Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Simulation | 3 |
Adults | 2 |
Difficulty Level | 2 |
Intelligence Tests | 2 |
Adaptive Testing | 1 |
Adjustment (to Environment) | 1 |
Autism | 1 |
Behavior Rating Scales | 1 |
Capital Punishment | 1 |
Cognitive Ability | 1 |
College Students | 1 |
More ▼ |
Source
Journal of Research on… | 1 |
Author
Bell, Sherry Mee | 1 |
Cihak, David F. | 1 |
Cliff, Norman | 1 |
Keyes, Denis William | 1 |
McMahon, Don D. | 1 |
Wright, Rachel E. | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Stanford Binet Intelligence… | 3 |
Wechsler Adult Intelligence… | 2 |
Kaufman Brief Intelligence… | 1 |
Vineland Adaptive Behavior… | 1 |
Woodcock Johnson Tests of… | 1 |
What Works Clearinghouse Rating
McMahon, Don D.; Cihak, David F.; Wright, Rachel E.; Bell, Sherry Mee – Journal of Research on Technology in Education, 2016
The purpose of this study was to examine the use of an emerging technology called augmented reality to teach science vocabulary words to college students with intellectual disability and autism spectrum disorders. One student with autism and three students with an intellectual disability participated in a multiple probe across behaviors (i.e.,…
Descriptors: Intellectual Disability, Autism, Science Instruction, College Students
Keyes, Denis William – 1993
Whether or not subjects can simulate mental retardation, a consideration that has implications in criminal cases, was studied using 21 adult Caucasian males between 20 and 30 years of age, largely comprised of students and staff employees of the University of New Mexico. Subjects were asked to give genuine and simulated responses to two major test…
Descriptors: Adults, Capital Punishment, Crime, Criminals
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level