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Nguyen, Andy; Gardner, Lesley; Sheridan, Don – Journal of Information Systems Education, 2020
Data analytics in higher education provides unique opportunities to examine, understand, and model pedagogical processes. Consequently, the methodologies and processes underpinning data analytics in higher education have led to distinguishing, highly correlative terms such as Learning Analytics (LA), Academic Analytics (AA), and Educational Data…
Descriptors: Learning Analytics, Higher Education, Computer Assisted Instruction, Student Centered Learning
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Yuchen Liu; Stanislav Pozdniakov; Roberto Martinez-Maldonado – Australasian Journal of Educational Technology, 2024
Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…
Descriptors: Visualization, Story Telling, Data Use, Cognitive Processes
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Gelan, Anouk; Fastré, Greet; Verjans, Martine; Martin, Niels; Janssenswillen, Gert; Creemers, Mathijs; Lieben, Jonas; Depaire, Benoît; Thomas, Michael – Computer Assisted Language Learning, 2018
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…
Descriptors: Data Collection, Data Analysis, Computer Assisted Instruction, Second Language Instruction
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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Sánchez, Inmaculada Arnedillo, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the 14th International Conference on Mobile Learning 2018, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, April 14-16, 2018. The Mobile Learning 2018 Conference seeks to provide a forum for the presentation and discussion of mobile…
Descriptors: Electronic Learning, Educational Research, Data Collection, Data Analysis
Picciano, Anthony G. – Journal of Asynchronous Learning Networks, 2012
Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…
Descriptors: Higher Education, Decision Making, Data, Data Analysis
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Liu, Xianghu – English Language Teaching, 2014
This study investigates the attitudes towards, and practices of, computer-assisted autonomous learning in learning English of 160 students from three different higher education institutions in China. To do this, a questionnaire was completed by 160 participants, and follow-up in-depth interviews were undertaken with six participants and six of…
Descriptors: Foreign Countries, Student Attitudes, Computer Assisted Instruction, Electronic Learning
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Cendan, Juan C.; Johnson, Teresa R. – Advances in Physiology Education, 2011
The Association of American Medical Colleges has encouraged educators to investigate proper linkage of simulation experiences with medical curricula. The authors aimed to determine if student knowledge and satisfaction differ between participation in web-based and manikin simulations for learning shock physiology and treatment and to determine if…
Descriptors: Medical Education, Medical Students, Physiology, Internet
Allen, I. Elaine; Seaman, Jeff – Babson Survey Research Group, 2015
This report is the twelfth annual report on the state of online learning in U.S. higher education. The survey is designed, administered and analyzed by the Babson Survey Research Group, with data collection conducted in partnership with the College Board and additional data from the National Center for Education Statistics' Integrated…
Descriptors: Electronic Learning, Higher Education, Distance Education, Online Courses
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Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
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Wimpenny, Katherine; Savin-Baden, Maggi; Mawer, Matt; Steils, Nicole; Tombs, Gemma – Australasian Journal of Educational Technology, 2012
In the changing context of globalised higher education, a series of pedagogical shifts have occurred, and with them, a number of interactive learning approaches have emerged. This article reports on findings taken from a large-scale study that explored the socio-political impact of virtual world learning on higher education in the UK, specifically…
Descriptors: Foreign Countries, Higher Education, Teaching Methods, Computer Simulation
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Collyer, Charles E. – Teaching of Psychology, 1983
Described are computer assisted instruction exercises designed by a college professor to help undergraduate psychology students acquire fundamental skills in data collection--recording the data, using tables and graphs, and recognizing functional relationships. (RM)
Descriptors: Computer Assisted Instruction, Data Analysis, Data Collection, Data Processing
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Kirkgoz, Yasemin – Turkish Online Journal of Educational Technology - TOJET, 2011
This study investigates designing and implementing a speaking course in which face-to-face instruction informed by the principles of Task-Based Learning is blended with the use of technology, the video, for the first-year student teachers of English in Turkish higher education. The study consisted of three hours of task-based classroom…
Descriptors: Foreign Countries, Second Language Instruction, Second Language Learning, Video Technology
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Halley, Fred S. – Teaching Sociology, 1991
Suggests using simulated data to teach students about the nature and use of statistical tests and measures. Observes that simulated data contains built-in pure relationships with no poor response rates or coding or sampling errors. Recommends suitable software. Includes information on using data sets, demonstrating statistical principles, and…
Descriptors: Computer Assisted Instruction, Computer Simulation, Courseware, Data Analysis
Baer, Marc – 1978
This guide is intended as an aid for historians interested in utilizing the computer as a resource for teaching undergraduate college level courses. Four types of information are listed. Part I lists computer based instructional packages which concetrate on data analysis (in contrast with simulations, games, or tutorials) and which use pre-1950…
Descriptors: Archives, Computer Assisted Instruction, Data Analysis, Data Bases
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