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Basaraba, Deni L.; Yovanoff, Paul; Shivraj, Pooja; Ketterlin-Geller, Leanne R. – Practical Assessment, Research & Evaluation, 2020
Stopping rules for fixed-form tests with graduated item difficulty are intended to stop administration of a test at the point where students are sufficiently unlikely to provide a correct response following a pattern of incorrect responses. Although widely employed in fixed-form tests in education, little research has been done to empirically…
Descriptors: Formative Evaluation, Test Format, Test Items, Difficulty Level
Lundgren, Erik; Eklöf, Hanna – Educational Research and Evaluation, 2020
The present study used process data from a computer-based problem-solving task as indications of behavioural level of test-taking effort, and explored how behavioural item-level effort related to overall test performance and self-reported effort. Variables were extracted from raw process data and clustered. Four distinct clusters were obtained and…
Descriptors: Computer Assisted Testing, Problem Solving, Response Style (Tests), Test Items
Jia, Bing; He, Dan; Zhu, Zhemin – Problems of Education in the 21st Century, 2020
The quality of multiple-choice questions (MCQs) as well as the student's solve behavior in MCQs are educational concerns. MCQs cover wide educational content and can be immediately and accurately scored. However, many studies have found some flawed items in this exam type, thereby possibly resulting in misleading insights into students'…
Descriptors: Foreign Countries, Multiple Choice Tests, Test Items, Item Response Theory
Scribner, Emily D.; Harris, Sara E. – Journal of Geoscience Education, 2020
The Mineralogy Concept Inventory (MCI) is a statistically validated 18-question assessment that can be used to measure learning gains in introductory mineralogy courses. Development of the MCI was an iterative process involving expert consultation, student interviews, assessment deployment, and statistical analysis. Experts at the two universities…
Descriptors: Undergraduate Students, Mineralogy, Introductory Courses, Science Tests
Stack, Anna; Boitshwarelo, Bopelo; Reedy, Alison; Billany, Trevor; Reedy, Hannah; Sharma, Rajeev; Vemuri, Jyoti – Australasian Journal of Educational Technology, 2020
While research on online tests in higher education is steadily growing, there is little evidence in the literature of the use of learning management systems (LMS), such as Blackboard™, as rich sources of data on online tests practices. This paper reports on an investigation that used data from Blackboard™ LMS to gain insight into the purpose for…
Descriptors: Computer Assisted Testing, Integrated Learning Systems, Higher Education, Business Schools
Tarekegn, Getachew; Alemu, Mekbib; Taddesse, Mesfin; Kind, Per M. – African Journal of Research in Mathematics, Science and Technology Education, 2020
In physics education, assessments address various forms of scientific knowledge. Most of the existing test instruments emphasise the assessment of content knowledge. These tests fail to measure the epistemic aspects of science. Thus, assessing epistemic knowledge is a theme that demands investigation. This study applies Rasch analysis to help…
Descriptors: Science Teachers, Knowledge Level, Energy, Magnets
Harta, Johnsen; Rasuh, Novena Tesalonika; Seriang, Angela – Journal of Science Learning, 2020
High Order Thinking Skills (HOTS) are a significant part of the implementation of the 2013 Curriculum to develop student competencies in the 21st century. Not only in the context of learning are HOTS considered important. They contribute to the National Examination held in Indonesia, so careful preparation for this exam is needed. Chemistry has…
Descriptors: Chemistry, Science Tests, National Competency Tests, Test Items
Lu, Jing; Wang, Chun – Journal of Educational Measurement, 2020
Item nonresponses are prevalent in standardized testing. They happen either when students fail to reach the end of a test due to a time limit or quitting, or when students choose to omit some items strategically. Oftentimes, item nonresponses are nonrandom, and hence, the missing data mechanism needs to be properly modeled. In this paper, we…
Descriptors: Item Response Theory, Test Items, Standardized Tests, Responses
Johnson, Stacey; Vuillemin, Anne; Geidne, Susanna; Kokko, Sami; Epstein, Jonathan; Van Hoye, Aurélie – Health Education & Behavior, 2020
Settings-based approaches have become an increasing health promotion focus since the World Health Organization's 1986 Ottawa Charter. While schools, cities, and prisons have implemented this approach, its development within sports environments is recent. Sports are a popular leisure-time activity, requiring validated tools to measure health…
Descriptors: Clubs, Health Promotion, Athletics, Test Construction
Lee, HyeSun; Smith, Weldon Z. – Educational and Psychological Measurement, 2020
Based on the framework of testlet models, the current study suggests the Bayesian random block item response theory (BRB IRT) model to fit forced-choice formats where an item block is composed of three or more items. To account for local dependence among items within a block, the BRB IRT model incorporated a random block effect into the response…
Descriptors: Bayesian Statistics, Item Response Theory, Monte Carlo Methods, Test Format
Dymond, Benjamin Z.; Swenty, Matthew; Carroll, J. Chris – Journal of Civil Engineering Education, 2020
The objectives of this study were to investigate the cognitive Bloom's taxonomy levels achieved in an introductory reinforced concrete design course, determine if the Bloom's levels assigned to the same exam questions by different professors varied, characterize student performance in relation to Bloom's levels, and quantify the Bloom's level…
Descriptors: Comparative Analysis, Introductory Courses, Design, Engineering Education
Wang, Yan; Murphy, Kevin B. – National Center for Education Statistics, 2020
In 2018, the National Center for Education Statistics (NCES) administered two assessments--the National Assessment of Educational Progress (NAEP) Technology and Engineering Literacy (TEL) assessment and the International Computer and Information Literacy Study (ICILS)--to two separate nationally representative samples of 8th-grade students in the…
Descriptors: National Competency Tests, International Assessment, Computer Literacy, Information Literacy
Kevin Hirschi; Okim Kang – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
Issues of intelligibility may arise amongst English learners when acquiring new words and phrases in North American academic settings, perhaps in part due to limited linguistic data available to the learner for understanding language use patterns. To this end, this paper examines the effects of Data-Driven Learning for Pronunciation (DDLfP) on…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Phonology
Rivas, Axel; Scasso, Martín Guillermo – Journal of Education Policy, 2021
Since 2000, the PISA test implemented by OECD has become the prime benchmark for international comparisons in education. The 2015 PISA edition introduced methodological changes that altered the nature of its results. PISA made no longer valid non-reached items of the final part of the test, assuming that those unanswered questions were more a…
Descriptors: Test Validity, Computer Assisted Testing, Foreign Countries, Achievement Tests
Setyorini, Apriliya Dwi; Yamtinah, Sri; Mahardiani, Lina; Saputro, Sulistyo – European Journal of Educational Research, 2021
Assessment is a topic that continues to be developed in science education research. Assessment evaluates not only students' cognitive abilities but also their thinking skills. Therefore, in this study, an assessment that could measure students' chemical literacy was developed. Chemical literacy is a thinking skill that students must develop as…
Descriptors: Item Response Theory, Test Items, Science Tests, Scientific Literacy

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