جست‌وجوی استاد و پژوهشگر

April L. Zeniskyمشاهده پروفایل

استاد پژوهشی

• Psychometrics
• Large-Scale Assessment
• Computer-Based Testing
• +۴ مورد دیگر

April L. Zenisky is a Research Professor and Director of Computer-Based Testing Initiatives at the Center for Educational Assessment, University of Massachusetts Amherst. She specializes in psychometrics, large-scale assessment, and computer-based testing. Her work focuses on improving test designs, score reporting, and innovative item types for credentialing and educational programs. She leads projects like the Massachusetts Adult Proficiency Tests (MAPT-CCR) and has contributed to NAEP evaluations. Currently, she is the Associate Editor of the International Journal of Testing. Education: B.A. in English and Psychology from Amherst College (1997) Ed.D. in Educational Research from University of Massachusetts Amherst (2004) Research Interests: Dr. Zenisky’s work emphasizes practical applications of psychometric principles to real-world testing challenges, including adaptive testing paradigms, cross-cultural assessment, and actionable score reporting. She advocates for user-centric design in score reports and has pioneered methods for integrating technology into testing environments. Lab/Team: She directs the Center for Educational Assessment, collaborating with institutions globally on large-scale assessment projects. Her team develops tools for validating test designs and improving stakeholder communication of assessment outcomes.

Kylie Gorneyمشاهده پروفایل

استادیار

• Test Security
• Item Response Theory
• Computerized Adaptive Testing
• +۳ مورد دیگر

Kylie Gorney is an Assistant Professor of Measurement and Quantitative Methods in the Department of Counseling, Educational Psychology and Special Education at Michigan State University (MSU). She holds a Ph.D. in Educational Psychology (Quantitative Methods) from the University of Wisconsin-Madison and served as the 2022–23 Harold Gulliksen Psychometric Research Fellow at Educational Testing Service. Her research focuses on test security, item response theory, and computerized adaptive testing (CAT), with publications in leading journals such as British Journal of Mathematical and Statistical Psychology and Psychometrika . Dr. Gorney’s work addresses challenges in maintaining testing integrity, including detecting cheating through methods like answer similarity analysis and response time analysis. She has developed an R package called aberrance for automated detection of aberrant test-taker behavior. Her contributions span both theoretical advancements in psychometrics and practical applications in secure testing environments. Her recent publications (2022–2025) emphasize innovations in CAT algorithms, person-fit statistics, and the integration of response-time data into security frameworks. These studies highlight advancements in detecting item compromise, preknowledge, and test speededness while improving subscore interpretation for polytomous items. Dr. Gorney is affiliated with MSU’s College of Education and maintains an active research agenda bridging statistical theory with real-world testing scenarios. She is accessible via email at kgorney@msu.edu .

Mariana Silvaمشاهده پروفایل

عضو هیئت علمی

• Educational Technology
• Computer Science Education
• Large Language Models (LLMs) in Assessment
• +۳ مورد دیگر

Mariana Silva is a Teaching Associate Professor at the Siebel School of Computing and Data Science , University of Illinois Urbana-Champaign, and CEO of PrairieLearn Inc. She holds a Ph.D. in Theoretical and Applied Mechanics from UIUC (2009). Her research focuses on leveraging educational technologies, such as Large Language Models (LLMs), to enhance computer-based assessments and scalable teaching practices. Silva has taught over 11 courses to 9,000+ students, emphasizing innovations in STEM education. She has pioneered adaptive testing tools and randomized question generators to improve equity and accessibility in large-scale courses. Education : Ph.D., Theoretical and Applied Mechanics, UIUC (2009) M.S., Mechanical Engineering, Federal University of Rio de Janeiro (2003) B.S., Mechanical Engineering, Federal University of Rio de Janeiro (2001) Research Interests : Silva’s work centers on technology-driven education , including automated grading using LLMs, design of adaptive assessment systems, and fostering collaborative learning. She has developed tools like PrairieLearn to streamline teaching workflows while maintaining educational rigor. Awards & Recognition : Scott H. Fisher Computer Science Teaching Award (2022) Rose Award for Teaching Excellence (2022) Multiple “List of Teachers Ranked as Excellent” (2009–2017) Engineering Council Outstanding Advising Award (2014–2019) Labs & Teams : Co-founder of PrairieLearn Inc., which provides open-source platforms for STEM education. She collaborates with interdisciplinary teams to advance educational technologies and testing infrastructure.

