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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
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
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
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
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
Ozdemir, Duygu – International Electronic Journal of Mathematics Education, 2022
Nowadays, mathematics education providing challenging, interesting, interactive and technology-oriented learning experiences to students attracts attention both in research and practice. Among those experiences, competitions, due to their role of integrating the interest and desire of students to compete in education, challenging their potentials…
Descriptors: Student Attitudes, Mathematics Education, Competition, Gifted Education
Nazaretsky, Tanya; Ariely, Moriah; Cukurova, Mutlu; Alexandron, Giora – British Journal of Educational Technology, 2022
Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI-specific misconceptions, myths and fears (e.g., mass unemployment and privacy…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Trust (Psychology)
Bijlsma, Hannah J. E.; Glas, Cees A. W.; Visscher, Adrie J. – School Effectiveness and School Improvement, 2022
Modern digital technologies enable the efficient collection and processing of student perceptions of teaching quality. However, students' ratings could be confounded by student, teacher, and classroom characteristics. We investigated students' ratings of 26 teachers who used the digital tool Impact! in their mathematics lessons with 14- and…
Descriptors: Computer Assisted Testing, Student Attitudes, Teacher Effectiveness, Student Characteristics
Devisakti, A.; Muftahu, Muhammad – International Journal of Information and Learning Technology, 2022
Purpose: The advancement of technology in the last decades transformed the education from mortar and brick into online teaching and learning. It also changed the assessments from paper-based to technology-supported assessments. This study aims to examine how technology support student's online assessments in higher education institutions from…
Descriptors: Educational Technology, Technology Uses in Education, Undergraduate Students, Expectation
Suzumura, Nana – Language Assessment Quarterly, 2022
The present study is part of a larger mixed methods project that investigated the speaking section of the Advanced Placement (AP) Japanese Language and Culture Exam. It investigated assumptions for the evaluation inference through a content analysis of test taker responses. Results of the content analysis were integrated with those of a many-facet…
Descriptors: Content Analysis, Test Wiseness, Advanced Placement, Computer Assisted Testing
Kim, Ahyoung Alicia; Monroe, Mira; Lee, Shinhye – Computer Assisted Language Learning, 2022
Previous research on online features embedded in language assessments have been limited to the use of dictionary or spell/grammar check. Few have examined the role of accessibility features in the Kindergarten to Grade 12 (K-12) English learner (EL) context in the U.S. This study examined how K-12 EL educators perceive and instruct online…
Descriptors: Elementary Secondary Education, English Language Learners, English (Second Language), Language Teachers
Upchurch, Allison M.; Kirkwood-Watts, Dana L.; Brazeal, Kathleen R.; Wheeler, Lorey A.; Couch, Brian A.; Johnson, Gabrielle B.; Spier, Sarah K. – CBE - Life Sciences Education, 2022
Instructors use a variety of online formative assessment (FA) activities to support learning outside class. Previous studies have revealed barriers for students in online courses, but little is known about the barriers students experience when completing online FA assignments. Understanding these barriers to access is critical to fostering more…
Descriptors: Computer Assisted Testing, Formative Evaluation, Undergraduate Students, Biology
Fröber, Kerstin; Jurczyk, Vanessa; Dreisbach, Gesine – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Frequent forced switching between tasks has been shown to reduce switch costs and increase voluntary switch rates. So far, however, the boundary conditions of the influence of forced task switching on voluntary task switching are unknown. Thus, the present study was aimed to test different aspects of generalizability (across items, tasks, and…
Descriptors: Cognitive Ability, Attention Control, Task Analysis, Generalization
Beaty, Roger E.; Johnson, Dan R.; Zeitlen, Daniel C.; Forthmann, Boris – Creativity Research Journal, 2022
Semantic distance is increasingly used for automated scoring of originality on divergent thinking tasks, such as the Alternate Uses Task (AUT). Despite some psychometric support for semantic distance -- including positive correlations with human creativity ratings -- additional work is needed to optimize its reliability and validity, including…
Descriptors: Semantics, Scoring, Creative Thinking, Creativity
Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items

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