Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 9 |
Since 2016 (last 10 years) | 14 |
Since 2006 (last 20 years) | 22 |
Descriptor
Computer Assisted Testing | 22 |
Feedback (Response) | 22 |
Test Items | 22 |
Student Evaluation | 7 |
Educational Technology | 6 |
Scoring | 6 |
Foreign Countries | 5 |
Scores | 5 |
Adaptive Testing | 4 |
Automation | 4 |
Evaluation Methods | 4 |
More ▼ |
Source
Author
Ackerman, Debra J. | 1 |
Applebaum, Isaac | 1 |
Arif Cem Topuz | 1 |
Aviad-Levitzky, Tami | 1 |
Bakla, Arif | 1 |
Barber, Jill | 1 |
Ben Seipel | 1 |
Billany, Trevor | 1 |
Boitshwarelo, Bopelo | 1 |
Chen, Li-Ju | 1 |
Coster, Wendy J. | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Elementary Secondary Education | 2 |
Early Childhood Education | 1 |
Grade 9 | 1 |
High Schools | 1 |
Kindergarten | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Location
Australia | 1 |
Czech Republic | 1 |
Delaware | 1 |
Illinois | 1 |
Israel | 1 |
Maryland | 1 |
North Carolina | 1 |
Ohio | 1 |
Oregon | 1 |
Pennsylvania | 1 |
Taiwan | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
Qiao, Chen; Hu, Xiao – IEEE Transactions on Learning Technologies, 2023
Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…
Descriptors: Computer Assisted Testing, Automation, Test Items, Semantics
Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
Zur, Amir; Applebaum, Isaac; Nardo, Jocelyn Elizabeth; DeWeese, Dory; Sundrani, Sameer; Salehi, Shima – International Educational Data Mining Society, 2023
Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…
Descriptors: Equal Education, Prior Learning, Educational Objectives, Chemistry
Maarten T. P. Beerepoot – Journal of Chemical Education, 2023
Digital automated assessment is a valuable and time-efficient tool for educators to provide immediate and objective feedback to learners. Automated assessment, however, puts high demands on the quality of the questions, alignment with the intended learning outcomes, and the quality of the feedback provided to the learners. We here describe the…
Descriptors: Formative Evaluation, Summative Evaluation, Chemistry, Science Instruction
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
Stack, Anna; Boitshwarelo, Bopelo; Reedy, Alison; Billany, Trevor; Reedy, Hannah; Sharma, Rajeev; Vemuri, Jyoti – Australasian Journal of Educational Technology, 2020
While research on online tests in higher education is steadily growing, there is little evidence in the literature of the use of learning management systems (LMS), such as Blackboard™, as rich sources of data on online tests practices. This paper reports on an investigation that used data from Blackboard™ LMS to gain insight into the purpose for…
Descriptors: Computer Assisted Testing, Integrated Learning Systems, Higher Education, Business Schools
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
Çekiç, Ahmet; Bakla, Arif – International Online Journal of Education and Teaching, 2021
The Internet and the software stores for mobile devices come with a huge number of digital tools for any task, and those intended for digital formative assessment (DFA) have burgeoned exponentially in the last decade. These tools vary in terms of their functionality, pedagogical quality, cost, operating systems and so forth. Teachers and learners…
Descriptors: Formative Evaluation, Futures (of Society), Computer Assisted Testing, Guidance
Aviad-Levitzky, Tami; Laufer, Batia; Goldstein, Zahava – Language Assessment Quarterly, 2019
This article describes the development and validation of the new CATSS (Computer Adaptive Test of Size and Strength), which measures vocabulary knowledge in four modalities -- productive recall, receptive recall, productive recognition, and receptive recognition. In the first part of the paper we present the assumptions that underlie the test --…
Descriptors: Foreign Countries, Test Construction, Test Validity, Test Reliability
Ellis, Steven; Barber, Jill – Practitioner Research in Higher Education, 2016
In the Manchester Pharmacy School, we first adopted summative on-line examinations in 2005. Since then, we have increased the range of question types to include short answers, short essays and questions incorporating chemical structures and we achieve time savings of up to 90% in the marking process. Online assessments allow two novel forms of…
Descriptors: Foreign Countries, Pharmacy, Higher Education, Feedback (Response)
Ackerman, Debra J. – ETS Research Report Series, 2018
Kindergarten entry assessments (KEAs) have increasingly been incorporated into state education policies over the past 5 years, with much of this interest stemming from Race to the Top--Early Learning Challenge (RTT-ELC) awards, Enhanced Assessment Grants, and nationwide efforts to develop common K-12 state learning standards. Drawing on…
Descriptors: Screening Tests, Kindergarten, Test Validity, Test Reliability
Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
Mitchell, Alison M.; Truckenmiller, Adrea; Petscher, Yaacov – Communique, 2015
As part of the Race to the Top initiative, the United States Department of Education made nearly 1 billion dollars available in State Educational Technology grants with the goal of ramping up school technology. One result of this effort is that states, districts, and schools across the country are using computerized assessments to measure their…
Descriptors: Computer Assisted Testing, Educational Technology, Testing, Efficiency
Ortner, Tuulia M.; Weisskopf, Eva; Gerstenberg, Friederike X. R. – European Journal of Psychology of Education, 2013
We investigated students' metacognitive experiences with regard to feelings of difficulty (FD), feelings of satisfaction (FS), and estimate of effort (EE), employing either computerized adaptive testing (CAT) or computerized fixed item testing (FIT). In an experimental approach, 174 students in grades 10 to 13 were tested either with a CAT or a…
Descriptors: Adaptive Testing, Feedback (Response), High School Students, Metacognition
Previous Page | Next Page »
Pages: 1 | 2