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Nichols, Kim – Journal of Biological Education, 2018
A variety of practices and specialised representational systems are required to understand, communicate and construct molecular genetics knowledge. This study describes teachers' use of multimodal representations of molecular genetics concepts and how their strategies and choice of resources were interpreted, understood and used by students to…
Descriptors: Molecular Biology, Genetics, Pretests Posttests, Vignettes
Taylor, Daniel; Moore-Russo, Deborah – MathAMATYC Educator, 2012
It is common for both algebra and calculus instructors to use power functions of various degrees as well as exponential functions to examine and compare rates of growth. This can be done on a chalkboard, with a graphing calculator, or with a spreadsheet. Instructors often are careful to connect the symbolic and graphical (and occasionally the…
Descriptors: Calculus, Graphs, Courseware, Technology Uses in Education
Yun, Hongyan; Xu, Jianliang; Xiong, Jing; Wei, Moji – International Journal of Distance Education Technologies, 2011
Ontologies are one of the most popular and widespread means of knowledge representation and reuse. A few research groups have proposed a series of methodologies for developing their own standard ontologies. However, because this ontological construction concerns special fields, there is no standard method to build domain ontology. In this paper,…
Descriptors: Electronic Learning, Knowledge Representation, Marine Biology, Engineering
Aroyo, Lora; Mizoguchi, Riichiro – Journal of Interactive Learning Research, 2004
The ultimate aim of this research is to specify and implement a general authoring framework for content and knowledge engineering for Intelligent Educational Systems (IES). In this context we attempt to develop an authoring tool supporting this framework that is powerful in its functionality, generic in its support of instructional strategies and…
Descriptors: Educational Strategies, Engineering, Programming, Intelligent Tutoring Systems

Major, Nigel – Journal of Artificial Intelligence in Education, 1995
Describes a modelling language for representing teaching strategies, based in the context of the COCA intelligent tutoring system. Examines work on meta-reasoning in knowledge-based systems and describes COCA's architecture, giving details of the language used for representing teaching knowledge. Discusses implications for future work. (AEF)
Descriptors: Computer Assisted Instruction, Computer System Design, Computer Uses in Education, Educational Strategies