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Showing 1 to 15 of 31 results Save | Export
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Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
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Rouse, Sharon E.; Jones, Rose; Cleveland, Jonnie – Journal of the American Academy of Special Education Professionals, 2023
This study is on data-gathering software for special teachers in local education agencies Grades K-14. Increasing pressure for the use of accountability to follow the effectiveness of meeting educational standards has caused schools to reassess methods of using data and the core technologies surrounding its collection. The amount of data…
Descriptors: Computer Software, Computer Uses in Education, Data Collection, Educational Improvement
Matthew McGrievy – ProQuest LLC, 2024
The purpose of this descriptive research study was to evaluate the web-based practice experience tracking system at a school of public health (SPH) at a large southeastern university. Applied practice experiences (APEs) are a key component of public health education, and schools and programs of public health in the United States must provide…
Descriptors: College Faculty, College Students, Public Health, Health Education
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Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
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Gachago, Daniela; Livingston, Candice – Reading & Writing: Journal of the Reading Association of South Africa, 2020
Background: Digital storytelling (DST) has been embraced in classrooms around the world as a way to unpack issues of identity and positionality which are critical for any pedagogy concerned with social justice. However, adopting this process-orientated practice into higher education raises ethical concerns especially in relation to the normative…
Descriptors: Story Telling, Computer Uses in Education, Social Justice, Ethics
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Moyne, Martina M.; Herman, Maxwell; Gajos, Krzysztof Z.; Walsh, Conor J.; Holland, Donal P. – IEEE Transactions on Learning Technologies, 2018
This article describes the development of the Design Evaluation and Feedback Tool (DEFT), a custom-built web-based system that collects and reports data to support teaching, learning, and research in project-based engineering design education. The DEFT system collects data through short weekly questionnaires for students and instructors in…
Descriptors: Engineering Education, Design, Active Learning, Student Projects
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Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology
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Aranha, Solange; Leone, Paola – Research-publishing.net, 2016
This contribution aims at (1) discussing the characteristics of collecting, filing and storing data to have a databank of oral interactions between university students whose main objective is the learning of a second language through teletandem; and (2) defining the steps for further collections and storage. Our data are Skype sessions of foreign…
Descriptors: Databases, Data Collection, College Students, Speech Communication
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Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon – Journal of Educational Computing Research, 2016
The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…
Descriptors: Engineering Education, English (Second Language), Reading Comprehension, Language Proficiency
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Chou, Jyh Rong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The touch mouse is a new type of computer mouse that provides users with a new way of touch-based environment to interact with computers. For more than a decade, user experience (UX) has grown into a core concept of human-computer interaction (HCI), describing a user's perceptions and responses that result from the use of a product in a particular…
Descriptors: Computer Peripherals, Computer Uses in Education, Handheld Devices, Educational Technology
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Rodríguez-Hoyos, Carlos; Haya Salmón, Ignacio; Fernández-Díaz, Elia – Australasian Journal of Educational Technology, 2015
This paper presents, for further discussion, a review of the scientific literature produced internationally on the use of Social Network Sites (SNS) in different levels of education and settings. A total of 62 articles published in international scientific journals with peer review have been analysed. The main objective of this paper is to discuss…
Descriptors: Educational Research, Social Networks, Web Sites, Scientific Research
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Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
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Maurer, L. – Physics Education, 2013
Studies have shown that standard lectures and instructional laboratory experiments are not effective at teaching interference and diffraction. In response, the author created an interactive computer program that simulates interference and diffraction effects using the finite difference time domain method. The software allows students to easily…
Descriptors: Science Instruction, Physics, Science Laboratories, Scientific Concepts
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Yang, Fang; Wang, Shudong – Turkish Online Journal of Educational Technology - TOJET, 2014
This research investigates East Asian students' perceptions towards e-learning privacy. The survey was first carried out in Japan (N1 = 255) and China (N2 = 307) in 2009. In 2012 the same survey was conducted again in these two countries but with different participants (N3 = 175, N4 = 63). To survey in different countries is to verify whether…
Descriptors: Foreign Countries, Student Attitudes, Educational Technology, Electronic Learning
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Hilbig, Annemarie; Proske, Antje – Journal of Educational Multimedia and Hypermedia, 2014
Although academic writing is a complex interplay of comprehending and producing text the aspect of collecting information from source texts is hardly addressed in writing research. This study examined the impact of instructions supporting the collection process on writing quality, as well as the role of prior motivation and computer experience.…
Descriptors: Academic Discourse, Writing Assignments, Experimental Groups, Control Groups
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