Jennifer J. Edmondsمشاهده پروفایل

استاد

• Business Administration
• Management Science
• Operations Management
• +۶ مورد دیگر

Dr. Jennifer J. Edmonds serves as Dean of the School of Business & Digital Media and Professor of Business Administration at Georgian Court University, a position she has held since 2019. Previously, she was Associate Dean at the Sidhu School of Business & Leadership at Wilkes University from 2016-2019 and held various academic positions there from 2004-2019, including Department Chair of the Finance, Accounting & Management Department from 2013-2016. Dr. Edmonds earned her educational credentials from prestigious institutions: PhD in Management Science, Rutgers University, 2004 Master of Business Administration, Rutgers University, 2004 Bachelor of Science in Chemical Engineering, University of Michigan, 1997 Her research spans multiple domains within business and management, with particular expertise in operations management, statistics, and business education technology. Dr. Edmonds has developed innovative frameworks for employee motivation and leadership development, while also contributing to the understanding of how political events impact economic indicators like exchange rates. Her work bridges theoretical concepts with practical business applications, often focusing on the integration of technology in business education and operations. Dr. Edmonds' scholarly output demonstrates a consistent trajectory from technical operations research early in her career toward broader business management applications. Her publications reflect expertise across multiple business disciplines including statistics, operations management, leadership, and business education technology. She has made significant contributions to understanding adaptive testing methodologies, exchange rate dynamics, and the integration of mobile technology in business education. Dr. Edmonds has held significant administrative roles including Director of Graduate Programs at Wilkes University (2018-2019) and Department Chair of the Finance, Accounting & Management Department (2013-2016), demonstrating leadership in academic program development and management. Her career progression from Assistant Professor to Dean reflects her contributions to business education and administration. Early in her career, Dr. Edmonds worked as a Process Engineer at Dow Corning Corporation, providing practical industry experience that informs her academic work in operations management and business administration.

Christine DeMarsمشاهده پروفایل

استاد

• Educational Measurement
• Psychometrics
• Item Response Theory (IRT)
• +۴ مورد دیگر

Christine DeMars is a Professor of Graduate Psychology and Senior Assessment Specialist at James Madison University (JMU), affiliated with the Center for Assessment & Research Services (CARS). She holds a PhD in Measurement and Quantitative Methods from Michigan State University (1998), an M.Ed. in Elementary Education from Arizona State University (1993), and a B.A. in Psychology from Wichita State University (1990). Her research focuses on psychometric methods, including item response theory (IRT), differential item functioning (DIF), equating, and large-scale testing challenges. She teaches courses in IRT and classical test theory and supervises PhD students. As CARS liaison to Cluster 4 (Stewardship and Sustainability) and Communications Studies (SCOM), she advises on assessment design and implementation. Recent work addresses low-stakes testing validity, remote assessment integrity, and pandemic-related testing adaptations. Her publications emphasize methodological rigor and practical applications in educational measurement. Her scholarly contributions include over 50 peer-reviewed articles on topics like response validity, IRT parameter recovery, and DIF detection. Her work bridges theoretical advancements and real-world testing challenges, particularly in addressing examinee motivation, external event impacts, and model misfit implications. She collaborates with institutions to enhance assessment practices through evidence-based strategies. Ms. DeMars is actively involved in professional development, offering workshops on assessment design and psychometric analysis. Her efforts in CARS support institutional learning outcomes and program evaluation initiatives, reflecting her commitment to advancing educational measurement practices.

