Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…

Traditional knowledge-component models describe students' content knowledge (e.g., their ability to carry out problem-solving procedures or their ability to reason about a concept). In many STEM domains, instruction uses multiple visual representations such as graphs, figures, and diagrams. The use of visual representations implies a…

Abstract electronics concepts are difficult to develop because the phenomena of interest cannot be readily observed. Visualisation skills support learning about electronics and can be applied at different levels of representation and understanding (observable, symbolic and abstract). Providing learners with opportunities to make transitions…

Rachlin (2012) makes two general assertions: (a) "To be human is to behave as humans behave, and to function in society as humans function," and (b) "essential human attributes such as consciousness, the ability to love, to feel pain, to sense, to perceive, and to imagine may all be possessed by a computer'. Although Rachlin's article is an…

Pedagogic approaches to TVET offer a limited range of teaching strategies which make use of experimental learning. Thus experiments were developed for teachers of structural engineering and timber processing technologies and were subject to empirical evaluation by a researcher at the Otto-von-Guericke-University Magdeburg and Kassel University.…

Mental models are basic cognitive constructs that are central for understanding phenomena of the world and predicting future events. Our comparison of two analysis approaches, SMD and QFCA, for measuring externalized mental models reveals different levels of abstraction and different perspectives. The advantages of the SMD include possibilities…

An important element of adaptive expertise involves stepping away from a routine to retool one's knowledge or environment. The current study investigated two forms of this adaptive pattern: fault-driven adaptations, which are reactions to a difficulty, and prospective adaptations, which are proactive reformulations. Graduate and undergraduate…

We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…

The theory of "ba" or "space" offers a prescription for fostering the conversion of particular kinds of knowledge (tacit-to-explicit, tacit-to-tacit, etc.). Three corporate groups were observed as they collaborated to develop instructional, Web-based stories intended to capture their tacit organizational understandings. A…

Compares the indexing structure of icons with principles used for traditional indexing. A sample of 15 library homepages was drawn from the total population of the United States library homepages. Semiotics theory was used to study the icons. Analysis and results are outlined. (AEF)

Compares the knowledge content of GTE (Generic Tutoring Environment), a generic instructional knowledge base that facilitates dynamic pedagogical decision making, and PEPE, a computational framework for representing pedagogical knowledge to tailor instruction to an individual student. The courseware's interaction with the student and instructional…

Compares dyads of secondary school physics students working on a collaborative modeling task using a text-based model representation, in which correct equations are required to make the model run, with others using a graphical representation, in which the model is build by qualitatively linking variables. (MES)

This paper reports an empirical study comparing the role of discourse and knowledge representations (graphical evidence mapping) in face-to-face versus synchronous online collaborative learning. Prior work in face-to-face collaborative learning situations has shown that the features of representational notations can influence the focus of…

A concept map is a graph in which the nodes represent concepts, the lines between the nodes represent relations, and the labels on the lines represent the nature of the relations. Concept maps have been used to assess students' knowledge structures, especially in science education. Two concept mapping techniques, constructing a map and filling in…

An alternative method of measuring the knowledge of students is to use mental models, and specifically concept maps. Concept maps provide a visual representation of conceptual and relationship knowledge within a particular domain. This study builds on previous studies and attempts to reduce their methodological weaknesses. Students in several…