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
AN ECOLOGICAL APPROACH TO IDENTIFYING MATHEMATICS TEACHERS' RESPONSE TO CURRICULUM CHANGE IN THEIR ACHIEVEMENT TESTS
Date
2021-04-08
Author
Birgili, Bengi
Akar, Hanife
Çakar, Tuna
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
254
views
0
downloads
Cite This
URI
https://www.aera.net/About-AERA/Member-Constituents/Divisions/Division-Descriptions
https://hdl.handle.net/11511/89912
Conference Name
AERA
Collections
Department of Educational Sciences, Conference / Seminar
Suggestions
OpenMETU
Core
An integrated QFD approach to determine quality improvement priorities in manufacturing
Mertoğlu, Benin; Köksal, Gülser; Department of Industrial Engineering (2003)
An engagement and motivation model for online learning technologies
BULUT, İBRAHİM HAKKI; Delialioğlu, Ömer (2022-12-01)
The aim of this study is to construct a technology model, named as Online Learning Technology Engagement Model (OLTEM), to enhance our understanding in the adoption of an online learning technology. The study suggests a model covering the theoretical background of underlying motivational processes for technology engagement of students. The sample of the study are 533 students from 4 public universities in Turkey. The constructed model is validated through confirmatory factor analysis (CFA) and structural eq...
An Explainable Machine Learning Approach to Predicting and Understanding Dropouts in MOOCs
Er, Erkan (2023-01-01)
An integrative model of justice perceptions, employee positive mood states and organizational cizitenship behavior
Çağlar, Ezgi; Acar, Feride Pınar; Department of Business Administration (2011)
In the extant literature, it is possible to find many studies focusing on antecedents of OCB, both cognitive factors and affective factors. However, previous research made limited contribution to the literature, since it did not focus on an integrative model covering both cognitive and affective factors. In this study it was aimed to search an integrative relationship among OCB, cognitive factors and affective factors. Following previous literature, justice perceptions and mood states of employees were take...
An intervention framework for design and development of interactive video lectures based on video viewing behaviors: A learning analytics approach
Yürüm, Ozan Raşit; Yıldırım, İbrahim Soner; Taşkaya Temizel, Tuğba; Department of Information Systems (2021-9-7)
Video-based learning has become very popular together with the increase in the number of massive open online courses (MOOCs). Learners interacting with video naturally exhibit viewing behaviors based on clickstream interactions such as pause, forward, and backward. These are important inputs to predict learning variables and to develop an intervention framework. However, there is no guideline or method on how to use these behavioral patterns in favor of learners. The purpose of this study is to investigate ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Birgili, H. Akar, and T. Çakar, “AN ECOLOGICAL APPROACH TO IDENTIFYING MATHEMATICS TEACHERS’ RESPONSE TO CURRICULUM CHANGE IN THEIR ACHIEVEMENT TESTS,” presented at the AERA, Washington, Amerika Birleşik Devletleri, 2021, Accessed: 00, 2021. [Online]. Available: https://www.aera.net/About-AERA/Member-Constituents/Divisions/Division-Descriptions.