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
The use of video clickstream data to predict university students’ test performance: A comprehensive educational data mining approach
Date
2022-10-01
Author
Yıldırım, İbrahim Soner
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
205
views
0
downloads
Cite This
URI
https://link.springer.com/article/10.1007/s10639-022-11403-y
https://hdl.handle.net/11511/100774
Journal
EDUCATION AND INFORMATION TECHNOLOGIES
DOI
https://doi.org/10.1007/s10639-022-11403-y
Collections
Department of Computer Education and Instructional Technology, Article
Suggestions
OpenMETU
Core
The Use of Nonlinear Analysis Tools for the Structural Design of Concrete Dams
Soysal, Berat Feyza; Arıcı, Yalın (null; 2015-06-20)
The Use of Nonlinear Analyses Tools for the Structural Design of Concrete Dams
Soysal, Berat Feyza; Arıcı, Yalın (2015-06-20)
Given the need to evaluate the older infrastructure for higher design hazards in order to ascertain the performance in multiple sigma events, the use of nonlinear tools for the prediction of the performance of concrete structures is becoming increasingly popular. Smeared crack models are the primary tools to simulate the performance of dams due to such properties as mesh independence and robust behavior, as well as being dependent on only a few parameters discernible by common laboratory tests. In contrast ...
The use of episodic and semantic memory systems in classroom context regarding time delay and college experience level
Elibol-Pekaslan, Nur; Şahin Acar, Başak (Wiley, 2018-11-01)
This study aimed to examine freshmen and senior college students' episodic and semantic memory use in classroom context regarding short and long time delays and college experience level. Data were collected in 2014 and 2017, right after students' final exams (T1) and 5 weeks later (T2). Students were given exemplar questions from their final exams and asked whether they remembered a specific learning episode (episodic memory), if they knew the information (semantic memory), or they guessed the answer while ...
Saat Çizme Testinin Çocuk ve Ergenler için Gelişimsel ve Klinik Gösterge Olarak Kullanımı
Erden, Gülsen; Uluç, Sait (ODTÜ- AYNA Klinik Psikoloji Destek Ünitesi, 2022-2)
Saat çizme testi [SÇT], yürütücü işlevleri, motor planlama becerisini ve görsel uzamsal becerileri inceleyen nöropsikolojik bir değerlendirme aracıdır. Görgül çalışmalar, SÇT'nin genel bilişsel işlev düzeyini iyi yordayan geçerli ve güvenilir bir araç olduğunu göstermektedir. Ek olarak, klinik çalışmalar SÇT'nin bilişsel becerilerdeki bozulmanın iyi bir göstergesi olduğuna işaret etmiştir. SÇT, yetişkinlerin ve yaşlıların bilişsel yeteneklerini değerlendirmek için en yaygın kullanılan tarama araçlarından bi...
The Usage of Two Level Random Intercept Model Specifications in the Analysis of Achievement in Mathematics
Gökalp Yavuz, Fulya (2013-12-01)
Hierarchical models are highly useful tools for clustered and multilevel type of data and coefficients can vary by clusters in these models. In this study, several types of two-level random intercept model specifications are used to compare the mathematics scores of 8th grade students from three different safe and orderly levels of schools, after taking into account of variation both between classes and between students within the same class. The data obtained from Trends in International Mathematics and Sc...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. S. Yıldırım, “The use of video clickstream data to predict university students’ test performance: A comprehensive educational data mining approach,”
EDUCATION AND INFORMATION TECHNOLOGIES
, vol. 1, pp. 1–15, 2022, Accessed: 00, 2022. [Online]. Available: https://link.springer.com/article/10.1007/s10639-022-11403-y.