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Direct linkSeyma N. Yildirim-Erbasli; Guher Gorgun – Technology, Knowledge and Learning, 2025
Exploring the relationship between student ability and test-taking effort is an important area of study, offering insights into their approach to educational assessments. Previous research shows this relationship, yet there is a scarcity of research comparing the test-taking effort of students. In addition, researchers have frequently employed…
Descriptors: Ability, Test Wiseness, Predictor Variables, Student Reaction
Bebermeier, Sarah; Hagemann, Anne – Teaching of Psychology, 2019
We describe how students can be encouraged to actively review course contents on inferential statistics by creating application-oriented exercises and sample solutions on the basis of concrete and realistic research articles and their data. For evaluation purposes, we use students' reactions to the activity and investigate its effects on the final…
Descriptors: Statistics, Course Content, Statistical Inference, Learning Activities
Hopfenbeck, Therese N.; Maul, Andrew – International Journal of Testing, 2011
The aim of this study was to investigate response-process based evidence for the validity of the Programme for International Student Assessment's (PISA) self-report questionnaire scales as measures of specific psychological constructs, with a focus on scales meant to measure inclination toward specific learning strategies. Cognitive interviews (N…
Descriptors: Student Reaction, Learning Strategies, Validity, Questionnaires
Download full textStamper, 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
