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Robert Knurek; Heather Lynn Johnson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
We conducted a collective case study investigating two college algebra students' graph reasoning and selection on an online assessment. Students completed the assessment during individual, semi-structured interviews, as part of a broader validation study. The assessment contained six items; students selected Cartesian graphs to represent…
Descriptors: College Mathematics, Mathematics Instruction, Graphs, Mathematical Applications
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Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
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Vachharajani, Vinay; Pareek, Jyoti – International Journal of Distance Education Technologies, 2020
The demand for higher education keeps on increasing. The invention of information technology and e-learning have, to a large extent, solved the problem of shortage of skilled and qualified teachers. But there is no guarantee that this will ensure the high quality of learning. In spite of large number of students, though the delivery of learning…
Descriptors: Higher Education, Educational Technology, Technology Uses in Education, Computer Assisted Testing
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Boote, Stacy K.; Boote, David N.; Williamson, Steven – Cogent Education, 2021
Several decades of research suggesting differences in test performance across paper-based and computer-based assessments have been largely ameliorated through attention to test presentation equivalence, though no studies to date have focused on graph comprehension items. Test items requiring graph comprehension are increasingly common but may be…
Descriptors: Graduate Students, Masters Programs, Business Administration Education, Graphs
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Küchemann, Stefan; Malone, Sarah; Edelsbrunner, Peter; Lichtenberger, Andreas; Stern, Elsbeth; Schumacher, Ralph; Brünken, Roland; Vaterlaus, Andreas; Kuhn, Jochen – Physical Review Physics Education Research, 2021
Representational competence is essential for the acquisition of conceptual understanding in physics. It enables the interpretation of diagrams, graphs, and mathematical equations, and relating these to one another as well as to observations and experimental outcomes. In this study, we present the initial validation of a newly developed…
Descriptors: Physics, Science Instruction, Teaching Methods, Concept Formation
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Ockey, Gary J.; Koyama, Dennis; Setoguchi, Eric; Sun, Angela – Language Testing, 2015
The purpose of this study was to determine the extent to which performance on the TOEFL iBT speaking section is associated with other indicators of Japanese university students' abilities to communicate orally in an academic English environment and to determine which components of oral ability for these tasks are best assessed by TOEFL iBT. To…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Correlation
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Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Cooperation
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Kommers, Piet, Ed.; Issa, Tomayess, Ed.; Issa, Theodora, Ed.; McKay, Elspeth, Ed.; Isias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers and posters of the International Conferences on Internet Technologies & Society (ITS 2016), Educational Technologies (ICEduTech 2016) and Sustainability, Technology and Education (STE 2016), which have been organised by the International Association for Development of the Information Society and…
Descriptors: Conferences (Gatherings), Foreign Countries, Internet, Educational Technology
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection