Results 41 to 50 of about 785,694 (353)

Preferences and skills of Indian public sector teachers [PDF]

, 2012
With a sample of 700 future public sector primary teachers in India, a Discrete Choice Experiment is used to measure job preferences, particularly regarding location. General skills are also tested.
AV Banerjee, D Boyd, D Boyd, D McFadden, DJ Street, E Duflo, E Duflo, E Lancsar, EA Hanushek, G Kingdon, G Kingdon, G Ratcliff, H Cho, J Bourdon, J De Laat, J Huber, J Metzler, JL Lusk, JR Kolstad, K Hanson, K Muralidharan, K Muralidharan, KM Chomitz, L Beaman, L Mangham, L Mangham, L Penn-Kekana, LL Thurstone, M Kremer, M Lagarde, M Rosselli, N Hanley, P Atherton, P Glewwe, P Serneels, P Serneels, PA Diamond, R Banerji, R Guttman, R Sharma, S Bhattacharjea, S Godiyal, S Goyal, S Rawal, T Béteille, T Dee, T Dee, V Ramachandran, W Adamowicz, WHO   +49 more
core   +3 more sources

Gender equity in hiring: examining the effectiveness of a personality-based algorithm

Frontiers in Psychology, 2023
IntroductionGender biases in hiring decisions remain an issue in the workplace. Also, current gender balancing techniques are scientifically poorly supported and lead to undesirable results, sometimes even contributing to activating stereotypes.
Emeric Kubiak, Maria I. Efremova, Maria I. Efremova, Simon Baron, Keely J. Frasca   +4 more
doaj   +1 more source

A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring

Applied Informatics
The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, it is
Elham Albaroudi, Taha Mansouri, Ali Alameer   +2 more
semanticscholar   +1 more source

Assessing scientists for hiring, promotion, and tenure

PLoS Biology, 2018
Assessment of researchers is necessary for decisions of hiring, promotion, and tenure. A burgeoning number of scientific leaders believe the current system of faculty incentives and rewards is misaligned with the needs of society and disconnected from ...
D. Moher, F. Naudet, I. Cristea, F. Miedema, J. Ioannidis, S. Goodman   +5 more
semanticscholar   +1 more source

Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring [PDF]

AAAI/ACM Conference on AI, Ethics, and Society, 2020
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases ...
Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju   +2 more
semanticscholar   +1 more source

Equitable faculty hiring: development and implementation of teaching faculty hiring rubrics

Frontiers in Education
Despite the increasing diversity of undergraduate students in the United States, university faculty demographics, particularly in science, technology, engineering, and mathematics (STEM) fields, remain largely homogeneous, which is problematic for ...
Erik Arevalo, Brian K. Sato, Stanley M. Lo, Stanley M. Lo, Stanley M. Lo, Mike Wilton   +5 more
doaj   +1 more source

Signal Fires: The Use of Diversity Value Signaling in Local Government Job Advertisements Following the Summer of Racial Reckoning

Journal of Social Equity and Public Administration, 2023
Following the events of the summer of 2020, public and private sector organizations have engaged in a variety of actions related to promoting, valuing, and celebrating diversity, equity, and inclusion (DEI).
Xi Chen, Geoffrey Silvera, Jonathan Fisk, Courtney Haun   +3 more
doaj   +1 more source

To Hire or Not to Hire: The Influence of Accents on Hiring Decisions

International Journal of Selection and Assessment
ABSTRACT This study explores how accents influence hiring decisions, focusing on evaluations made by non‐native speakers. A total of 391 Turkish‐speaking university students assessed candidates for tutoring positions for English (a language‐relevant role) and math (a non‐language‐related role).
İrem Kuyucu, Helin Erden, Tuba P. Öztürk, Junko Kanero   +3 more
openaire   +2 more sources

Michael is better than Mehmet: exploring the perils of algorithmic biases and selective adherence to advice from automated decision support systems in hiring

Frontiers in Psychology
IntroductionArtificial intelligence algorithms are increasingly adopted as decisional aides in many contexts such as human resources, often with the promise of being fast, efficient, and even capable of overcoming biases of human decision-makers ...
Astrid Marieke Rosenthal-von der Pütten, Alexandra Sach   +1 more
doaj   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source