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Watson, Jane; Fitzallen, Noleine; Wright, Suzie; Kelly, Ben – International Journal of Science and Mathematics Education, 2023
This report focuses on the ways in which 36 Grade 4 students recognized, explained, described, and employed variation during interviews conducted 1 month after participating in STEM-based activities in which they tested, adjusted, and re-tested catapults. An inductive thematic methodology was used for analysis of the interview transcripts to…
Descriptors: Elementary School Students, Grade 4, STEM Education, Student Attitudes
Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
Amanda M. Rudolph; Shaqwana Freeman-Green; Laurel Byrne; Emma Savage-Davis; Lianne M. Jones; Jamia Thomas-Richmond – New Educator, 2024
Milner (2012) defines opportunity gaps as the uncontrollable factors such as race, language, or economic status that can impact students' success in schools. Rather than placing focus on students' achievement, examinations of opportunity gaps emphasize the systems and structures that may contribute to disparities in student outcomes. The…
Descriptors: College Freshmen, First Year Seminars, Career Choice, Teacher Shortage
Dunlap, Jill; Palmer, Iris; Wesley, Alexa – New America, 2021
The use of student data to inform decision-making and communication is still evolving in higher education. Often missing from campus conversations about use of student data are student voices about their preferences and needs. NASPA and New America engaged in a joint research effort to better understand student perceptions of data use within…
Descriptors: Data Use, Student Attitudes, Decision Making, Trust (Psychology)
Yulei Gavin Zhang; Mandy Yan Dang; M. David Albritton – Journal of Information Systems Education, 2024
The current study details the development of an undergraduate business analytics course that combines components of both active and experiential learning. The course offering is designed to expose students from different backgrounds to an intermediate-to-advanced level of business analytics. The course is unique in that it was designed to be…
Descriptors: Information Retrieval, Data Analysis, Undergraduate Students, Active Learning
Hushman, Glenn Foster; Hushman, Carolyn J.; Gaudreault, Karen Lux – AERA Online Paper Repository, 2019
Lawson (1983a) offered that an individuals' experiences as students in schools are significant in shaping their views of teaching. Pajares (1992) argued that a teacher's perceptions of the classroom are a product of their experiences as students. The purpose of this study was to examine the relationship between physical education (PE) pre-service…
Descriptors: Physical Education Teachers, Preservice Teachers, Student Attitudes, Student Evaluation
Jennings, Austin S. – Action in Teacher Education, 2023
Contemporary research on preservice teachers' data use opportunities, coursework, and interventions typically focuses on preservice teachers' perceptions about data use comfort, confidence, and preparedness. Despite the contribution of such research to understanding the efficacy of approaches to teacher preparation, understanding preservice…
Descriptors: Preservice Teachers, Student Attitudes, Academic Achievement, Accountability
Gyamfi, George; Hanna, Barbara; Khosravi, Hassan – Assessment & Evaluation in Higher Education, 2022
Engaging students in the creation of learning resources is an effective way of developing a repository of revision items. However, a selection process is needed to separate high- from low-quality resources as some of the materials created by students can be ineffective, inappropriate or incorrect. In this study, we share our experiences and…
Descriptors: Peer Evaluation, Student Developed Materials, Educational Technology, Scoring
Wesley Jeffrey; Benjamin G. Gibbs – Research in Higher Education, 2024
While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about "why" students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in…
Descriptors: College Applicants, Socioeconomic Status, Socioeconomic Influences, College Choice
West, Paige; Paige, Frederick; Lee, Walter; Watts, Natasha; Scales, Glenda – Journal of Civil Engineering Education, 2022
The expansion of online learning in higher education has both contributed to researchers exploring innovative ways to develop learning environments and created challenges in identifying student interactions with course material. Learning analytics is an emerging field that can identify student interactions and help make data-informed course design…
Descriptors: Learning Analytics, Student Attitudes, Electronic Learning, Construction Management
Asamoah, Daniel – International Journal of Education and Development using Information and Communication Technology, 2022
It is unclear whether the data visualization skills possessed by data-centric practitioners reflect recent advances in computing systems and visual design principles, and their role in generating relevant and insightful output to support decision-making. In this study, the author presents a curriculum designed for teaching basic and advanced…
Descriptors: Visual Aids, Data Analysis, Curriculum Design, Teaching Methods
Nina R. Wilson-Keenan – ProQuest LLC, 2022
Financial Aid Awards for first-time college students include a variety of offerings, including scholarships, grants, and loans. One award of financial assistance, Federal Work-study, is different from other types of financial aid awarded in that students must work to earn the funds. Yet, it is included as estimated financial assistance (EFA) and…
Descriptors: Work Study Programs, Student Financial Aid, College Students, Financial Support
Tomás Bautista-Godínez; Gerardo Castañeda-Garza; Ricardo Pérez Mora; Hector G. Ceballos; Verónica Luna de la Luz; J. Gerardo Moreno-Salinas; Irma Rocío Zavala-Sierra; Roberto Santos-Solórzano; Carlos Iván Moreno Arellano; Melchor Sánchez-Mendiola – Journal of Learning Analytics, 2024
The adoption of learning analytics (LA) in higher education institutions (HEIs) in Mexico is still at an early stage despite increasing global interest and advances in the field. The use of educational data remains a challenging puzzle for many universities, which strive to provide students, teachers, and institutional administrators with…
Descriptors: Foreign Countries, Learning Analytics, Universities, Program Implementation
Regional Educational Laboratory Mid-Atlantic, 2024
These are the appendixes for the report, "Strengthening the Pennsylvania School Climate Survey to Inform School Decisionmaking." This study analyzed Pennsylvania School Climate Survey data from students and staff in the 2021/22 school year to assess the validity and reliability of the elementary school student version of the survey;…
Descriptors: Educational Environment, Surveys, Decision Making, School Personnel
Kelly Findley; Brein Mosely; Aaron Ludkowski – Statistics Education Research Journal, 2023
Reform efforts in statistics education emphasize the need for students to develop statistical thinking. Critical to this goal is a solid understanding of design in the process of collecting data, evaluating evidence, and drawing conclusions. We collected survey responses from over 700 college students at the start of an introductory statistics…
Descriptors: Thinking Skills, Statistics Education, Attribution Theory, Generalization