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Zhao, Jensen; Zhao, Sherry Y. – Journal of Education for Business, 2016
E-business, e-education, e-government, social media, and mobile services generate and capture trillions of bytes of data every second about customers, suppliers, employees, and other types of data. The growing quantity of big data is an important part of every sector in the global economy. However, there is a significant shortage of business data…
Descriptors: Business Administration Education, Business Schools, Data Analysis, Data Processing
National Forum on Education Statistics, 2016
The purpose of this document is to recommend data visualization practices that will help education agencies communicate data meaning in visual formats that are accessible, accurate, and actionable for a wide range of education stakeholders. Although this resource is designed for staff in education agencies, many of the visualization principles…
Descriptors: Visualization, Data, Guides, Data Analysis
Araitz Uskola – Journal of Baltic Science Education, 2016
Inquiry-based educational Araitz Uskola contexts including observation of the Moon have been found to facilitate students' understanding of the Sun-Earth-Moon system. However, the role that the collected data play in the knowledge construction process is unclear, as the process that students develop from the collected data has not previously been…
Descriptors: Astronomy, Science Education, Knowledge Level, Data Collection
Eva Mikuska – Sage Research Methods Cases, 2016
The aim of this case study is to highlight the importance of piloting or pre-testing the research design (in this case, semi-structured interviews and narratives). Most textbooks offer minimal guidance about pre-testing the research design, and published reports rarely report whether the research was piloted and, if so, what were the results.…
Descriptors: Semi Structured Interviews, Research Methodology, Personal Narratives, Pilot Projects
What Works Clearinghouse, 2016
This protocol guided the review of research that informed the recommendations contained in the What Works Clearinghouse (WWC) practice guide Using Student Achievement Data to Support Instructional Decision Making, published in September 2009. The research review involved the following steps: (1) The research staff searched the professional…
Descriptors: Data Use, Decision Making, Academic Achievement, Data
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
National Forum on Education Statistics, 2019
Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of…
Descriptors: Individualized Instruction, Data Use, School Districts, Data Collection
O'Keefe, Bonnie; Lewis, Brandon; Schiess, Jennifer O'Neal; Weeby, Jason – Bellwether Education Partners, 2019
School performance frameworks (SPFs) are action-oriented information tools that provide information on school performance and quality across a variety of measures. SPFs have evolved as a solution for local communities to make sense of an array of student, school, and system performance data, and to support transparent and equitable decisions. SPFs…
Descriptors: Performance, Accountability, Educational Improvement, Public Schools
Narayanasamy, Senthil Kumar; Elçi, Atilla – International Journal of Distance Education Technologies, 2020
Due to tremendous reception on digital learning platforms, many online users tend to register for online courses in MOOC offered by many prestigious universities all over the world and gain a lot on cutting edge technologies in niche courses. As the reception of online courses is increasing on one side, there have been huge dropouts of…
Descriptors: Dropout Rate, Online Courses, Prevention, Universities
Metli, Akin; Lane, Jennie F. – Journal of Research in International Education, 2020
This paper suggests a revised framework for explaining, developing and assessing international mindedness (IM). A review of the literature -- that presents initiatives, challenges, and debates regarding IM -- concludes with an overview of selected conceptual frameworks that have been used to develop a shared understanding of IM. When the authors…
Descriptors: Guidelines, Data Analysis, Cultural Awareness, Global Approach
Williamson, Ben – Ethics and Education, 2020
Scientific advances in genetic analysis have been made possible in recent years by technical developments in computational biology, or bioinformatics. Bioinformatics has opened up the human genome to diverse analyses involving automated laboratory hardware and machine learning algorithms and software. As part of an emerging field of social…
Descriptors: Ethics, Biology, Information Science, Biotechnology
Madaus, Joseph W.; Dukes, Lyman L., III; Lalor, Adam R.; Aquino, Katherine; Faggella-Luby, Michael; Newman, Lynn A.; Papay, Clare; Petcu, Stefania; Scott, Sally; Wessel, Roger D. – Journal of Postsecondary Education and Disability, 2020
The body of research in the field of postsecondary education and disability is wide ranging and continues to evolve. Specifically, the literature corpus includes contributions from a range of professions and a considerable number of journals. This breadth of diversity in perspective presents significant advantages; however, it also presents…
Descriptors: Postsecondary Education, Educational Research, Guidelines, Students with Disabilities
Dooley, Laura; Makasis, Nikolas – Education Sciences, 2020
The flipped classroom has been increasingly employed as a pedagogical strategy in the higher education classroom. This approach commonly involves pre-class learning activities that are delivered online through learning management systems that collect learning analytics data on student access patterns. This study sought to utilize learning…
Descriptors: Student Behavior, Flipped Classroom, Learning Analytics, Data Interpretation
Perrotta, Carlo; Selwyn, Neil – Learning, Media and Technology, 2020
In Applied AI, or 'machine learning', methods such as neural networks are used to train computers to perform tasks without human intervention. In this article, we question the applicability of these methods to education. In particular, we consider a case of recent attempts from data scientists to add AI elements to a handful of online learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teaching Methods, Online Courses
Singer, Gonen; Golan, Maya; Rabin, Neta; Kleper, Dvir – European Journal of Engineering Education, 2020
The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…
Descriptors: Learning Disabilities, Academic Accommodations (Disabilities), Undergraduate Students, Engineering Education

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