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Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
Maddox, Bryan – OECD Publishing, 2023
The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large scale. Process data has long been recognised as a valuable source of validation evidence in…
Descriptors: Measurement, Inferences, Test Reliability, Computer Assisted Testing
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Assessment for Effective Intervention, 2021
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
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Papageorgiou, Spiros; Manna, Venessa F. – Language Assessment Quarterly, 2021
The TOEFL iBT test was introduced in 2005 to better reflect the language demands of real-life academic tasks than did previous versions of the test. The task-based design of the test was intended to support the interpretation of its scores as a trustworthy measure of international students' ability to use English in an academic environment. Until…
Descriptors: Academic Language, COVID-19, Pandemics, Scores
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Grantee Submission, 2020
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
Yasin Karatay – ProQuest LLC, 2022
The assessment of oral proficiency in English for Specific Purposes (ESP) contexts remains a central challenge for researchers, test developers, and classroom teachers (Knoch & Macqueen, 2020). This problem is apparent especially in Tourism and Hotel Management (THM) programs, where students are tested mostly based on grammar, vocabulary, and…
Descriptors: English for Special Purposes, Second Language Learning, Second Language Instruction, Tourism
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Magliano, Joseph P.; Millis, Keith K.; Levinstein, Irwin; Boonthum, Chutima – Metacognition and Learning, 2011
Comprehension emerges as the results of inference and strategic processes that support the construction of a coherent mental model for a text. However, the vast majority of comprehension skills tests adopt a format that does not afford an assessment of these processes as they operate during reading. This study assessed the viability of the Reading…
Descriptors: Reading Comprehension, Sentences, Standardized Tests, Reading Strategies
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Bejar, Isaac I. – Assessment in Education: Principles, Policy & Practice, 2011
Automated scoring of constructed responses is already operational in several testing programmes. However, as the methodology matures and the demand for the utilisation of constructed responses increases, the volume of automated scoring is likely to increase at a fast pace. Quality assurance and control of the scoring process will likely be more…
Descriptors: Evidence, Quality Control, Scoring, Quality Assurance
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Almond, Patricia; Winter, Phoebe; Cameto, Renee; Russell, Michael; Sato, Edynn; Clarke-Midura, Jody; Torres, Chloe; Haertel, Geneva; Dolan, Robert; Beddow, Peter; Lazarus, Sheryl – Journal of Technology, Learning, and Assessment, 2010
This paper represents one outcome from the "Invitational Research Symposium on Technology-Enabled and Universally Designed Assessments," which examined technology-enabled assessments (TEA) and universal design (UD) as they relate to students with disabilities (SWD). It was developed to stimulate research into TEAs designed to make tests…
Descriptors: Disabilities, Inferences, Computer Assisted Testing, Alternative Assessment
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Wainer, Howard – Journal of Educational and Behavioral Statistics, 2010
In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…
Descriptors: Research Skills, Researchers, Internet, Access to Information
McArthur, David L. – 1985
The use of computers to build diagnostic inferences is explored in two contexts. In computerized monitoring of liquid oxygen systems for the space shuttle, diagnoses are exact because they can be derived within a world which is closed. In computerized classroom testing of reading comprehension, programs deliver a constrained form of adaptive…
Descriptors: Adaptive Testing, Classroom Research, Computer Assisted Testing, Diagnostic Tests