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Gorvine, Benjamin J.; Smith, H. David – Teaching of Psychology, 2015
This study describes the use of a collaborative learning approach in a psychological statistics course and examines the factors that predict which students benefit most from such an approach in terms of learning outcomes. In a course format with a substantial group work component, 166 students were surveyed on their preference for individual…
Descriptors: Prediction, Predictive Measurement, Success, Psychology
Secora, Kristen; Smith, David H. – Teaching and Learning in Communication Sciences & Disorders, 2023
Although pedagogy focused on social justice, power, and privilege have been included in teacher preparatory programs for a number of years, such topics are much newer and relatively unexplored within the context of Communication Sciences and Disorders (CSD) preprofessional programs. This reflection provides information on use of a living document…
Descriptors: Social Justice, Undergraduate Students, Audiology, Speech Language Pathology
Lawyer, Gloshanda; Shahan, Cheryl; Holcomb, Leala; Smith, David H. – Odyssey: New Directions in Deaf Education, 2020
Social justice in education means that educators can be agents for bringing equity into the everyday lives of people at every level of society. In order for equity to be obtained, teachers and other school personnel must be able to recognize inequities in all forms, including but not limited to gender, race, class, ability, and language.…
Descriptors: Social Justice, Teacher Education Programs, Equal Education, Gender Bias
Fowler, Max; Smith, David H., IV; Hassan, Mohammed; Poulsen, Seth; West, Matthew; Zilles, Craig – Computer Science Education, 2022
Background and Context: Lopez and Lister first presented evidence for a skill hierarchy of code reading, tracing, and writing for introductory programming students. Further support for this hierarchy could help computer science educators sequence course content to best build student programming skill. Objective: This study aims to replicate a…
Descriptors: Programming, Computer Science Education, Correlation, Introductory Courses
Hao, Qiang; Smith, David H.; Iriumi, Naitra; Tsikerdekis, Michail; Ko, Andrew J. – ACM Transactions on Computing Education, 2019
As the societal demands for application and knowledge in computer science (CS) increase, CS student enrollment keeps growing rapidly around the world. By continuously improving the efficacy of computing education and providing guidelines for learning and teaching practice, computing education research plays a vital role in addressing both…
Descriptors: Computer Science Education, Educational Improvement, Guidelines, Teaching Methods
Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis