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Joo, Seang-Hwane; Lee, Philseok; Stark, Stephen – Journal of Educational Measurement, 2018
This research derived information functions and proposed new scalar information indices to examine the quality of multidimensional forced choice (MFC) items based on the RANK model. We also explored how GGUM-RANK information, latent trait recovery, and reliability varied across three MFC formats: pairs (two response alternatives), triplets (three…
Descriptors: Item Response Theory, Models, Item Analysis, Reliability
Bao, Yu; Bradshaw, Laine – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) can provide multidimensional diagnostic feedback about students' mastery levels of knowledge components or attributes. One advantage of using DCMs is the ability to accurately and reliably classify students into mastery levels with a relatively small number of items per attribute. Combining DCMs with…
Descriptors: Test Items, Selection, Adaptive Testing, Computer Assisted Testing
Li, Haiying; Cai, Zhiqiang; Graesser, Arthur – Grantee Submission, 2018
In this study we developed and evaluated a crowdsourcing-based latent semantic analysis (LSA) approach to computerized summary scoring (CSS). LSA is a frequently used mathematical component in CSS, where LSA similarity represents the extent to which the to-be-graded target summary is similar to a model summary or a set of exemplar summaries.…
Descriptors: Computer Assisted Testing, Scoring, Semantics, Evaluation Methods
Lin, Ye – ProQuest LLC, 2018
With the widespread use of technology in the assessment field, many testing programs use both computer-based tests (CBTs) and paper-and-pencil tests (PPTs). Both the Standards for Educational and Psychological Testing (AERA, APA, & NCME, 2014) and the International Guidelines on Computer-Based and Internet Delivered Testing (International Test…
Descriptors: Computer Assisted Testing, Testing, Student Evaluation, Elementary School Students
Bryant, William – Practical Assessment, Research & Evaluation, 2017
As large-scale standardized tests move from paper-based to computer-based delivery, opportunities arise for test developers to make use of items beyond traditional selected and constructed response types. Technology-enhanced items (TEIs) have the potential to provide advantages over conventional items, including broadening construct measurement,…
Descriptors: Standardized Tests, Test Items, Computer Assisted Testing, Test Format
Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
Frances Heaney; Trinidad Velasco-Torrijos; Carmel Breslin; Robert Elmes; John Stephens; Ria Collery-Walsh; Anne Cleary; Orla Joyce; Brian Murphy; Bernard Drumm; Ronan Bree; Eric Moore; Aoife Morrin; Bla´naid White; Denise Rooney – Journal of Chemical Education, 2025
In a technology-enhanced learning environment and underpinned by a unique hybrid pedagogic model that borrows from gamification, constructivism, and experiential learning approaches, badges were purposefully used to foster engagement. This approach promoted the development of a mindset that identifies and appreciates the worth of a portfolio of…
Descriptors: Science Instruction, Blended Learning, Large Group Instruction, Experiential Learning
Samsudin, Mohd Ali; Chut, Thodsaphorn Som; Ismail, Mohd Erfy; Ahmad, Nur Jahan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The current assessment is demanding for a more personalised and less-time consuming testing environment. Computer Adaptive Testing (CAT) is seemed as a more effective alternative testing method in comparison to conventional test in meeting the current standard of assessment. This research reports on the calibration of the released Grade 8 Science…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Science Tests
Alharbi, Ameera Saeed; Meccawy, Zilal – Arab World English Journal, 2020
As one of the most popular Online Student Response Systems (OSRSs), "Socrative" is defined as a web-based platform that can be accessed using any browser that is connected to the Internet (Mork, 2014). In an attempt to guide EFL teachers on their journey towards transforming their traditional paper-based formative assessment into using…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Formative Evaluation
Ulum, Ömer Gökhan – Education and Information Technologies, 2020
Artificial Intelligence (AI) is growing -- as can be clearly observed not only from the rising recognition of assistance tools such as Siri (Apple) but also from the newly introduced Google Voiced Translator. Yet, some crucial benchmarks still have to be supplied before it can act as a proxy for a real instructor: imagination, creativity, and…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Language Tests
Lowe, T. W.; Mestel, B. D. – Teaching Mathematics and Its Applications, 2020
The development of six online quizzes to support students' study of an introductory mathematics masters module at The Open University is described and their use evaluated. The quizzes were implemented using the "STACK" online e-assessment system, which is powered by a computer-algebra engine. Evaluation of student feedback and an initial…
Descriptors: Case Studies, Computer Assisted Testing, Mathematics Tests, Introductory Courses
Aspiranti, Kathleen B.; Henze, Erin E. C.; Reynolds, Jennifer L. – School Psychology Review, 2020
Curriculum-based measurement (CBM) tools are increasingly administered through technology-based modalities such as computers and tablets. Two studies were conducted to examine whether students perform similarly on paper-based and tablet-based math fact probes. Ten students completed 1-min addition or multiplication math probes using a single-case…
Descriptors: Mathematics Tests, Test Format, Computer Assisted Testing, Handheld Devices
Raje, Sonali; Stitzel, Shannon – Journal of Chemical Education, 2020
Effective assessment is an extremely important area of chemistry education. Typically tests measure students' knowledge of critical thinking skills, chemistry vocabulary, and application of concepts from one chapter to another. While it is relatively straightforward to measure concepts such as chemical vocabulary and algorithmic problem solving…
Descriptors: COVID-19, Pandemics, School Closing, Science Instruction
Dood, Amber J.; Dood, John C.; Cruz-Ramírez de Arellano, Daniel; Field, Kimberly B.; Raker, Jeffrey R. – Journal of Chemical Education, 2020
Two key topics of many second-year organic chemistry courses are substitution and elimination reactions. Predicting and explaining substitution and elimination reactions tends to be a challenging task for students, as documented in the research literature. Motivated by the many documented challenges experienced by students when learning these…
Descriptors: Science Instruction, Organic Chemistry, College Science, Undergraduate Study