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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared "striving learner" students who were assigned to use i-Ready Personalized Instruction (Treatment students) and "striving learner" students assigned to only receive i-Ready…
Descriptors: Mathematics Achievement, Elementary School Mathematics, Individualized Instruction, Influences
Zahra Sadat Roozafzai; Parisa Zaeri – Journal of Educational Technology, 2024
This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on…
Descriptors: Artificial Intelligence, Animation, Individualized Instruction, Intersectionality
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language 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
Ertem, Ihsan Seyit – International Journal of Progressive Education, 2013
The purpose of this research was to examine the role of personalized and non-personalized online texts on elementary school fifth grade students' comprehension and their attitudes toward reading. Participants were 47 fifth-grade students from a rural elementary school in north Florida. The subjects were randomly assigned into two (personalized…
Descriptors: Elementary School Students, Reading Comprehension, Grade 5, Student Attitudes
Fernandez-Lopez, Alvaro; Rodriguez-Fortiz, Maria Jose; Rodriguez-Almendros, Maria Luisa; Martinez-Segura, Maria Jose – Computers & Education, 2013
Students with special education have difficulties to develop cognitive abilities and acquire new knowledge. They could also need to improve their behavior, communication and relationships with their environment. The development of customizable and adaptable applications tailored to them provides many benefits as it helps mold the learning process…
Descriptors: Foreign Countries, Electronic Learning, Educational Needs, Student Needs

Kawasaki, Zenshiro – Computers and Education, 1979
Describes an automatic exercise-problem selection method which is based on the theory of Learning Diagnosis and Treatment (LDT). An optimum problem for each learner is identified by comparing the required readiness for the problem and the learner's mastery level. (Author/CMV)
Descriptors: Computer Assisted Instruction, Diagnostic Teaching, Educational Objectives, Individualized Instruction
Rudnick, Martin F. – Audiovisual Instruction, 1979
Author languages, such as the Instructional Dialog Facility (IDF), are computer programs that permit the author to develop computer assisted instruction (CAI) materials without knowledge of sophisticated computer programing techniques. These CAI programs have great potential for responding to individual student styles and rates of learning. (CMV)
Descriptors: Computer Assisted Instruction, Curriculum Development, Individualized Instruction, Instructional Improvement
Montor, Karel – Improving College and University Teaching, 1972
Descriptors: Computer Assisted Instruction, Higher Education, Individual Differences, Individualized Instruction
Saba, Farhad, Ed. – Distance Education Report, 2000
Suggests that distance education advocates and critics alike should learn that responding to learners' needs for independent learning is a fundamental principle. Discusses learner autonomy; new admirers of distance education; lack of sensitivity to individual learning differences and the increased use of streaming media; and the position of Dr.…
Descriptors: Computer Assisted Instruction, Distance Education, Educational Media, Educational Practices

Aquino, John – Journal of Teacher Education, 1976
This article is based on a computer search of the ERIC data base for individualized programs that are not IGE programs. (MM)
Descriptors: Career Education, Community Colleges, Computer Assisted Instruction, Educational Trends
Convery, Anne; Coyle, Do – 1993
Issues associated with differentiation of learner needs and instruction in second language teaching are discussed. Differentiation is distinguished from mixed-ability teaching in that the former places emphasis on the requirements of individual learners, while the latter concerns pupil management for teaching purposes. An introductory section…
Descriptors: Classroom Techniques, Computer Assisted Instruction, Foreign Countries, Individual Differences

Bork, Alfred – Journal of College Science Teaching, 1980
Discussed are three aspects of the development of computer-aided learning materials: (1) reconstructing a beginning college physics course to be more efficient and flexible; (2) exploring simulations and learning sequences not usually accessible to students; (3) dissemination of project ideas to administrators and faculty elsewhere. (CS)
Descriptors: College Science, Computer Assisted Instruction, Higher Education, Individualized Instruction
Moshinskie, James F. – Journal of Instruction Delivery Systems, 1998
This survey questioned instructional designers about the increasing use of automated instructional design software to develop computer-based training (CBT). While these automated tools compact the complicated production process, educators complain that the resulting software often presents lock-stepped, linear instruction that neglects the…
Descriptors: Automation, Cognitive Processes, Computer Assisted Instruction, Computer Software Development
Oody, Gail H. – Tennessee Education, 1985
Effective use of microcomputers with gifted students requires that educators consider long- and short-range program goals, select software carefully, and integrate microcomputer functions into the overall curriculum. Microcomputers are not a panacea for the gifted, but their proper use may enhance instruction and stimulate learning. (JHZ)
Descriptors: Acceleration (Education), Computer Assisted Instruction, Computer Software, Elementary Secondary Education
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