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Onwuegbuzie, Anthony J.; Weinbaum, Rebecca K. – Journal of Educational Issues, 2016
Recently, several authors have attempted to make the literature review process more transparent by providing a step-by-step guide to conducting literature reviews. However, although these works are very informative, none of them delineate how to display information extracted from literature reviews in a reader-friendly and visually appealing…
Descriptors: Literature Reviews, Visual Aids, Qualitative Research, Data Analysis
Williamson, Ben – Pedagogy, Culture and Society, 2016
Educational data science is an emerging transdisciplinary field formed from an amalgamation of data science and elements of biological, psychological and neuroscientific knowledge about learning, or learning science. This article conceptualises educational data science as a biopolitical strategy focused on the evaluation and management of the…
Descriptors: Neurosciences, Case Studies, Data Analysis, Data
Khosravi, Hassan; Shabaninejad, Shiva; Bakharia, Aneesha; Sadiq, Shazia; Indulska, Marta; Gasevic, Dragan – Journal of Learning Analytics, 2021
Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…
Descriptors: Learning Analytics, Visual Aids, Artificial Intelligence, Information Retrieval
Deboeck, Pascal R.; Cole, David A.; Preacher, Kristopher J.; Forehand, Rex; Compas, Bruce E. – International Journal of Behavioral Development, 2021
Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include…
Descriptors: Intervention, Prevention, Individual Differences, Models
Bozkurt, Aras – Open Praxis, 2021
The purpose of this research is to examine the research that has been done on MOOCs by applying data mining and analytic approaches and to depict the current state of MOOC research. The text mining revealed four broad themes: (I) MOOCs as a mainstreaming learning model in HE, (II) motivation and engagement issues in MOOCs, (III) assessment issues…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Educational Research
Xu, Jennifer; Frydenberg, Mark – Information Systems Education Journal, 2021
Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…
Descriptors: Programming Languages, Computer Science Education, Information Systems, Relevance (Education)
Smillie, Siri – Education Commission of the States, 2021
State policymakers recognize the economic imperative to ensure that education and training are connected to good jobs. Employers are seeking -- and are often struggling -- to hire appropriately skilled workers. For job seekers, the path to a good job with education beyond a high school diploma is certainly clearer than one without postsecondary…
Descriptors: Education Work Relationship, State Policy, Educational Policy, Policy Formation
Demirbas, Irem; Sahin, Ayfer – International Journal of Progressive Education, 2020
Today, digital technologies are used extensively in all areas of life, so education has important role to raise individuals who are researching, questioning, and constructing the knowledge. Digital storytelling; Written, visual, audio tools that work together, providing information in a digital environment is a method that allows students to learn…
Descriptors: Foreign Countries, Story Telling, Technology Uses in Education, Educational Research
Wandera, David B. – Reading Research Quarterly, 2020
This article is based on the assumption that indigenous communities have a capacity to generate knowledge, and this capacity is largely underutilized or peripheralized in mainstream research. In this empirical qualitative study, the author makes a case for employing local non-Western analytic tools, in addition to Western analytic tools, to…
Descriptors: Foreign Countries, Indigenous Populations, Indigenous Knowledge, Afrocentrism
Morelock, John R.; Sochacka, Nicola W.; Lewis, Racheida S.; Walther, Joachim; Culloty, Christian M.; Hopkins, Jacob S.; Vedanarayanan, Shweta; Ofunne, Chukwuemeka K. – Advances in Engineering Education, 2020
This paper describes the use of a novel research platform called SenseMaker® to collect and analyze real-time data in the form of participants' qualitative accounts of COVID-19 along with online learning experiences and participants' own quantitative assessments of those experiences. Participants were faculty, students, and staff in the College of…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
Gregg, Nikole; Leventhal, Brian C. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To do so effectively, it is important that these…
Descriptors: Data Analysis, Evidence Based Practice, Visualization, Test Results
Lundqvist, Karsten Ø.; Liyanagunawardena, Tharindu; Starkey, Louise – International Review of Research in Open and Distributed Learning, 2020
Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing…
Descriptors: Feedback (Response), Online Courses, Student Experience, Peer Relationship
Corcoran, Casey T.; Miller, Elizabeth; Sohn, Lisa; Chugani, Carla D. – Health Education & Behavior, 2020
As colleges seek to respond to campus sexual assault, administrators are making policies, programs, and resources related to sexual violence available to students and members of the school community online. Keeping this content current and accessible can be challenging in the context of rapidly changing information and competing priorities across…
Descriptors: Rape, Check Lists, College Students, School Policy
Pishtari, Gerti; Rodríguez-Triana, María J.; Sarmiento-Márquez, Edna M.; Pérez-Sanagustín, Mar; Ruiz-Calleja, Adolfo; Santos, Patricia; P. Prieto, Luis; Serrano-Iglesias, Sergio; Väljataga, Terje – British Journal of Educational Technology, 2020
Mobile and Ubiquitous Learning (m/u-learning) are finding an increasing adoption in education. They are often distinguished by hybrid learning environments that encompass elements of formal and informal learning, in activities that happen in distributed settings (indoors and outdoors), across physical and virtual spaces. Despite their purported…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Learning Processes
Harris, Lois; Wyatt-Smith, Claire; Adie, Lenore – Teachers and Teaching: Theory and Practice, 2020
Data walls are a data use practice increasingly being adopted in western, Anglophone countries to display student academic achievement data. The purpose of data walls is to improve teaching and learning by helping teachers and/or students to identify patterns of growth and achievement, set goals, and plan instructional interventions or…
Descriptors: Academic Achievement, Data Use, Teaching Methods, Goal Orientation

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