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Birgit Pepin; Nils Buchholtz; Ulises Salinas-Hernández – Digital Experiences in Mathematics Education, 2025
This study presents a scoping survey examining the integration of ChatGPT in mathematics education, highlighting its benefits, challenges, and implications for teaching and learning. The survey identifies key themes, including ChatGPT's ability to assist in understanding mathematical concepts, lesson planning, assessment design, personalized…
Descriptors: Mathematics Education, Artificial Intelligence, Computer Uses in Education, Mathematical Concepts
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Linh Huynh; Danielle S. McNamara – Grantee Submission, 2025
Four versions of science and history texts were tailored to diverse hypothetical reader profiles (high and low reading skills and domain knowledge), generated by four Large Language Models (i.e., Claude, Llama, ChatGPT, and Gemini). The Natural Language Processing (NLP) technique was applied to examine variations in Large Language Model (LLM) text…
Descriptors: Artificial Intelligence, Natural Language Processing, Textbook Evaluation, Individualized Instruction
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Pérez Guerrero, Javier – Journal of Philosophy of Education, 2021
Many teachers believe that becoming friends with their pupils compromises their status as teachers because they regard friendship as a role that is incompatible with that status. However, to consider friendship as a typical relationship or social interaction does not reflect the classical idea of friendship. In a classical approach to friendship,…
Descriptors: Teacher Student Relationship, Friendship, Individualized Instruction, Interaction
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Eysink, Tessa H. S.; Schildkamp, Kim – Educational Research, 2021
Background: To enable all students to reach their full potential, teachers have to adapt their instruction to students' varying needs. In order to do this, teachers need to engage in activities associated with formative assessment, as well as those associated with differentiation. However, both of these types of activities are, in themselves,…
Descriptors: Individualized Instruction, Formative Evaluation, Student Evaluation, Educational Practices
Roberts, Julia Link; Inman, Tracy Ford – Prufrock Press, 2023
This updated edition of "Strategies for Differentiating Instruction" offers practical approaches that allow all students to make continuous progress and be appropriately challenged by focusing on their various levels of knowledge and readiness to learn. Written in an accessible, teacher-friendly style, chapters explore methods to tier…
Descriptors: Individualized Instruction, Best Practices, Student Needs, Student Characteristics
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Levey, Sandra – Journal of Education, 2023
This review presents the Universal Design Learning (UDL) approach to education. Classrooms have become increasingly diverse, with second language learners, students with disabilities, and students with differences in their perception and understanding information. Some students learn best through listening, while others learn best when presented…
Descriptors: Access to Education, Teaching Methods, Cognitive Style, Inclusion
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Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
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Gibbs, Kathryn – Australian Educational Researcher, 2023
This paper investigates the challenges experienced by some Australian school educators in implementing differentiated instruction (DI) at a large secondary school. A small-scale study was conducted using individual, semi-structured interviews with teachers and school leaders. Using thematic analysis, three major themes were identified, namely:…
Descriptors: Individualized Instruction, Learning Experience, Secondary Schools, Program Implementation
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Kaplan, Sandra N. – Gifted Child Today, 2023
This article discusses various key words that facilitate differentiated curricular experiences for gifted students. Key words such as "about," "in," "from," and "with" can present a different perspective on the learning experience and stimulate investigative behaviors. They are also a set of words that are…
Descriptors: Gifted Education, Language Usage, Learning Experience, Educational Experience
Jennifer M. Lennon – ProQuest LLC, 2023
Modern classrooms are increasingly diverse. Students vary in their academic abilities, personal interests, cultural and linguistic backgrounds, and previous experiences (Allen et al., 2013). To meet the varied needs of students, educators must adapt their instruction so all are able to find success. Modifying lesson plans and changing instruction…
Descriptors: Preservice Teachers, Lesson Plans, Reading Centers, Universities
Amanda L. Clark – ProQuest LLC, 2023
Teacher accountability and test scores currently drive many practices within the field of education. At the same time, student populations have become increasingly diverse, causing classroom teachers to feel pressured to teach to the test. Differentiated instruction has emerged as a best practice to help maximize learning for all students.…
Descriptors: Grade 4, Grade 5, Elementary School Teachers, Reading Teachers
Nicole Vargas – ProQuest LLC, 2023
Artificial intelligence in education (AIED) is an exigent topic of concern across educational settings. While artificial intelligence (AI) is not new, integrating it into K-12 schools has created a mix of positive and negative perceptions regarding how to do so effectively. The purpose of this phenomenological study was to examine teachers'…
Descriptors: High School Teachers, Teacher Attitudes, Artificial Intelligence, Instructional Materials
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Lechuga, Christopher G.; Doroudi, Shayan – International Journal of Artificial Intelligence in Education, 2023
Computer-assisted instructional programs such as intelligent tutoring systems are often used to support blended learning practices in K-12 education, as they aim to meet individual student needs with personalized instruction. While these systems have been shown to be effective under certain conditions, they can be difficult to integrate into…
Descriptors: Algorithms, Intelligent Tutoring Systems, Grouping (Instructional Purposes), Ability Grouping
Phillips, DerNecia A. – ProQuest LLC, 2023
The General Educational Development (GED) is a high school equivalency credential sought after by millions of Americans who do not hold a traditional high school diploma. This program evaluation offers insight to a local adult GED program as it seeks to increase the retention and GED completion rates of the students in their program. The…
Descriptors: Adult Education, High School Equivalency Programs, Program Evaluation, Barriers
Zachary Weingarten; Paul K. Steinle – National Center on Intensive Intervention, 2023
Data-based individualization (DBI) is a systematic approach to intensifying and individualizing interventions for students who require more support. Diagnostic data represent the third step in the DBI process. When progress monitoring data indicate that a student is not making adequate progress in an intervention, educators use diagnostic data to…
Descriptors: Data Use, Student Needs, Intervention, Individualized Instruction
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