Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 11 |
Descriptor
| Computer Assisted Testing | 11 |
| Test Interpretation | 11 |
| Scoring | 7 |
| Scores | 4 |
| Accuracy | 3 |
| Artificial Intelligence | 3 |
| Automation | 3 |
| Feedback (Response) | 3 |
| Test Format | 3 |
| Test Reliability | 3 |
| Test Validity | 3 |
| More ▼ | |
Source
Author
| Amit Sevak | 1 |
| Aomi, Itsuki | 1 |
| Attali, Yigal | 1 |
| Baig, Basim | 1 |
| Ben Seipel | 1 |
| Branch, Fallon | 1 |
| Chen, Dandan | 1 |
| Chen, Wenzhi | 1 |
| Corcoran, Stephanie | 1 |
| Daniel Fishtein | 1 |
| Gschwendtner, Tobias | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 9 |
| Reports - Research | 9 |
| Information Analyses | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - Evaluative | 1 |
| Tests/Questionnaires | 1 |
Audience
Location
| Indonesia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
Uto, Masaki; Aomi, Itsuki; Tsutsumi, Emiko; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2023
In automated essay scoring (AES), essays are automatically graded without human raters. Many AES models based on various manually designed features or various architectures of deep neural networks (DNNs) have been proposed over the past few decades. Each AES model has unique advantages and characteristics. Therefore, rather than using a single-AES…
Descriptors: Prediction, Scores, Computer Assisted Testing, Scoring
Tri Sedya Febrianti; Siti Fatimah; Yuni Fitriyah; Hanifah Nurhayati – International Journal of Education in Mathematics, Science and Technology, 2024
Assessing students' understanding of circle-related material through subjective tests is effective, though grading these tests can be challenging and often requires technological support. ChatGPT has shown promise in providing reliable and objective evaluations. Many teachers in Indonesia, however, continue to face difficulties integrating…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Scoring, Tests
Li, Xu; Ouyang, Fan; Liu, Jianwen; Wei, Chengkun; Chen, Wenzhi – Journal of Educational Computing Research, 2023
The computer-supported writing assessment (CSWA) has been widely used to reduce instructor workload and provide real-time feedback. Interpretability of CSWA draws extensive attention because it can benefit the validity, transparency, and knowledge-aware feedback of academic writing assessments. This study proposes a novel assessment tool,…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Natural Language Processing
Chen, Dandan – Online Submission, 2023
Technology-driven shifts have created opportunities to improve efficiency and quality of assessments. Meanwhile, they may have exacerbated underlying socioeconomic issues in relation to educational equity. The increased implementation of technology-based assessments during the COVID-19 pandemic compounds the concern about the digital divide, as…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Alternative Assessment, Test Format
LaFlair, Geoffrey T.; Langenfeld, Thomas; Baig, Basim; Horie, André Kenji; Attali, Yigal; von Davier, Alina A. – Journal of Computer Assisted Learning, 2022
Background: Digital-first assessments leverage the affordances of technology in all elements of the assessment process--from design and development to score reporting and evaluation to create test taker-centric assessments. Objectives: The goal of this paper is to describe the engineering, machine learning, and psychometric processes and…
Descriptors: Computer Assisted Testing, Affordances, Scoring, Engineering
Branch, Fallon; Williams, K. Matthew; Santana, Isabella Noel; Hegdé, Jay – Cognitive Research: Principles and Implications, 2022
Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28…
Descriptors: Radiology, Allied Health Personnel, Assistive Technology, Clinical Diagnosis
Corcoran, Stephanie – Contemporary School Psychology, 2022
With the iPad-mediated cognitive assessment gaining popularity with school districts and the need for alternative modes for training and instruction during this COVID-19 pandemic, school psychology training programs will need to adapt to effectively train their students to be competent in administering, scoring, an interpreting cognitive…
Descriptors: School Psychologists, Professional Education, Job Skills, Cognitive Tests
Hartmann, Stefan; Güzel, Emre; Gschwendtner, Tobias – Empirical Research in Vocational Education and Training, 2023
We investigated the ecological validity of performance measures from a computer-based assessment tool that utilises scripted video vignettes. The intended purpose of this tool is to assess the maintenance and repair skills of automotive technician apprentices, complementing traditional hands-on assessment formats from the German journeymen's…
Descriptors: Performance Based Assessment, Computer Assisted Testing, Auto Mechanics, Job Skills
Patrick Kyllonen; Amit Sevak; Teresa Ober; Ikkyu Choi; Jesse Sparks; Daniel Fishtein – ETS Research Report Series, 2024
Assessment refers to a broad array of approaches for measuring or evaluating a person's (or group of persons') skills, behaviors, dispositions, or other attributes. Assessments range from standardized tests used in admissions, employee selection, licensure examinations, and domestic and international large-scale assessments of cognitive and…
Descriptors: Assessment Literacy, Testing, Test Bias, Test Construction
Sterett H. Mercer; Joanna E. Cannon – Grantee Submission, 2022
We evaluated the validity of an automated approach to learning progress assessment (aLPA) for English written expression. Participants (n = 105) were students in Grades 2-12 who had parent-identified learning difficulties and received academic tutoring through a community-based organization. Participants completed narrative writing samples in the…
Descriptors: Elementary School Students, Secondary School Students, Learning Problems, Learning Disabilities
Ben Seipel; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison; Patrick C. Kennedy – Grantee Submission, 2022
Originally designed for students in Grades 3 through 5, MOCCA (formerly the Multiple-choice Online Causal Comprehension Assessment), identifies students who struggle with comprehension, and helps uncover why they struggle. There are many reasons why students might not comprehend what they read. They may struggle with decoding, or reading words…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Diagnostic Tests, Reading Tests

Peer reviewed
Direct link
