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Samaniego, José Miguel – Digital Education Review, 2023
This paper presents a cartography of the digital literacy academic field. Such cartography is comprised of two sections: a categorization of the field through literature review and analysis, and an exploration of its main issues through thematic and network analysis. On the one hand, five conceptual categories of digital literacies are found:…
Descriptors: Cartography, Digital Literacy, Classification, Network Analysis
Balqis Albreiki; Tetiana Habuza; Nishi Palakkal; Nazar Zaki – Education and Information Technologies, 2024
The nature of education has been transformed by technological advances and online learning platforms, providing educational institutions with more options than ever to thrive in a complex and competitive environment. However, they still face challenges such as academic underachievement, graduation delays, and student dropouts. Fortunately, by…
Descriptors: Multivariate Analysis, Graphs, Identification, At Risk Students
Swai, Carina Titus; Mangowi, Steven Edward – International Journal of Information and Learning Technology, 2022
Purpose: The general goal of this paper is to help educators understand the importance of MOOC training to school teachers and their hypothetical value for predicting the use of teaching strategies in the face-to face-classroom teaching. With this purpose, the study is guided by two research questions: (1) Are there different patterns of…
Descriptors: Teacher Attitudes, Preferences, Teaching Methods, Conventional Instruction
Sun, Bo; Zhu, Yunzong; Yao, Zeng; Xiao, Rong; Xiao, Yongkang; Wei, Yungang – IEEE Transactions on Learning Technologies, 2020
Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…
Descriptors: Automation, Indexing, Item Banks, Classification
Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
McCartney, Shelagh; Rosenvasser, Ximena – SAGE Open, 2022
Students' privacy expectations in university housing have increased, a change that has been reflected in universities shifting from traditional units to increasing numbers of apartments and suites. This study examines privacy and territories in student university housing architecture, using architectural plans of 76 residences, relating the…
Descriptors: Universities, College Students, College Housing, Dormitories
Khor, Ean Teng; Dave, Darshan – International Review of Research in Open and Distributed Learning, 2022
The COVID-19 pandemic induced a digital transformation of education and inspired both instructors and learners to adopt and leverage technology for learning. This led to online learning becoming an important component of the new normal, with home-based virtual learning an essential aspect for learners on various levels. This, in turn, has caused…
Descriptors: Learning Analytics, Social Networks, Network Analysis, Classification
Ponce Campuzano, J. C. – International Journal of Mathematical Education in Science and Technology, 2019
Undergraduate students usually study Laurent series in a standard course of Complex Analysis. One of the major applications of Laurent series is the classification of isolated singular points of complex functions. Although students are able to find series representations of functions, they may struggle to understand the meaning of the behaviour of…
Descriptors: Undergraduate Students, Mathematics Education, Mathematical Concepts, Classification
Sümmermann, Moritz L. – International Journal for Technology in Mathematics Education, 2019
Ariadne is a touch-based program for the learning of homotopies of paths, without the use of formalism, by building mental models. Using Ariadne, the user can construct points, paths by dragging points and homotopies by dragging paths as well as compute winding numbers of paths, all on a variety of surfaces, through touch gestures. Ariadne…
Descriptors: Mathematics Instruction, Computer Software, Teaching Methods, Problem Solving
Annis, Jeffrey; Gauthier, Isabel; Palmeri, Thomas J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), to predict errors and response times (RTs) in a novel object recognition task in humans.…
Descriptors: Prediction, Recognition (Psychology), Artificial Intelligence, Performance
Ezell, Jeremy D.; Lending, Diane; Dillon, Thomas W.; May, Jeffrey; Hurney, Carol A.; Fulcher, Keston H. – Journal of Information Systems Education, 2019
The ability to elicit information systems requirements is a necessary learning objective for students in a contemporary information systems curriculum, and is a skill vital to their careers. Common challenges in teaching this skill include both the lack of structure and guidance in information systems textbooks as well as the view that a student's…
Descriptors: Information Systems, Curriculum Development, Curriculum Design, Systems Analysis
Shillo, Roi; Hoernle, Nicholas; Gal, Kobi – International Educational Data Mining Society, 2019
Creativity is a dynamic process which generates ideas that are both novel and of value. However there is little understanding in what drives creativity in students and how to help teachers or education experts to detect creative thinking. This paper begins to address this gap by providing a platform and experiments for studying how creative…
Descriptors: Geometry, Mathematics Instruction, Visualization, Teaching Methods
Saniyyah, Uswatul Wadhichatis; Hayati, Nur; Hidayat, Saifullah – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2021
The limitations of bacterial visualization media make bacteria consider as abstract and difficult material to study. Furthermore, the implementation of bacteria material and the integration of Islamic values are difficult to teach. This research aimed at developing and validating the BSB (Bacterial Set Box) media containing "fiqh al…
Descriptors: Islam, Biology, Science Instruction, Public Schools
Al-Jarf, Reima – Online Submission, 2022
Teaching and learning of technical terms constitute a major problem for ESP instructors and students. To help the students learn, retain, apply and relate technical terms, a multiple-associations instructional approach that focuses on connecting the printed form of the technical term with its pronunciation (the hidden sounds, double and silent…
Descriptors: English for Special Purposes, Second Language Learning, Second Language Instruction, Vocabulary Development
Siebrase, Benjamin – ProQuest LLC, 2018
Multilayer perceptron neural networks, Gaussian naive Bayes, and logistic regression classifiers were compared when used to make early predictions regarding one-year college student persistence. Two iterations of each model were built, utilizing a grid search process within 10-fold cross-validation in order to tune model parameters for optimal…
Descriptors: Classification, College Students, Academic Persistence, Bayesian Statistics
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