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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)
Kolski, Tammi; Weible, Jennifer – Online Journal of Distance Learning Administration, 2018
With increased pressures on maintaining a stellar academic performance for future academia or occupational possibilities, students may suffer test anxiety at some point in their higher education journey. For decades, empirical, observational, research has been conducted to determine the psychological and physiological effects of test anxiety. This…
Descriptors: College Students, Test Anxiety, Video Technology, Supervision
Swiggett, Wanda D.; Kotloff, Laurie; Ezzo, Chelsea; Adler, Rachel; Oliveri, Maria Elena – ETS Research Report Series, 2014
The computer-based "Graduate Record Examinations"® ("GRE"®) revised General Test includes interactive item types and testing environment tools (e.g., test navigation, on-screen calculator, and help). How well do test takers understand these innovations? If test takers do not understand the new item types, these innovations may…
Descriptors: College Entrance Examinations, Graduate Study, Usability, Test Items
Thompson, James J.; Yang, Tong; Chauvin, Sheila W. – Applied Measurement in Education, 2009
In some professions, speed and accuracy are as important as acquired requisite knowledge and skills. The availability of computer-based testing now facilitates examination of these two important aspects of student performance. We found that student response times in a conventional non-speeded multiple-choice test, at both the global and individual…
Descriptors: Reaction Time, Test Items, Student Reaction, Multiple Choice Tests
Jordan, Sally – Practitioner Research in Higher Education, 2009
Feedback on assessment tasks has an important part to play in underpinning student learning. Online assessment enables instantaneous feedback to be given so that the student can act on it immediately. However, concern has been expressed that e-assessment tasks (especially multiple-choice questions) can encourage surface-learning. Several projects…
Descriptors: Computer Assisted Testing, Feedback (Response), Accuracy, Computer Uses in Education
Scharber, Cassandra; Dexter, Sara; Riedel, Eric – Journal of Technology, Learning, and Assessment, 2008
The purpose of this research is to analyze preservice teachers' use of and reactions to an automated essay scorer used within an online, case-based learning environment called ETIPS. Data analyzed include post-assignment surveys, a user log of students' actions within the cases, instructor-assigned scores on final essays, and interviews with four…
Descriptors: Test Scoring Machines, Essays, Student Experience, Automation
Johnson, Genevieve Marie; Johnson, Julia Ann – Online Submission, 2006
Forty-eight college students participated in an ABAB analysis; the A condition was online study groups and the B condition was individual online quizzes. The effect of A and B on student satisfaction and achievement was determined. The Index of Learning Styles categorized students on four dimensions of learning style (active-reflective,…
Descriptors: Tests, Online Courses, College Students, Student Attitudes
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection