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Liles, Lee-Ann A. – Voices in Education, 2019
This article explores the increase in plagiarism commensurate with the accessibility of academic sources via technology in the 21st century. The author addresses the responsibility of higher education in implementing academic integrity policies and programmes to create cohesive and informative practices.
Descriptors: Plagiarism, Higher Education, Internet, Information Sources
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Kerwin, Sean M. – Biochemistry and Molecular Biology Education, 2019
A flexible and modular peptide modeling set was designed using freely available software tools. The set consists of space-filling models of all 20 naturally occurring amino acid side chains and a modular kit for constructing peptides employing C-alpha carbons and amide bond groups. Connectors that allow free rotation about phi and psi angles on…
Descriptors: Computer Software, Teaching Methods, Science Instruction, Computer Peripherals
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Price, Thomas W.; Dong, Yihuan; Zhi, Rui; Paaßen, Benjamin; Lytle, Nicholas; Cateté, Veronica; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2019
In the domain of programming, a growing number of algorithms automatically generate data-driven, next-step hints that suggest how students should edit their code to resolve errors and make progress. While these hints have the potential to improve learning if done well, few evaluations have directly assessed or compared the quality of different…
Descriptors: Comparative Analysis, Programming Languages, Data Analysis, Evaluation Methods
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Garikano, Xabier; Garmendia, Mikel; Manso, Angel P.; Solaberrieta, Eneko – International Journal of Technology and Design Education, 2019
Strategic knowledge is a differentiating factor for conveying the design intent when modelling parts in parametric feature-based CAD systems. Nevertheless, it is rarely considered in training or, when it is tackled, it takes a traditional pedagogical approach that is far from ideal for acquiring knowledge with highly cognitive requirements. This…
Descriptors: Design, Teaching Methods, Active Learning, Educational Principles
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Kim, Hanjoe – New Directions for Child and Adolescent Development, 2019
Propensity score analysis is a statistical method that balances pre-existing differences across treatment conditions achieving a similar condition as randomization and thus, allowing the estimation of causal effects in non-randomized experimental designs. The four stages in propensity score analysis are (1) propensity score estimation, (2)…
Descriptors: Probability, Scores, Research Design, Statistical Analysis
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Ali, Shahid I.; Fitzpatrick, Brian D. – Journal of Education for Business, 2019
The authors' objective was to uncover the difference in competency when teaching Excel to undergraduate students on two distinct and discrete operating platforms. The authors calibrated competency by comparing scores of MOS-EXCEL Certification Test results. The authors conclude that the null hypothesis indicating no difference in mean scores of…
Descriptors: Undergraduate Students, Spreadsheets, Teaching Methods, Competence
Yue, Changjun; Xu, Xiaowen – ECNU Review of Education, 2019
Purpose: This article reviews the development of quantitative methods in educational research in China since 1978. Design/Approach/Methods: For this summary and literature review, we used data from the China National Knowledge Infrastructure (CNKI), relevant books, and research output from the Graduate School of Education, Peking University.…
Descriptors: Educational Research, Educational History, Statistical Analysis, Technological Advancement
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Vágová, Renáta; Kmetová, Mária – Acta Didactica Napocensia, 2019
Visualisation is a necessary ability for students' mathematical education. The appearance of multiple Dynamic Geometry Software (DGS) has a stronger impact each day, and it raises many questions in the minds of researchers. In this paper, we present the findings of our exploratory case study in which a student preferring visual problem solving…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Computer Software
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Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Journal of Educational Measurement, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
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Iatrellis, Omiros; Kameas, Achilles; Fitsilis, Panos – Education and Information Technologies, 2019
One of the main challenges to be confronted by Higher Educational Institutions (HEI), so as to increase quality, is the provision of personalized education services in a wide range of educational settings, often beyond the course sequences historically offered to students. However, this personalization requires the continuous reconfiguration and…
Descriptors: Technology Integration, Higher Education, Information Technology, Computer Interfaces
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Ragazzini, Gregorio; Mescola, Andrea; Corsi, Lorenzo; Alessandrini, Andrea – Journal of Biological Education, 2019
In recent years the possibility of observing by microscopy the dynamic activity of living cells has been largely pursued. We have developed a low-cost (~ 260 euros) on-stage cell incubator for inverted optical microscopes. This device allows to keep cells in good conditions for their survival and proliferation. The device is based on the use of…
Descriptors: Cytology, Science Instruction, Laboratory Equipment, Measurement
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Atkin, Keith – Physics Education, 2019
This paper shows how a freely downloadable and powerful software package, "SMath Studio," can be used to model physical systems in physics teaching. The software can form the basis of lecture demonstrations by teachers or can be used individually by students working in an educational environment or on their own home computers.
Descriptors: Physics, Science Instruction, Problem Solving, Scientific Concepts
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Erdem-Kara, Basak – International Journal of Assessment Tools in Education, 2019
Computer adaptive testing is an important research field in educational measurement, and simulation studies play a critically important role in CAT development and evaluation. Both Monte Carlo and Post Hoc simulations are frequently used in CAT studies in order to investigate the effects of different factors on test efficiency and to compare…
Descriptors: Computer Assisted Testing, Adaptive Testing, Programming Languages, Monte Carlo Methods
Mills, Geoffrey E.; Gay, L. R. – Pearson, 2019
A comprehensive, accessible introduction to educational research "Educational Research: Competencies for Analysis and Applications" uses engaging, straightforward language to introduce students to the information and skills required to successfully conduct research and to competently evaluate research. Long known for their clear and at…
Descriptors: Educational Research, Competence, Research Skills, Ethics
Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Grantee Submission, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
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