teaching ◽  
The Moment ◽  
The Individual ◽  
Case Basis

Education is facing various challenges at the moment and needs to be reinvented. Some of the methods used have been inspired by the industrial revolution when an assembly line one-size-fits-all approach was setup in schools. Today, teachers are struggling to manage the number of students in a class thus making the quality of teaching inconsistent. Furthermore, they have to deal with students having different abilities in the same class which makes it impossible to give each and every student the individual attention they deserve. Through the artificial intelligence assisted learning (AIAL) system, the authors believe that they can personalise the learning and thus free a lot of time for the teacher which can be used to focus on those students that are really in need. This will be done on a case by case basis, thus creating a fairer educational system which is personalized for the needs of each and every student which guarantees equity.

scholarly journals Elicitation as a Multilayered Process

2018 ◽  
Vol 17 (1) ◽  
pp. 160940691879701 ◽  
Author(s):  
Emma K. Tsui ◽  
Emily Franzosa
Keyword(s):  
Data Collection ◽  
Individual Interview ◽  
Novel Approach ◽  
Shared Authority ◽  
Interview Training ◽  
The Individual ◽  
The Way

This article describes a novel approach to reciprocal peer interviewing in which participants interview one another sequentially, allowing each the space of a full interview to articulate her experiences and reflections. This structure of data collection offers a new conceptualization of the way that elicitation functions; not just as a process inside of an interview, but one that is also shaped by factors preceding and outside of the individual interview, a process we call “meta-elicitation.” We argue that this form of reciprocal peer interviewing offers a view of the emic that is both participant-led and uniquely balanced between collective and individual perspectives. However, we also argue that shared authority and rapport are actively, and not always successfully, negotiated in such interviews. To prepare participants for peer interviewing, we hosted a 1-day workshop involving interview training, planning, and the recording of interviews. To maximize quality of such projects, we recommend that external researchers consider carefully (1) the balance of structure and flexibility in designing the workshop and interviews, (2) thorough preparation of participants, and (3) the role of meta-elicitation dynamics during analysis.

THE INFLUENCE OF THE RECRUITMENT PROCESS "EMPLOYEE HIRING" ON THE ORGANIZATIONAL CULTURE

2021 ◽  
pp. 9-15
Author(s):  
Tatiana G. Zhamkova ◽  
Ekaterina V. Babeshkova
Keyword(s):  
Organizational Culture ◽  
Great Influence ◽  
Individual Characteristics ◽  
Value Orientations ◽  
Highly Qualified ◽  
Recruitment Process ◽  
Organizational Goals ◽  
Personnel Recruitment ◽  
The Individual ◽  
Recruitment And Selection

Modern conditions leave an imprint on the interaction of the organization's employees, and consequently on the company's organizational culture. Individual characteristics of employees, in particular their value orientations, have a great influence on the stability of basic principles shared by the employees. An employee in an organization should be not only a professional in his field, but also be able to perceive the organizational culture and accept its changes if necessary. One of the main factors on which the quality of personnel depends is employee hiring. It is at this stage that the expectations of the individual and the ones of the organization regarding each other can be joined in order to prevent possible conflicts in the future. A competent recruitment and selection concept will give the organization the opportunity to be provided with highly qualified personnel focused on the main organizational goals and values in a timely manner. In this regard, the personnel recruitment process is one of the most significant in the organization. In the course of the research presented in the article, the main priorities of the value orientations for various workers categories – workers, employees, managers were identified. Based on the analysis, the authors formulate the conclusions on existence of certain organizational problems that arise as a result of the discrepancy between the value orientations of an individual employee and the organizational culture of the company as a whole. Based on the results of the identified problems, the authors give recommendations regarding organizing the recruitment procedure in order to provide the company with the maximum number of employees who will share the main organizational values, without putting their own opposite values as a counterbalance to them, since the strength of the organizational culture depends on it.

Instructor Performance Prediction Model Using Artificial Intelligence for Higher Education Systems

2021 ◽  
Author(s):  
Shuping Xiao ◽  
A. Shanthini ◽  
Deepa Thilak
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Decision Making ◽  
Prediction Model ◽  
Education Systems ◽  
Higher Education Systems ◽  
Routine Tasks ◽  
Instructor Performance ◽  
The Individual

Recent advancements in Artificial Intelligence techniques, including machine learning models, have led to the expansion of prevailing and practical prediction simulations for various fields. The quality of teachers’ performance mainly influences the quality of educational services in universities. One of the major challenges of higher education institutions is the increase of data and how to utilize them to enhance the academic program’s quality and administrative decisions. Hence, in this paper, Artificial Intelligence assisted Multi-Objective Decision-Making model (AI-MODM) has been proposed to predict the instructor’s performance in the higher education systems. The proposed AI-assisted prediction model analyzes the numerical values on various elements allocated for a cluster of teachers to evaluate an overall quality evaluation representing the individual instructor’s performance level. Instead of replacing teachers, AI technologies would increase and motivate them. These technologies would reduce the time necessary for routine tasks to enable the faculty to focus on teaching and analysis. The usage for administrative decision-making of artificial intelligence and associated digital tools. The experimental results show that the suggested AI-MODM method enhances the accuracy (93.4%), instructor performance analysis (96.7%), specificity analysis (92.5%), RMSE (28.1 %), and precision ratio (97.9%) compared to other existing methods.

