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M. Nazir; A. Noraziah; M. Rahmah – International Journal of Virtual and Personal Learning Environments, 2023
An effective educational program warrants the inclusion of an innovative construction that enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational decision support system has currently been a hot topic in educational systems, facilitating the pupil…
Descriptors: Data Analysis, Academic Achievement, Artificial Intelligence, Prediction
Nicole M. Dalzell; Ciaran Evans – Journal of Statistics and Data Science Education, 2023
Statistical competitions like ASA DataFest and the Women in Data Science (WiDS) Datathon give students valuable experience working with real, challenging data. By participating, students practice important statistics and data science skills including data wrangling, visualization, modeling, communication, and teamwork. However, while advanced…
Descriptors: Access to Education, Readiness, Statistics Education, Competition
Danny L'Boy; R. Nazim Khan – International Journal of Mathematical Education in Science and Technology, 2023
Statistical literacy has a large and important role in the teaching of statistics. Most mathematics and statistics courses are hierarchical, and the earlier material forms the foundation for later material. We construct a hierarchical structure for an introductory statistics course using Rasch analysis of the student scripts for the final…
Descriptors: Statistics Education, Statistics, Literacy, Introductory Courses
Greg R. Johnson; Melanie D. Janzen – Critical Education, 2023
In 2009, John Hattie's book Visible Learning: A Synthesis of over 800 Meta-Analyses Relating to Achievement brought big data to education. In the decade and a half since Visible Learning was originally published it has been aggressively marketed and has now grown into a large suite of branded books, tools, and products. Visible Learning continues…
Descriptors: Literary Criticism, Meta Analysis, Data Use, Data Analysis
Yi, Zhihui; Schreiber, James B.; Paliliunas, Dana; Barron, Becky F.; Dixon, Mark R. – Journal of Behavioral Education, 2021
The recent commentary by Beaujean and Farmer (2020) on the original paper by Dixon et al. (2019) serves a cautionary tale of selective p-values, the law of small N sizes, and the type-II error. We believe these authors have crafted a somewhat questionable argument in which only 57% of the original Dixon et al. data were re-analyzed, based on a…
Descriptors: Research Problems, Data Analysis, Statistical Analysis, Probability
Marciano, Joanne E.; Beymer, Alecia – English Teaching: Practice and Critique, 2022
Purpose: The purpose of this paper is to examine how youth from varied cultural and socioeconomic backgrounds came together to collaboratively analyze data they collected across two research projects in a community-based Youth Participatory Action Research (YPAR) initiative, a less understood aspect of YPAR. Specifically, this study discusses how…
Descriptors: Data Analysis, Participatory Research, Action Research, Youth
Goffin, Evelyn; Janssen, Rianne; Vanhoof, Jan – Review of Education, 2022
Formal achievement data such as test scores and school performance feedback from standardised assessments can be a powerful tool for data-based decision making and school improvement. However, teachers' and school leaders' usage of these data is not necessarily straightforward or predictable. In order to illuminate how educational professionals…
Descriptors: Teacher Attitudes, Administrator Attitudes, Academic Achievement, Data Analysis
Burns, Timothy; Sherman, Cherie – Information Systems Education Journal, 2022
This article presents the details of a business analytics minor that we created at our institution in the fall of 2019. In the two years since, our program has successfully met our enrollment goals. Out of over 50 minors offered at our institution, our business analytics minor is currently ranked fourth in enrollment. In this article we will…
Descriptors: Curriculum Development, Business Administration Education, Data Analysis, Course Descriptions
Savaiano, Mackenzie E.; Shanahan Bazis, Pamela; Hebert, Michael; Rodgers, Derek B.; Bosilevac, Madison; Leutzinger, Bridget; Thompson, Madison – Journal of Visual Impairment & Blindness, 2022
Introduction and Methods: We do not have an accurate count of the number of teachers of students with visual impairments working in the field, and it is a difficult number to estimate. As part of a national survey, states were contacted to estimate how many teachers of students with visual impairments are working in the United States and compared…
Descriptors: Visual Impairments, Computation, Data Analysis, Students
Vance, Eric A.; Alzen, Jessica L.; Smith, Heather S. – Journal of Statistics and Data Science Education, 2022
Statisticians and data scientists have been called upon to increase the impact they have through their collaborative projects. Statistics and data science practitioners and their educators can achieve and enable greater impact by learning how to create shared understanding with their collaborators as well as teaching this concept to their…
Descriptors: Statistics Education, Data Analysis, Teaching Methods, Misconceptions
Praveen Kumar Guraja – ProQuest LLC, 2022
Public higher education in the United States (US) is funded through two primary forms: one is through state higher education appropriation funds, and the other is student financial aid that is directly given to students. Increasing postsecondary full-time equivalent (FTE) enrollment and graduation rate are becoming a crucial economic priority in…
Descriptors: Data Analysis, Budgeting, Retrenchment, Public Colleges
Randy G. Floyd; Sequoya A. Fitzpatrick; Patrick J. McNicholas; Nikita M. Pike – School Psychology, 2024
"Best Practices in School Psychology" is one of the most influential books in school psychology history. Originally published in 1985 by Thomas and Grimes, it was the first book offered by the National Association of School Psychologists. Its six editions have been revised every 5-8 years. Utilizing Publish or Perish as well as…
Descriptors: Bibliometrics, School Psychology, Best Practices, Research Reports
Nathan Helsabeck; Jessica A. R. Logan – International Journal of Research & Method in Education, 2024
Assessing student achievement over multiple years is complicated by students' memberships in shifting upper-level nesting structures. These structures are manifested in (1) annual matriculation to different classrooms and (2) mobility between schools. Failure to model these shifting upper-level nesting structures may bias the inferences…
Descriptors: Academic Achievement, Student Evaluation, Growth Models, Data Analysis
Khalid, Mohammad; Akanmu, Abiola; Murzi, Homero; Lee, Sang Won; Awolusi, Ibukun; Manesh, Daniel; Okonkwo, Chinedu – Journal of Civil Engineering Education, 2024
Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects for data-driven solutions to address emerging construction challenges and enhance performance across project life cycles…
Descriptors: Construction Industry, Engineering, Job Skills, Measurement Equipment
Pornphan Sureeyatanapas; Panitas Sureeyatanapas; Uthumporn Panitanarak; Jittima Kraisriwattana; Patchanan Sarootyanapat; Daniel O'Connell – Language Testing in Asia, 2024
Ensuring consistent and reliable scoring is paramount in education, especially in performance-based assessments. This study delves into the critical issue of marking consistency, focusing on speaking proficiency tests in English language learning, which often face greater reliability challenges. While existing literature has explored various…
Descriptors: Foreign Countries, Students, English Language Learners, Speech