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Enhancing Procedural Writing through Personalized Example Retrieval: A Case Study on Cooking Recipes
Paola Mejia-Domenzain; Jibril Frej; Seyed Parsa Neshaei; Luca Mouchel; Tanya Nazaretsky; Thiemo Wambsganss; Antoine Bosselut; Tanja Käser – International Journal of Artificial Intelligence in Education, 2025
Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input or prior knowledge. Consequently, some learners struggle to grasp or relate to the feedback,…
Descriptors: Writing Instruction, Academic Language, Content Area Writing, Cooking Instruction
Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Soboleva, Elena V.; Zhumakulov, Khurshidzhon K.; Umurkulov, Kayumzhon P.; Ibragimov, Gasanguseyn I.; Kochneva, Lyubov V.; Timofeeva, Maria O. – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The lack of sufficiently developed methodological basis before graduation adversely affects the mathematical competency of future experts that are required by the modern economy. The study aims to investigate the features of the development of a personalized model of teaching mathematics by means of interactive novels to improve the quality of…
Descriptors: Mathematics Instruction, Teaching Methods, Novels, Mathematics Skills
Zydney, Janet Mannheimer; Hasselbring, Ted S. – TechTrends: Linking Research and Practice to Improve Learning, 2014
Teachers are challenged to create flexible learning environments that prepare students with diverse learning needs for adaptable thinking in a fast-paced and changing society. To address this need, we used a design-based research approach to develop a technology-based solution to individualize mathematical problem solving instruction to students…
Descriptors: Learning Strategies, Mathematics Education, Problem Solving, Individualized Instruction
Wallace, Belle; Bernardelli, Alessio; Molyneux, Clare; Farrell, Clare – Gifted Education International, 2012
All children are born with the gifts of curiosity and creativity--and an insatiable appetite for asking questions to find out about the world in which they live. Fostering these questions and developing inquisitive and investigating minds is one of the essential roles of parent and teacher, and the processes of enquiry are the necessary routes for…
Descriptors: Computer Assisted Instruction, Problem Solving, Social Environment, Investigations
Ivanova, Malinka; Chatti, Mohamed Amine – Journal of Educational Technology Systems, 2011
The development of Personal Learning Environments (PLEs) is in the scope of research groups and educators aiming to propose suitable mechanisms for the organization of self-controlled and self-directed learning, providing students with tools and services for access to content and human intelligence inside and outside the educational institutions.…
Descriptors: Foreign Countries, Learner Controlled Instruction, Individualized Instruction, College Students
Stamper, John Carroll – ProQuest LLC, 2010
Intelligent Tutoring Systems (ITSs) that adapt to an individual student's needs have shown significant improvement in achievement over non-adaptive instruction (Murray 1999). This improvement occurs due to the individualized instruction and feedback that an ITS provides. In order to achieve the benefits that ITSs provide, we must find a way to…
Descriptors: Intelligent Tutoring Systems, Individualized Instruction, Adjustment (to Environment), Feedback (Response)
Capuano, Nicola; Gaeta, Matteo; Marengo, Agostino; Miranda, Sergio; Orciuoli, Francesco; Ritrovato, Pierluigi – Interactive Learning Environments, 2009
Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA)…
Descriptors: Distance Education, Online Courses, Laboratories, Individualized Instruction
Corbalan, Gemma; Kester, Liesbeth; Van Merrienboer, Jeroen J. G. – Instructional Science: An International Journal of Learning and Cognition, 2006
Modern education emphasizes the need to flexibly personalize learning tasks to individual learners. This article discusses a personalized task-selection model with shared instructional control based on two current tendencies for the dynamic sequencing of learning tasks: (1) personalization by an instructional agent which makes sequencing decisions…
Descriptors: Models, Individualized Instruction, Computer Assisted Instruction, Instructional Effectiveness

Woods, Pat; Hartley, J. R. – British Journal of Educational Psychology, 1971
Descriptors: Arithmetic, Computer Assisted Instruction, Individualized Instruction, Models
Clark, Michal C.; Merrill, M. David – 1969
A cybernetic subcomponent is proposed which can gather the necessary information and make the operating decisions to allow one system of instruction (M.D. Merrill's) to respond to and provide for differential needs within the individual learner. (Merrill's system divides the universe of instructional objectives into a taxonomy of seven categories,…
Descriptors: Academic Aptitude, Computer Assisted Instruction, Individualized Instruction, Instructional Design
Vos, Hans J. – 1988
This paper considers applications of decision theory to the problem of instructional decision-making in computer-based adaptive instructional systems, using the Minnesota Adaptive Instructional System (MAIS) as an example. The first section indicates how the problem of selecting the appropriate amount of instruction in MAIS can be situated within…
Descriptors: Computer Assisted Instruction, Decision Making, Higher Education, Individualized Instruction
Lindvall, C. M.; Cox, Richard C. – 1969
The term evaluation is used here to mean either the procedure of gathering pupil data to use in planning and monitoring individual programs or the procedure of gathering and analyzing data in such a way that it leads to improvements in materials and in the instructional system. The author reviews the Winnetka Plan and the Eight-Year-Study. He then…
Descriptors: Computer Assisted Instruction, Evaluation Methods, Individualized Instruction, Models
Reed, Fay Carol; And Others – Educational Technology, 1974
This article describes a working approach that utilizes the knowledge and skill of the program author, the abilities of members of the CAI staff and the talent of educators and consultants to generate an instructional program. (Author)
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Instructional Innovation
Spuck, Dennis W.; Owen, Stephen P. – Educational Technology, 1976
Considers the structural components essential to programs of Indivisualized Instruction, leading to a model of a generalized computer managed instruction system. (JY)
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Individualized Instruction, Instructional Systems