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Connor, Megan C.; Finkenstaedt-Quinn, Solaire A.; Shultz, Ginger V. – Chemistry Education Research and Practice, 2019
Promoting students' ability to engage in discipline-specific practices is a central goal of chemistry education. Yet if instruction is to meaningfully foster such ability, we must first understand students' reasoning during these practices. By characterizing constraints on chemistry students' reasoning, we can design instruction that targets this…
Descriptors: Science Instruction, Organic Chemistry, College Science, Logical Thinking
Kryjevskaia, Mila; Stetzer, MacKenzie R.; Grosz, Nathaniel – Physical Review Special Topics - Physics Education Research, 2014
We have applied the heuristic-analytic theory of reasoning to interpret inconsistencies in student reasoning approaches to physics problems. This study was motivated by an emerging body of evidence that suggests that student conceptual and reasoning competence demonstrated on one task often fails to be exhibited on another. Indeed, even after…
Descriptors: Physics, Logical Thinking, Intuition, Heuristics
Belland, Brian R.; Gu, Jiangyue; Armbrust, Sara; Cook, Brant – International Association for Development of the Information Society, 2013
In this conceptual paper, we propose an heuristic to balance context-specific and generic scaffolding, as well as computer-based and teacher scaffolding, during instruction centered on authentic, scientific problems. This paper is novel in that many researchers ask a dichotomous question of whether generic or context-specific scaffolding is best,…
Descriptors: Scaffolding (Teaching Technique), Science Instruction, Inquiry, Active Learning
van Opstal, Mary T.; Daubenmire, Patrick L. – International Journal of Science Education, 2015
Metacognition can be described as an internal conversation that seeks to answer the questions, "how much do I really know about what I am learning" and, "how am I monitoring what I am learning?" Metacognitive regulation skills are critical to meaningful learning because they facilitate the abilities to recognize the times when…
Descriptors: Metacognition, Science Instruction, Qualitative Research, Heuristics
McClary, Lakeisha; Talanquer, Vicente – International Journal of Science Education, 2011
The characterization of students' reasoning strategies is of central importance in the development of instructional strategies that foster meaningful learning. In particular, the identification of shortcut reasoning procedures (heuristics) used by students to reduce cognitive load can help us devise strategies to facilitate the development of more…
Descriptors: Educational Strategies, Heuristics, Organic Chemistry, Science Instruction
Maeyer, Jenine; Talanquer, Vicente – Science Education, 2010
The characterization of students' cognitive biases is of central importance in the development of curriculum and teaching strategies that better support student learning in science. In particular, the identification of shortcut reasoning procedures (heuristics) used by students to reduce cognitive load can help us devise strategies to foster the…
Descriptors: Methods Research, Heuristics, Chemistry, Teaching Methods
Koen, Billy Vaughn – Engineering Education, 1987
Proposes that there is a universal method for all realms of knowledge. Reviews Descartes's definition of the universal method, the engineering definition, and the philosophical basis for the universal method. Contends that the engineering method best represents the universal method. (ML)
Descriptors: Cognitive Structures, College Science, Engineering, Engineering Education

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1988
Discusses programs to provide a knowledge base and use the knowledge in a mode of artificial intelligence. Indicates that two methods of database storage are possible and opts to use a method using many data files while using a small RAM capacity. Lists several programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science

Bodner, George M.; McMillen, Theresa L. B. – Journal of Research in Science Teaching, 1986
Examines the hypothesis that there are preliminary stages in problem solving that are often neglected in teaching chemistry. Discusses correlations calculated between the student's ability to handle disembedding and cognitive restructuring tasks in the spatial domain and ability to solve chemistry problems. (TW)
Descriptors: Algorithms, Chemistry, Cognitive Processes, College Science

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares BASIC and LOGO systems in developing artificial intelligence systems. Provides listings of programs used for translating and sentence making. Describes methodology and compares the BASIC and LOGO programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Uses in Education

de Monchy, Allan R.; And Others – Analytical Chemistry, 1988
Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares a program written both in BASIC and LOGO on its inferential and decision making ability. Explains steps in each program and how deductions and decisions are made. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Software