scholarly journals Dual Quaternion Embeddings for Link Prediction

2021 ◽  
Vol 11 (12) ◽  
pp. 5572
Author(s):  
Liming Gao ◽  
Huiling Zhu ◽  
Hankz Hankui Zhuo ◽  
Jin Xu 
Keyword(s):  
Artificial Intelligence ◽  
Link Prediction ◽  
State Of The Art ◽  
Knowledge Graph ◽  
Dual Quaternion ◽  
Novel Approach ◽  
Quaternion Space ◽  
Knowledge Graphs ◽  
Low Dimensional

The applications of knowledge graph have received much attention in the field of artificial intelligence. The quality of knowledge graphs is, however, often influenced by missing facts. To predict the missing facts, various solid transformation based models have been proposed by mapping knowledge graphs into low dimensional spaces. However, most of the existing transformation based approaches ignore that there are multiple relations between two entities, which is common in the real world. In order to address this challenge, we propose a novel approach called DualQuatE that maps entities and relations into a dual quaternion space. Specifically, entities are represented by pure quaternions and relations are modeled based on the combination of rotation and translation from head to tail entities. After that we utilize interactions of different translations and rotations to distinguish various relations between head and tail entities. Experimental results exhibit that the performance of DualQuatE is competitive compared to the existing state-of-the-art models.

Semi-automated methods for 3-D reconstruction of macromolecular complexes

1995 ◽  
Vol 53 ◽  
pp. 42-43
Author(s):  
B. Carragher ◽  
M. Whittaker
Keyword(s):  
Three Dimensional ◽  
Time Saving ◽  
Macromolecular Complexes ◽  
Symmetry Properties ◽  
Dimensional Reconstruction ◽  
Experienced Operator ◽  
Projection Images ◽  
The Individual ◽  
Natural Symmetry

Techniques for three-dimensional reconstruction of macromolecular complexes from electron micrographs have been successfully used for many years. These include methods which take advantage of the natural symmetry properties of the structure (for example helical or icosahedral) as well as those that use single axis or other tilting geometries to reconstruct from a set of projection images. These techniques have traditionally relied on a very experienced operator to manually perform the often numerous and time consuming steps required to obtain the final reconstruction. While the guidance and oversight of an experienced and critical operator will always be an essential component of these techniques, recent advances in computer technology, microprocessor controlled microscopes and the availability of high quality CCD cameras have provided the means to automate many of the individual steps.During the acquisition of data automation provides benefits not only in terms of convenience and time saving but also in circumstances where manual procedures limit the quality of the final reconstruction.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Manageable Self in the Early Hellenistic Era

2010 ◽  
Vol 39 (2) ◽  
pp. 34-36
Author(s):  
Vaia Touna
Keyword(s):  
Social Economic ◽  
Ancient Greece ◽  
The Self ◽  
Hellenistic Period ◽  
Political Conditions ◽  
The Individual

This paper argues that the rise of what is commonly termed "personal religion" during the Classic-Hellenistic period is not the result of an inner need or even quality of the self, as often argued by those who see in ancient Greece foreshadowing of Christianity, but rather was the result of social, economic, and political conditions that made it possible for Hellenistic Greeks to redefine the perception of the individual and its relationship to others.

Reflecting the Sky in Water

2017 ◽  
Vol 3 (1) ◽  
pp. 112-126 ◽  
Author(s):  
Ilaria Cristofaro
Keyword(s):  
The Unconscious ◽  
Related Case ◽  
Quality Of Water ◽  
Fluid Properties ◽  
Phenomenological Perspective ◽  
Auto Ethnography ◽  
The Individual ◽  
Artificial Water ◽  
Land Water

From a phenomenological perspective, the reflective quality of water has a visually dramatic impact, especially when combined with the light of celestial phenomena. However, the possible presence of water as a means for reflecting the sky is often undervalued when interpreting archaeoastronomical sites. From artificial water spaces, such as ditches, huacas and wells to natural ones such as rivers, lakes and puddles, water spaces add a layer of interacting reflections to landscapes. In the cosmological understanding of skyscapes and waterscapes, a cross-cultural metaphorical association between water spaces and the underworld is often revealed. In this research, water-skyscapes are explored through the practice of auto-ethnography and reflexive phenomenology. The mirroring of the sky in water opens up themes such as the continuity, delimitation and manipulation of sky phenomena on land: water spaces act as a continuation of the sky on earth; depending on water spaces’ spatial extension, selected celestial phenomena can be periodically reflected within architectures, so as to make the heavenly dimension easily accessible and a possible object of manipulation. Water-skyscapes appear as specular worlds, where water spaces are assumed to be doorways to the inner reality of the unconscious. The fluid properties of water have the visual effect of dissipating borders, of merging shapes, and, therefore, of dissolving identities; in the inner landscape, this process may represent symbolic death experiences and rituals of initiation, where the annihilation of the individual allows the creative process of a new life cycle. These contextually generalisable results aim to inspire new perspectives on sky-and-water related case studies and give value to the practice of reflexive phenomenology as crucial method of research.

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