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Silvia-Jessica Mostacedo-Marasovic; Cory T. Forbes – International Journal of Sustainability in Higher Education, 2024
Purpose: A faculty development program (FDP) introduced postsecondary instructors to a module focused on the food-energy-water (FEW) nexus, a socio-hydrologic issue (SHI) and a sustainability challenge. This study aims to examine factors influencing faculty interest in adopting the instructional resources and faculty experience with the FDP,…
Descriptors: Faculty Development, Learning Modules, Program Evaluation, Program Attitudes
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
A measure of similarity of educational items has many applications in adaptive learning systems and can be useful also for teachers and content creators. We provide a thorough overview of approaches for measuring item similarity. We document the computation pipeline, explicitly highlighting many choices that have to be made in order to quantify…
Descriptors: Educational Technology, Instructional Materials, Measurement Techniques, Differences
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Calver, Michael; Fletcher, Douglas – American Biology Teacher, 2020
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…
Descriptors: Statistical Analysis, Data Collection, Biology, Science Laboratories
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Jaggia, Sanjiv; Kelly, Alison; Lertwachara, Kevin; Chen, Leida – Decision Sciences Journal of Innovative Education, 2020
Experiential learning opportunities have been proven effective in teaching applied and complex subjects such as business analytics. Current business analytics pedagogy tends to focus heavily on the modeling phase with students often lacking a comprehensive understanding of the entire analytics process including dealing with real-life data that are…
Descriptors: Business Administration Education, Data Analysis, Information Retrieval, Experiential Learning
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Conrique, Beverly G.; McDade-Montez, Elizabeth; Anderson, Pamela M. – Community College Journal of Research and Practice, 2020
Online surveys are an efficient and relatively affordable way to collect data. However, there are issues associated with it, including potential fraudulent data due to accidental or deliberate duplicate entries. In this brief we describe a case study of deliberate duplicate entries in an ongoing study of community college students. Students from…
Descriptors: Data Collection, Data, Two Year College Students, Vocational Education
Aspen Institute, 2020
Even in "routine" years, the principal's attention to climate matters for wellness, and it matters for outcomes. School climate is a critical factor supporting the quality of student learning, particularly in times of stress. As a result, districts across the nation have dedicated considerable resources to tools used to assess climate,…
Descriptors: Educational Environment, Data Use, Educational Improvement, Equal Education
Richard Harris Hartwell – ProQuest LLC, 2020
To analyze educational outcomes or evaluate operations, academic institutions need to produce high-quality data. Unfortunately, many institutions do not have accurate, timely, and useful data and information despite investments to manage technology. Furthermore, data management issues in education, including access, quality, and ownership, inhibit…
Descriptors: Higher Education, Information Management, Data Analysis, Data Use
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Hutt, Stephen; Baker, Ryan S.; Ashenafi, Michael Mogessie; Andres-Bray, Juan Miguel; Brooks, Christopher – British Journal of Educational Technology, 2022
Learning analytics research presents challenges for researchers embracing the principles of open science. Protecting student privacy is paramount, but progress in increasing scientific understanding and improving educational outcomes depends upon open, scalable and replicable research. Findings have repeatedly been shown to be contextually…
Descriptors: Learning Analytics, Educational Research, Online Courses, Privacy
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Vatsalan, Dinusha; Rakotoarivelo, Thierry; Bhaskar, Raghav; Tyler, Paul; Ladjal, Djazia – British Journal of Educational Technology, 2022
With Big Data revolution, the education sector is being reshaped. The current data-driven education system provides many opportunities to utilize the enormous amount of collected data about students' activities and performance for personalized education, adapting teaching methods, and decision making. On the other hand, such benefits come at a…
Descriptors: Privacy, Risk, Data, Markov Processes
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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
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Debnam, Katrina J.; Edwards, Kelly; Maeng, Jennifer L.; Cornell, Dewey – Journal of School Leadership, 2022
National interest in using school climate as an accountability measure makes it important to understand how school leaders view and make use of school climate data. The purpose of this study was to investigate how school and district administrators use climate data in Virginia, where a statewide school climate survey is annually administered.…
Descriptors: Leadership, Administrator Attitudes, Data Use, Educational Environment
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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
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Beerkens, Maarja – Quality in Higher Education, 2022
Performance data in higher education has gone through a major development in the last few decades. Simple input measures have given way to increasingly nuanced and dynamic output measures and performance indicators have become an integral part of management at the organisational and system level. The evolution of higher education performance…
Descriptors: Higher Education, Governance, Data Use, College Administration
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