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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
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
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
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
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
Examining Teachers' Needs, Competencies, and Knowledge in Gifted Education for Professional Learning
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
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
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
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
Aaron Blackwelder; Jason Cowley – Corwin, 2025
Artificial intelligence (AI) is here and seems on the brink of transforming education. As teachers, we know that AI will not diminish the need for students to learn essential skills. It will, however, change how we teach and will require us to develop new skill sets for instruction and assessment. Teachers have a new opportunity--to embrace…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Edward C. Bell – Discover Education, 2023
Pharmacy calculations is a course that can be challenging and is often associated with student anxiety about assessments and grades. This study was conducted to determine if student anxiety would be reduced in pharmacy calculations using self-paced, multiple-attempt assessments. Self-paced, multiple-attempt assessments were presented to students…
Descriptors: Pharmacy, Anxiety, Computation, Grades (Scholastic)
Williams-McBean, Clavia T. – Environmental Education Research, 2023
History has shown that despite favourable changes in policy and perception, undesirable or ineffective educational practices in the Caribbean have remained largely unchanged, or superficially or inadequately changed. It has also shown that high stakes summative assessment wields considerable influence on the content to which students are exposed…
Descriptors: Sustainable Development, Summative Evaluation, High Stakes Tests, Testing
Majuddin, Christye; Khambari, Mas Nida Md.; Wong, Su Luan; Ghazali, Norliza; Norowi, Noris Mohd. – Contemporary Educational Technology, 2022
While educators worldwide are moving towards the universal design for learning, it is also essential to ensure learners are suitably assessed. Assessments and learning profoundly reciprocate one another as assessment may inform the learning practices, and vice versa. Resonating the aforesaid view, PutraPacer was developed as a customizable tool to…
Descriptors: Undergraduate Students, Student Attitudes, Individualized Instruction, Alternative Assessment