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Madison, Guy; Sundell, Knut – Studies in Higher Education, 2024
Sex differences in human performance have been documented across a wide array of human endeavours. Males tend to exhibit higher performance in intellectually demanding and competitive domains, and this difference tends to be more pronounced the higher the level of performance. Here, we analyse publishing performance for the whole population of…
Descriptors: Gender Differences, Productivity, College Faculty, Intellectual Disciplines
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Ditzian, Kyle; Wilder, David A.; King, Allison; Tanz, Jeanine – Journal of Applied Behavior Analysis, 2015
The Performance Diagnostic Checklist-Human Services (PDC-HS) is an informant-based tool designed to assess the environmental variables that contribute to poor employee performance in human services settings. We administered the PDC-HS to 3 supervisors to assess the variables that contributed to poor performance by 4 staff members when securing…
Descriptors: Check Lists, Performance Based Assessment, Environmental Influences, Employees
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Frino, Michael G.; Desiderio, Katie P. – Performance Improvement Quarterly, 2013
The purpose of this study was to examine the impact demographic variables of gender and sales experience have on the performance of business-to-business (B2B) sales professionals. If a deeper understanding can be established of how gender and sales experience variables relate to B2B sales performance, human resource development (HRD) and human…
Descriptors: Predictor Variables, Gender Differences, Age Differences, Educational Attainment
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Memba, Albert Zephaniah; Feng, Zhao Zun – Higher Education Studies, 2016
Many studies conducted on the Higher Education Students Loans Board (HESLB) have mostly concentrated on its success, sustainability and effectiveness on loans issuance and repayment. None had focused on its performance towards human capital investment. This study sought to explain and analyze HESLB's performance in human capital investment, which…
Descriptors: Higher Education, Human Capital, Investment, College Students
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Fontan, Lionel; Ferrané, Isabelle; Farinas, Jérôme; Pinquier, Julien; Tardieu, Julien; Magnen, Cynthia; Gaillard, Pascal; Aumont, Xavier; Füllgrabe, Christian – Journal of Speech, Language, and Hearing Research, 2017
Purpose: The purpose of this article is to assess speech processing for listeners with simulated age-related hearing loss (ARHL) and to investigate whether the observed performance can be replicated using an automatic speech recognition (ASR) system. The long-term goal of this research is to develop a system that will assist…
Descriptors: Assistive Technology, Hearing Impairments, Simulation, Auditory Perception
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Carragher, Daniel J.; Hancock, Peter J. B. – Cognitive Research: Principles and Implications, 2020
In response to the COVID-19 pandemic, many governments around the world now recommend, or require, that their citizens cover the lower half of their face in public. Consequently, many people now wear surgical face masks in public. We investigated whether surgical face masks affected the performance of human observers, and a state-of-the-art face…
Descriptors: Recognition (Psychology), Human Body, COVID-19, Pandemics
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Salem, Alexandra C.; Gale, Robert; Casilio, Marianne; Fleegle, Mikala; Fergadiotis, Gerasimos; Bedrick, Steven – Journal of Speech, Language, and Hearing Research, 2023
Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…
Descriptors: Semantics, Computer Software, Aphasia, Classification
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Waight, Consuelo L.; Greer, Tomika W. – New Horizons in Adult Education & Human Resource Development, 2021
This study aimed to identify behaviors that contribute to adaptive performance (AP) among human resource development (HRD) practitioners. We used self-reported incidents of successes and failures on the job. Using a four-stage data analysis strategy, we analyzed qualitative data from 67 respondents and identified four behaviors that contributed to…
Descriptors: Labor Force Development, Professional Personnel, Vocational Adjustment, Behavior
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Wolla, Scott; Schug, Mark C.; Wood, William C. – Social Education, 2019
Advances in Artificial Intelligence (AI) technology and related fields like robotics have made it possible that automated systems will reach and then exceed human performance on more and more tasks. The affected fields span the economy, from health and education to energy and the environment. In this article, the authors define AI and provide some…
Descriptors: Artificial Intelligence, Robotics, Automation, Economic Impact
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Jyoti, Jeevan; Rani, Roomi; Gandotra, Rupali – International Journal of Educational Management, 2015
Purpose: The purpose of this paper is to examine the mediating effect of emotional exhaustion (EE) in between bundled high-performance human resource practices (HPHRPs) and intention to leave (ITL) in the education sector. Design/methodology/approach: A survey questionnaire method was used to collect data from a sample of 514 teachers working in…
Descriptors: Human Resources, Fatigue (Biology), Teacher Persistence, Teacher Burnout
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Nawa, Nobutoshi; Numasawa, Mitsuyuki; Yamaguchi, Kumiko; Morita, Ayako; Fujiwara, Takeo; Akita, Keiichi – Anatomical Sciences Education, 2023
Although medical students learn human anatomy within a social network of friends/classmates, limited research has examined how social network structure is related to student's performance in human anatomy examinations. This study aimed to examine the association between centrality (i.e., the degree to which a student is connected to other students…
Descriptors: Social Networks, Medical Students, Academic Achievement, Anatomy
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Adlof, Lauren; Kim, Minkyoung; Crawley, William – TechTrends: Linking Research and Practice to Improve Learning, 2023
Undergraduate student retention is considered a critical issue in higher education, due to its impact on student success, degree completion, and the financial health of universities (Cataldi et al., 2018; Cornelius & Cavanaugh, 2016; Hermes, "Community College Journal," 82(4), 26, 2012; Tinto, "NACADA Journal," 19(2), 5-9,…
Descriptors: Undergraduate Students, School Holding Power, Performance Technology, Academic Achievement
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Ormerod, Christopher; Lottridge, Susan; Harris, Amy E.; Patel, Milan; van Wamelen, Paul; Kodeswaran, Balaji; Woolf, Sharon; Young, Mackenzie – International Journal of Artificial Intelligence in Education, 2023
We introduce a short answer scoring engine made up of an ensemble of deep neural networks and a Latent Semantic Analysis-based model to score short constructed responses for a large suite of questions from a national assessment program. We evaluate the performance of the engine and show that the engine achieves above-human-level performance on a…
Descriptors: Computer Assisted Testing, Scoring, Artificial Intelligence, Semantics
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Gawlik-Kobylinska, Malgorzata – Interactive Learning Environments, 2023
The Proteus effect of exergames has been widely regarded as a factor that influences human performance and learning. Within the context of security and defense exergames, identification with a digital alter-ego affects students' task performance as well as their emotional states. In the present study, we examined the influence of the perceived…
Descriptors: Computer Games, Computer Simulation, Physical Fitness, Masculinity
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Bowe, Melissa; Sellers, Tyra P. – Journal of Applied Behavior Analysis, 2018
The Performance Diagnostic Checklist-Human Services (PDC-HS) has been used to assess variables contributing to undesirable staff performance. In this study, three preschool teachers completed the PDC-HS to identify the factors contributing to four paraprofessionals' inaccurate implementation of error-correction procedures during discrete trial…
Descriptors: Performance, Check Lists, Preschool Teachers, Paraprofessional School Personnel
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