Kristin Wilmothمشاهده پروفایل

استاد پژوهشی

• Clinical Neuropsychology
• Traumatic Brain Injury
• Concussion Management
• +۳ مورد دیگر

Dr. Kristin Wilmoth is a faculty member at UT Southwestern Medical Center, leading the Concussion, Acquired Brain Injury, and Neurodegeneration (CABIN) Laboratory. She specializes in clinical neuropsychology, focusing on traumatic brain injury (TBI) and concussion, particularly in athletic populations. Her research addresses cognitive and behavioral disorders, recovery trajectories, and neuropsychological assessment tools. Dr. Wilmoth collaborates with institutions like the O’Donnell Brain Institute and Texas Institute for Brain Injury and Repair. Her work spans clinical evaluations, sport-related concussion management, and long-term neurological outcomes in retired athletes. Education: Bachelor’s degree from University of Virginia (highest distinction) PhD and clinical internship in psychology at UT Southwestern Postdoctoral residency in clinical neuropsychology at Medical College of Wisconsin Research interests include: Concussion recovery predictors in adolescents Neurocognitive outcomes in retired NFL players Development of standardized assessment tools (e.g., SWAPS) Psychological factors influencing TBI rehabilitation Her articles focus on topics like post-traumatic stress in concussion recovery, ADHD’s impact on athlete outcomes, and demographic adjustments in cognitive testing. Collaborations emphasize multi-institutional studies on TBI’s long-term effects and sport safety. Dr. Wilmoth’s work bridges clinical practice and research, addressing gaps in TBI assessment and advocating for evidence-based interventions in both clinical and athletic settings.

Russ Cucinaمشاهده پروفایل

استاد

• Medical Informatics
• Genomics
• Healthcare Analytics
• +۴ مورد دیگر

Russ Cucina, MD, MS, is a Professor of Medicine in the Division of Hospital Medicine at the University of California, San Francisco (UCSF). He holds dual roles as Vice President and Chief Health Information Officer for UCSF Health System, overseeing analytics, software infrastructure, and genetic/genomic services. His academic and professional focus integrates clinical informatics, healthcare technology, and genomic medicine to advance patient care and institutional missions. Dr. Cucina's education includes an MD from UC Davis, an MS in Biomedical Informatics from Stanford, and a BA in Molecular and Cell Biology from UC Berkeley. He is board-certified in Internal Medicine. His research interests span electronic health record (EHR) interventions, clinical decision support systems, pharmacogenomics implementation, and healthcare operations optimization. Notable achievements include the 2010 Distinguished Paper Award from the American Medical Informatics Association and the AMDIS Award for clinical informatics excellence. His work emphasizes translating data-driven solutions into actionable clinical practices, such as reducing telemetry overuse and improving discharge processes. Dr. Cucina leads UCSF's genetics/genomics laboratories and strategic partnerships in health IT. He is a vocal advocate for leveraging technology to enhance healthcare quality and accessibility, with a focus on personalized medicine and system-wide informatics advancements.

Yi-Hsin Chenمشاهده پروفایل

استاد

• Educational Measurement
• Psychometrics
• Cognitive Diagnostic Modeling
• +۳ مورد دیگر

Dr. Yi-Hsin Chen is a Professor in the Department of Educational Measurement and Research at the College of Education, University of South Florida (USF), located on the Tampa campus in office EDU 362. Her teaching responsibilities include: EDF 6432: Foundations of Measurement (Online) EDF 6407: Statistical Analysis for Educational Research I (Online) EDF 7439: Item Response Theory EDF 7469: Computer-Based Testing EDF 7436: Rasch Models Her primary research focuses on cognitive psychometric models including GDINA, LCDM, and DINA, which integrate cognitive attributes into measurement frameworks. She specializes in diagnostic classification modeling, cross-cultural validation of educational constructs, and development of computer-based assessments. Her work bridges theoretical psychometrics with practical applications in mathematics and literacy assessment. Analysis of her recent publications reveals consistent innovation in cognitive diagnostic modeling, particularly in mathematics education (TIMSS, van Hiele geometry), orthographic processing, and cross-cultural validation. Her research increasingly incorporates computational methods like Bayesian estimation and R programming while addressing emerging challenges such as AI-generated test items. The interdisciplinary nature of her work spans educational psychology, statistics, and international assessment.

