A new approach to high-order cognitive skills in linguistics: problem-solving inference in similarity to computer science. Issue 3 (16th March 2019)

• Record Type: Journal Article
• Authors: Shilo, Gila; Ragonis, Noa
• Is Part Of: Journal of further and higher education. Volume 43:Issue 3(2019)
• Page Start: 333
• Page End: 346
• Publication Date: 2019-03-16
• Subjects: Linguistics education -- computer science education -- high-order cognitive skills -- problem-solving questions -- correlation between disciplines; Education, Higher -- Great Britain -- Periodicals; Education -- Periodicals; 374.941
• DOI: 10.1080/0309877X.2017.1361515
• Languages: English
• ISSNs: 0309-877X

Abstract

Abstract: 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.