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Muhl-Richardson, Alex; Cornes, Katherine; Godwin, Hayward J.; Garner, Matthew; Hadwin, Julie A.; Liversedge, Simon P.; Donnelly, Nick – Applied Cognitive Psychology, 2018
Target onsets in dynamically changing displays can be predicted when contingencies exist between different stimulus states over time. In the present study, we examined predictive monitoring when participants searched dynamically changing displays of numbers and colored squares for a color target, a number target, or both. Stimuli were presented in…
Descriptors: Prediction, Visual Stimuli, Color, Spatial Ability
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Vergés Bausili, Anna – British Journal of Educational Technology, 2018
The increasing interest in electronic management of assessment is a sign of a gradual institutionalisation of e-submission and e-marking technologies in UK Higher Education. The effective adoption of these technologies requires a managed approach, especially a detailed understanding of current assessment practices within the institution and the…
Descriptors: Computer Assisted Testing, Higher Education, Foreign Countries, Participant Observation
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Tompkins, Chasity; Howell, Nykita; Mull, Casey – Journal of Extension, 2018
Extension faculty and staff are constantly planning, implementing, and evaluating programming efforts. Data from participants are needed for assessing changes in knowledge, attitude, and behavior through summative and formative evaluation. However, collecting these data can be time-consuming and hard to achieve. A technological tool called…
Descriptors: Extension Education, Extension Agents, Evaluation Methods, Data Collection
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Alessio, Helaine M.; Malay, Nancy; Maurer, Karsten; Bailer, A. John; Rubin, Beth – International Review of Research in Open and Distributed Learning, 2018
Traditional and online university courses share expectations for quality content and rigor. Student and faculty concerns about compromised academic integrity and actual instances of academic dishonesty in assessments, especially with online testing, are increasingly troublesome. Recent research suggests that in the absence of proctoring, the time…
Descriptors: Supervision, Majors (Students), Computer Assisted Testing, Scores
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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
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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
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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
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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
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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
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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
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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
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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
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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
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