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Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models
Norouzian, Reza; de Miranda, Michael; Plonsky, Luke – Language Learning, 2018
Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the…
Descriptors: Second Language Learning, Language Research, Bayesian Statistics, Comparative Analysis
Piotrowski, Chris – Journal of Educators Online, 2013
While online instructors may be versed in conducting e-Research (Hung, 2012; Thelwall, 2009), today's faculty are probably less familiarized with the rapidly advancing fields of bibliometrics and informetrics. One key feature of research in these areas is Citation Analysis, a rather intricate operational feature available in modern indexes…
Descriptors: Citation Analysis, Literature Reviews, Bibliometrics, Electronic Journals
Toledo, Amalia; Botero, Carolina; Guzmán, Luisa – Open Praxis, 2014
In this paper, the authors identify and analyze public policy and the investment and expenditure that the governments of Argentina, Chile, Colombia, Paraguay and Uruguay commit to make in the development and procurement of textbooks, books and digital content for primary and secondary education (K-12). The aim is to identify and propose a roadmap…
Descriptors: Foreign Countries, Expenditures, Educational Resources, Open Source Technology
van Rooij, Shahron Williams – Computers & Education, 2011
Successful adoption of new teaching and learning technologies in higher education requires the consensus of two sub-cultures, namely the technologist sub-culture and the academic sub-culture. This paper examines trends in adoption of open source software (OSS) for teaching and learning by comparing the results of a 2009 survey of 285 Chief…
Descriptors: Higher Education, Educational Technology, Deans, Open Source Technology
Verbert, Katrien; Manouselis, Nikos; Drachsler, Hendrik; Duval, Erik – Educational Technology & Society, 2012
In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…
Descriptors: Foreign Countries, Computer Uses in Education, Information Technology, Open Source Technology
Huynh, Minh Q.; Chu, Hung W. – Journal of Information Technology Education, 2011
The field of supply chain management has changed greatly and rapidly. With the advent of enterprise systems, supply chains are now operating with up-to-the-minute information. The value of the information flow is marked by speed, accessibility, accuracy, and most of all relevancy. As it continually evolves, the supply chain management curriculum…
Descriptors: Organizational Objectives, Information Transfer, Educational Technology, Knowledge Management
Burrows, Steven; Shortis, Mark – Australasian Journal of Educational Technology, 2011
Online marking and feedback systems are critical for providing timely and accurate feedback to students and maintaining the integrity of results in large class teaching. Previous investigations have involved much in-house development and more consideration is needed for deploying or customising off the shelf solutions. Furthermore, keeping up to…
Descriptors: Foreign Countries, Integrated Learning Systems, Feedback (Response), Evaluation Criteria