Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 29 |
Descriptor
Source
Author
Bork, Alfred | 6 |
Pannwitt, Barbara | 3 |
Spuck, Dennis W. | 3 |
Belt, Sidney L. | 2 |
Bitter, Gary G. | 2 |
Castleberry, Sam J. | 2 |
Fletcher, J. D. | 2 |
Howard-Vital, Michelle R. | 2 |
Humes, Ann | 2 |
Jelden, D. L. | 2 |
McCombs, Barbara L. | 2 |
More ▼ |
Publication Type
Education Level
Higher Education | 6 |
Elementary Secondary Education | 4 |
Postsecondary Education | 4 |
Adult Education | 2 |
Elementary Education | 1 |
Grade 5 | 1 |
High Schools | 1 |
Middle Schools | 1 |
Primary Education | 1 |
Location
California | 3 |
United Kingdom | 3 |
Australia | 2 |
Minnesota | 2 |
United Kingdom (England) | 2 |
United Kingdom (Great Britain) | 2 |
United States | 2 |
Alaska | 1 |
Arizona | 1 |
Arkansas | 1 |
Canada | 1 |
More ▼ |
Laws, Policies, & Programs
Elementary and Secondary… | 2 |
Comprehensive Employment and… | 1 |
Education Consolidation… | 1 |
Youth Employment and… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Does not meet standards | 1 |
Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – 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: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
Courtney Lewis – Knowledge Quest, 2022
The pandemic prompted Courtney Lewis and her fellow school librarians to dig deep and acknowledge that their information literacy instruction followed a just-in-time philosophy. Essentially, limited just-in-time information literacy instruction is like teaching a kid how to play soccer for seven days out of each year and expecting them to be a…
Descriptors: Information Literacy, Library Instruction, Individualized Instruction, Pacing
Kolchenko, Vasiliy – HAPS Educator, 2018
Artificial intelligence (AI) is transforming many fields, including education. Can modern AI replace teachers? We discuss some popular AI applications for adaptive learning, how they are related to personalized education, what makes these applications "intelligent," and how the quality and quantity of student-generated data changes the…
Descriptors: Artificial Intelligence, Individualized Instruction, Computer Assisted Instruction, Student Reaction
Johann Engelbrecht; Marcelo C. Borba – ZDM: Mathematics Education, 2024
In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of…
Descriptors: STEM Education, Art Education, COVID-19, Pandemics
Rogerson-Revell, Pamela M. – RELC Journal: A Journal of Language Teaching and Research, 2021
This viewpoint essay considers the current status of computer-assisted pronunciation training (CAPT) before examining some of the current issues and future directions in the field. The underlying premise is the pedagogic potential of CAPT systems and resources for teaching and learning, and the need for greater synergy between technological design…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Individualized Instruction, Feedback (Response)
Dann, Ashley Ireland – Online Submission, 2017
This paper works to authentically define technology-rich, blended learning, and personalized learning within the context of teaching. The aim is to provide a more comprehensive and teacher-focused lens in which to view our modern tech-rich, blended, and personalized education world.
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Blended Learning, Individualized Instruction
Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Arciuli, Joanne; Bailey, Benjamin – Language, Speech, and Hearing Services in Schools, 2021
Purpose: Children with autism have an increased likelihood of reading difficulties. The reasons for this are numerous and varied, but many children with autism can learn to read when they are provided with evidence-based early reading instruction. Method: Here, we provide an overview of some of the factors that impact early reading development for…
Descriptors: Early Reading, Beginning Reading, Emergent Literacy, Reading Instruction
Luzius, Michael – Distance Learning, 2020
Adaptive learning is a computerized learning environment in which software evaluates how well students learn course content. Students read textual materials, view videos and listen to audio files. The software then creates an individualized learning path for the student based on how well they perform in quizzes embedded in their lessons. As such,…
Descriptors: Computer Assisted Instruction, Individualized Instruction, Economics Education, Computer Software
Moore, Scott D.; Sanchez, Rudolph J.; Inoue, Asao B.; Statham, Russel D.; Zelezny, Lynnette; Covino, William A. – Journal of Continuing Higher Education, 2014
The Self-Paced Online Tutorial (SPOT) represents the best kind of innovation because it uses digital technologies wisely and because it is based on well-established theory, research, and practice. Extended education plays a pivotal role in the attainment of the California State University's (CSU) vision of providing a high-quality, affordable, and…
Descriptors: Pacing, Individualized Instruction, Computer Assisted Instruction, Writing Instruction
Public Impact, 2013
Blended learning that combines digital instruction with live, accountable teachers holds unique promise to improve student outcomes dramatically. Schools will not realize this promise at large scale with technology improvements alone, though, or with technology and today's typical teaching roles. This brief explains how schools can use blended…
Descriptors: Blended Learning, Electronic Learning, Outcomes of Education, State Policy
Wallace, Belle; Bernardelli, Alessio; Molyneux, Clare; Farrell, Clare – Gifted Education International, 2012
All children are born with the gifts of curiosity and creativity--and an insatiable appetite for asking questions to find out about the world in which they live. Fostering these questions and developing inquisitive and investigating minds is one of the essential roles of parent and teacher, and the processes of enquiry are the necessary routes for…
Descriptors: Computer Assisted Instruction, Problem Solving, Social Environment, Investigations
Alexander, Sonja; Henderson-Rosser, Aleigha – Learning & Leading with Technology, 2010
A widespread irony in education is that many districts look at technology only in relation to what the students need. As a result, they often neglect to provide teachers with technology-based learning, even though they expect them to support their students with instructional technology. And when they do offer professional development (PD), they…
Descriptors: Professional Development, Computer Assisted Instruction, Educational Technology, Online Courses
Kieler, Lynda – Gifted Child Today, 2010
In this article, the author shares her experience of using digital storytelling in her class of gifted learners and discusses the benefits it has for both students and teachers. Technology is becoming an integral part of the educational realm. In an effort to blend technology with education, the author took on the challenge of digital storytelling…
Descriptors: Story Telling, Gifted, Personality, Individualized Instruction