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Dorozhkin, Evgenij M.; Chelyshkova, Marina B.; Malygin, Alexey A.; Toymentseva, Irina A.; Anopchenko, Tatiana Y. – International Journal of Environmental and Science Education, 2016
The relevance of the investigated problem is determined by the need to improving the evaluation procedures in education and the student assessment in the age of the context of education widening, new modes of study developing (such as blending learning, e-learning, massive open online courses), immediate feedback necessity, reliable and valid…
Descriptors: Student Evaluation, Evaluation Methods, Item Response Theory, Mathematical Models
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Ryoo, Kihyun; Linn, Marcia C. – Journal of Research in Science Teaching, 2016
Advances in automated scoring technologies have the potential to support student learning during inquiry instruction by providing timely and adaptive guidance on individual students' responses. To identify which forms of automated guidance can be beneficial for inquiry learning, we compared reflective guidance to directive guidance for…
Descriptors: Active Learning, Inquiry, Computer Assisted Testing, Scoring
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Worrell, Jamie; Duffy, Mary Lou; Brady, Michael P.; Dukes, Charles; Gonzalez-DeHass, Alyssa – Preventing School Failure, 2016
Many schools use computer-based testing to measure students' progress for end-of-the-year and statewide assessments. There is little research to support whether computer-based testing accurately reflects student progress, particularly among students with learning, performance, and generalization difficulties. This article summarizes an…
Descriptors: Computer Assisted Testing, Generalization, Reading Strategies, Reading Comprehension
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Landry, Oriane; Al-Taie, Shems – Journal of Autism and Developmental Disorders, 2016
We conducted a meta-analysis of 31 studies, spanning 30 years, utilizing the WCST in participants with autism. We calculated Cohen's d effect sizes for four measures of performance: sets completed, perseveration, failure-to-maintain-set, and non-perseverative errors. The average weighted effect size ranged from 0.30 to 0.74 for each measure, all…
Descriptors: Executive Function, Cognitive Tests, Cognitive Ability, Abstract Reasoning
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Caldwell, Amanda; Hawe, Eleanor – Assessment Matters, 2016
Assessment can be powerful when teachers are able to analyse, interpret and use information in ways that enhance their teaching and programmes, and students' learning. A qualitative approach was used to investigate how teachers of Years 4-8 students analyse, interpret and use information gained from administration of the Progressive Achievement…
Descriptors: Data Use, Data Interpretation, Data Analysis, Achievement Tests
Litzler Jerman, Mary Frances; Garcia Laborda, Jesus – Online Submission, 2016
This paper discusses the results of a study conducted with 218 students in the final year of high school to determine their opinions about the feasibility of using a tablet PC for delivery of a standardized English language test. One such test could be the English paper of the exam given to students upon completion of the Baccalaureate program in…
Descriptors: Standardized Tests, Student Attitudes, Handheld Devices, English (Second Language)
Underwood, Catherine – Australian Council for Educational Research, 2016
The International Computer and Information Literacy Study (ICILS) is the first international comparative study that examines students' acquisition of computer and information literacy (CIL). The study assessed student CIL achievement in 18 countries and three benchmarking participants through a computer-based assessment administered to students in…
Descriptors: Computer Uses in Education, Internet, Computers, Foreign Countries
Ryan, Barbara A. – ProQuest LLC, 2012
Beginning with the No Child Left Behind federal legislation, states were required to use data to monitor and improve student achievement. For high schools, the Missouri Department of Elementary and Secondary Education chose End of Course Exams (EOC) to demonstrate levels of student achievement. The policy changed from school choice of paper-pencil…
Descriptors: Federal Government, Testing, Grade Point Average, Predictor Variables
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Ho, Tsung-Han; Dodd, Barbara G. – Applied Measurement in Education, 2012
In this study we compared five item selection procedures using three ability estimation methods in the context of a mixed-format adaptive test based on the generalized partial credit model. The item selection procedures used were maximum posterior weighted information, maximum expected information, maximum posterior weighted Kullback-Leibler…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Doebler, Anna – Applied Psychological Measurement, 2012
It is shown that deviations of estimated from true values of item difficulty parameters, caused for example by item calibration errors, the neglect of randomness of item difficulty parameters, testlet effects, or rule-based item generation, can lead to systematic bias in point estimation of person parameters in the context of adaptive testing.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computation, Item Response Theory
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Lee, HwaYoung; Dodd, Barbara G. – Educational and Psychological Measurement, 2012
This study investigated item exposure control procedures under various combinations of item pool characteristics and ability distributions in computerized adaptive testing based on the partial credit model. Three variables were manipulated: item pool characteristics (120 items for each of easy, medium, and hard item pools), two ability…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Ability
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dos Santos, Christophe; Ferré, Sandrine – Language Acquisition: A Journal of Developmental Linguistics, 2018
Children with specific language impairment (SLI) are particularly sensitive to phonological complexity in their language. Their performance drops when there are specific phonological structures or when complexity increases. A nonword repetition (NWR) test, which aims to assess the phonology of bilingual speakers with and without SLI, should…
Descriptors: Task Analysis, Bilingualism, French, Phonology
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Long, Avizia Y.; Shin, Sun-Young; Geeslin, Kimberly; Willis, Erik W. – Language Learning & Technology, 2018
In response to the need for examples of test validation from which everyday language programs can benefit, this paper reports on a study that used Bachman's (2005) assessment use argument (AUA) framework to examine evidence to support claims made about the intended interpretations and uses of scores based on a new web-based Spanish language…
Descriptors: Second Language Instruction, Second Language Learning, Spanish, Computer Assisted Testing
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Alotumi, Mohialdeen – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article is an action research of quasi-experimental nature. It aims at investigating the effect of CALL-based instruction on Yemeni students' score attainment on the TOEFL iBT. The sample of study consisted of 30 adult students randomly assigned to experimental and control groups. Data was collected within an 8-week period via a…
Descriptors: Computer Assisted Testing, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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Pickron, Charisse B.; Iyer, Arjun; Fava, Eswen; Scott, Lisa S. – Child Development, 2018
This study examined differences in visual attention as a function of label learning from 6 to 9 months of age. Before and after 3 months of parent-directed storybook training with computer-generated novel objects, event-related potentials and visual fixations were recorded while infants viewed trained and untrained images (n = 23). Relative to a…
Descriptors: Child Development, Visual Perception, Attention Control, Parent Child Relationship
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