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ERIC Number: EJ1207693
Record Type: Journal
Publication Date: 2019
Pages: 14
Abstractor: As Provided
ISSN: ISSN-0309-877X
A New Approach to High-Order Cognitive Skills in Linguistics: Problem-Solving Inference in Similarity to Computer Science
Shilo, Gila; Ragonis, Noa
Journal of Further and Higher Education, v43 n3 p333-346 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even though the importance of integrating such skills into all disciplines is widely mentioned. The current study aims to compare problem-solving questions used in two seemingly different disciplines: linguistics and computer science. Our premise was that the basis for imparting problem-solving skills is asking problem-solving questions. We analysed problem-solving questions posed in various teaching and learning school scenarios for keywords, and identified nine categories of problem-solving question keywords common to both disciplines. We present those categories and extend our study of two categories to demonstrating the ability to follow the problem-solving process in linguistics is similar to the exact sciences.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Middle Schools; Secondary Education; Junior High Schools; High Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A