tandfonline.com – In search of the good practices of personalized learning
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tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Link til kilde
Personalized
Eric.ed.gov – Personalized Learning: A Guidebook for City Leaders
eric.ed.gov har udgivet: Leaders of urban school systems are faced with a daunting fact: Some individual schools achieve incredible results for students from low-income communities, but no urban “school systems” achieve those results for all–or even most–children in an entire city. For generations, students in urban America have been underserved, with few achieving basic proficiency in reading and math, and even fewer completing college. At the same time, as cities and districts face shrinking education budgets while demands for college and career readiness increase, teachers are expected to do more with less. As new promising practices emerge at the classroom, school, district, and city levels, how can more educators and administrators be exposed to what is working elsewhere? For the purpose of this guidebook, personalized learning (PL) means that students’… Continue Reading
Eric.ed.gov – Early Progress: Interim Research on Personalized Learning
eric.ed.gov har udgivet: This interim report from the RAND Corporation is the first in what will be a series of research reports based on an ongoing long-term study of foundation-funded schools that are using a variety of approaches to personalized learning. Although the early results are encouraging, the study does not attempt to make claims about which aspects of these schools contributed to the gains in student learning to date. This research is part of the foundation’s ongoing commitment to spread effective practices across districts and charter networks, support innovative roles for teachers, and support implementation of college-ready standards. All of the schools in the study received funding from the Bill & Melinda Gates Foundation, either directly or through intermediary organizations, to implement personalized learning practices. Each of the participating… Continue Reading
tandfonline.com – Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract This article introduces a special issue comprising research on efforts to personalize learning in different academic subjects. We first consider the emergence of personalized learning (PL) and the myriad of definitions that describe its essential features. Thereafter, we introduce the articles in the special issue by examining their alignment to extant theories of learning, the instructional design features that personalize the learning experience based on a learner characteristic, and the relationships between PL design and outcomes achieved in an educational context. Based on observations of contemporary PL research, we identify key issues to be addressed by the field and recommendations for future researchers to undertake to advance a PL theory. Chief among issues with PL are the role… Continue Reading
tandfonline.com – Assessing Instructional Modalities: Individualized Treatment Effects for Personalized Learning
tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student performance under different instructional modalities or intervention strategies, despite the fact that each student may experience only one “treatment.” The ITE is presented within an ensemble machine learning approach to evaluate student… Continue Reading