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Alana Hoare; Shannon Wagner; Catharine Dishke Hondzel – Educational Planning, 2024
Post-secondary institutions are required to complete a variety of quality assurance activities including external program review, a process of inviting external reviewers from outside the institution to provide constructive feedback on all aspects of an academic program. While external program reviews have been completed for decades, there has…
Descriptors: Educational Planning, Program Evaluation, Educational Quality, Quality Assurance
Jonas Videbaek Jørgensen – Evidence & Policy: A Journal of Research, Debate and Practice, 2024
Background: Understanding knowledge utilisation in policymaking is a core task for the social and political sciences. However, limitations and biases abound in commonplace approaches to measuring such use. Consequently, we have little systematic evidence of the extent to which knowledge sources are used in policy decisions. Aims and objectives:…
Descriptors: Research Utilization, Policy Formation, Measurement, Content Analysis
Kyle Robinson – ProQuest LLC, 2024
The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new,…
Descriptors: Teacher Persistence, COVID-19, Pandemics, Faculty Mobility
Abdullah Alshawi – ProQuest LLC, 2023
The digital age and global technological advancement have brought about unprecedented changes in a wide range of global sectors. The educational sector, as a sector that produces a wide range of professionals, necessitates numerous changes and advancements in educational administration. The introduction and integration of boot camps is one method…
Descriptors: Information Technology, Coding, Marketing, Models
Belur, Jyoti; Tompson, Lisa; Thornton, Amy; Simon, Miranda – Sociological Methods & Research, 2021
A methodologically sound systematic review is characterized by transparency, replicability, and a clear inclusion criterion. However, little attention has been paid to reporting the details of interrater reliability (IRR) when multiple coders are used to make decisions at various points in the screening and data extraction stages of a study. Prior…
Descriptors: Interrater Reliability, Decision Making, Accuracy, Coding
Jirong Yi – ProQuest LLC, 2021
We are currently in a century of data where massive amount of data are collected and processed every day, and machine learning plays a critical role in automatically processing the data and mining useful information from it for making decisions. Despite the wide and successful applications of machine learning in different fields, the robustness of…
Descriptors: Artificial Intelligence, Algorithms, Data, Classification
Anglin, Kylie; Boguslav, Arielle; Hall, Todd – Grantee Submission, 2020
Text classification has allowed researchers to analyze natural language data at a previously impossible scale. However, a text classifier is only as valid as the the annotations on which it was trained. Further, the cost of training a classifier depends on annotators' ability to quickly and accurately apply the coding scheme to each text. Thus,…
Descriptors: Documentation, Natural Language Processing, Classification, Research Design
Matthew Clauhs; Beatrice B. Olesko; Martina Vasil – Music Educators Journal, 2024
Modern band programs have spread throughout the United States to create learner-centered and culturally affirming school music experiences for children. The four key concepts of modern band, (1) approximation and scaffolding, (2) decision-making, (3) iconic notation, and (4) culturally sustaining (music education), are congruent with many…
Descriptors: Music Education, Elementary Schools, Musicians, Music Activities
Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
Anael Kuperwajs Cohen; Alannah Oleson; Amy J. Ko – ACM Transactions on Computing Education, 2024
Collaboration is an important aspect of computing. In a classroom setting, working with others can increase a student's motivation to attempt more challenges, reduce the difficulty of complicated concepts, and bring about greater overall success. Despite extensive research in other domains, there has been minimal exploration within computing on…
Descriptors: College Students, Help Seeking, Student Behavior, Programming
Gummer, Tobias; Blumenberg, Manuela S.; Roßmann, Joss – International Journal of Social Research Methodology, 2019
From the perspective of study management, research is surprisingly lacking on two of the major challenges for planning and performing content analysis: determining the sample size (i.e. number of objects to code) and the required number of coders to hire. The optimization of both of these numbers will ultimately determine how efficiently available…
Descriptors: Content Analysis, Sample Size, Coding, Research Administration
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Introducing High School Statistics Teachers to Predictive Modelling and APIs Using Code-Driven Tools
Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
Sanaa Shehayeb; Eman Shaaban; Jinan Karameh Shayya – International Society for Technology, Education, and Science, 2023
OECD (2019) defined student agency as the ability to set goals, reflect, and act responsibly to endorse change. It is quality of students' engagement and interaction with peers, teachers, parents and the wider community. The purpose of this research is to investigate and track the factors of promoting student agency and community engagement…
Descriptors: Personal Autonomy, High School Students, Student Attitudes, Foreign Countries
Ogallo, Godfrey G. – ProQuest LLC, 2018
The rapid advancement in information technology and the ubiquitous penetration of the Internet are heralding an experience in the world where every physical device is interconnect-able to other devices and the Internet. IoT forms the core of this new wave of ubiquitous technologies. This nascent technology is opening new and virtually…
Descriptors: Data, Decision Making, Higher Education, College Students