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Suijing Yang; Daniel Taylor-Griffiths; Fabienne van der Kleij; Pauline Taylor-Guy; Ralph Saubern – Australian Council for Educational Research, 2025
Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…
Descriptors: Teacher Empowerment, Educational Technology, Technology Uses in Education, Technology Integration
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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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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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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
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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
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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
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