Cindy J Nowinskiمشاهده پروفایل

استاد پژوهشی

• Health Services Research
• Clinical Research
• Healthcare Quality
• +۷ مورد دیگر

Cindy J Nowinski, MD, PhD is a Research Professor in the Departments of Medical Social Sciences (Outcome and Measurement Science, Determinants of Health, Implementation Science) and Neurology (Ken and Ruth Davee Department) at Northwestern University Feinberg School of Medicine. She is affiliated with the Institute for Public Health and Medicine (IPHAM) - Center for Patient-Centered Outcomes and the Northwestern University Clinical and Translational Sciences Institute (NUCATS). Dr. Nowinski earned her BS (1982), MA (1986), and PhD (1991) from Loyola University of Chicago, followed by an MD (2000) from Northwestern University Feinberg School of Medicine. Trained as both a clinical psychologist and physician, she brings a unique interdisciplinary perspective to her research. With over 20 years of experience, Dr. Nowinski is a leading expert in developing patient-reported outcome measures and performance-based cognitive assessments for children and adults. Her research focuses on improving health and healthcare quality through standardized outcome measures, with particular emphasis on cognitive aging, neurological conditions (dementia, multiple sclerosis), and digital assessment technologies. She has played central roles in major national initiatives including Neuro-QoL, PROMIS, NIH Toolbox, Mobile Toolbox, and MyCog. Her recent publications reveal a strong emphasis on smartphone-based cognitive screening tools for primary care implementation, machine learning optimization of assessment algorithms, and validation of remote cognitive testing methods. This work demonstrates her commitment to translating research into practical clinical tools that improve early detection of cognitive impairment. Dr. Nowinski has received the Innovations Award from NorthShore University HealthSystem (2007) and holds numerous leadership positions including: Member, Digital Measures: Alzheimer's Disease and Related Dementias Working Group, Digital Medicine Society (2022-Present) Member, Clinical Practice Special Interest Group Working Group on PROMs as Screening Tools, International Society for Quality of Life Research (2020-Present) Associate Editor, Quality of Life Research (2018-2021) Guest Editor, Frontiers in Pediatrics (2019-2022) She maintains active involvement in multiple professional societies including PROMIS Health Organization, Alzheimer's Association ISTAART, Digital Medicine Society, and International Society for Quality of Life Research. Her research is conducted through collaborations focused on implementing digital cognitive assessment tools like MyCog and Mobile Toolbox in diverse clinical settings, with special attention to underserved communities.

Ralph Gonzalesمشاهده پروفایل

استاد

• Implementation Science
• Health Care Value
• Delivery System Re-Design
• +۱۴ مورد دیگر

Ralph Gonzales, MD, MSPH , is Associate Dean for Clinical Innovation and Chief Innovation Officer for UCSF Health at the University of California, San Francisco (UCSF) School of Medicine. He is a leading figure in implementation science, health care value, and antimicrobial stewardship, with a research program that spans clinical informatics, care coordination, and health system redesign. Education: MD (1991) and Residency (1995) from UCSF; MSPH in Preventive Medicine & Biometrics (1997) from University of Colorado Health Sciences Center; completed Diversity, Equity, and Inclusion Champion Training (2019) at UCSF. His research focuses on translating evidence into practice through innovative interventions in antibiotic prescribing, eConsults, telehealth, and care pathway implementation. He has led multiple NIH-funded studies, including the Improving Antibiotic Use in Acute Care Settings and UCSF Learning Health System K12 Career Development Program . His work emphasizes the triple aim of improving quality, outcomes, and reducing costs. Dr. Gonzales’s recent publications (2020–2025) reflect a strong trend in digital health innovation, including EHR-integrated tools for pandemic response, eConsults in genetics and deprescribing, pediatric clinical pathways, and remote monitoring. These works span disciplines such as medical informatics, pediatrics, internal medicine, epidemiology, and health services research , with subfields including clinical decision support, care coordination, antimicrobial stewardship, and health equity. Scientific Awards and Recognition: Principal Investigator on multiple NIH grants, including R01 and K12 awards. Leader in national efforts to combat antimicrobial resistance. Recognized for contributions to implementation science and health system innovation. Advising and Grants: Dr. Gonzales mentors early-career researchers through training programs in implementation science and learning health systems. He has led multidisciplinary teams in community-based trials and health system interventions. His funding history includes significant NIH support for projects focused on antibiotic stewardship, care coordination, and digital health tools. Labs and Teams: He is affiliated with the Center for Health Care Value , UCSF Continuous Process Improvement Site , and the Caring Wisely Initiative . He leads project teams focused on eReferrals, team-based specialty care, and clinical pathway implementation.

Benjamin W. Domingueمشاهده پروفایل

دانشیار

• Psychometrics
• Sociogenomics
• Quantitative Methods
• +۳ مورد دیگر

Benjamin W. Domingue is an Associate Professor at the Graduate School of Education , Stanford University, with affiliations including the Stanford Center on Early Childhood and Policy Analysis for California Education (PACE) . His research bridges psychometrics and sociogenomics , focusing on statistical tools for measuring educational outcomes and integrating genetic data into social science research. Education: PhD in Education, University of Colorado Boulder (Advisor: Derek Briggs, 2012) MA in Mathematics, University of Texas at Austin (Advisor: Uri Treisman, 2006) BS in Mathematics, University of Texas at Austin (2001) His work examines test score properties , response time analysis , and genetic influences on educational attainment . Recent projects include developing the Item Response Warehouse (IRW) resource and analyzing oral reading fluency during the pandemic . Key methodological contributions involve the InterModel Vigorish (IMV) for predictive accuracy and speed-accuracy tradeoffs in real-world settings. Scientific Awards Jacobs Foundation Research Fellow (2022–2024) Outstanding Reviewer for AERA Open (2019, 2018) AERA Division D Quantitative Dissertation Award (2013) Faculty Advising Award (2018–2019) His research spans collaborations with institutions like the University of California, Berkeley, University of Colorado Boulder, and The University of Texas at Austin. He has contributed to genetic moderation studies , item response theory , and healthcare provider behavior through psychometric approaches.

• Educational Measurement
• Statistics
• Testing and Assessment
• +۳ مورد دیگر

Robert Ankenmann is an Associate Professor in the Department of Psychological and Quantitative Foundations at the University of Iowa's College of Education. He is affiliated with the Iowa Testing Programs (ITP) and specializes in Educational Measurement and Statistics. His academic background includes a PhD in Educational Research Methodology from the University of Pittsburgh, alongside degrees from the University of Waterloo and the University of Western Ontario. Ankenmann has received notable awards, including the Collegiate Teaching Award (1998) and recognition for his dissertation (1994). His research focuses on statistical methodologies in educational testing, including differential item functioning (DIF), item response theory (IRT), and assessment design. Education: PhD in Educational Research Methodology, University of Pittsburgh MED in Educational Foundations, University of New Brunswick BED in Secondary Mathematics Education, The University of Western Ontario BMath in Mathematics, University of Waterloo Research interests span educational measurement, psychometrics, and statistical methods applied to testing systems. He has contributed to advancements in computerized adaptive testing (CAT), item exposure control, and validation of performance assessments. His work emphasizes practical applications in K-12 and higher education contexts, often addressing challenges in test design and fairness. Awards highlight his teaching excellence and scholarly contributions. Recent grants include leadership on a GAANN fellowship program (2013-2017) and studies comparing multiple-choice vs. constructed-response assessments (2003-2005). He actively mentors doctoral students in quantitative research methodologies. Ankenmann collaborates with the Iowa Testing Programs (ITP), contributing to large-scale assessment development. His professional affiliations include the National Council on Measurement in Education and the American Educational Research Association.

