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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Research on Educational Effectiveness, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making
Beckman, Matthew D.; Çetinkaya-Rundel, Mine; Horton, Nicholas J.; Rundel, Colin W.; Sullivan, Adam J.; Tackett, Maria – Journal of Statistics and Data Science Education, 2021
A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This article describes experiences and…
Descriptors: Statistics Education, Data Analysis, Teaching Methods, Graduate Students
Maranga, Jemar Jude A.; Matugas, Leilla Keith J.; Lim, Jorge Frederick W.; Romana, Cherry Lyn C. Sta. – International Association for Development of the Information Society, 2019
Teaching an introductory programming course to an average of 40 students while monitoring their performance can be a challenge for instructors. Preparing coding exercises with test cases and checking students' programs can prove to be time consuming at times. Moreover, programming has been known to be quite difficult for students to learn. To…
Descriptors: Online Courses, Programming Languages, Introductory Courses, Computer Science Education
Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
Kazakoff, Elizabeth; Bers, Marina – Journal of Educational Multimedia and Hypermedia, 2012
This paper examines the impact of computer programming of robots on sequencing ability in early childhood and the relationship between sequencing skills, class size, and teacher's comfort level and experience with technology. Fifty-eight children participated in the study, 54 of whom were included in data analysis. This study was conducted in two…
Descriptors: Kindergarten, Developmentally Appropriate Practices, Programming Languages, Sequential Approach

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