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Scruggs, Richard; Baker, Ryan S.; Pavlik, Philip I., Jr.; McLaren, Bruce M.; Liu, Ziyang – Educational Technology Research and Development, 2023
Despite considerable advances in knowledge tracing algorithms, educational technologies that use this technology typically continue to use older algorithms, such as Bayesian Knowledge Tracing. One key reason for this is that contemporary knowledge tracing algorithms primarily infer next-problem correctness in the learning system, but do not…
Descriptors: Algorithms, Prediction, Knowledge Level, Video Games
Sebastian Hobert; Florian Berens – Educational Technology Research and Development, 2024
Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Learning Processes, Teaching Methods
Li, Shan; Zheng, Juan; Lajoie, Susanne P.; Wiseman, Jeffrey – Educational Technology Research and Development, 2021
Prior research has focused extensively on how emotion tendencies (e.g., duration, frequency, intensity, and valence) affect students' performance, but little is known about emotion variability (i.e., the fluctuations in emotion states) and how emotion variability affects performance. In this paper, emotion variability was examined among 21 medical…
Descriptors: Correlation, Emotional Response, Self Management, Learning Processes
Wang, Tingting; Li, Shan; Huang, Xiaoshan; Lajoie, Susanne P. – Educational Technology Research and Development, 2023
This study examined how task complexity affected the temporal characteristics of self-regulated learning (SRL) behaviours in clinical reasoning. Eight-eight (N = 88) medical students participated in this study. They were required to diagnose two virtual patients of varying complexity in BioWorld, an intelligent tutoring system (ITS) designed to…
Descriptors: Medical Students, Difficulty Level, Independent Study, Student Behavior
Mavrikis, Manolis; Rummel, Nikol; Wiedmann, Michael; Loibl, Katharina; Holmes, Wayne – Educational Technology Research and Development, 2022
Educational technologies in mathematics typically focus on fostering either procedural knowledge by means of structured tasks or, less often, conceptual knowledge by means of exploratory tasks. However, both types of knowledge are needed for complete domain knowledge that persists over time and supports subsequent learning. We investigated in two…
Descriptors: Fractions, Mathematics Instruction, Elementary School Students, Cross Cultural Studies
Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Educational Technology Research and Development, 2020
Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in…
Descriptors: Intelligent Tutoring Systems, Program Implementation, Computer Software, Mathematics Skills
Frick, Theodore W.; Myers, Rodney D.; Dagli, Cesur – Educational Technology Research and Development, 2022
In this naturalistic design-research study, we tracked 172,417 learning journeys of students who were interacting with an online resource, the Indiana University Plagiarism Tutorials and Tests (IPTAT) at https://plagiarism.iu.edu. IPTAT was designed using First Principles of Instruction (FPI; Merrill in Educ Technol Res Dev 50:43-59, 2002,…
Descriptors: Time, Educational Principles, Instructional Design, Instructional Effectiveness
Lee, Jungmin; Chow, Sy-Miin; Lei, Puiwa; Wijekumar, Kausalai; Molenaar, Peter C. M. – Educational Technology Research and Development, 2021
The intelligent tutoring system of structure strategy (ITSS) is a web-based digital tutoring system proven to be effective in helping students recognize and use text structures to comprehend and recall texts. However, little is known about the dynamic learning processes within the ITSS. This study aims to investigate the effects of feedback dosage…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Time Factors (Learning), Web Based Instruction
Kausalai Kay Wijekumar; Karen R. Harris; Steve Graham; Puiwa Lei – Educational Technology Research and Development, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three important areas of writing at the upper elementary grade levels. First, the web-based intelligent tutoring system for the text structure strategy (ITSS) was used to teach children how to read source…
Descriptors: Elementary School Students, Grade 5, Persuasive Discourse, Writing (Composition)
Aslan, Sinem; Alyuz, Nese; Okur, Eda; Mete, Sinem Emine; Oktay, Ece; Esme, Asli Arslan – Educational Technology Research and Development, 2018
The goal of this research is to investigate the effect of emotion-aware interventions on students' behavioral and emotional states. To this end, we collected data from 12 students in the 9th grade in a high school in Turkey. The data collection took place in two sessions of an English Course. While the students were reading articles and solving…
Descriptors: Foreign Countries, High School Students, Grade 9, Psychological Patterns
Thompson, Nik; McGill, Tanya Jane – Educational Technology Research and Development, 2017
This paper details the design, development and evaluation of an affective tutoring system (ATS)--an e-learning system that detects and responds to the emotional states of the learner. Research into the development of ATS is an active and relatively new field, with many studies demonstrating promising results. However, there is often no practical…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Psychological Patterns, Affective Measures
Jamet, Eric; Fernandez, Jonathan – Educational Technology Research and Development, 2016
The present study investigated whether learning how to use a web service with an interactive tutorial can be enhanced by cueing. We expected the attentional guidance provided by visual cues to facilitate the selection of information in static screen displays that corresponded to spoken explanations. Unlike most previous studies in this area, we…
Descriptors: Intelligent Tutoring Systems, Web Sites, Cues, Visual Stimuli
Verdú, Elena; Regueras, Luisa M.; Gal, Eran; de Castro, Juan P.; Verdú, María J.; Kohen-Vacs, Dan – Educational Technology Research and Development, 2017
INTUITEL is a research project aiming to offer a personalized learning environment. The INTUITEL approach includes an Intelligent Tutoring System that gives students recommendations and feedback about what the best learning path is for them according to their profile, learning progress, context and environmental influences. INTUITEL combines…
Descriptors: Technology Integration, Intelligent Tutoring Systems, Computer Networks, Computer System Design
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Abdollahi, Abbas; Horng, Shi-Jinn; Lim, Heuiseok – Educational Technology Research and Development, 2016
Nowadays, intelligent tutoring systems are considered an effective research tool for learning systems and problem-solving skill improvement. Nonetheless, such individualized systems may cause students to lose learning motivation when interaction and timely guidance are lacking. In order to address this problem, a solution-based intelligent…
Descriptors: Intelligent Tutoring Systems, Technology Integration, Educational Games, Formative Evaluation
Trevors, Gregory; Duffy, Melissa; Azevedo, Roger – Educational Technology Research and Development, 2014
Hypermedia learning environments (HLE) unevenly present new challenges and opportunities to learning processes and outcomes depending on learner characteristics and instructional supports. In this experimental study, we examined how one such HLE--MetaTutor, an intelligent, multi-agent tutoring system designed to scaffold cognitive and…
Descriptors: Notetaking, Intelligent Tutoring Systems, Hypermedia, Scaffolding (Teaching Technique)
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