L2 learners’ exam papers as crowdsourcing base for language teaching material development



L2 Turkish learners conceptualization of the polite speech act of congratulation in Turkish
Can, Hümeyra; Hatipoğlu, Çiler (null; 2015-07-01)
For quite a while now, it has been recognized that there is a dynamic interplay between cognition and culture, and people view their world through categories, concepts, and labels that are products of their own culture and their perceptual frames of reference (Porter & Samovar 1982). Therefore, members of every community have their own rules and rituals of (im)politeness. This adds to the complexity of intercultural communication urging language learners to develop the cultural awareness necessary to accult...
L2 writing teachers' perceptions of mistakes in student writing and their preferences regarding feedback: the case of a Turkish private university
Dokuzoğlu, Selcen; Enginarlar, Hüsnü; Department of English Language Teaching (2010)
L2 WRITING TEACHERS’ PERCEPTIONS OF MISTAKES IN STUDENT WRITING AND THEIR PREFERENCES REGARDING FEEDBACK: THE CASE OF A TURKISH PRIVATE UNIVERSITY Dokuzoğlu, Selcen M.A. Program of English Language Teaching Supervisor: Prof. Dr. Hüsnü Enginarlar September 2010, 161 pages This study aimed to investigate L2 writing instructors’ perceptions of seriousness of different mistake types in upper-intermediate level students’ essays. It also set out to examine the teachers’ preferences related with feedback provision...
L1 Turkish Transfer in the Acquisition of L2 English Definite Article
Kiper, Sebahat Yağmur (2016-04-22)
LRFMP model for customer segmentation in the grocery retail industry: a case study
Peker, Serhat; Koçyiğit, Altan; Eren, Pekin Erhan (2017-01-01)
Purpose - The purpose of this paper is to propose a new RFM model called length, recency, frequency, monetary and periodicity (LRFMP) for classifying customers in the grocery retail industry; and to identify different customer segments in this industry based on the proposed model.
LFM-Pro: a tool for detecting significant local structural sites in proteins
Sacan, Ahmet; Ozturk, Ozgur; Ferhatosmanoglu, Hakan; Wang, Yusu (Oxford University Press (OUP), 2007-03-15)
Motivation: The rapidly growing protein structure repositories have opened up new opportunities for discovery and analysis of functional and evolutionary relationships among proteins. Detecting conserved structural sites that are unique to a protein family is of great value in identification of functionally important atoms and residues. Currently available methods are computationally expensive and fail to detect biologically significant local features.
Citation Formats
Ç. Hatipoğlu, “L2 learners’ exam papers as crowdsourcing base for language teaching material development,” 2019, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/80746.