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Showing 1 to 15 of 336 results Save | Export
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Luiz Rodrigues; Paula T. Palomino; Armando M. Toda; Ana C. T. Klock; Marcela Pessoa; Filipe D. Pereira; Elaine H. T. Oliveira; David F. Oliveira; Alexandra I. Cristea; Isabela Gasparini; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2024
Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students' motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring multiple individual and contextual factors that affect user motivation. Unlike prior research, we…
Descriptors: Individualized Instruction, Student Motivation, Gamification, Student Evaluation
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Katherine A. Valentine; Adrea J. Truckenmiller – Intervention in School and Clinic, 2025
Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…
Descriptors: Writing Evaluation, Writing Skills, Student Evaluation, Special Education
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Soyoung Park; Pamela M. Stecker; Sarah R. Powell – Intervention in School and Clinic, 2024
This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…
Descriptors: Student Evaluation, Individualized Instruction, Mathematics Instruction, Progress Monitoring
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Okubo, Fumiya; Shiino, Tetsuya; Minematsu, Tsubasa; Taniguchi, Yuta; Shimada, Atsushi – IEEE Transactions on Learning Technologies, 2023
In this study, we propose an integrated system to support learners' reviews. In the proposed system, the review dashboard is used to recommend review contents that are adaptive to the individual learner's level of understanding and to present other information that is useful for review. The pages of the digital learning materials that are…
Descriptors: Learning Management Systems, Student Evaluation, Automation, Artificial Intelligence
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Qiongjiang Song; Yuhan Liu; Qinggen Zhang – British Educational Research Journal, 2025
This study aimed to contribute to the substantial body of research on critical thinking (CT) interventions by determining whether the effectiveness of two CT interventions (generic and infusion) varied according to students' baseline CT levels. Using a quasi-experimental design, we collected data from two universities, with 167 participants from…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Teaching Methods
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Thomas Wanner; Edward Palmer; Daniel Palmer – Teaching in Higher Education, 2024
This paper discusses a two-year study at an Australian university in which 154 undergraduate and 51 postgraduate students reflected on their experiences with flexible and personalised assessment where they could choose assessment tasks, submission dates and weightings of their assignments. Through pre- and post-course surveys and a focus group,…
Descriptors: Foreign Countries, College Students, Student Evaluation, Student Attitudes
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Barbara Jones; Molly Faulkner-Bond; Jennifer Blitz – Region 15 Comprehensive Center, 2024
This brief is part of a series that highlights key features of high-quality instruction for English learners and the role formative assessment plays in their success. Formative assessment supports teachers to enact these features by providing them with tools to gauge and react to student learning in real-time. These practices also support students…
Descriptors: Student Evaluation, Formative Evaluation, English Learners, Second Language Instruction
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Gülendam Akgül; Cemre Erten Tatli; Nazli B. Akçabozan Kayabol – Journal of Advanced Academics, 2025
The current knowledge and competence level of teachers concerning gifted education in Türkiye is not well-studied that may hinder the development of need-based planning of teacher training programs. The aim of this study is to explore teachers' needs, competencies, and level of perceived knowledge in gifted education. In a mixed methods study,…
Descriptors: Foreign Countries, Gifted Education, Teacher Competencies, Educational Needs
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Bingxue Zhang; Yang Shi; Yuxing Li; Chengliang Chai; Longfeng Hou – Interactive Learning Environments, 2023
The adaptive learning environment provides learning support that suits individual characteristics of students, and the student model of the adaptive learning environment is the key element to promote individualized learning. This paper provides a systematic overview of the existing student models, consequently showing that the Elo rating system…
Descriptors: Electronic Learning, Models, Students, Individualized Instruction
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Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the use of artificial intelligence-based assessment systems in education and their impact on student achievement. AI technologies make the learning experience more compelling by monitoring and evaluating student performance through data analysis and machine learning, thereby individualizing the assessment process. This study…
Descriptors: Artificial Intelligence, Student Evaluation, Academic Achievement, Computer Uses in Education
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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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Ling Wang; Guochu Liang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…
Descriptors: Data Use, Educational Quality, Online Courses, Distance Education
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Ma, Hua; Huang, Zhuoxuan; Tang, Wensheng; Zhu, Haibin; Zhang, Hongyu; Li, Jingze – IEEE Transactions on Learning Technologies, 2023
To provide intelligent learning guidance for students in e-learning systems, it is necessary to accurately predict their performance in future exams by analyzing score data in past exams. However, existing research has not addressed the uncertain and dynamic features of students' cognitive status, whereas these features are essential for improving…
Descriptors: Prediction, Student Evaluation, Performance, Tests
Wiley Blevins – Corwin, 2024
Author Wiley Blevins is renowned for changing the way educators think about teaching children to read, helping thousands of teachers implement effective phonics instruction. Now, Blevins gets us to think in powerful new ways about differentiating whole-class phonics lessons, so students at every skill level can engage. With Blevins' trademark…
Descriptors: Phonics, Individualized Instruction, Reading Instruction, Large Group Instruction
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