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Samantha R. Bradley – ProQuest LLC, 2024
Institutional researchers are acutely aware of the systemic inequities pervasive throughout higher education in the United States because the data that we collect, analyze, visualize, and disseminate quantifies and reveals them. As calls for addressing issues of equity have intensified across campuses, the question of how institutional research…
Descriptors: Institutional Research, Institutional Evaluation, Visual Aids, Design
Layers of Identity: Rethinking American Indian and Alaska Native Data Collection in Higher Education
Janiel Santos; Amanda R. Tachine – Institute for Higher Education Policy, 2024
All people deserve the opportunity to earn a better living and build a better life for themselves, their families, and their communities through a postsecondary education. But that opportunity is not available equally to all in the United States, and current postsecondary data sets and collection practices at the federal, state, and institutional…
Descriptors: Alaska Natives, American Indians, Higher Education, Data Collection
Htay-Wah Saw; Brady T. West; Mick P. Couper; William G. Axinn – Field Methods, 2024
The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel…
Descriptors: National Surveys, Data Collection, Experimenter Characteristics, Participant Characteristics
Nica Basuel; Rohan Carter-Rau; Molly Curtiss Wyss; Maya Elliott; Brad Olsen; Tracy Olson; Mónica Rodríguez – Center for Universal Education at The Brookings Institution, 2024
To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…
Descriptors: Scaling, Equal Education, Educational Innovation, Data Collection
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Sunil Dehipawala; Tak Cheung – International Society for Technology, Education, and Science, 2024
The education science (or pedagogy based on scientific principles) of the learning of spectroscopy analysis in terms of critical thinking was examined in a community college setting with high school outreach and senor college transfer students enrolling in courses and/or projects. The most important discovery of science in the 20th Century was the…
Descriptors: Spectroscopy, Critical Thinking, Community Colleges, Science Instruction
J. Vincent Nix; Yi-Chin Wu; Lan Misty Song; Joseph D. Levy – Research & Practice in Assessment, 2024
Traditionally, assessment professionals use analyses relying upon null hypothesis significance testing (NHST), but those tools have limitations when analyzing small samples or disaggregated data. This study used common NHST analytical techniques, compared their results, and then explored an alternative technique that perhaps allows for a more…
Descriptors: Sample Size, Statistical Significance, MOOCs, Geographic Location
Bakhshi, Hossein; Weisi, Hiwa; Yousofi, Nouroddin – Journal of Applied Research in Higher Education, 2022
Purpose: This paper explores the challenges of conducting qualitative research from ELT (English Language Teaching) Ph.D. candidates' perspectives. Design/methodology/approach: The participants of the study consisted of 30 Iranian Ph.D. students majoring in ELT. The semi-structured interview was employed to investigate the heart of experiences,…
Descriptors: Graduate Students, Student Attitudes, Second Language Instruction, English (Second Language)
Theisen, Cara H.; Paul, Cassandra A.; Roseler, Katrina – Journal of College Science Teaching, 2022
The Student Participation Observation Tool (SPOT) is a web-based classroom observation protocol developed for higher education STEM courses and based on research on evidence-based practices. The low-inference and objective nature of the SPOT and visual outputs make it an optimal tool for teaching professional development. The SPOT allows novice…
Descriptors: Reflective Teaching, Student Participation, Classroom Observation Techniques, Web Based Instruction
Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana – Journal of Education for Business, 2022
The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…
Descriptors: Data Analysis, Employment Qualifications, Higher Education, Curriculum Development
De Silva, Liyanachchi Mahesha Harshani; Chounta, Irene-Angelica; Rodríguez-Triana, María Jesús; Roa, Eric Roldan; Gramberg, Anna; Valk, Aune – Journal of Learning Analytics, 2022
Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…
Descriptors: College Students, Dropouts, Dropout Prevention, Data Analysis
Barnes, Nicole; Brighton, Catherine M.; Fives, Helenrose; Meyers, Coby; Moon, Tonya R. – Theory Into Practice, 2022
Data use has gained policy traction at the federal, state, and local levels in the United States and internationally, and is now embedded in teacher, principal, and district leader standards in the U.S. However, many decisions implemented in policy and practice are being made on insufficient evidence and assume a relatively straightforward,…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Policy
Gurney, Laura, Ed.; Wang, Yi, Ed.; Barnard, Roger, Ed. – Routledge Research in Education, 2022
The book provides a grounded, narrative exploration of contemporary qualitative PhD research in the fields of language education and applied linguistics. The chapters are authored by current and former PhD candidates studying in New Zealand, with commentaries from international experts in the field. The book contains ten chapters in addition to…
Descriptors: Doctoral Students, Student Research, Applied Linguistics, Second Language Instruction
Cerna, Oscar; Dukes, Dominique; Perera, Sumner – MDRC, 2022
Implementing institution-wide, systemic change is typically a long and often challenging task for college leaders to undertake. Because each institution is different, the combination of internal and external factors that drive institutional change can vary greatly from college to college, and from moment to moment. Achieving the Dream (ATD), which…
Descriptors: Organizational Change, Achievement Gap, Colleges, Community Colleges
Z. W. Taylor; Joshua Childs – Sage Research Methods Cases, 2022
This case study explains how to gather web metrics to measure the size, investment, and popularity of K-12 school system and higher education websites. This case study will first explain and define web metrics in detail, such as keywords, traffic, search engine optimization, and other terminology crucial for educational researchers to understand…
Descriptors: Search Engines, Evaluation, Web Sites, Educational Researchers

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