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Hassad, Rossi A. – Statistics Education Research Journal, 2020
Training programs for statisticians and data scientists in healthcare should give greater importance to fostering inductive reasoning toward developing a mindset for optimizing Big Data. This can complement the current predominant focus on the hypothetico-deductive reasoning model, and is theoretically supported by the constructivist philosophy…
Descriptors: Statistics, Data Analysis, Data Collection, Logical Thinking
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Boticki, Ivica; Akçapinar, Gökhan; Ogata, Hiroaki – Interactive Learning Environments, 2019
In this paper log data on e-book usage is used as part of a learning analytics approach to generate user models which describe university students' characteristics in multiple dimensions. E-book usage is logged and analysed to extract information on how users use e-books for academic purposes. Two cases contributing to user modelling are…
Descriptors: Electronic Publishing, Data Collection, Data Analysis, Books
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Zhang, Zheng; Nagle, Joelle; McKishnie, Bethany; Lin, Zhen; Li, Wanjing – Pedagogies: An International Journal, 2019
This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…
Descriptors: Multiple Literacies, Educational Research, Data Collection, Data Analysis
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Cukurova, Mutlu; Luckin, Rose; Baines, Ed – Oxford Review of Education, 2018
One of the fundamental purposes of educational research is to provide evidence to facilitate effective practice. However, the evidence itself does not have much value for practitioners unless key information about the context from which the evidence was generated is also provided. In this paper, we use the word 'context' to refer to factors that…
Descriptors: Research Utilization, Evidence, Cooperative Learning, Problem Solving
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Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
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Wen, Miaomiao; Maki, Keith; Wang, Xu; Dow, Steven P.; Herbsleb, James; Rose, Carolyn – International Educational Data Mining Society, 2016
To create a satisfying social learning experience, an emerging challenge in educational data mining is to automatically assign students into effective learning teams. In this paper, we utilize discourse data mining as the foundation for an online team-formation procedure. The procedure features a deliberation process prior to team assignment,…
Descriptors: Educational Research, Data Collection, Cooperative Learning, Predictor Variables
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Wise, Alyssa Friend; Schwarz, Baruch B. – International Journal of Computer-Supported Collaborative Learning, 2017
The field of Computer Supported Computer Learning (CSCL) is at a critical moment in its development. Internally we face issues of fragmentation and questions about what progress is being made. Externally the rise of social media and a variety of research communities that study the interactions within it raise questions about our unique identity…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Educational Theories, Student Centered Learning
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Sharma, Kshitij; Chavez-Demoulin, Valérie; Dillenbourg, Pierre – Journal of Learning Analytics, 2017
The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in statistics, called extreme value theory (EVT). EVT claims that the bulk of normal distribution is comprised mainly of uninteresting variations while the most…
Descriptors: Foreign Countries, Educational Research, Statistical Distributions, Theories
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Díaz-Lázaro, José Javier; Fernández, Isabel M. Solano; del Mar Sánchez Vera, María – Journal of New Approaches in Educational Research, 2017
The concept of Learning Analytics, as we understand it today, is relatively new but the practice of evaluating user behavior is not innovative. For years, technological development, along with other educational aspects, have encouraged, developed and facilitated this practice as a way of providing a personalized quality experience to students. The…
Descriptors: Foreign Countries, College Students, Cooperative Learning, Electronic Learning
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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
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Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
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Kelly, Nick; Thompson, Kate; Yeoman, Pippa – Journal of Learning Analytics, 2015
This paper describes theory-led design as a way of developing novel tools for learning analytics (LA). It focuses upon the domain of automated discourse analysis (ADA) of group learning activities to help an instructor to orchestrate online groups in real-time. The paper outlines the literature on the development of LA tools within the domain of…
Descriptors: Data Analysis, Data Collection, Computer Assisted Instruction, Cooperative Learning
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Jager, Sake, Ed.; Kurek, Malgorzata, Ed.; O'Rourke, Breffni, Ed. – Research-publishing.net, 2016
Trinity College Dublin was proud to host, in April 2016, the Second International Conference on Telecollaboration in Higher Education, with the theme "New Directions in Telecollaborative Research and Practice." Over two and a half days, 150 participants offered 95 research presentations, posters, and "problem shared" sessions.…
Descriptors: Telecommunications, Cooperation, Higher Education, Educational Research
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Mavrou, Katerina; Douglas, Graeme; Lewis, Ann – International Journal of Research & Method in Education, 2007
This paper focuses primarily on the methodological considerations of a study investigating the interactions of pairs of disabled and non-disabled children working together on computer-based tasks, in mainstream primary schools in Cyprus. Twenty dyads of pupils (each pair comprising a disabled child and a non-disabled peer), were observed and…
Descriptors: Foreign Countries, Verbal Communication, Interaction, Research Methodology
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