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Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
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Baur, Armin – International Journal of Science Education, 2023
Student problems (preconceptions, errors, and learner-specific approaches) that arise when planning and conducting experiments are relevant for lesson planning and the further development of teaching practice overall. student problems are understood as a learning opportunity. So far, little attention has been paid to the relationships between…
Descriptors: Science Education, Science Experiments, Inquiry, Misconceptions
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Schwichow, Martin; Brandenburger, Martina; Wilbers, Jens – International Journal of Science Education, 2022
Designing and interpreting controlled experiments are important inquiry skills addressed in many current science curricula. The relevant skills associated with the design and interpretation of controlled experiments are summarised under the term control-of-variables strategy (CVS). Research on elementary school students' CVS skills shows that they…
Descriptors: Research Design, Inquiry, Elementary School Students, Comparative Analysis
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PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
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Bader, Markus; Meng, Michael – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Most current models of sentence comprehension assume that the human parsing mechanism (HPM) algorithmically computes detailed syntactic representations as basis for extracting sentence meaning. These models share the assumption that the representations computed by the HPM accurately reflect the linguistic input. This assumption has been challenged…
Descriptors: Sentences, Misconceptions, Comprehension, Models
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Fandakova, Yana; Shing, Yee Lee; Lindenberger, Ulman – Developmental Psychology, 2013
Based on a 2-component framework of episodic memory development across the lifespan (Shing & Lindenberger, 2011), we examined the contribution of memory-related binding and monitoring processes to false memory susceptibility in childhood and old age. We administered a repeated continuous recognition task to children (N = 20, 10-12 years),…
Descriptors: Memory, Recall (Psychology), Concept Formation, Cognitive Processes
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Gartmeier, Martin; Gruber, Hans; Heid, Helmut – Educational Gerontology, 2010
This paper empirically investigates elder care nurses' negative knowledge. This form of experiential knowledge is defined as the outcome of error-related learning processes, focused on how something is not, on what not to do in certain situations or on deficits in one's knowledge or skills. Besides this definition, we presume the existence of…
Descriptors: Nurses, Nursing Homes, Learning Processes, Content Analysis
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Conradty, Catherine; Bogner, Franz X. – Educational Studies, 2010
Concept mapping is discussed as a means to promote meaningful learning and in particular progress in reading comprehension skills. Its increasing implementation necessitates the acquisition of adequate knowledge about frequent errors in order to make available an effective introduction to the new learning method. To analyse causes of errors, 283…
Descriptors: Concept Mapping, Reading Comprehension, Grade 6, Misconceptions
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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