NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Teaching and Learning to Construct Data-Based Decision Trees Using Data Cards as the First Introduction to Machine Learning in Middle School
Peer reviewed Peer reviewed
Direct linkDirect link
Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
A Reanalysis: SRSS-IE Internalizing Cut Scores to Support Data-Informed Decision-Making Efforts in Elementary Schools
Peer reviewed Peer reviewed
Direct linkDirect link
Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
An Analysis of SRSS-IE Externalizing Cut Scores to Facilitate Data-Informed Decision-Making in K-12 Schools
Peer reviewed Peer reviewed
Direct linkDirect link
Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
Artificial Intelligence and Multimodal Data in the Service of Human Decision-Making: A Case Study in Debate Tutoring
Peer reviewed Peer reviewed
Direct linkDirect link
Cukurova, Mutlu; Kent, Carmel; Luckin, Rosemary – British Journal of Educational Technology, 2019
The question: "What is an appropriate role for AI?" is the subject of much discussion and interest. Arguments about whether AI should be a "human replacing" technology or a "human assisting" technology frequently take centre stage. Education is no exception when it comes to questions about the role that AI should…
Descriptors: Artificial Intelligence, Data Use, Decision Making, Debate
Findings of the OER Course Marking Landscape Analysis Survey. Policy Report
PDF on ERIC Download full text
Gina Johnson; Jenny Parks; Annika Many; Liliana Diaz – Midwestern Higher Education Compact, 2023
In April 2021, the Midwestern Higher Education Compact (MHEC) convened a working group of institution, state, and national leaders to help advise its efforts to develop a set of principles to improve consistency and reliability in the field for measuring cost savings and the return on investment (ROI) of open education resources (OER). The result…
Descriptors: Open Educational Resources, Outcomes of Education, Student Costs, Cost Effectiveness
The Implementation of Data Driven Decision Making to Improve Low-Performing Schools: An Evaluation Study of Superintendents in the Western United States
Direct linkDirect link
Enrique Ruacho – ProQuest LLC, 2020
This study explored the implementation of data driven decision making (DDDM) among superintendents to improve low-performing schools in the Western United States. Specifically, this study utilized the Clark and Estes (2008) Gap Analytic Conceptual Framework to understand superintendents' knowledge, motivation, and organizational influences related…
Descriptors: Data Use, Decision Making, Low Achievement, Institutional Characteristics