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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
Jowett, Sophia; Warburton, Victoria E.; Beaumont, Lee C.; Felton, Luke – British Journal of Educational Psychology, 2023
Background: The Teacher-Student relationship (TSR) is instrumental for young children and adolescents' socio-emotional development and wellbeing as well as academic engagement and progress. Aims: The primary aim of this study was to test the psychometric properties, including reliability and factorial, convergent, and predictive validity, of the…
Descriptors: Foreign Countries, Secondary School Students, Physical Education Teachers, Mathematics Teachers
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
Lee, Jihyun; Chen, Minge – EURASIA Journal of Mathematics, Science and Technology Education, 2019
This study presents empirical findings demonstrating predictive validities of noncognitive variables for mathematics achievement among primary and secondary school students from cross-country perspectives. Results based on TIMSS 2015 assessment showed that confidence was a moderately strong predictor of mathematics achievement in all TIMSS…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Mathematics Tests
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice – Grantee Submission, 2014
Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of…
Descriptors: Simulation, Transfer of Training, Bayesian Statistics, Inquiry
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
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
Ho, Li-An; Kuo, Tsung-Hsien – Australian Educational Researcher, 2009
This paper draws on the concept and process of deeper learning, namely the U theory (Senge, Scharmer, Jaworski, & Flowers, 2004a). As a driver to get a deeper exploration of organisational change process, the theory of U goes beyond the interpersonal aspects of learning, instead focusing on a deeper personal generative learning that emphasizes…
Descriptors: Statistical Data, Correlation, Foreign Countries, Social Influences
Thompson, Bruce – Measurement and Evaluation in Guidance, 1979
The Analysis of Learning Potential was developed to assist counselors and teachers to formulate more realistic academic expectations in view of the pupil's estimated learning potential. Results of the study suggest that the instrument does have the predictive characteristics that might be expected of a general academic aptitude measure. (Author)
Descriptors: Academic Aptitude, Counselors, Elementary Education, Learning Processes
Peer reviewedFung, Y. H.; And Others – British Journal of Educational Technology, 1993
Describes a study of Chinese undergraduate students at the Hong Kong Polytechnic that was conducted to examine the reliability and predictive validity of a short form of Honey and Mumford's Learning Styles Questionnaire. Correlations between learning style scores and preferences for different types of learning activities are discussed. (16…
Descriptors: Chinese, Cognitive Style, Correlation, Foreign Countries
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

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