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Sylena Marie Measles – ProQuest LLC, 2024
This qualitative, exploratory dissertation aimed to describe how accessibility, usability, and cognitive load experts explained and experienced the usability and accessibility aspects of the LT department's website pages, information, and digital links. A usability, accessibility, and cognitive load manual examination was conducted with four…
Descriptors: Usability, Access to Information, Cognitive Processes, Difficulty Level
Serena Lee-Cultura; Kshitij Sharma; Michail N. Giannakos – IEEE Transactions on Learning Technologies, 2024
Teacher dashboards provide insights on students' progress through visualizations and scores derived from data generated during teaching and learning activities (e.g., response times and task correctness) to improve teaching. Despite the potential usefulness of enhancing teacher dashboards, and the respective teaching practices, with rich…
Descriptors: Educational Technology, Learning Analytics, Technology Uses in Education, Student Evaluation
Yining Wang; Kexin Han; Paul Ginns – Educational Psychology Review, 2025
Cognitive load theory's incorporation of evolutionary perspectives suggests biologically primary knowledge, acquired through evolutionary processes, can support students in learning biologically secondary knowledge, the focus of typical educational curricula. Touch-based interactions using the hands are likely to be biologically primary. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Learning Processes, Difficulty Level
Wang, Wei-Tsong; Kartika Sari, Mega – Journal of Educational Computing Research, 2024
The designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by…
Descriptors: Gamification, Educational Technology, Design, Cognitive Processes
Nurzhanat Shakirova; Iza Berechikidze; Elvira Gafiyatullina – Education and Information Technologies, 2024
This study evaluated the effect of using AR technology to develop environmental literacy (RQ1), motivation (RQ2), and perceived cognitive load (RQ3) among high school students. The sample of participants in this study included 155 10th -grade students in general education. They took a semester-long Natural Resource Ecology course. The participants…
Descriptors: High School Students, Educational Technology, Student Motivation, Environment
Ruf, Alessia; Zahn, Carmen; Roos, Anna-Lena; Opwis, Klaus – Educational Technology Research and Development, 2023
Videos are an increasingly popular medium for supporting learning in various educational settings. Nowadays, newly designed video-based environments contain enhanced tools that allow for specific interactions with video materials (such as adding annotations and hyperlinks) which may well support generative learning and conceptual understanding.…
Descriptors: Educational Technology, Video Technology, Learning Processes, Concept Formation
Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
Janetta Adelle Robins Boone – ProQuest LLC, 2024
This dissertation aimed to expand knowledge and practical uses of educational technology tools in high-stakes team training environments. This study depicted the real-world impacts of virtual reality (VR) technology on learning and training for the Royal New Zealand Police Academy and those training teams in high-stakes environments.…
Descriptors: Cognitive Processes, Difficulty Level, Police Education, Police
Farkish, Araz; Bosaghzadeh, Alireza; Amiri, S. Hamid; Ebrahimpour, Reza – Education and Information Technologies, 2023
Educational multimedia has proven to be an effective and efficient way of learning. Designers strive to produce multimedia that convey concepts most efficiently. That is to design multimedia that imposes the least possible cognitive load on the learner. Mayer's multimedia design principles are well-known, and multiple pieces of research have…
Descriptors: Educational Technology, Multimedia Materials, Cognitive Processes, Difficulty Level
Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
Fatma Bayrambas; Emine Sendurur – Education and Information Technologies, 2024
Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Biofeedback
Arthur William Fodouop Kouam – Discover Education, 2024
This study investigates the effectiveness of Intelligent Tutoring Systems (ITS) in supporting students with varying levels of programming experience. Through a mixed-methods research design, the study explores the impact of ITS on student performance, adaptability to different skill levels, and best practices for utilizing ITS in heterogeneous…
Descriptors: Intelligent Tutoring Systems, Instructional Effectiveness, Programming, Skill Development
An Integrated Model for Predicting Pupils' Acceptance of Artificially Intelligent Robots as Teachers
Chen, Siyu; Qiu, Shiying; Li, Haoran; Zhang, Junhua; Wu, Xiaoqi; Zeng, Wenjie; Huang, Fuquan – Education and Information Technologies, 2023
Artificially intelligent robots as teachers (AI teachers) have attracted extensive attention due to their potential to relieve the challenge of global teacher shortage and realize universal elementary education by 2030. Despite mass production of service robots and discussions about their educational applications, the study of full-fledged AI…
Descriptors: Artificial Intelligence, Robotics, Student Attitudes, Elementary School Students
Lixiang Xu; Zhanlong Wang; Suojuan Zhang; Xin Yuan; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive learning environments for personalized education. Despite utilizing deep learning models in KT, current approaches often oversimplify students' exercise records into knowledge sequences, which fail to explore the rich…
Descriptors: Knowledge Level, Educational Technology, Intelligent Tutoring Systems, Individualized Instruction