Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Author
| Ash, Katie | 1 |
| Barrett, Matthew E. | 1 |
| Ghajoyan, Inna | 1 |
| Kramarova, Olga | 1 |
| Mamikonian, Ani | 1 |
| Swan, Alexander B. | 1 |
| Youmans, Robert J. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Secondary Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textBarrett, Matthew E.; Swan, Alexander B.; Mamikonian, Ani; Ghajoyan, Inna; Kramarova, Olga; Youmans, Robert J. – International Journal of Instruction, 2014
This study examined the encoding specificity principle in relation to traditional and computer-based note taking and assessment formats in higher education. Students (N = 79) took lecture notes either by hand (n = 40) or by computer (n = 39) and then completed either a computer or a paper-based assessment. When note taking and assessment formats…
Descriptors: Notetaking, Congruence (Psychology), Higher Education, College Students
Direct linkAsh, Katie – Education Week, 2008
This article discusses the growing interest in computer-adaptive testing, which supporters say can help guide instruction, increase student motivation, and determine the best use of resources for districts. This method of testing shortens the test by not asking high-achieving students questions that are too easy for them, and likewise not giving…
Descriptors: Adaptive Testing, Computer Assisted Testing, Student Evaluation, Student Motivation
