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Chenausky, Karen V.; Maffei, Marc; Tager-Flusberg, Helen; Green, Jordan R. – Augmentative and Alternative Communication, 2023
The purpose of this paper was to review best-practice methods of collecting and analyzing speech production data from minimally verbal autistic speakers. Data on speech production data in minimally verbal individuals are valuable for a variety of purposes, including phenotyping, clinical assessment, and treatment monitoring. Both perceptual…
Descriptors: Best Practices, Data Collection, Speech Communication, Augmentative and Alternative Communication
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Tanabe, Kawai O.; Hayden, Meredith E.; Zunder, Barbara; Holstege, Christopher P. – Journal of American College Health, 2023
Objective: Persons with high-risk for severe COVID-19 illness require special attention when considering university operations during the novel coronavirus pandemic. The objective of this study was to determine the number of students who fall within a high-risk category according to Centers for Disease Control and Prevention (CDC) guidelines using…
Descriptors: College Students, COVID-19, Pandemics, At Risk Persons
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Moulaison-Sandy, Heather; Wenzel, André G. – portal: Libraries and the Academy, 2023
This conceptual article considers data used in the humanities and the human sciences, which are fundamentally different from data in other disciplines, such as the sciences or medicine. Data in the humanities are, however, equally important to study and understand. Humanists and others studying human artifacts often face the dual challenge of both…
Descriptors: Data Collection, Information Management, Humanities, Data Use
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Buitrago-Ropero, Mauricio Esteban; Ramírez-Montoya, María Soledad; Laverde, Andrés Chiappe – Interactive Learning Environments, 2023
Digital footprints (DF) offer relevant information about educational activities and processes related to strategies of academic assessment, identification of skills and psychological traits of students, and permanence and dropout trends, etc. This study analyzes scientific evidence on the use of DF in education, and shows the results of a…
Descriptors: Educational Technology, Technology Uses in Education, Learning Analytics, Social Networks
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Tidwell, Will; Anhalt, Cynthia Oropesa; Cortez, Ricardo; Kohler, Brynja R. – PRIMUS, 2023
This article presents a mathematical modeling activity for students related to the process of memorization in which students collect their own data to drive their model development, parameterization, and validation. Engaging in the data collection gives them insight to critique and evaluate various models. This task is a low-floor high ceiling…
Descriptors: Mathematical Models, Memorization, Data Collection, Mathematics Activities
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Yavuz Akbulut; Abdullah Saykili; Aylin Öztürk; Aras Bozkurt – International Review of Research in Open and Distributed Learning, 2023
Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…
Descriptors: Measurement Techniques, Electronic Learning, Distance Education, Open Education
Desiree Walton – ProQuest LLC, 2023
Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…
Descriptors: Data Analysis, Data Collection, Construction Industry, Construction Management
Tanaz Christina Arteaga – ProQuest LLC, 2023
College students complete end-of-term surveys during their undergraduate education to report on their experiences of curriculum, faculty, and overall course satisfaction. Significant decisions are based on these surveys' results, despite limited and potentially unrepresentative results. Low student response rates on digital, electronic course…
Descriptors: Case Studies, Models, Response Rates (Questionnaires), Data Collection
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Rebecca Smith; Cathie Bush; Andrea Cooper; Sarah Fedoration; Maureen Ference; Sharon Fischer; Janice Francis; Karen Gartner; Sherri Humphrys; Camille Loken; Bev Lyseng; Randy Lyseng; Janice Muench; Nicole Ralston; Kate Syson – Impacting Education: Journal on Transforming Professional Practice, 2023
The purpose of this research project was to explore doctoral student learning and development as scholarly practitioners through one innovative method: a course-based self-study. This self-study empowered doctoral candidates in three key forms of data collection: 1) two project-based course assignments; 2) a survey on course-based student…
Descriptors: Foreign Countries, Doctoral Students, Scholarship, Scaffolding (Teaching Technique)
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Rhona Stallard; Emeritus Noírín Hayes; Ann Marie Halpenny – Irish Educational Studies, 2023
Current approaches to research in the field of Early Childhood Education and Care (ECEC), in particular in relation to methods designed to interrogate policy and practice developments, tend not to focus on gathering empirical data through collaborative networks. This article provides a critical reflection on a novel qualitative methodological…
Descriptors: Early Childhood Education, Child Care, Stakeholders, Attitudes
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Jen Munson; Erin E. Baldinger – Journal of the Learning Sciences, 2023
Background: Emotions are inherently intertwined with learning and disciplinary identity, and this relationship demands that teachers attend and respond to students' emotions. In this study, we forward a theory that the development of "pedagogical empathy," or the capacity to understand the implications of student emotions and use…
Descriptors: Educational Practices, Psychological Patterns, Empathy, Decision Making
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Abraham R. Matamanda – International Journal of Social Research Methodology, 2023
Urban planning research usually requires researchers to undertake fieldwork. This fieldwork is frustrated or enabled by gatekeepers who can influence effective data collection. Traditionally, gatekeepers are perceived as monolithic, neutral, and static individuals, yet they are complex individuals with varying needs and expectations from the…
Descriptors: Politics, Urban Planning, Land Settlement, Social Science Research
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Hugo Y. Samayoa-Oviedo; Samantha A. Mehnert; Michael F. Espenship; Miranda R. Weigand; Julia Laskin – Journal of Chemical Education, 2023
In both general chemistry and analytical chemistry courses, students are introduced to the concept of predominant species in solution when discussing acid/base chemistry. Speciation diagrams are often used to illustrate the concept and predict the relative abundance of species in solution. Herein, we describe a laboratory experiment for an…
Descriptors: Chemistry, Spectroscopy, Measurement, Visual Aids
Benjamin Rieth – New England College Journal of Applied Educational Research, 2023
Talking circles, also known as sharing circles, have been used in ceremonies for hundreds of years. Rooted in Indigenous values and knowledge systems emphasizing interconnectedness and responsibility to community, participants share power through storytelling, empowering each participant to share what they want in a non-judgmental environment,…
Descriptors: Research Methodology, Indigenous Knowledge, Story Telling, Personal Narratives
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Xing, Wanli; Du, Dongping; Bakhshi, Ali; Chiu, Kuo-Chun; Du, Hanxiang – IEEE Transactions on Learning Technologies, 2021
Predictive modeling in online education is a popular topic in learning analytics research and practice. This study proposes a novel predictive modeling method to improve model transferability over time within the same course and across different courses. The research gaps addressed are limited evidence showing whether a predictive model built on…
Descriptors: Electronic Learning, Bayesian Statistics, Prediction, Models
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