Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 11 |
Descriptor
Source
Author
McEldoon, Katherine | 2 |
Amy Chen Kulesa | 1 |
Belenky, Daniel | 1 |
Bobbi S. Greiner | 1 |
Cozart, Deanna | 1 |
Delgadillo, Lucy M. | 1 |
Diana R. Feldhacker | 1 |
Hagen, Anastasia S. | 1 |
Lee, Eunbae | 1 |
Lesgold, Alan M., Ed. | 1 |
Marisa Mission | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Descriptive | 5 |
Reports - Evaluative | 4 |
Books | 3 |
Guides - Classroom - Teacher | 2 |
Reports - Research | 2 |
Guides - Non-Classroom | 1 |
Tests/Questionnaires | 1 |
Education Level
Adult Education | 3 |
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Teachers | 12 |
Practitioners | 2 |
Researchers | 2 |
Students | 2 |
Administrators | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Morehead, Kayla; McEldoon, Katherine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Learning Experience, Instructional Design, Authentic Learning, Teaching Methods
Richey, J. Elizabeth; McEldoon, Katherine; Belenky, Daniel – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Active Learning, Teaching Methods, Memory, Learner Engagement
Amy Chen Kulesa; Marisa Mission; Michelle Croft; Mary K. Wells – Bellwether, 2025
Generative artificial intelligence (GenAI) is a tool that promises efficiency and customization for teachers and students alike but also carries risks of dependency and detachment. This report aims to explore new questions for educators, system leaders, and tool developers such as how much cognitive effort AI should alleviate, how much it should…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Cognitive Processes
Delgadillo, Lucy M. – Journal of Family and Consumer Sciences, 2022
The National Strategy for Financial Literacy report released in 2020 by the U. S. Financial Literacy and Education Commission (USFLEC) crafted a new definition of financial education (FE). The report defines FE as the process by which "people gain information, skills, confidence, and motivation to act through various means including classroom…
Descriptors: Money Management, Literacy, Consumer Education, Learning Motivation
Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
Diana R. Feldhacker; Bobbi S. Greiner – Journal of Occupational Therapy Education, 2022
Occupational therapy (OT) school is where learning begins as students prepare to become future professionals. Thus, effective course design is imperative in professional formation. This study examined the effectiveness of a course designed around andragogical and active learning principles in combination with Fink's (2013) taxonomy of learning for…
Descriptors: Course Evaluation, Instructional Design, Blended Learning, Independent Study
Posey, Allison – ASCD, 2018
Research on the brain has shown that emotion plays a key role in learning, but how can educators apply that research in their day-to-day interactions with students? What are some teaching strategies that take advantage of what we know about the brain? "Engage the Brain" answers these questions with easy-to-understand explanations of the…
Descriptors: Instructional Design, Psychological Patterns, Brain, Neurology
Lee, Eunbae; Pate, Joseph A.; Cozart, Deanna – TechTrends: Linking Research and Practice to Improve Learning, 2015
Despite the rapid growth of online learning in higher education, the dropout rates for online courses has reached 50 percent. Lack of student engagement rank as a critical reason for frequent online course dropout. This article discusses autonomy support as a strategy to enhance online students' intrinsic motivation and engagement. Drawing from…
Descriptors: Electronic Learning, Online Courses, Learning Motivation, Learner Engagement
Lesgold, Alan M., Ed.; Welch-Ross, Melissa, Ed. – National Academies Press, 2012
Virtually everyone needs a high level of literacy in both print and digital media to negotiate most aspects of 21st century life-succeeding in a competitive job market, supporting a family, navigating health information, and participating in civic activities. Yet, according to a recent survey estimate, more than 90 million adults in the United…
Descriptors: Learning Motivation, Adult Literacy, Literacy Education, Expertise
Schiller, Shu Z. – Journal of Information Systems Education, 2009
Guided by the principles of learner-centered teaching methodology, a Second Life project is designed to engage students in active learning of virtual commerce through hands-on experiences and teamwork in a virtual environment. More importantly, an assessment framework is proposed to evaluate the learning objectives and learning process of the…
Descriptors: Student Attitudes, Learning Motivation, Virtual Classrooms, Teaching Methods
Wang, Shiang-Kwei; Reeves, Thomas C. – Educational Technology Research and Development, 2006
Collaborating closely with a 10th-grade science teacher, we designed a Web-based learning environment (Web-LE) to improve student motivation to learn science. Factors believed to enhance intrinsic motivation (challenge, control, curiosity, and fantasy) were integrated into the instructional design of the Web-based learning tool. The Web-LE was…
Descriptors: Instructional Design, Grade 10, Research Methodology, Student Motivation

Hagen, Anastasia S.; Weinstein, Claire Ellen – New Directions for Teaching and Learning, 1995
Mastery and performance goals can dramatically influence college students' self-regulated learning. These independent but complementary types of goals are shaped in important ways by how faculty organize and structure their classrooms for learning, particularly through the tasks assigned, development of student authority, and the focus of student…
Descriptors: Academic Achievement, Classroom Environment, Competency Based Education, Goal Orientation