NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 5,221 to 5,235 of 7,218 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Prince, Diane J.; Fulton, Richard A.; Garsombke, Thomas W. – Journal of College Teaching & Learning, 2009
The authors studied the testing pattern grades in four e-campus courses at Troy University with 76 graduate students. In their research, the authors found significant differences in average test grade scores between tests taken electronically without a proctor as compared to those administered using a live or a remote proctor overall. To control…
Descriptors: Graduate Students, Distance Education, Educational Assessment, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Bruce-Lockhart, Michael; Norvell, Theodore; Crescenzi, Pierluigi – ACM Transactions on Computing Education, 2009
We propose an extension of the Teaching Machine project, called Quiz Generator, that allows instructors to produce assessment quizzes in the field of algorithm and data structures quite easily. This extension makes use of visualization techniques and is based on new features of the Teaching Machine that allow third-party visualizers to be added as…
Descriptors: Tests, Mathematics, Visualization, Test Construction
Peer reviewed Peer reviewed
Direct linkDirect link
Sawaki, Yasuyo; Kim, Hae-Jin; Gentile, Claudia – Language Assessment Quarterly, 2009
In cognitive diagnosis a Q-matrix (Tatsuoka, 1983, 1990), which is an incidence matrix that defines the relationships between test items and constructs of interest, has great impact on the nature of performance feedback that can be provided to score users. The purpose of the present study was to identify meaningful skill coding categories that…
Descriptors: Feedback (Response), Test Items, Test Content, Identification
Peer reviewed Peer reviewed
Direct linkDirect link
Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Marriott, Pru – British Journal of Educational Technology, 2009
According to the Quality Assurance Agency, "Assessment describes any processes that appraise an individual's knowledge, understanding, abilities or skills", and is inextricably linked to a course or programme's intended learning outcomes. It also has a fundamental effect on students' learning where it serves a variety of purposes including…
Descriptors: Feedback (Response), Focus Groups, Accounting, Teaching Methods
Bejar, Isaac I.; And Others – 1977
Information provided by typical and improved conventional classroom achievement tests was compared with information provided by an adaptive test covering the same subject matter. Both tests were administered to over 700 college students in a general biology course. Using the same scoring method, adaptive testing was found to yield substantially…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Biology
Hansen, Duncan N. – 1975
To what degree testing can become adaptive is considered in three ways: from a formal methodological perspective; from a human process, stability, perspective; and from a sub-system or component view within an adaptive instructional system (AIS). With the advent of large computer-based training systems, the opportunity to broadly implement…
Descriptors: Academic Ability, Adaptive Testing, Computer Assisted Testing, Computer Oriented Programs
Zwick, Rebecca; And Others – 1993
Simulated data were used to investigate the performance of modified versions of the Mantel-Haenszel and standardization methods of differential item functioning (DIF) analysis in computer-adaptive tests (CATs). Each "examinee" received 25 items out of a 75-item pool. A three-parameter logistic item response model was assumed, and…
Descriptors: Adaptive Testing, Computer Assisted Testing, Correlation, Error of Measurement
Slater, Sharon C.; Schaeffer, Gary A. – 1996
The General Computer Adaptive Test (CAT) of the Graduate Record Examinations (GRE) includes three operational sections that are separately timed and scored. A "no score" is reported if the examinee answers fewer than 80% of the items or if the examinee does not answer all of the items and leaves the section before time expires. The 80%…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Equal Education
Bizot, Elizabeth B.; Goldman, Steven H. – 1994
A study was conducted to evaluate the effects of choice of item response theory (IRT) model, parameter calibration group, starting ability estimate, and stopping criterion on the conversion of an 80-item vocabulary test to computer adaptive format. Three parameter calibration groups were tested: (1) a group of 1,000 high school seniors, (2) a…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
De Champlain, Andre; Gessaroli, Marc E. – 1996
The use of indices and statistics based on nonlinear factor analysis (NLFA) has become increasingly popular as a means of assessing the dimensionality of an item response matrix. Although the indices and statistics currently available to the practitioner have been shown to be useful and accurate in many testing situations, few studies have…
Descriptors: Adaptive Testing, Chi Square, Computer Assisted Testing, Factor Analysis
Colton, Gregg D. – 1997
Technology has provided the public with the ability to steal the contents of multiple examinations in a short time period and at minimal cost. No examination is safe from compromise, and the only variable is the extent and sophistication used to bring about the compromise or theft. With the easy availability of micro-video equipment, audio…
Descriptors: Audiotape Recordings, Cheating, Computer Assisted Testing, Elementary Secondary Education
PDF pending restoration PDF pending restoration
Plake, Barbara S.; And Others – 1994
In self-adapted testing (SAT), examinees select the difficulty level of items administered. This study investigated three variations of prior information provided when taking an SAT: (1) no information (examinees selected item difficulty levels without prior information); (2) view (examinees inspected a typical item from each difficulty level…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Difficulty Level
Collins, Allan; And Others – 1991
The use of paper and pencil, videotape recordings, and microcomputers in student testing provide three very different views of student achievement. Paper and pencil tests can record how students compose tests and documents, and how they critique documents or performances. Video recordings can record how students explain ideas, answer questions,…
Descriptors: Comparative Testing, Computer Assisted Testing, Computer Simulation, Elementary Secondary Education
Lam, Tit-Loong; Foong, Yoke-Yeen – 1991
This simulation study involved the design of two two-stage tests in which the routing tests and the second-stage measurement testlets took the form of a multidimensional knapsack problem with prespecified target informations and constraints to be enumerated using the algorithm of E. Balas. Two conventional tests of similar length to the two-stage…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Computer Simulation
Pages: 1  |  ...  |  345  |  346  |  347  |  348  |  349  |  350  |  351  |  352  |  353  |  ...  |  482