Türki̇ye’deki̇ Bi̇r Devlet Üni̇versi̇tesi̇’ndeki̇ Mühendi̇sli̇k Fakültesi̇ Öğrenci̇leri̇ni̇n Sözcük Bi̇lgi̇si̇ İhti̇yaçlarinin Derlem Tabanli Anali̇zi̇
Year: 2023
Type: dissertation
Abstract: Science courses constitute a significant part of engineering faculties’ curriculum. This study is prompted by the need to establish the target needs of freshman engineering students at a state university with a focus on the lexical requirements of the science courses, which is believed to be valuable for curriculum or syllabus design, material development, as well as testing and assessment purposes. This study aims to generate a specialised list of lexical items using corpus frequency data derived from the textbooks used in the science courses. To this end, a corpus is compiled from the textbooks used in physics, chemistry, biology and calculus courses taken by the freshman engineering students, and keyness analysis is conducted on the corpus compiled. The corpus-derived list of keywords specific to science textbooks is then subject to expert opinion with regard to the usefulness of these lexical items for the engineering students. Employing subjective, qualitative data from interviews and questionnaires as well as objective, quantitative corpus data, the study offers a fine-grained, pedagogically convenient, corpus-derived specialised word list, comprising of 1195 lemmas, which is considered to be useful for the engineering students taking science courses at tertiary level.
Author: Çiçek Demirci, Şebnem
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7110650010