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Melanie Butler – Assessment & Evaluation in Higher Education, 2025
This study explores the impact of three alternative grading systems--specifications grading, standards-based grading (SBG), and ungrading--on student motivation, engagement, stress, enjoyment, and perceptions of fairness. Quantitative and qualitative analyses were conducted with students from mathematics, computer science, and statistics courses.…
Descriptors: Grading, Student Motivation, Learner Engagement, Stress Variables
Fulya Kula; Nelly Litvak; Tracy S. Craig – IEEE Transactions on Education, 2024
The sample mean in statistics is a concept of great importance, with its properties being extensively utilized in other areas, such as computer science. This research centers on the concept of the sample mean and its characteristics in a cohort of computer engineering students undertaking a required course in statistics at a university in the…
Descriptors: Computer Science Education, Engineering Education, Learning Processes, Statistics
Starkey, Louise; Yates, Anne; de Roiste, Mairead; Lundqvist, Karsten; Ormond, Adreanne; Randal, John; Sylvester, Allan – Educational Technology Research and Development, 2023
Disciplines in Higher Education have their own interpretations of what is essential knowledge that influences what is taught, how teaching occurs, and the role of digital tools. Disciplinary culture is dynamic and evolving, informed by disciplinary research and technology improvement. During the COVID-19 pandemic, digital solutions enabled ongoing…
Descriptors: Undergraduate Study, College Faculty, Educational Technology, Statistics
Michael Joseph King – ProQuest LLC, 2022
This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1.What are the scientometric features of the data science field? 2.What are the contributing fields to the establishment of data science? 3.What are the major research areas of…
Descriptors: Data Science, Bibliometrics, Qualitative Research, Statistical Analysis
Custer, Gordon F.; van Diepen, Linda T. A.; Seeley, Janel – Natural Sciences Education, 2021
Quantitative literacy is necessary to keep pace with the exponentially increasing magnitude of biological data and the complexity of statistical tools. However, statistical programming can cause anxiety in new learners and educators alike. In order to produce graduates that are well-prepared for quantitative research, overcoming the initial…
Descriptors: Programming Languages, Computer Science Education, Student Attitudes, Time Management
Nyame, Faustina; Alhassan, Ibrahim; Alhassan, Abukari – Higher Education Studies, 2019
This paper examines students' perception of the impact of lecturers' ranks on their performance across departments in the Faculty of Mathematical Sciences (FMS) of the University for Development Studies (UDS), Navrongo Campus. The study used a self-designed structured questionnaire administered to 160 respondents (students) of the Faculty. All the…
Descriptors: Multivariate Analysis, Student Attitudes, Instructional Effectiveness, College Faculty
Grant, Robert – Statistics Education Research Journal, 2017
Statistical literacy, the ability to understand and make use of statistical information including methods, has particular relevance in the age of data science, when complex analyses are undertaken by teams from diverse backgrounds. Not only is it essential to communicate to the consumers of information but also within the team. Writing from the…
Descriptors: Data, Statistics, Numeracy, Artificial Intelligence
Koedinger, Kenneth R.; Scheines, Richard; Schaldenbrand, Peter – International Educational Data Mining Society, 2018
The "doer effect" is the assertion that the amount of interactive practice activity a student engages in is much more predictive of learning than the amount of passive reading or watching video the same student engages in. Although the evidence for a doer effect is now substantial, the evidence for a causal doer effect is not as well…
Descriptors: Online Courses, Time Management, Causal Models, Student Behavior
Margulieux, Lauren E.; Catrambone, Richard; Schaeffer, Laura M. – Instructional Science: An International Journal of the Learning Sciences, 2018
Originally intended as a replication study, this study discusses differences in problem solving performance among different domains caused by the same instructional intervention. The learning sciences acknowledges similarities in the learners' cognitive architecture that allow interventions to apply across domains, but it also argues that each…
Descriptors: Problem Solving, Intervention, Instructional Design, Programming
Rossman, Allan J.; Horton, Nicholas J. – Journal of Statistics Education, 2018
In this article Allan Rossman shares a conversation with Nicholas Horton, Beitzel Professor of Technology and Society and Professor of Statistics and Data Science at Amherst College. Horton is a Fellow of the American Statistical Association and the American Association for the Advancement of Science. Some topics of discussion included where…
Descriptors: Statistics, College Faculty, Undergraduate Study, Graduate Study
Guzman, Laura Melissa; Pennell, Matthew W.; Nikelski, Ellen; Srivastava, Diane S. – CBE - Life Sciences Education, 2019
Biostatistics courses are integral to many undergraduate biology programs. Such courses have often been taught using point-and-click software, but these programs are now seldom used by researchers or professional biologists. Instead, biology professionals typically use programming languages, such as R, which are better suited to analyzing complex…
Descriptors: Undergraduate Study, Statistics, Biology, College Science
Broatch, Jennifer E.; Dietrich, Suzanne; Goelman, Don – Journal of Statistics Education, 2019
Early exposure to data science skills, such as relational databases, is essential for students in statistics as well as many other disciplines in an increasingly data driven society. The goal of the presented pedagogy is to introduce undergraduate students to fundamental database concepts and to illuminate the connection between these database…
Descriptors: Statistics, Teaching Methods, Computer Software, Mathematics Instruction
Ghilay, Yaron – Journal of Educational Technology, 2018
The aim of the study was to examine the effectiveness of a model called Video-Based Learning (VBL). VBL is designed to improve the learning of higher education courses, especially those based on activities performed on a computer screen, or learning related to the understanding of visual objects, such as formulas, equations, diagrams, etc. The…
Descriptors: Interactive Video, Higher Education, Student Attitudes, Foreign Countries
Longenecker, Herbert H., Jr.; Babb, Jeffry; Waguespack, Leslie; Tastle, William; Landry, Jeff – Information Systems Education Journal, 2016
The evolution of computing education reflects the history of the professional practice of computing. Keeping computing education current has been a major challenge due to the explosive advances in technologies. Academic programs in Information Systems, a long-standing computing discipline, develop and refine the theory and practice of computing…
Descriptors: Failure, Information Systems, Computers, Statistics
Rivenbark, Jessica; Cummings, Jeff; Kline, Doug; Patterson, Laurie – Information Systems Education Journal, 2020
Since the early 2000s, we have seen an increase in the need for graduates in various STEM fields. The Professional Science Master's (PSM) program was created in 2001 to address this increased demand. While research has shown the benefits these programs may provide, there is limited research examining the current state of PSM programs. The current…
Descriptors: Professional Education, Masters Degrees, Educational Benefits, Program Effectiveness

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