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Bruhn, Allison L.; Estrapala, Sara; Mahatmya, Duhita; Rila, Ashley; Vogelgesang, Kari – Behavioral Disorders, 2023
Data-based individualization (DBI) is a process of collecting and analyzing data on students' response to intervention and then making intervention adaptations accordingly. Although this process can lead to better student outcomes, very few teachers are trained in the components of DBI, particularly in relation to behavior. Improving practice…
Descriptors: Faculty Development, Teacher Attitudes, Data Collection, Data Analysis
Heilmann, John; Miller, Jon F. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs) collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research and development over the ensuing decades has culminated into SALT Solutions, a set of tools to assist SLPs to efficiently complete language sample analysis (LSA) with their…
Descriptors: Sampling, Language Usage, Data Analysis, Data Collection
Kearney, Christopher A.; Childs, Joshua – Preventing School Failure, 2023
School attendance/absenteeism (SA/A) is a crucial indicator of health and development in youth but educational policies and health-based practices in this area rely heavily on a simple metric of physical presence or absence in a school setting. SA/A data suffer from problems of quality (reliability, construct validity, data integrity) and utility…
Descriptors: Attendance, Educational Policy, Health, Improvement
Ho, Stephanie – LEARNing Landscapes, 2023
During a two-term observational study of my Secondary English Language Arts (ELA) class, I introduced "Surrealism" to the existing curriculum. Jot notes, personal interviews, and a self-study comprised my data strands. The COVID-19 pandemic struck shortly before my scheduled in-person interviews. This uncertainty disrupted my doctoral…
Descriptors: Interviews, COVID-19, Pandemics, Videoconferencing
Sahlgren, Otto – Learning, Media and Technology, 2023
As awareness of bias in educational machine learning applications increases, accountability for technologies and their impact on educational equality is becoming an increasingly important constituent of ethical conduct and accountability in education. This article critically examines the relationship between so-called algorithmic fairness and…
Descriptors: Algorithms, Accountability, Data Collection, Educational Policy
Cristina Rangel – ProQuest LLC, 2023
This dissertation was prepared to determine if a correlation existed between a student's poverty level and an educational diagnosis of serious emotional disturbance. I hypothesize that students at or under the United States' definition of poverty are more likely to exhibit signs and symptoms of a serious emotional disturbance and therefore be…
Descriptors: Socioeconomic Status, Educational Diagnosis, Emotional Disturbances, Correlation
Rivera, Bibiana – ProQuest LLC, 2023
Creating meaningful, supportive, and inclusive climates and situations that recognize and honor minoritized students' backgrounds and experiences while fostering a safe and welcoming learning environment and promoting minoritized student retention have become critical emphases of universities' efforts. Notably, minoritized student leaders have…
Descriptors: Student Leadership, Minority Group Students, Skill Development, Leadership Qualities
Muhammet Ibrahim Akyürek; Murat Akkoyun – International Journal of Contemporary Educational Research, 2023
In the study, the Principal-Teacher Relationship Scale, created originally by Zee, Roorda, and Hanna (2023), was subjected to an adaptation study for Turkish culture. In line with this aim, data for the study were gathered from 389 teachers working in primary and secondary schools located in the districts of Konya, Turkey. The Principal-Teacher…
Descriptors: Teacher Administrator Relationship, Principals, Foreign Countries, Validity
Region 11 Comprehensive Center, 2023
When a school district in North Dakota began having hard conversations about its struggling status, a simple, yet crucial, contributor to academic success became abundantly clear: student attendance. That conversation laid the groundwork for a districtwide project, enacted in partnership with the Region 11 Comprehensive Center (R11CC), North…
Descriptors: Rural Schools, Attendance, American Indian Students, At Risk Students
Arlene A. Russell; Jennifer R. Casey; Kristopher K. Barr – Journal of Chemical Education, 2023
We report here a successful adaptation of lab videos used during remote instruction to a kinetics experiment reported in this Journal in 2007. In the in-person lab, students now record their rate data on their cell phone cameras and then collect their data from the videos for their postlab reports; previously, they acquired the data in real time…
Descriptors: Chemistry, College Freshmen, College Science, Laboratory Experiments
Aziman Abdullah; Pang Jieyu – International Society for Technology, Education, and Science, 2023
It is essential to save lives during emergencies not only in hospitals but also in colleges and universities. Failure to identify risks and take prompt action during catastrophes and emergency situations could result in the loss of life and property for the campus community. This research aims to explore the feasibility of using data analytics to…
Descriptors: Emergency Programs, Information Technology, Planning, Higher Education
Ina Sander – Information and Learning Sciences, 2024
Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…
Descriptors: Foreign Countries, Media Literacy, Data, Critical Theory
Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
How Does Schooling Affect Inequality in Cognitive Skills? The View from Seasonal Comparison Research
Douglas B. Downey – Review of Educational Research, 2024
A small subset of education studies analyzes school data collected seasonally (separating the summer from the school year). At first, this work was primarily known for documenting learning loss in the summers, but scholars have since recognized that observing how inequality changes between summer and school periods provides leverage for…
Descriptors: Data Collection, Educational Research, Learning Analytics, Cognitive Ability
Mohammad Khalil; Paraskevi Topali; Alejandro Ortega-Arranz; Erkan Er; Gökhan Akçapinar; Gleb Belokrys – Technology, Knowledge and Learning, 2024
The use of videos in teaching has gained impetus in recent years, especially after the increased attention towards remote learning. Understanding students' video-related behaviour through learning (and video) analytics can offer instructors significant potential to intervene and enhance course designs. Previous studies explored students' video…
Descriptors: Foreign Countries, MOOCs, Distance Education, Online Courses