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Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Journal of Learning Disabilities, 2023
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as the "reading readiness" ACT (formerly American College Testing) of provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
Steedle, Jeffrey T.; Cho, Young Woo; Wang, Shichao; Arthur, Ann M.; Li, Dongmei – Educational Measurement: Issues and Practice, 2022
As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Scores, Test Format
Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Journal of College Reading and Learning, 2022
Reading comprehension assessments are used for postsecondary course placement and advising, and they are components of college entrance exams. Therefore, a quantitative understanding of the relationship between reading comprehension assessments and postsecondary academic achievement is needed. To address this need, we conducted a meta-analysis to…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
Woldeab, Daniel; Brothen, Thomas – International Journal of E-Learning & Distance Education, 2019
It is safe to say that online leaning has found a permanent place in higher education. Conventional higher education institutions are also gradually embracing it across the United States. As online learning surfaces as the new model of contemporary education both in the United States and worldwide, ensuring exam integrity in the online environment…
Descriptors: Supervision, Computer Assisted Testing, Test Anxiety, Performance Factors
Smolinsky, Lawrence; Marx, Brian D.; Olafsson, Gestur; Ma, Yanxia A. – Journal of Educational Computing Research, 2020
Computer-based testing is an expanding use of technology offering advantages to teachers and students. We studied Calculus II classes for science, technology, engineering, and mathematics majors using different testing modes. Three sections with 324 students employed: paper-and-pencil testing, computer-based testing, and both. Computer tests gave…
Descriptors: Test Format, Computer Assisted Testing, Paper (Material), Calculus
Pike, Gary R.; Hansen, Michele J.; Childress, Janice E. – Journal of College Student Retention: Research, Theory & Practice, 2014
The present research examined the extent to which pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics were related to graduation from college. Data from admission applications, the "ACT Compass" survey, and initial enrollment measures for Fall 2004 and Fall 2005 first-time…
Descriptors: Student Characteristics, Educational Experience, Correlation, Expectation
Davison, Mark L.; Semmes, Robert; Huang, Lan; Close, Catherine N. – Educational and Psychological Measurement, 2012
Data from 181 college students were used to assess whether math reasoning item response times in computerized testing can provide valid and reliable measures of a speed dimension. The alternate forms reliability of the speed dimension was .85. A two-dimensional structural equation model suggests that the speed dimension is related to the accuracy…
Descriptors: Computer Assisted Testing, Reaction Time, Reliability, Validity
Thompson, Meredith Myra; Braude, Eric John – Journal of Educational Computing Research, 2016
The assessment of learning in large online courses requires tools that are valid, reliable, easy to administer, and can be automatically scored. We have evaluated an online assessment and learning tool called Knowledge Assembly, or Knowla. Knowla measures a student's knowledge in a particular subject by having the student assemble a set of…
Descriptors: Computer Assisted Testing, Teaching Methods, Online Courses, Critical Thinking
Kurby, Christopher A.; Magliano, Joseph P.; Dandotkar, Srikanth; Woehrle, James; Gilliam, Sara; McNamara, Danielle S. – Journal of Educational Computing Research, 2012
This study assessed whether and how self-explanation reading training, provided by iSTART (Interactive Strategy Training for Active Reading and Thinking), improves the effectiveness of comprehension processes. iSTART teaches students how to self-explain and which strategies will most effectively aid comprehension from moment-to-moment. We used…
Descriptors: Computer Assisted Testing, Federal Aid, Control Groups, Experimental Groups
Yin, Alexander C.; Volkwein, J. Fredericks – New Directions for Institutional Research, 2010
After surveying 1,827 students in their final year at eighty randomly selected two-year and four-year public and private institutions, American Institutes for Research (2006) reported that approximately 30 percent of students in two-year institutions and nearly 20 percent of students in four-year institutions have only basic quantitative…
Descriptors: Standardized Tests, Basic Skills, College Admission, Educational Testing
McPherson, Douglas – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to describe how and why Texas A&M University at Qatar (TAMUQ) has developed a system aiming to effectively place students in freshman and developmental English programs. The placement system includes: triangulating data from external test scores, with scores from a panel-marked hand-written essay (HWE),…
Descriptors: Student Placement, Educational Testing, English (Second Language), Second Language Instruction

Armstrong, R. D.; And Others – Applied Psychological Measurement, 1996
When the network-flow algorithm (NFA) and the average growth approximation algorithm (AGAA) were used for automated test assembly with American College Test and Armed Services Vocational Aptitude Battery item banks, results indicate that reasonable error in item parameters is not harmful for test assembly using NFA or AGAA. (SLD)
Descriptors: Algorithms, Aptitude Tests, College Entrance Examinations, Computer Assisted Testing