Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Data driven learning and the use of interactive metadiscourse markers: Argumentative paragraphs of freshmen pre-service English language teachers
Date
2021-06-28
Author
ÇİÇEK TÜMER, CEMRE
Hatipoğlu, Çiler
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
97
views
0
downloads
Cite This
URI
https://yabdilsem.gazi.edu.tr/view/getmainannouncementpage/268540?type=1/the-1st-international-symposium-on-foreign-language-teaching
https://hdl.handle.net/11511/99181
Conference Name
The 1st International Symposium on Foreign Language Teaching (YABDILSEM)
Collections
Department of Foreign Language Education, Conference / Seminar
Suggestions
OpenMETU
Core
DATA DRIVEN LEARNING AND THE USE OF INTERACTIVE METADISCOURSE MARKERS (TRANSITIONS, FRAME MARKERS AND CODE-GLOSSES) IN ARGUMENTATIVE PARAGRAPHS WRITTEN BY FRESHMEN PRE-SERVICE ENGLISH LANGUAGE TEACHERS
Çiçek Tümer, Cemre; Hatipoğlu, Çiler; Department of English Language Teaching (2021-7-26)
This study attempts (1) to determine the types, frequencies and functions of interactive metadiscourse devices i.e. transitions, frame markers and code glosses employed by freshmen pre-service English language teachers of Turkish L1 background in their English argumentative paragraphs, (2) to find out the needs of freshmen pre-service English language teachers in the use of interactive metadiscourse markers (3) to unveil the reasons behind their employment and avoidance of particular markers and (4) to inve...
Data-driven modeling using deep neural networks for power systems demand and locational marginal price forecasting
Jimu, Honest; Fahrioğlu, Murat; Electrical and Electronics Engineering (2022-9)
Forecasting electricity demand and locational marginal prices (LMPs) have become critical components for power system security and management. Electricity Demand Forecasting (EDF) aids the utility in maximizing the use of power-generation plants and scheduling them for both reliability and cost-effectiveness. In this thesis, a novel Deep Neural Network Long Short-Term Memory (DNN-LSTM) forecasting model is suggested to improve accuracy and robustness for predicting hourly day ahead power system load and LMP...
Data quality assessment in credit risk management by customized total data quality management approach
Güneş, Muhammed İlyas; Çetin, Yasemin; Bilgen, Semih; Department of Information Systems (2016)
As the size and complexity of financial institutions, more specifically banks, grow, the amount of data that information systems (IS) of such institutions need to handle also increases. This leads to the emergence of a variety of data quality (DQ) problems. Due to the possible economic losses due to such DQ issues, banks need to assure quality of their data via data quality assessment (DQA) techniques. As DQ related problems diversify and get complicated, the requirement for contemporary data quality assess...
Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis
Mitik, Merve; Korkmaz, Ozan; Karagöz, Pınar; Toroslu, İsmail Hakkı; Yucel, Ferhat (2017-06-01)
Nowadays, many businesses, such as banks, use direct marketing methods to reach customers to minimize the campaigning cost and maximize the return rate. To achieve this, huge customer data should be analyzed to determine the most appropriate product offer for each customer and the most effective channel to reach her/him. However, since only a very small amount of responses collected from the customers are positive to the offers, the dataset is very imbalanced. This decreases sensitivity ratio of prediction ...
Data mining approach for direct marketing of banking products with profit/cost analysis
Korkmaz, Ozan; Toroslu, İsmail Hakkı; Karagöz, Pınar; Department of Computer Engineering (2017)
Nowadays, direct marketing is widely used advertisement method by many business areas such as banks. The main purposes of direct marketing are to maximize return on investment, minimize cost of promotions and reach to peak number of customers that prefer the offerred campaign. Therefore, it is necessary to collect and process huge amount of customer related data to decide questions of which customer will be offered a product, which product will be suitable to him/her and via which channel the promotion will...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. ÇİÇEK TÜMER and Ç. Hatipoğlu, “Data driven learning and the use of interactive metadiscourse markers: Argumentative paragraphs of freshmen pre-service English language teachers,” presented at the The 1st International Symposium on Foreign Language Teaching (YABDILSEM), Ankara, Türkiye, 2021, Accessed: 00, 2022. [Online]. Available: https://yabdilsem.gazi.edu.tr/view/getmainannouncementpage/268540?type=1/the-1st-international-symposium-on-foreign-language-teaching.