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Lijin Zhang; Xueyang Li; Zhiyong Zhang – Grantee Submission, 2023
The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…
Descriptors: Computer Software, Programming Languages, Data Analysis, Visual Aids
Churiyah, Madziatul; Sholikhan, Sholikhan; Filianti, Filianti – World Journal on Educational Technology: Current Issues, 2022
Mobile learning enables organizations to meet the educational demands of digital native learners in the digital era. Education at the vocational high school level also makes use of it, as this level of education has unique characteristics in terms of the type of learning that occurs, notably the emphasis of practice-based learning. There has not…
Descriptors: Bibliometrics, Computer Software, Vocational High Schools, Telecommunications
Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Julia, J.; Afrianti, Nurul; Soomro, Kamal Ahmed; Supriyadi, Tedi; Dolifah, Dewi; Isrokatun, I.; Erhamwilda, E.; Ningrum, Dedah – European Journal of Educational Research, 2020
Nowadays, teaching and learning activity employing the flipped classroom model has an important position in the process of providing education. This research aimed at identifying and analyzing articles examining the flipped classroom model that has been published in several reputable international journals issued in the 2010-2019 timeframe, which…
Descriptors: Teaching Methods, Bibliometrics, Models, Journal Articles
Gulzar, Zameer; Leema, A. Anny – International Journal of Web-Based Learning and Teaching Technologies, 2018
This article describes how with a non-formal education, a scholar has to choose courses among various domains to meet the research aims. In spite of this, the availability of large number of courses, makes the process of selecting the appropriate course a tedious, time-consuming, and risky decision, and the course selection will directly affect…
Descriptors: Electronic Learning, Information Retrieval, Classification, Computer Science Education
Cai, Zhiqiang; Siebert-Evenstone, Amanda; Eagan, Brendan; Shaffer, David Williamson; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2019
Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text…
Descriptors: Semantics, Computational Linguistics, Evidence, Coding
Tokat, Feyza – International Journal of Education and Literacy Studies, 2022
Wattpad platform has reached a significant number of users in Turkey as well as in the world. Therefore, books written in Turkish on Wattpad are essential reference sources for researchers to determine the transformation and development of Turkish and popular literature in the digital environment. The tags are keywords assigned by the author and…
Descriptors: Turkish, Literature, Profiles, Computer Software
Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
Leech, Nancy L.; Onwuegbuzie, Anthony J. – School Psychology Quarterly, 2011
The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are…
Descriptors: Qualitative Research, Research Methodology, School Psychology, Data Analysis
Kleban, James Theodore – ProQuest LLC, 2010
The Internet Age has seen the emergence of richly annotated image data collections numbering in the billions of items. This work makes contributions in three primary areas which aid the management of this data: image representation, efficient retrieval, and annotation based on content and metadata. The contributions are as follows. First,…
Descriptors: Internet, Information Retrieval, Classification, Models
Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
Cheng, Chin Pang; Lau. Gloria T.; Law, Kincho H.; Pan, Jiayi; Jones, Albert – Government Information Quarterly, 2009
Industrial taxonomies have the potential to automate information retrieval, facilitate interoperability and, most importantly, improve decision making - decisions that must comply with existing government regulations and codes of practice. However, it is difficult to find those regulations and codes most relevant to a particular decision, even…
Descriptors: Industry, Classification, Information Retrieval, Computer Software
Sanan, Majed; Rammal, Mahmoud; Zreik, Khaldoun – Interactive Technology and Smart Education, 2008
Purpose: Recently, classification of Arabic documents is a real problem for juridical centers. In this case, some of the Lebanese official journal documents are classified, and the center has to classify new documents based on these documents. This paper aims to study and explain the useful application of supervised learning method on Arabic texts…
Descriptors: Semitic Languages, Classification, Information Retrieval, Periodicals
Schultz, Leah – ProQuest LLC, 2009
This study investigates the relationships between the use of a zoom tool, the terms they supply to describe the image, and the type of image being viewed. Participants were assigned to two groups, one with access to the tool and one without, and were asked to supply terms to describe forty images, divided into four categories: landscape, portrait,…
Descriptors: Control Groups, Indexing, Information Retrieval, Visual Aids

Chang, Yuk Fung; Eastman, Caroline M. – Information Processing and Management, 1993
Describes the design of a classification scheme for reusable software and the implementation of an information retrieval system for reusable software using the SMART system. Highlights include a review of other systems for reusable software; system design; reorganization of software documentation; and system testing, including recall and…
Descriptors: Classification, Computer Software, Computer System Design, Information Retrieval