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Nevid, Jeffrey S.; Gordon, Alexander J.; Terjesen, Mark D.; Hicks, Ashley – Psychology Learning and Teaching, 2020
The advent of the integrated learning system (ILS) offers instructors opportunities to provide students with feedback-enabled, interactive learning exercises as online supplements to assigned textbooks. Major college publishers are now bundling an ILS with many of their textbook offerings in undergraduate courses in psychology and other fields. We…
Descriptors: Integrated Learning Systems, Computer Assisted Testing, Mastery Learning, Introductory Courses
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Sahin, Melek Gulsah – International Journal of Assessment Tools in Education, 2020
Computer Adaptive Multistage Testing (ca-MST), which take the advantage of computer technology and adaptive test form, are widely used, and are now a popular issue of assessment and evaluation. This study aims at analyzing the effect of different panel designs, module lengths, and different sequence of a parameter value across stages and change in…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Response Theory
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Madsen, Adrian; McKagan, Sarah B.; Sayre, Eleanor C. – Physics Teacher, 2020
Physics faculty care about their students learning physics content. In addition, they usually hope that their students will learn some deeper lessons about thinking critically and scientifically. They hope that as a result of taking a physics class, students will come to appreciate physics as a coherent and logical method of understanding the…
Descriptors: Science Instruction, Physics, Student Surveys, Student Attitudes
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Gyll, Sean P. – AERA Online Paper Repository, 2020
Simulated testing has become more prevalent in higher education, especially as competency-based institutions begin to incorporate micro-credentials and skills certificates into their curriculum. Competency-based assessment falls outside traditional norm-based testing practices used in K-12 education, and is largely focused on criterion referenced…
Descriptors: Competency Based Education, Evaluation Methods, Knowledge Level, Measurement
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)
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Zhengrong Deng; Hong Xiang; Weijun Tang; Hanlie Cheng; Qiang Qin – International Journal of Information and Communication Technology Education, 2024
This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors and determines the number of hidden layer neurons. Experimental results serve as output vectors. The BPNN method proves reasonable and feasible for vocational education…
Descriptors: Partnerships in Education, School Business Relationship, College Students, Vocational Education
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Jacee Cho – Second Language Research, 2024
Using self-paced reading, the present study compared native English and adult L1-Korean-L2-English speakers' processing behaviors during online comprehension of underinformative scalar sentences and non-scalar sentences like "Some/All elephants have trunks and ears." Results indicate that native speakers showed online sensitivity (i.e.…
Descriptors: Native Language, Second Language Learning, Adult Learning, Second Language Instruction
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Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
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Mohammad Hossein Arefian; Rajab Esfandiari – Language Testing in Asia, 2024
Online teacher education programs can be more situated by engaging student teachers in Internet-based collaborative reflection (ICR) and e-learning-oriented assessment (ELOA) via Web 2.0 technology. Thus, this study explored how the role of English-as-a-foreign-language (EFL) student teachers' ICR practices and ELOA can enhance student teachers'…
Descriptors: Electronic Learning, Computer Assisted Testing, Cooperation, Reflection
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Grantee Submission, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Educational Measurement: Issues and Practice, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Kuch, Fred; Roberts, Robin M. – Assessment & Evaluation in Higher Education, 2019
This study sought to determine whether an evaluator conducting electronic course evaluations in person in a classroom increased response rates. At a large public university in the United States, course evaluations were being conducted electronically, attaining a response rate of <50% over several semesters. At the end of the Spring 2015 at this…
Descriptors: Student Evaluation, Computer Assisted Testing, Telecommunications, Handheld Devices
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Lin, Jian-Wei; Lai, Yung-Cheng – Australasian Journal of Educational Technology, 2019
Computer-based assessment (CBA) is an important area of e-learning research. Most studies of CBA technology add new constructs to existing user acceptance models and rarely consider the moderating effects. However, the self-regulation (SR) levels (i.e., high or low) in an e-learning environment substantially affect individual learning behaviour…
Descriptors: Computer Assisted Testing, Adoption (Ideas), Electronic Learning, Self Management
New York State Education Department, 2019
The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2019 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2019…
Descriptors: Grade 6, Grade 7, Grade 8, English
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