Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 9 |
| Since 2017 (last 10 years) | 16 |
| Since 2007 (last 20 years) | 32 |
Descriptor
| Computer Assisted Testing | 34 |
| Feedback (Response) | 34 |
| Multiple Choice Tests | 34 |
| Foreign Countries | 19 |
| Student Attitudes | 12 |
| Student Evaluation | 12 |
| Formative Evaluation | 10 |
| College Students | 9 |
| Educational Technology | 8 |
| Undergraduate Students | 8 |
| Computer Software | 7 |
| More ▼ | |
Source
Author
| Abad, Francisco | 1 |
| Alexander, Cara J. | 1 |
| Andrea Carr | 1 |
| Annette Saunders | 1 |
| Appleyard, Rob | 1 |
| Azevedo, Ana, Ed. | 1 |
| Azevedo, José, Ed. | 1 |
| Baek, Youngkyun | 1 |
| Baggott, Glenn | 1 |
| Bax, Bridget E. | 1 |
| Bax, Christopher | 1 |
| More ▼ | |
Publication Type
Education Level
| Higher Education | 21 |
| Postsecondary Education | 18 |
| Secondary Education | 7 |
| Elementary Secondary Education | 2 |
| High Schools | 2 |
| Adult Education | 1 |
| Grade 10 | 1 |
| Two Year Colleges | 1 |
Audience
| Administrators | 1 |
| Researchers | 1 |
| Students | 1 |
| Teachers | 1 |
Location
| United Kingdom | 5 |
| Australia | 4 |
| Malaysia | 2 |
| Spain | 2 |
| China | 1 |
| Hong Kong | 1 |
| Minnesota | 1 |
| Netherlands | 1 |
| Portugal | 1 |
| South Korea | 1 |
| Turkey | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Force Concept Inventory | 1 |
What Works Clearinghouse Rating
Plasencia, Javier – Biochemistry and Molecular Biology Education, 2023
Multiple studies have shown that testing contributes to learning at all educational levels. In this observational classroom study, we report the use of a learning tool developed for a Genetics and Molecular Biology course at the college level. An interactive set of practice exams that included 136 multiple choice questions (MCQ) or matching…
Descriptors: Molecular Biology, Genetics, Science Tests, College Science
Richard Say; Denis Visentin; Annette Saunders; Iain Atherton; Andrea Carr; Carolyn King – Journal of Computer Assisted Learning, 2024
Background: Formative online multiple-choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple-choice tests can discourage meaningful engagement and enable strategies, such as trial-and-error, that circumvent intended learning outcomes. These strategies…
Descriptors: Feedback (Response), Self Management, Formative Evaluation, Multiple Choice Tests
Wood, Eileen; Klausz, Noah; MacNeil, Stephen – Innovative Higher Education, 2022
Learning gains associated with multiple-choice testing formats that provide immediate feedback (e.g., IFAT®) are often greater than those for typical single-choice delayed feedback formats (e.g. Scantron®). Immediate feedback formats also typically permit part marks unlike delayed feedback formats. The present study contrasted IFAT® with a new…
Descriptors: Academic Achievement, Computer Assisted Testing, Feedback (Response), Organic Chemistry
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)
Candel, Carmen; Máñez, Ignacio; Cerdán, Raquel; Vidal-Abarca, Eduardo – Journal of Computer Assisted Learning, 2021
Elaborative feedback (EF) containing explanations on students' responses benefits learning. Computer-based environments provide learners with EF in different ways, for example, on an immediate question-by-question basis or after answering a set of questions. Recent findings also suggest that delaying EF enhances learning. However, it is unclear to…
Descriptors: Secondary School Students, Computer Assisted Testing, Multiple Choice Tests, Feedback (Response)
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
Parker, Mark A. J.; Hedgeland, Holly; Braithwaite, Nicholas; Jordan, Sally – European Journal of Science and Mathematics Education, 2022
The study investigated student reaction to the alternative mechanics survey (AMS), a modified force concept inventory, which used automatically marked free-response questions and offered limited feedback to students after their answers had been submitted. Eight participants were observed in completing the AMS, and they were interviewed to gain…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Physics
Kusairi, Sentot – Journal of Technology and Science Education, 2020
Formative feedback plays an important role in assisting students in their learning process. However, administering information about student weaknesses and strengths is one of the challenges faced by teachers when implementing formative assessment. This study aims to develop a web-based formative feedback system that is able to provide specific…
Descriptors: Student Evaluation, Formative Evaluation, Feedback (Response), Computer Assisted Testing
Kay, Alison E.; Hardy, Judy; Galloway, Ross K. – British Journal of Educational Technology, 2020
This study explores the relationship between engagement with an online, free-to-use question-generation application (PeerWise) and student achievement. Using PeerWise, students can create and answer multiple-choice questions and can provide feedback to the question authors on question quality. This provides further scope for students to engage in…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Academic Achievement, Feedback (Response)
Wang, Zhen; Cao, Yang; Gong, Shaoying – Journal of Educational Computing Research, 2023
Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners' dominant goal orientation moderated the effects of computer-based elaborated…
Descriptors: Goal Orientation, Feedback (Response), Cues, Student Characteristics
Chang, Frederic Tao-Yi; Li, Mao-Neng Fred – International Journal of Educational Technology, 2019
IF-AT (also called answer until correct) is a revised form of traditional multiple-choice testing. It was created to provide instant feedback during testing and to tap into partial knowledge of learners. The purposes of this meta-analytic study were to compare the effectiveness of IF-AT with the traditional multiple-choice test; to assess…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Feedback (Response), Answer Sheets
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
Limei Shan – International Journal of Technology in Teaching and Learning, 2023
This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Second Language Instruction
Kiliçkaya, Ferit – Teaching English with Technology, 2017
This study aimed to determine EFL (English as a Foreign Language) teachers' perceptions and experience regarding their use of "GradeCam Go!" to grade multiple choice tests. The results of the study indicated that the participants overwhelmingly valued "GradeCam Go!" due to its features such as grading printed forms for…
Descriptors: English (Second Language), Second Language Instruction, Teacher Attitudes, Multiple Choice Tests
McKenzie, Wendy; Roodenburg, John – Australasian Journal of Educational Technology, 2017
The importance of the role of peer and self-assessment in developing formative and sustainable assessment practice in higher education is increasingly becoming evident. PeerWise is an online software tool that engages students in contributing to their own and others' learning by authoring, answering and providing feedback on multiple choice…
Descriptors: Teaching Methods, Graduate Students, Recall (Psychology), Computer Software

Peer reviewed
Direct link
