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Bijlsma, Hannah J. E.; Glas, Cees A. W.; Visscher, Adrie J. – School Effectiveness and School Improvement, 2022
Modern digital technologies enable the efficient collection and processing of student perceptions of teaching quality. However, students' ratings could be confounded by student, teacher, and classroom characteristics. We investigated students' ratings of 26 teachers who used the digital tool Impact! in their mathematics lessons with 14- and…
Descriptors: Computer Assisted Testing, Student Attitudes, Teacher Effectiveness, Student Characteristics
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Sense, Florian; van der Velde, Maarten; van Rijn, Hedderik – Journal of Learning Analytics, 2021
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…
Descriptors: Predictor Variables, Undergraduate Students, Learning Analytics, Cognitive Psychology
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Crossley, Scott A.; Kim, YouJin – Language Assessment Quarterly, 2019
The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…
Descriptors: Individual Differences, Syntax, Oral Language, Speech Communication
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Kahraman, Nilufer; Cuddy, Monica M.; Clauser, Brian E. – Applied Psychological Measurement, 2013
This research explores the usefulness of latent growth curve modeling in the study of pacing behavior and test speededness. Examinee response times from a high-stakes, computerized examination, collected before and after the examination was subjected to a timing change, were analyzed using a series of latent growth curve models to detect…
Descriptors: Pacing, Models, Reaction Time, Timed Tests
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Kay, Robin H.; Knaack, Liesel – Canadian Journal of Learning and Technology, 2009
The purpose of this study was to examine individual differences in attitudes toward Audience Response Systems (ARSs) in secondary school classrooms. Specifically, the impact of gender, grade, subject area, computer comfort level, participation level, and type of use were examined in 659 students. Males had significantly more positive attitudes…
Descriptors: Audience Response, Gender Differences, Secondary School Students, Feedback (Response)
Andrist, Charlotte Giovanetti – 1991
The relationship between perceptual structure and individual differences in cognitive ability was studied through a computerized inductive reasoning task performed by 100 college undergraduates at Cleveland State University (Ohio). Measures included two psychometric tests and a set of four computerized cognitive tasks. Two components of perceptual…
Descriptors: Cognitive Structures, Cognitive Tests, Computer Assisted Testing, Higher Education
Tobias, Sigmund – 1984
Students' macroprocessing of instruction was studied in a learning situation which used adjunct questions. The subjects were offered various macroprocessing options while reading a passage on data processing and computer programming. Each sentence appeared on a computer CRT screen one at a time. The options included: (1) review any sentence or…
Descriptors: Advance Organizers, Aptitude Treatment Interaction, Computer Assisted Instruction, Computer Assisted Testing