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Magas, Janwin C. – Journal of Science and Mathematics Education in Southeast Asia, 2022
Purpose: This study aimed to develop an instructional material in learning pre-calculus that can be used by the Grade 10 students at a school in Cauayan City, Philippines to improve their competency in Mathematics, particularly in Pre-Calculus. Method: The study employed a quasi-experimental research design consisting of two groups, the…
Descriptors: Foreign Countries, Calculus, Grade 10, Instructional Materials
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Christopher J. Wagner – Reading Teacher, 2024
Artificial intelligence is the simulation or development of reasoning and other human-like cognitive abilities by computers. Currently, there is limited exploration of applications of artificial intelligence tools for teaching reading to children in the early childhood and elementary grades, including how artificial intelligence might be used to…
Descriptors: Artificial Intelligence, Teaching Methods, Technology Uses in Education, Computer Software
Teresa L. Woodard – ProQuest LLC, 2023
This ex post facto, quasi-experimental quantitative study investigated the impact of the implementation of student voice conferences on reading assessment scores and equitable differentiated instructional tasks designed for a productive struggle during teacher lesson planning. Six teachers and 132 students from one suburban elementary school…
Descriptors: Elementary School Students, Elementary School Teachers, Suburban Schools, Low Income
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Ipek, Ziyaeddin Halid; Gözüm, Ali Ibrahim Can; Papadakis, Stamatios; Kallogiannakis, Michail – Educational Process: International Journal, 2023
Background/purpose: ChatGPT is an artificial intelligence program released in November 2022, but even now, many studies have expressed excitement or concern about its introduction into academia and education. While there are many questions to be asked, the current study reviews the literature in order to reveal the potential effects of ChatGPT on…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Benefits
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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
Lawson, Dawn M. – ProQuest LLC, 2018
The aim of this action research study is to determine how differentiated mathematics stations effect student learning. The research question that guided this study is as follows: How does the implementation of differentiated instruction using math stations impact individual student learning progression on the SLO posttest, unit pretest and post…
Descriptors: Individualized Instruction, Mathematics Instruction, Mathematics Achievement, Student Needs
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Musselwhite, Dorothy J.; Wesolowski, Brian C. – Journal of Research in Music Education, 2018
The purpose of this study was to evaluate the psychometric quality (i.e., validity and reliability) of a rating scale to assess pre-service teachers' lesson plan development in the context of secondary-level music performance classrooms. The research questions that guided this study include: (1) What items demonstrate acceptable model fit for the…
Descriptors: Psychometrics, Likert Scales, Preservice Teachers, Lesson Plans
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Sugar, William A.; Luterbach, Kenneth J. – Educational Technology Research and Development, 2016
Through consideration of critical incidents, this study analyzed 106 effective, ineffective and extraordinary instructional design and multimedia production (MP) activities discussed by 36 instructional design professionals. This evaluation provided insights into these professionals' best and not so best practices during the past 6 months.…
Descriptors: Critical Incidents Method, Theory Practice Relationship, Instructional Design, Teaching Methods
Simko, Marian; Bielikova, Maria – International Working Group on Educational Data Mining, 2009
To make learning process more effective, the educational systems deliver content adapted to specific user needs. Adequate personalization requires the domain of learning to be described explicitly in a particular detail, involving relationships between knowledge elements referred to as concepts. Manual creation of necessary annotations is in the…
Descriptors: Foreign Countries, Data Analysis, Individualized Instruction, Electronic Learning
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Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung – Computers & Education, 2008
Grid computing environments with abundant resources can support innovative e-Learning applications, and are promising platforms for e-Learning. To support individualized and adaptive learning, teachers are encouraged to develop various teaching materials according to different requirements. However, traditional methodologies for designing teaching…
Descriptors: Teacher Developed Materials, Material Development, Educational Technology, Computer Software
Bolvin, John O. – Educational Technology, 1972
Descriptors: Educational Objectives, Individualized Instruction, Instructional Materials, Material Development
Smith, James E. – Educational Technology, 1972
Descriptors: Curriculum Development, Guidelines, Individualized Instruction, Instructional Materials
Malan, Ronald F.; Merrill, M. David – Educational Technology, 1971
Descriptors: Individualized Instruction, Material Development, Nongraded Instructional Grouping, Research Needs
Banister, Richard E.,; and others – Amer Vocat J, 1969
Descriptors: Auto Mechanics, Individualized Instruction, Material Development, Multimedia Instruction
Flanagan, John C. – Educational Technology, 1972
Descriptors: Individualized Instruction, Instructional Materials, Instructional Systems, Material Development
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