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Esther Ulitzsch; Qiwei He; Steffi Pohl – Grantee Submission, 2024
This is an editorial for a special issue "Innovations in Exploring Sequential Process Data" in the journal Zeitschrift für Psychologie. Process data refer to log files generated by human-computer interactive items. They document the entire process, including keystrokes, mouse clicks as well as the associated time stamps, performed by a…
Descriptors: Educational Innovation, Man Machine Systems, Educational Technology, Computer Assisted Testing
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Holly Robson; Harriet Thomasson; Matthew H. Davis – International Journal of Language & Communication Disorders, 2024
Background: The use of telepractice in aphasia research and therapy is increasing in frequency. Teleassessment in aphasia has been demonstrated to be reliable. However, neuropsychological and clinical language comprehension assessments are not always readily translatable to an online environment and people with severe language comprehension or…
Descriptors: Aphasia, Severity (of Disability), Videoconferencing, Comparative Analysis
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Harun Cigdem; Mustafa Ozturk; Yusuf Karabacak; Nuri Atik; Serkan Gürkan; Mevlana Halit Aldemir – Education and Information Technologies, 2024
Effectively engaging learners in an online learning environment is a crucial component of instructional design that contributes to improving performance. Gamification, a contemporary instructional strategy, seeks to integrate game elements such as leaderboards into non-game contexts with the aim of increasing learner engagement and performance.…
Descriptors: Online Courses, Engineering Education, State Universities, Learner Engagement
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Despina Papadopoulou; Nikolaos Amvrazis; Gerakini Douka; Alexandros Tantos – Modern Language Journal, 2024
The article introduces triangulation to converge evidence from corpus and experimental data, by means of two case studies in second language (L2) learners of Greek. The first case study investigates the acquisition of gender agreement, while the second probes the development of relative clauses. In both studies, findings from the corpus are tested…
Descriptors: Greek, Phrase Structure, Second Language Learning, Second Language Instruction
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Ka-Yan Fung; Kit-Yi Tang; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2024
Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…
Descriptors: Dyslexia, Children, Computer Software, Early Intervention
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Sonique Sailsman; Emma El-Shami – Quarterly Review of Distance Education, 2024
Nurse educators at the undergraduate level spend significant time developing and revising exam questions. Following the exam administration, course faculty have the opportunity to complete an item analysis and question revision to improve reliability and validity. A challenge faculty face is tracking these exam changes when teaching as part of a…
Descriptors: Nursing Education, Nursing Students, College Faculty, Test Construction
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Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
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Cathy Cavanaugh; Bryn Humphrey; Paige Pullen – International Journal on E-Learning, 2024
To address needs in one US state to provide a professional development micro-credential for tens of thousands of educators, we automated an assignment scoring workflow in an online course by developing and refining an AI model to scan submitted assignments and score them against a rubric. This article outlines the AI model development process and…
Descriptors: Artificial Intelligence, Automation, Scoring, Microcredentials
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Blair Lehman; Jesse R. Sparks; Jonathan Steinberg – ETS Research Report Series, 2024
Over the last 20 years, many methods have been proposed to use process data (e.g., response time) to detect changes in engagement during the test-taking process. However, many of these methods were developed and evaluated in highly similar testing contexts: 30 or more single-select multiple-choice items presented in a linear, fixed sequence in…
Descriptors: National Competency Tests, Secondary School Mathematics, Secondary School Students, Mathematics Tests
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Chansak Siengyen; Punchalee Wasanasomsithi – rEFLections, 2024
The present study aimed to determine the effects of a computerized dynamic reading assessment (CDRA) program on English reading comprehension of university students with a lower level of English proficiency. Fulcher's (2003) framework was adapted in program development divided into three phases: program development, program implementation, and…
Descriptors: Electronic Learning, Reading Tests, Computer Assisted Testing, English (Second Language)
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Tri Sedya Febrianti; Siti Fatimah; Yuni Fitriyah; Hanifah Nurhayati – International Journal of Education in Mathematics, Science and Technology, 2024
Assessing students' understanding of circle-related material through subjective tests is effective, though grading these tests can be challenging and often requires technological support. ChatGPT has shown promise in providing reliable and objective evaluations. Many teachers in Indonesia, however, continue to face difficulties integrating…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Scoring, Tests
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Themistocleous, Charalambos; Neophytou, Kyriaki; Rapp, Brenda; Tsapkini, Kyrana – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The evaluation of spelling performance in aphasia reveals deficits in written language and can facilitate the design of targeted writing treatments. Nevertheless, manual scoring of spelling performance is time-consuming, laborious, and error prone. We propose a novel method based on the use of distance metrics to automatically score…
Descriptors: Computer Assisted Testing, Scoring, Spelling, Scores
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Botir Elov; Irodakhon Abdullayeva; Laylo Raupova; Azam Kholikov; Marguba Mirkasimova – Language Testing in Asia, 2025
A significant number of students experience anxiety when asked to speak in English. This unease, often rooted in factors such as shyness, lack of confidence, uncertainty, and a lack of motivation, can hinder their active participation during English oral exams. One of the most important goals that every English language teacher should strive to…
Descriptors: Language Tests, Test Anxiety, Second Language Learning, Second Language Instruction
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Jila Niknejad; Margaret Bayer – International Journal of Mathematical Education in Science and Technology, 2025
In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…
Descriptors: Mathematics Instruction, Mathematics Tests, Computer Assisted Testing, Computer Software
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Henrietta Carbonel; Angelo Belardi; Jen Ross; Jean-Michel Jullien – Online Learning, 2025
The shift to distance education during the COVID-19 pandemic highlighted the potential and preference of online learners for remote assessment. Yet, concerns about academic integrity, especially with tools like ChatGPT, prompted a reevaluation of remote evaluation methods. Universities responded by returning to on-campus exams or relying on…
Descriptors: Distance Education, Computer Assisted Testing, Student Motivation, Integrity
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