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Daniel M. Settlage; Jim R. Wollscheid – Journal of the Scholarship of Teaching and Learning, 2024
The examination of the testing mode effect has received increased attention as higher education has shifted to remote testing during the COVID-19 pandemic. We believe the testing mode effect consists of four components: the ability to physically write on the test, the method of answer recording, the proctoring/testing environment, and the effect…
Descriptors: College Students, Macroeconomics, Tests, Answer Sheets
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Vispoel, Walter Peter; Morris, Carrie Ann; Sun, Linan – Journal of Experimental Education, 2019
In two independent studies of questionnaire administration, respondents completed multidimensional self-concept inventories within four randomized research conditions that mirrored the most common administration formats used in practice: paper booklets with and without answer sheets and computer questionnaires with single versus multiple items per…
Descriptors: Self Concept Measures, Computer Assisted Testing, Questionnaires, Psychometrics
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Bhute, Vijesh J.; Campbell, James; Kogelbauer, Andreas; Shah, Umang V.; Brechtelsbauer, Clemens – Journal of Chemical Education, 2020
Summative year end assessments are a major component of student assessment at the Department of Chemical Engineering, Imperial College London. More than 600 students participate in over 40 different exams during the summer term. At the end of the spring term, the college moved to fully remote operation due to COVID-19, leaving the academic…
Descriptors: Foreign Countries, College Students, Chemical Engineering, Distance Education
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Chang, Frederic Tao-Yi; Li, Mao-Neng Fred – International Journal of Educational Technology, 2019
IF-AT (also called answer until correct) is a revised form of traditional multiple-choice testing. It was created to provide instant feedback during testing and to tap into partial knowledge of learners. The purposes of this meta-analytic study were to compare the effectiveness of IF-AT with the traditional multiple-choice test; to assess…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Feedback (Response), Answer Sheets
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Wang, Hui-Yu; Chen, Shyi-Ming – Educational Technology & Society, 2007
In this paper, we present two new methods for evaluating students' answerscripts based on the similarity measure between vague sets. The vague marks awarded to the answers in the students' answerscripts are represented by vague sets, where each element u[subscript i] in the universe of discourse U belonging to a vague set is represented by a…
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Educational Technology
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Bridgeman, Brent – Journal of Educational Measurement, 1992
Examinees in a regular administration of the quantitative portion of the Graduate Record Examination responded to particular items in a machine-scannable multiple-choice format. Volunteers (n=364) used a computer to answer open-ended counterparts of these items. Scores for both formats demonstrated similar correlational patterns. (SLD)
Descriptors: Answer Sheets, College Entrance Examinations, College Students, Comparative Testing