• American Sign Language Education
• Deaf Education
• Sign Language Recognition
• +۳ مورد دیگر

Kenneth DeHaan is an Associate Professor in the Language, Education, and Culture school at Gallaudet University, specializing in American Sign Language (ASL) education. He teaches advanced courses such as ASL-761 Seminar in Sign Language Education - Professional Preparation and ASL-790 Sign Language Teaching Internship . His research focuses on integrating technology into sign language education, including gesture recognition via wearables, radar-based interactive learning, and accessibility tools for deaf students. He has advised numerous graduate students in ASL education programs. Dr. DeHaan’s work bridges linguistics, computer science, and education, with publications on topics like the Computerized Revised Token Test for ASL assessment and SignQuery , a wearable-sensor-based search engine for sign languages. He has also contributed to initiatives like the Youth Enjoy Science (YES) Academy, promoting STEM access for underserved populations. His teaching spans both undergraduate and graduate levels, including courses on ASL methodology, practicums, and internship preparation. He actively collaborates with researchers in artificial intelligence, wearable technology, and deaf education to advance inclusive learning environments.

Shiyang Suمشاهده پروفایل

دانشیار

• employee well-being
• workplace adaptability
• workplace deviance

Shiyang Su is an Associate Professor in the Industrial/Organizational Psychology program at the University of Central Florida. Her research applies advanced statistical models to study employee well-being, adaptability, and workplace deviance. She directs the Psychometrics Lab and has secured over $1 million in grants from agencies like the Army Research Institute. Education: She holds a Ph.D. in Educational Psychology (Measurement) and an M.S. in Statistics from the University of Minnesota. Research Focus: Her work examines dynamic workplace phenomena, including job insecurity, professional isolation, and work-school conflicts, using longitudinal and machine-learning methods. She develops psychometric tools for precise behavioral measurement. Publications: Recent articles analyze COVID-19's impact on remote work isolation, trajectories of workplace incivility, and adaptive testing for cognitive assessment in healthcare. Her research emphasizes real-world applications in organizational settings. Teaching: She offers courses in research methods, psychometrics, and data analysis, bridging theory with computational approaches.

Gina Biancarosaمشاهده پروفایل

استاد

• Reading Comprehension
• Reading Assessment
• Adolescent Literacy
• +۵ مورد دیگر

Gina Biancarosa holds the Ann Swindells Chair in Education as a Professor in the Department of Special Education and Clinical Sciences within the University of Oregon's College of Education, where she also maintains a courtesy appointment in the Quantitative Research Methods in Education PhD program. Her research at the Center on Teaching and Learning focuses on refining reading comprehension measurement and modeling longitudinal reading growth, leading to significant tools like MOCCA for Grades 3-5 and DIBELS 8th Edition spanning kindergarten through eighth grade. Her educational foundation includes: EdD in Language and Literacy (2006) from Harvard University EdM in Language and Literacy (1999) from Harvard University BA in English Literature (1992, summa cum laude) from Boston College Biancarosa's research centers on reading assessment, comprehension, adolescent literacy, and longitudinal analysis, employing advanced methodologies including hierarchical linear modeling and IRT. She has pioneered diagnostic measures that provide teachers with actionable data, shifting assessment paradigms toward cognitive process evaluation rather than isolated skill metrics. Her work bridges psychometric rigor with classroom applicability, particularly in identifying at-risk readers through subscore analysis and adaptive testing. Recent publications reveal a trajectory toward innovative measurement techniques, including computer-adaptive assessments and pandemic impact studies on reading fluency. Her scholarship consistently addresses the intersection of cognitive theory, measurement science, and practical literacy instruction, with growing emphasis on bilingual contexts and technology-enhanced assessment. Her scientific recognition includes: 2024 Significant Contribution to Educational Measurement Award (AERA) 2023 Outstanding Service Award (UO College of Education) 2021 Distinguished Excellence in Research/Outreach Award 2016 Ann Swindells Chair in Education Spencer Foundation Midcareer Training Grant (2016) Biancarosa has secured over $8 million in external funding from IES, Spencer Foundation, Alaska Department of Education, and Carnegie Corporation, plus $100,000+ in internal grants. She actively mentors doctoral students (seeking new candidates for 2025-2026) and teaches measurement, assessment, and applied statistics courses while serving on editorial boards for top journals including Reading Research Quarterly. Her current lab work at the Center on Teaching and Learning includes validating computer-adaptive MOCCA and developing Alaska Native language literacy screeners, supported by a student research seminar examining national reading trends and DIBELS 8th Edition validation.