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LoGiudice, Andrew B.; Norman, Geoffrey R.; Manzoor, Saba; Monteiro, Sandra – Advances in Health Sciences Education, 2023
Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course content rather than memorizing details. So widespread is this perspective that Likert-style inventories are now routinely administered to students to quantify how much a given course or curriculum evokes deep learning. The predictive validity of…
Descriptors: Learning Processes, Transfer of Training, Likert Scales, Generalization
Erbas, Mustafa Kayihan – Journal of Education and Learning, 2021
This study aimed to determine the relationship between the teaching efficacy of physical education teacher candidates and their teaching-learning conceptions and to determine the validity of the level of teaching efficacy predicting teaching-learning conceptions. The study group consisted of 433 teacher candidates studying in physical education…
Descriptors: Predictive Validity, Student Attitudes, Preservice Teachers, Teaching Methods
Benham, Harry C.; Bielinska-Kwapisz, Agnieszka; Brown, F. William – Research in Higher Education Journal, 2013
This study's objective is to determine if students who were unable to successfully complete a required sophomore level business software applications course encountered unique academic difficulties in that course, or if their difficulty signaled more general academic achievement problems in business. The study points to the importance of including…
Descriptors: Academic Achievement, Computer Software, Business Administration Education, Predictive Validity
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Peifer, Nancy – ProQuest LLC, 2012
The purpose of this study was to contribute to the academic discussion regarding the validity of Multiple Intelligences (MI) theory through focusing on the validity of an important construct embedded in the theory, that of congruence between instructional style and preferred MI style for optimal learning. Currently there is insufficient empirical…
Descriptors: Multiple Intelligences, Psychometrics, Test Construction, Program Validation
Rotgans, Jerome; Schmidt, Henk – Educational Studies, 2009
The purpose of the present study was to investigate to what extent self-regulated learning (SRL) is context-dependent. The "Motivated Strategies for Learning Questionnaire" (MSLQ) was repeatedly administered to 155 first-year students at a Singaporean polytechnic--a general version of the MSLQ before students entered the polytechnic and…
Descriptors: Academic Achievement, Predictive Validity, Structural Equation Models, Context Effect
Cruce, Ty M.; Wolniak, Gregory C.; Seifert, Tricia A.; Pascarella, Ernest T. – Journal of College Student Development, 2006
This study estimated separately the unique effects of three dimensions of good practice and the global effects of a composite measure of good practices on the cognitive development, orientations to learning, and educational aspirations of students during their first year of college. Analyses of longitudinal data from a representative sample of…
Descriptors: Cognitive Development, Academic Aspiration, Orientation, College Freshmen
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring

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