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Ngu, Bing Hiong; Low, Renae; Sweller, John – Instructional Science, 2002
Describes experiments with Australian high school students that investigated differences in performance on chemistry word problems between two learning strategies: text editing, and conventional problem solving. Concluded that text editing had no advantage over problem solving in stoichiometry problems, and that the suitability of a text editing…
Descriptors: Chemistry, Foreign Countries, Learning Strategies, Problem Solving

Lieberman, Henry – Instructional Science, 1986
Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…
Descriptors: Artificial Intelligence, Decision Making, Educational Environment, Feedback

Klauer, Karl Josef – Instructional Science, 1989
Discusses paradigmatic teaching, or teaching for analogical transfer, which requires teaching a basic structure by appropriate examples, as well as teaching its application in various fields and contexts. Examples for problem solving, inductive thinking, and learning to learn are given, and a training program with adult learners is described. (15…
Descriptors: Adult Learning, Adult Students, Generalization, Induction

Mayer, Richard E. – Instructional Science, 1998
Examines the role of cognitive, metacognitive, and motivational skills in problem solving. Cognitive skills include instructional objectives, components in a learning hierarchy, and information-processing components. Metacognitive skills include strategies for reading comprehension, writing, and mathematics. Motivational skills include motivation…
Descriptors: Cognitive Processes, Learning Motivation, Learning Strategies, Metacognition

Peat, D.; And Others – Instructional Science, 1989
Describes an instructional model, Strategies Program for Effective Learning/Thinking (SPELT), that was developed to translate cognitive psychological theory and research into a practical instructional program. The extent to which SPELT conforms to current instructional design principles is examined, and macro versus micro instructional sequencing…
Descriptors: Cognitive Psychology, Elementary Secondary Education, Instructional Design, Learning Processes

Van Merrienboer, Jeroen J. G.; Krammer, Hein P. M. – Instructional Science, 1987
Compares the expert, spiral, and reading approaches to instructional strategies for introductory computer programming courses. Based on ACT (Adaptive Control of Thought) theory and relevant research, the differences between declarative and procedural instruction are identified, and six tactics used to design courses and evaluate strategies are…
Descriptors: Cognitive Psychology, Comparative Analysis, Computer Literacy, High Schools

Gourgey, Annette F. – Instructional Science, 1998
Describes self-regulatory processes that promote achievement in the basic skills of reading (clarifying purpose, understanding meanings, drawing inferences, looking for relationships, reformulating text) and mathematical problem solving (clarifying problem goals, understanding concepts, applying knowledge, monitoring progress). Experiences in…
Descriptors: Academic Achievement, Basic Skills, Higher Education, Learning Processes

Willems, J. – Instructional Science, 1981
Discusses the structure of a problem-based curriculum based on the complexity of the problems that the students must solve, taking into account the level they must attain and their previous experience with problem-based teaching. This approach is compared with the conventional teaching methods. Twenty-two references are listed. (CHC)
Descriptors: Algorithms, Cognitive Processes, Conventional Instruction, Educational Strategies

Meijer, Joost; Riemersma, Fre – Instructional Science, 1986
Presents thinking-aloud protocols from secondary pupils solving arithmetic story and geometrical problems and analyzes their protocols by using interpretation models founded on a general problem-solving model. A word problem solving simulation is also used to further explicate processes pupils use to solve mathematical tasks. (Author/MBR)
Descriptors: Algorithms, Computer Simulation, Educational Theories, Foreign Countries