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Download full textAntoniadou, Victoria – Research-publishing.net, 2017
Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…
Descriptors: Data Collection, Data Analysis, Qualitative Research, Data Processing
Direct linkTing, Choo-Yee; Ho, Chiung Ching – British Journal of Educational Technology, 2015
This paper presents the dataset collected from student interactions with INQPRO, a computer-based scientific inquiry learning environment. The dataset contains records of 100 students and is divided into two portions. The first portion comprises (1) "raw log data", capturing the student's name, interfaces visited, the interface…
Descriptors: Inquiry, Educational Environment, Scientific Methodology, Interaction
Carter, Sunshine; Ambrosi, Thomas – Computers in Libraries, 2011
The University of Minnesota-Duluth is the second largest campus in the University of Minnesota system. The UMD library, which serves more than 11,000 students and 500 faculty members, is primarily an undergraduate library. The reference team consists of eight librarians, including author Sunshine Carter, reference and electronics resources…
Descriptors: Reference Services, Library Automation, Library Development, Academic Libraries
Brown, Mike – Technology & Learning, 2006
Today, collecting, evaluating, and analyzing data--the basic concepts of scientific study--usually involves electronic probeware. Probeware combines sensors that collect data with software that analyzes it once it has been sent to a computer or calculator. Science inquiry has benefited greatly from the use of electronic probeware, providing…
Descriptors: Data Collection, Information Retrieval, Data Processing, Program Descriptions
