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Sugene Kim – Journal of Multilingual and Multicultural Development, 2024
This study reports on an analysis of user-generated comments in response to a newspaper article criticising an overwhelmingly Anglicised user interface in self-ordering kiosks in South Korea. A total of 1,206 comments were subjected to qualitative analysis to identify salient themes reflecting the public's attitudes towards the practice and…
Descriptors: Public Opinion, Foreign Countries, Language Attitudes, Data Analysis
Fergusson, Anna; Wild, Chris J. – Teaching Statistics: An International Journal for Teachers, 2021
The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…
Descriptors: Data, Data Analysis, Skill Development, Discovery Learning
Hofmann, Andreas; Cross, Megan; Karow, Malte A.; Straub, Jan H.; Clemen, Christoph S.; Eichinger, Ludwig – Biochemistry and Molecular Biology Education, 2019
The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two-sided Student's t test is carried out…
Descriptors: Data Analysis, Graphs, Computer Software, Computer Uses in Education
Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
Pardo, Abelardo; Bartimote-Aufflick, Kathryn; Shum, Simon Buckingham; Dawson, Shane; Gao, Jing; Gaševic, Dragan; Leichtweis, Steve; Liu, Danny; Martínez-Maldonado, Roberto; Mirriahi, Negin; Moskal, Adon Christian Michael; Schulte, Jurgen; Siemens, George; Vigentini, Lorenzo – Journal of Learning Analytics, 2018
The learning analytics community has matured significantly over the past few years as a middle space where technology and pedagogy combine to support learning experiences. To continue to grow and connect these perspectives, research needs to move beyond the level of basic support actions. This means exploring the use of data to prove richer forms…
Descriptors: Individualized Instruction, Data Analysis, Learning, Feedback (Response)
Larson, Eric C.; Vieregger, Carl – Journal of Information Systems Education, 2019
This teaching case highlights the complex and unique strategic issues facing social media platform companies, using Facebook as the primary, motivating example. The case centers on the breach of trust that occurred when Cambridge Analytica acquired user data from 87 million Facebook accounts and then attempted to sway the 2016 U.S. Presidential…
Descriptors: Social Media, Strategic Planning, Trust (Psychology), Users (Information)
Nunn, John – Physics Education, 2016
A cordless mouse with an added reed switch is used as a wireless data logger to record every time the wheel of a trolley completes a revolution. The limitations of the system in terms of maximum clicking rate and spatial resolution are considered and data obtained from the descent of a trolley down a ramp at various different angles is analysed in…
Descriptors: Computer Peripherals, Computers, Computer Uses in Education, Computer Interfaces
Bodily, Robert; Graham, Charles R.; Bush, Michael D. – Educational Technology, 2017
This article describes the crossroads between learning analytics and learner engagement. The authors do this by describing specific challenges of using analytics to support student engagement from three distinct perspectives: pedagogical considerations, technological issues, and interface design concerns. While engaging online learners presents a…
Descriptors: Learner Engagement, Online Courses, Educational Opportunities, Barriers
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Martinez-Maldonado, Roberto; Pardo, Abelardo; Mirriahi, Negin; Yacef, Kalina; Kay, Judy; Clayphan, Andrew – Journal of Learning Analytics, 2015
Designing, validating, and deploying learning analytics tools for instructors or students is a challenge that requires techniques and methods from different disciplines, such as software engineering, human-computer interaction, computer graphics, educational design, and psychology. Whilst each has established its own design methodologies, we now…
Descriptors: Data Analysis, Learning, Design, Validity
Chen, Jingjing; Xu, Jianliang; Tang, Tao; Chen, Rongchao – Interactive Learning Environments, 2017
Interaction is critical for successful teaching and learning in a virtual learning environment (VLE). This paper presents a web-based interaction-aware VLE--WebIntera-classroom--which aims to augment learning interactions by increasing the learner-to-content and learner-to-instructor interactions. We design a ubiquitous interactive interface that…
Descriptors: Virtual Classrooms, Interaction, Web Based Instruction, Computer Interfaces
Schneider, Bertrand; Blikstein, Paulo – Journal of Educational Data Mining, 2015
In this paper, we describe multimodal learning analytics (MMLA) techniques to analyze data collected around an interactive learning environment. In a previous study (Schneider & Blikstein, submitted), we designed and evaluated a Tangible User Interface (TUI) where dyads of students were asked to learn about the human hearing system by…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Environment
Denley, Tristan – Research & Practice in Assessment, 2014
This article explores the challenges that students face in navigating the curricular structure of post-secondary degree programs, and how predictive analytics and choice architecture can play a role. It examines Degree Compass, a course recommendation system that successfully pairs current students with the courses that best fit their talents and…
Descriptors: Achievement Gap, Low Income Groups, Minority Group Students, Data Collection
Kuosa, Kirsi; Distante, Damiano; Tervakari, Anne; Cerulo, Luigi; Fernández, Alejandro; Koro, Juho; Kailanto, Meri – International Journal of Distance Education Technologies, 2016
This paper presents two interactive visualization tools for learning management systems (LMS) in order to improve learning and teaching in online courses. The first tool was developed at the Intelligent Information Systems Laboratory (IISLab) at the Tampere University of Technology (TUT). The tool is used to analyse students' activity from…
Descriptors: Interaction, Visualization, Online Courses, Electronic Learning
Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games