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Hatice Yildiz Durak – Education and Information Technologies, 2025
Feedback is critical in providing personalized information about educational processes and supporting their performance in online collaborative learning environments. However, giving effective feedback and monitoring its effects, which is especially important in online environments, is a complex issue. Although providing feedback by analyzing…
Descriptors: Feedback (Response), Online Systems, Electronic Learning, Learning Analytics
Vanessa Joy A. Anacta – Research in Learning Technology, 2024
The use of navigation applications changed the way people find their way in an unfamiliar environment. A combination of maps, images and textual route instructions shown (or with audio) on one screen guides the user to the destination but may sometimes be overwhelming. This article investigated the spatial knowledge participants acquired after…
Descriptors: Spatial Ability, Maps, Visual Aids, Computer Assisted Instruction
Craig, Emory; Georgieva, Maya – Current Issues in Education, 2020
Spatial computing is the fourth paradigm of the digital revolution and could profoundly transform learning. It is the convergence of several technological developments, including Augmented and Virtual Reality (XR), Artificial Intelligence, haptic feedback, motion-capture, and situational awareness engines. This article explores how the shift from…
Descriptors: Computer Simulation, Simulated Environment, Artificial Intelligence, Assistive Technology
Mwambe, Othmar Othmar; Tan, Phan Xuan; Kamioka, Eiji – Education Sciences, 2021
As intelligent systems demand for human-automation interaction increases, the need for learners' cognitive traits adaptation in adaptive educational hypermedia systems (AEHS) has dramatically increased. AEHS utilize learners' cognitive processes to attain fair human-automation interaction for their adaptive processes. However, obtaining accurate…
Descriptors: Eye Movements, Man Machine Systems, Interaction, Automation
Kasun Gomis; Mandeep Saini; Chaminda Pathirage; Mohammed Arif – Quality Assurance in Education: An International Perspective, 2023
Purpose: Persistent critical issues in built environment higher education (BEHE) curricula may need to be addressed by improving course organisation and management. In addition to the implications of the COVID pandemic, issues such as inadequate communication and lack of contemporary and innovative practices integrated with course delivery have…
Descriptors: Higher Education, Course Organization, COVID-19, Pandemics
Li, Wei; Chiu, Chuang-Kai; Tseng, Judy C. R. – Educational Technology & Society, 2019
In context-aware ubiquitous learning, the learning resources of the learning environment are limited, and the learners need to frequently move between learning targets. Therefore, how to provide appropriate learning paths for students in the real world is essential in context-aware ubiquitous learning. In this study, a personalized navigation…
Descriptors: Cognitive Style, Navigation, Electronic Learning, Educational Technology
Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – Interactive Technology and Smart Education, 2018
Purpose: The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of "Mobile Learning Analytics", a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Pechenkina, Ekaterina – Australasian Journal of Educational Technology, 2017
Mobile applications (apps) are used in higher education (HE) in a variety of ways, including as learning tools, study organisers, for marketing, and recruitment of new students. Purposed with easing student transition into university life, organiser apps have a capacity to assist students with various aspects of university experience, freeing up…
Descriptors: Classification, Computer Oriented Programs, Educational Technology, Handheld Devices
Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – International Association for Development of the Information Society, 2017
This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Williams, Ann; Davinroy, Thomas C. – Change: The Magazine of Higher Learning, 2015
In the current educational climate, where clearly articulated learning objectives are required, it is clear that the spontaneous teachable moment still has its place. Authors Ann Williams and Thomas Davinroy think that instructors from almost any discipline can employ Google Earth as a tool to take advantage of teachable moments through the…
Descriptors: Behavioral Objectives, Classroom Environment, Classroom Techniques, Electronic Classrooms
Benedetti, Christopher – Journal of College Teaching & Learning, 2015
This article examines the characteristics and challenges of online instruction and presents a model for improving learner adaptation in an online classroom. Instruction in an online classroom presents many challenges, including learner individualization. Individual differences in learning styles and preferences are often not considered in the…
Descriptors: Models, Online Courses, Electronic Learning, Student Adjustment
Shelton, Brett E.; Parlin, Mary Ann – International Journal of Mobile and Blended Learning, 2016
Leveraging the use of mobile devices for education, such as instructional games, is an area of increasing interest for targeted subpopulations of students including those who are deaf/hard-of-hearing (DHH). This paper outlines the perspectives of Deaf Education teachers and DHH children who participated in the GeePerS*Math project. Interviews and…
Descriptors: Mathematics Instruction, Deafness, Hearing Impairments, Children
Lozano-Guerrero, Antonio José; Valenzuela-Valdés, Juan Francisco – IEEE Transactions on Education, 2015
This paper presents a new course, Radionavigation Systems, whose laboratory and theoretical components complement each other to enhance student learning. Radionavigation skills and knowledge are taught by means of various instructional methods, and the laboratory successfully merges hands-on learning using specific instrumentation and software…
Descriptors: Radio, Navigation, Geographic Information Systems, College Students
Brown, David J.; McHugh, David; Standen, Penny; Evett, Lindsay; Shopland, Nick; Battersby, Steven – Computers & Education, 2011
The research reported here is part of a larger project which seeks to combine serious games (or games-based learning) with location-based services to help people with intellectual disabilities and additional sensory impairments to develop work based skills. Specifically this paper reports on where these approaches are combined to scaffold the…
Descriptors: Feedback (Response), Mental Retardation, Mobility, Psychoeducational Methods
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