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Jing Ma – ProQuest LLC, 2024
This study investigated the impact of scoring polytomous items later on measurement precision, classification accuracy, and test security in mixed-format adaptive testing. Utilizing the shadow test approach, a simulation study was conducted across various test designs, lengths, number and location of polytomous item. Results showed that while…
Descriptors: Scoring, Adaptive Testing, Test Items, Classification
Jackson, Kayla – ProQuest LLC, 2023
Prior research highlights the benefits of multimode surveys and best practices for item-by-item (IBI) and matrix-type survey items. Some researchers have explored whether mode differences for online and paper surveys persist for these survey item types. However, no studies discuss measurement invariance when both item types and online modes are…
Descriptors: Test Items, Surveys, Error of Measurement, Item Response Theory
Sebastian Moncaleano – ProQuest LLC, 2021
The growth of computer-based testing over the last two decades has motivated the creation of innovative item formats. It is often argued that technology-enhanced items (TEIs) provide better measurement of test-takers' knowledge, skills, and abilities by increasing the authenticity of tasks presented to test-takers (Sireci & Zenisky, 2006).…
Descriptors: Computer Assisted Testing, Test Format, Test Items, Classification
Ozge Ersan Cinar – ProQuest LLC, 2022
In educational tests, a group of questions related to a shared stimulus is called a testlet (e.g., a reading passage with multiple related questions). Use of testlets is very common in educational tests. Additionally, computerized adaptive testing (CAT) is a mode of testing where the test forms are created in real time tailoring to the test…
Descriptors: Test Items, Computer Assisted Testing, Adaptive Testing, Educational Testing
Anna Caroline Keefe – ProQuest LLC, 2022
Computer-assisted assessment continues to be incorporated into more and more mathematics courses. As this method of testing is used, questions are created to use through computer-assisted assessment. This study analyzed two types of questions used on computer-assisted assessment in Calculus I, II, and III courses. The first question type was…
Descriptors: Psychometrics, Computer Assisted Testing, Technology Integration, Calculus
Binglin Chen – ProQuest LLC, 2022
Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…
Descriptors: College Students, STEM Education, Student Evaluation, Grading
Aaron McVay – ProQuest LLC, 2021
As assessments move towards computerized testing and making continuous testing available the need for rapid assembly of forms is increasing. The objective of this study was to investigate variability in assembled forms through the lens of first- and second-order equity properties of equating, by examining three factors and their interactions. Two…
Descriptors: Automation, Computer Assisted Testing, Test Items, Reaction Time
Qunbar, Sa'ed Ali – ProQuest LLC, 2019
This work presents a study that used distributed language representations of test items to model test item difficulty. Distributed language representations are low-dimensional numeric representations of written language inspired and generated by artificial neural network architecture. The research begins with a discussion of the importance of item…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Models
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
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
Blake Edward Morris – ProQuest LLC, 2024
Aim: This study aimed to describe the practices and perceptions of nurse educators when developing NGN-style test items. Methods: This study used a qualitative descriptive methodology to explore the practices and perceptions of nursing faculty when developing NGN-style test items from nursing faculty in accredited prelicensure programs in the…
Descriptors: Nursing Education, Test Items, Test Construction, Facilitators (Individuals)
Nixi Wang – ProQuest LLC, 2022
Measurement errors attributable to cultural issues are complex and challenging for educational assessments. We need assessment tests sensitive to the cultural heterogeneity of populations, and psychometric methods appropriate to address fairness and equity concerns. Built on the research of culturally responsive assessment, this dissertation…
Descriptors: Culturally Relevant Education, Testing, Equal Education, Validity
Lin, Ye – ProQuest LLC, 2018
With the widespread use of technology in the assessment field, many testing programs use both computer-based tests (CBTs) and paper-and-pencil tests (PPTs). Both the Standards for Educational and Psychological Testing (AERA, APA, & NCME, 2014) and the International Guidelines on Computer-Based and Internet Delivered Testing (International Test…
Descriptors: Computer Assisted Testing, Testing, Student Evaluation, Elementary School Students
Bronson Hui – ProQuest LLC, 2021
Vocabulary researchers have started expanding their assessment toolbox by incorporating timed tasks and psycholinguistic instruments (e.g., priming tasks) to gain insights into lexical development (e.g., Elgort, 2011; Godfroid, 2020b; Nakata & Elgort, 2020; Vandenberghe et al., 2021). These timed sensitive and implicit word measures differ…
Descriptors: Measures (Individuals), Construct Validity, Decision Making, Vocabulary Development
Carroll, Ian A. – ProQuest LLC, 2017
Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into…
Descriptors: Test Items, Computer Assisted Testing, Selection, Adaptive Testing
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