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Ming Wang; Jun Zhan; Tao Hu – Journal of Information Systems Education, 2024
This study introduces a modular teaching framework for business data analytics (BDA) curricula and programs. The framework integrates gamification features of the SAP business processes, ERPsim Games, and SAP data warehousing into the experiential learning of BDA curricula. The pedagogical practices of deploying the framework in an undergraduate…
Descriptors: Business Education, Data Analysis, Gamification, Experiential Learning
Punyapa Boontam; Supakorn Phoocharoensil – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
In recent years, there has been growing interest in the use of data-driven learning (DDL) in L2 writing instruction. This paper examined whether and to what extent DDL activities could enhance the writing complexity, accuracy, and fluency (CAF) of 30 Thai EFL learners. The presentation of DDL in this study was hands-on concordancing with the…
Descriptors: Foreign Countries, English (Second Language), Data Use, Difficulty Level
Dany Flavio Tonelli; David Gibson – Industry and Higher Education, 2024
Third Mission (TM) drives universities to a purpose beyond their traditional role, especially in local socioeconomic and innovation ecosystems. To investigate the issue, we consider an exploratory and comparative study of two different governance systems of public universities (Southeast Brazil-region 1 and Texas-US-region 2). The comparison took…
Descriptors: Foreign Countries, Financial Policy, Administrative Organization, Universities
Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Grantee Submission, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Assessment for Effective Intervention, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
Zipi Diamond; Dana Bell; Sara Bernstein; Elizabeth Cavadel; Kyle DeMeo Cook; Stacy Ehrlich Loewe; Margaret Gillis; Hailey Heinz; Annalee Kelly; Gretchen Kirby; Michelle Maier; Heather Sandstrom; Kathryn Tout – Administration for Children & Families, 2024
The COVID-19 pandemic negatively impacted child care and early education (CCEE) programs and the families they serve. During the pandemic, researchers working in CCEE programs paused and then shifted their research strategies to adapt to the new context. In April 2023, Child Trends hosted a virtual convening with researchers from nine research…
Descriptors: Child Care, Early Childhood Education, Educational Research, COVID-19
Louisiana Department of Education, 2024
Act 419 of the 2021 Louisiana Legislative Session requires each public school governing authority to submit a report to the Louisiana Department of Education (LDOE) annually relative to the occurrence of dyslexia. Act 622 of the 2022 Louisiana Legislature updated the due date of the report to December 15 to better align with reporting cycles. The…
Descriptors: Dyslexia, State Legislation, Individualized Education Programs, Disability Identification
Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Avery H. Closser; Adam Sales; Anthony F. Botelho – Educational Technology Research and Development, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data to study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Knox, Jeremy – International Review of Education, 2018
This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of "learning" in MOOCs…
Descriptors: Online Courses, Mathematics, Learning, Data Collection
McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
Schrauf, Robert W. – Journal of Mixed Methods Research, 2018
Mixed methods, cross-cultural designs are a special case of the more general, mixed methods between-groups designs. The defining feature of mixed methods is the principled integration of qualitative and quantitative approaches, and cross-cultural comparison is premised on the systematic collection and analysis of data from two or more cultural…
Descriptors: Cross Cultural Studies, Mixed Methods Research, Comparative Analysis, Data Collection
Jo Boaler; Kira Conte; Ken Cor; Jack A. Dieckmann; Tanya LaMar; Jesse Ramirez; Megan Selbach-Allen – Journal of Statistics and Data Science Education, 2025
This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; that the students who take data science are more…
Descriptors: Mathematics Instruction, Opportunities, High School Students, Data Science
Jessica Arnold; Susan Hayes; Elizabeth Zagata – WestEd, 2025
Despite decades of tenacious advocacy and improvement efforts to expand and enshrine rights for students with disabilities, many students with individualized education programs (IEPs) still lack access to high-quality, effective learning opportunities. This can be due to a range of factors, including low expectations, exclusion from general…
Descriptors: Students with Disabilities, Equal Education, Student Evaluation, Evaluation Methods

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