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Rostaminezhad, Mohammad A. – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Students' perceptions about feedback in e-tests have not been studied using qualitative methods. Therefore, the objective of this study was to investigate the students' attitude towards electronic tests, focusing on the feedback. Background: Despite the advantages of electronic tests, it is one of the neglected technologies in the…
Descriptors: Student Attitudes, Computer Assisted Testing, Feedback (Response), Student Evaluation
Dunya, Beyza Aksu; McKown, Clark; Smith, Everett – Grantee Submission, 2019
Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…
Descriptors: Emotional Intelligence, Psychometrics, Test Bias, Computer Assisted Testing
Small, Dennis – Washington Office of Superintendent of Public Instruction, 2019
Educational technology assessments developed by the Office of Superintendent of Public Instruction (OSPI) are voluntarily administered in the elementary, middle, and high school grades. Educators use the assessments to determine if students meet Washington's standards for educational technology. The assessments integrate standards from science,…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Secondary Education, State Standards
Joshi, Suhas Govind; Brastad, Live Årmot – International Association for Development of the Information Society, 2019
E-exams used in higher education can accommodate a range of assignment types that have traditionally been conducted with pen-and-paper. However, one issue that remains a challenge is proper support of sketching in larger, generic e-exams systems. Different types of sketching assignment demand input devices suited to the specific type of…
Descriptors: Computer Science Education, Computer Assisted Testing, Higher Education, Student Attitudes
Marwan M. A. Abu Alrob; Nizar A. A. Asad; Mohannad A. M. Abu Daqar – Journal of Education and Learning, 2019
We examine the computer-based exams system at Arab American University-Palestine in terms of teacher and student attitudes as well as the quality of the test items. A three-pronged approach to data collection was used. First, we elicited answers to questionnaires from 704 faculty and student respondents. Second, we conducted eight individual…
Descriptors: Foreign Countries, Computer Assisted Testing, Educational Technology, College Students
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
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
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
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
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
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

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