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Hattingh, Sherene; Northcote, Maria – Journal of Further and Higher Education, 2023
In the last few decades, the expansion of online learning and online assessment has attracted both negative and positive attention, some of which has celebrated the flexibility and individualised affordances of online learning contexts, while also lamenting the overuse of one-size-fits-all teaching approaches. Virtual learning contexts have been…
Descriptors: Individualized Instruction, Computer Assisted Testing, Literature Reviews, Online Courses
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Juan Cai; Qingyun Wen; Meijie Bi; Koen Lombaerts – Social Psychology of Education: An International Journal, 2024
Inclusive education, crucial for human rights and sustainable development, focuses on integrating and empowering students of varying needs and abilities. Understanding the interaction between Universal Design for Learning (UDL) and Differentiated Instruction (DI) is key for educators and stakeholders to implement inclusive strategies effectively.…
Descriptors: Access to Education, Individualized Instruction, Inclusion, Teaching Methods
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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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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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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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Yousef, Ahmed Mohamed Fahmy; Khatiry, Ahmed Ramadan – Interactive Learning Environments, 2023
Several governments across the world have temporarily closed educational institutions due to the COVID-19 pandemic. In response, numerous universities have seen a growing trend towards online learning scenarios. Thus, learning takes place not just within a person, but within and across the networks. However, the current implementations of open…
Descriptors: Learning Analytics, Individualized Instruction, Reflection, Learning Processes
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Daniel Carroll; Lida J. Uribe-Flórez; Yu-Hui Ching; Ross Perkins; Elizabeth Figus – TechTrends: Linking Research and Practice to Improve Learning, 2023
There has been a move toward personalized learning and alternative types of authentic assessment in K-12 education. This shift has been partly driven by increases in the available technology that can support those types of changes. This qualitative study aimed at understanding the experience of learners in a first-year physics class working with…
Descriptors: Student Experience, Electronic Publishing, Portfolios (Background Materials), High School Students
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Dai, Jing; Gu, Xiaoqing; Zhu, Jiawen – Journal of Educational Computing Research, 2023
Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Evaluation Methods, Tests
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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)
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Jahnke, Isa – International Journal of Information and Learning Technology, 2023
Purpose: Fischer "et al." (2022) present a framework for rethinking education, including broad design components such as learning-on-demand or learning takes place in the context of authentic problems. How can we bring those design components into practice? I argue that the design of innovative learning approaches for the digital age…
Descriptors: Electronic Learning, Learning Experience, Instructional Design, Evaluation Methods
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Pei Zhu; Emma Alterman; Nicholas Commins; Peyton Nash – Society for Research on Educational Effectiveness, 2023
Background/Context: In the early elementary grades, many students do not achieve literacy proficiency due to inadequate personalized literacy instruction (Taylor et al., 2010). Despite increasing evidence that differentiated instruction informed by assessments of students' reading abilities can improve learning more effectively than…
Descriptors: Faculty Development, Small Group Instruction, Individualized Instruction, Literacy
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Lebohang Victoria Mulaudzi; Joleen Hamilton – Journal of Academic Ethics, 2025
This qualitative study explores lecturers' perspectives on the role of artificial intelligence (AI) in personalised learning within higher education. The rapid proliferation of AI has introduced numerous ethical challenges, including the potential for academic dishonesty and misuse. One concern highlighted in this study is maintaining academic…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
Shengyu Jiang; Jiaying Xiao; Chun Wang – Grantee Submission, 2022
An online learning system has the capacity to offer customized content that caters to individual learner's need and has seen growing interest from industry and academia alike in recent years. Different from traditional computerized adaptive testing setting which has a well-calibrated item bank with new items periodically added, online learning…
Descriptors: Item Response Theory, Item Banks, Bayesian Statistics, Learning Management Systems
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Collin Shepley; Anthony Setari; Amanda Leigh Duncan; Emily Webb – Assessment for Effective Intervention, 2025
Ongoing professional development is a critical component of high-quality early childhood education systems. To guide the content of such professional development, teacher and classroom quality assessments are often used. These assessments generally address universal or tier 1 instruction but omit information to guide teachers' practices to support…
Descriptors: Test Validity, Computer Assisted Testing, Teacher Evaluation, Performance Based Assessment
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Heng, Tang T.; Song, Lynn; Tan, Kelvin – Educational Research, 2021
Background: Assessment for learning (AfL) discourses and practices have gained popularity globally, as educational policies and ideas are transferred across borders. An important area of investigation is how AfL may be construed and enacted differently, according to context. Purpose: By examining how teachers in Singapore understand and use AfL --…
Descriptors: Foreign Countries, Formative Evaluation, Public School Teachers, Behaviorism
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