[HTML][HTML] Personalized feedback in digital learning environments: Classification framework and literature review

U Maier, C Klotz - Computers and Education: Artificial Intelligence, 2022 - Elsevier
Digital learning technologies offer many opportunities to personalize instruction and
learning in K-12 and higher education. In the last ten years, a growing body of research …

Item selection with collaborative filtering in on-the-fly multistage adaptive testing

J Xiao, O Bulut - Applied Psychological Measurement, 2022 - journals.sagepub.com
An important design feature in the implementation of both computerized adaptive testing and
multistage adaptive testing is the use of an appropriate method for item selection. The item …

Learning analytics and computerized formative assessments: An application of Dijkstra's shortest path algorithm for personalized test scheduling

O Bulut, J Shin, DC Cormier - Mathematics, 2022 - mdpi.com
The use of computerized formative assessments in K–12 classrooms has yielded valuable
data that can be utilized by learning analytics (LA) systems to produce actionable insights for …

[PDF][PDF] Recommendation System for Leisure Time-Management in Quarantine Conditions.

O Veres, P Ilchuk, O Kots, Y Levus, O Vlasenko - MoMLeT+ DS, 2022 - ceur-ws.org
The paper describes the problems during quarantine restrictions and how this affects the
psycho-emotional health of the person. The need to adapt and modify the usual forms of …

[PDF][PDF] Рекомендаційна система планування дозвілля в умовах карантину

О Верес, Я Левус - Вісник Національного університету « …, 2022 - science.lpnu.ua
Досліджено проблему планування організації дозвілля у періоди вимушеного
перебування вдома із використанням засобів інформаційних технологій. У роботі …

Toward Personalised Learning Experiences: Beyond Prompt Engineering

J Kruis, MS Pera, Z Napel, M Landoni… - Proceedings of the 23rd …, 2024 - dl.acm.org
We discuss the foundation of a collaborative effort to explore AI's role in supporting (teachers
and) children in their learning experiences. We integrate principles of educational …

[PDF][PDF] Methods of Recommendations for Analysis of Computer Components.

O Veres, P Ilchuk, O Kots - MoMLeT+ DS, 2023 - ceur-ws.org
The article is devoted to the study of the problem of analyzing computer components for the
purpose of easy construction of computers, their complete analysis and improvement of …

Recommendation System for Leisure Time-Management in Quarantine Conditions

O Vlasenko, O Veres, P Ilchuk, O Kots… - … Technologies and Data …, 2022 - eprints.zu.edu.ua
The paper describes the problems during quarantine restrictions and how this affects the
psycho-emotional health of the person. The need to adapt and modify the usual forms of …

Comprehensive Analysis of Deep Learning-based Customer Feedback Classification Methodologies for Recommender Systems

N Srinu, J Paramesh, M Sriram - 2023 9th International …, 2023 - ieeexplore.ieee.org
The provision of pertinent information about people and products is still a crucial
prerequisite for an effective recommender system (RS) to provide top-notch …

[PDF][PDF] ЗАСТОСУВАННЯ МЕТОДІВ РЕКОМЕНДАЦІЙ В ПРОЦЕСАХ АНАЛІЗУ КОМП'ЮТЕРНИХ КОМПЛЕКТУЮЧИХ

О Верес, О Гадзало - 2023 - science.lpnu.ua
Досліджено проблеми аналізу комп'ютерних комплектуючих, щоб полегшити
конструювання комп'ютерів, виконати повний аналіз та покращити інформаційно …