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Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
von Zansen, Anna; Hilden, Raili; Laihanen, Emma – International Journal of Listening, 2022
In this study, we used the Rasch measurement to investigate the fairness of the listening section of a national computerized high-stakes English test for differential item functioning (DIF) across gender subgroups. The computerized test format inspired us to investigate whether the items measure listening comprehension differently for females and…
Descriptors: High Stakes Tests, Listening Comprehension Tests, Listening Comprehension, Gender Differences
Aksu Dunya, Beyza; McKown, Clark; Smith, Everett – Journal of Psychoeducational Assessment, 2020
Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…
Descriptors: Emotional Intelligence, Psychometrics, Test Bias, Computer Assisted Testing
Dunya, Beyza Aksu; McKown, Clark; Smith, Everett – Grantee Submission, 2019
Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…
Descriptors: Emotional Intelligence, Psychometrics, Test Bias, Computer Assisted Testing
Raley, Sheida K.; Shogren, Karrie A.; Rifenbark, Graham G.; Anderson, Mark H.; Shaw, Leslie A. – Journal of Special Education Technology, 2020
The Self-Determination Inventory: Student Report (SDI: SR) was developed to measure the self-determination of adolescents and was recently validated for students aged 13-22 with and without disabilities across diverse racial/ethnic backgrounds. The SDI: SR is aligned Causal Agency Theory and its theoretical conceptualizations of self-determined…
Descriptors: Testing, Self Determination, Scores, Students with Disabilities
Shermis, Mark D.; Mao, Liyang; Mulholland, Matthew; Kieftenbeld, Vincent – International Journal of Testing, 2017
This study uses the feature sets employed by two automated scoring engines to determine if a "linguistic profile" could be formulated that would help identify items that are likely to exhibit differential item functioning (DIF) based on linguistic features. Sixteen items were administered to 1200 students where demographic information…
Descriptors: Computer Assisted Testing, Scoring, Hypothesis Testing, Essays
Smith, William G. – Online Submission, 2008
The purpose of this study was to examine the correlation between online survey non-response and various demographic factors, including gender. Studies have shown that trends exist with regard to who responds to surveys, at least with regard to traditional modes of survey administration. Reports suggest that many demographic and other correlates…
Descriptors: Women Faculty, Statistical Analysis, Sampling, Internet
Sax, Linda J.; Gilmartin, Shannon K.; Lee, Jenny J.; Hagedorn, Linda Serra – Community College Journal of Research and Practice, 2008
This study was designed to examine response rates and bias among a sample of community college students who received a district-wide survey by standard mail or e-mail. Findings suggest that predictors of response and types of responses are not appreciably different across paper and online mail-out samples when these samples are "matched" in terms…
Descriptors: College Students, Response Style (Tests), Response Rates (Questionnaires), Community Colleges
Stricker, Lawrence J.; Wilder, Gita Z.; Bridgeman, Brent – International Journal of Testing, 2006
The aim of this study was to assess test takers' attitudes and beliefs about an admissions test used extensively in graduate schools of business in the United States, the Graduate Management Admission Test (GMAT), and the relationships of these attitudes and beliefs to test performance. A set of attitude and belief items was administered by…
Descriptors: Computer Assisted Testing, Test Wiseness, Gender Differences, Ethnic Groups
Carmo, Mafalda, Ed. – Online Submission, 2015
We are delighted to welcome you to the International Conference on Education and New Developments 2015-END 2015, taking place in Porto, Portugal, from 27 to 29 of June. Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the human being, in the way one thinks, feels and…
Descriptors: Foreign Countries, Educational Development, Educational Change, Educational Trends