Developing an evaluation model for multimedia learning materials by using eye-tracking

Altan, Tuğba
Çağıltay, Kürşat


Developing a feature-based edge detector using artificial networks
Arpat, Güven Burç; Tekman, Gürkan; Halıcı, Uğur; Department of Cognitive Sciences (2001)
Developing a four-bar mechanism synthesis program in cad environment
Erener, Kaan; Söylemez, Eres; Department of Mechanical Engineering (2011)
Flap, aileron, rudder, elevator, speed brake, stick, landing gear and similar movable systems used in aerospace industry have to operate according to the defined requirements and mechanisms used in those systems have to be synthesized in order to fulfill those requirements. Generally, without the use of synthesis tools, synthesis of mechanisms are done in CAD environment by trial-error and geometrical methods due to the complexity of analytical procedures. However, this approach is time consuming since it h...
Developing a methodology for the design of water distribution networks using genetic algorithm
Gençoğlu, Gençer; Merzi, Nuri; Department of Civil Engineering (2007)
The realization of planning, design, construction, operation and maintenance of water supply systems pictures one of the largest infrastructure projects of municipalities; water distribution networks should be designed very meticulously. Genetic algorithm is an optimization method that is based on natural evolution and is used for the optimization of water distribution networks. Genetic algorithm is comprised of operators and the operators affect the performance of the algorithm. Although these operators ar...
Developing a versatile artifical neural network model for estimating reservoir permeability in three
Arpat, Güven Burç; Gümrah, Fevzi; Department of Petroleum and Natural Gas Engineering (2000)
Developing recommendation techniques for location based social networks using random walk
Bağcı, Hakan; Karagöz, Pınar; Department of Computer Engineering (2015)
The location-based social networks (LBSN) enable users to check-in their current location and share it with other users. The accumulated check-in data can be employed for the benefit of users by providing personalized recommendations. In this thesis, we propose three recommendation algorithms for location-based social networks. These are random walk based context-aware location (CLoRW), activity (RWCAR) and friend (RWCFR) recommendation algorithms. All the algorithms consider the current context (i.e. curre...
Citation Formats
T. Altan and K. Çağıltay, “Developing an evaluation model for multimedia learning materials by using eye-tracking,” presented at the European Conference on Educational Research (ECER) 2018, (4 - 07 Eylül 2018), Bolzano, İtalya, 2018, Accessed: 00, 2021. [Online]. Available: