Educational Ontology and Cognition Laboratory

About

Research Infrastructure

•    iMotions- Affectiva Analiz
It is a biometric research platform that combines eye tracking metrics, facial expression, galvanic skin response and EEG data, enabling simultaneous viewing and analysis of data. With iMotions Affectiva software, it can identify seven different emotions using facial expressions, physiological signals (EEG, GSR), eye, eyebrow and mouth movements. In addition, values related to attention, engagement and valence are also produced by this platform.
https://imotions.com/
https://imotions.com/affectiva/
•    Enobio EEG
Enobio is a wearable, wireless electrophysiology sensor system. It allows configuration, recording and visualization of 24-bit EEG data at 500 S/s. Event-related potential can be measured using Enobio.
https://www.neuroelectrics.com/products/enobio/  
•    Shimmer GSR
The Shimmer GSR is a wireless Galvanic skin response device that measures the change in heat and electricity passing through the skin with sweat and nerves, providing real-time biofeedback.
//www.shimmersensing.com/products/shimmer3-wireless-gsr-sensor
•    Tobii Eye Tracker
It includes software and hardware that allows to detect and analyze eye movements.
•    Gazepoint Mobil Eye Tracker
It includes software and mobile hardware that allows to detect and analyze eye movements.
•    Oculus Lift S VR ve Unity
It includes the software infrastructure required for the preparation of Virtual Reality environments and a set of glasses used for displaying virtual reality applications for educational purposes.

Researchers

•    Prof. Dr. Arif Altun
•    Prof. Dr. Petek Aşkar
•    Prof. Dr. Banu Cangöz
•    Doç. Dr. Gökhan Akçapınar
•    Doç. Dr. Hale Ilgaz
•    Dr. S. Güzin Mazman
•    Dr. Alper Beyazıt
•    Dr. Filiz Mumcu
•    Dr. Mehmet Kokoç
•    Dr. Arif Akçay
•    Şeyma Çağlar-Özhan
•    Adem Özgür
•    Perihan Tekeli

Ongoing Projects

•    Bilgisayar Destekli Duygusal Öneri Sisteminin Öğretmen Adaylarının Bilişsel-Duygusal Gelişimleri Üzerine Etkilerinin Araştırılması,
Proje Türü: -Uluslararası Katip Çelebi-Knewton
Başlangıç - Bitiş Tarihi: 01.07.2020 /
•    Yükseköğretimde Pandemi Dönemi Uzaktan Öğretim Uygulamalarının İncelenmesi ve Deneyimler Üzerinden Açık ve Uzaktan Öğrenme Politikası Önerilerinin Oluşturulması
Proje Türü: -Tübitak 1001
Başlangıç - Bitiş Tarihi: 01.07.2020 /
•    Öğrenme Yönetim Sisteminde Öğrenen Profillerinin Belirlenmesi, Akademik Başarının Tahmin Edilmesi ve Öneri Sisteminin Etkilerinin Belirlenmesi
Proje Türü: -Tübitak 1001 (Yürütücü: A. Kumtepe, Anadolu Ünv)
Başlangıç - Bitiş Tarihi: 15.12.2018 /

Completed Projects

•    E-Öğrenme Ortamlarında Ders Videoları Türü ve Öğrenenlerin Dikkat Düzeylerinin Öğrenme Performansı Temelinde Modellenmesi
Proje Türü: -Tübitak 3001 (Yürütücü: M. Kokoç, Trabzon Ünv.)
Başlangıç - Bitiş Tarihi: 15.12.2018 / 15.12.2020

Publications

•    Cimtay, Y., Ekmekcioglu, E., & Caglar-Ozhan, S., (2020). Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion. IEEE Access, 8, 168865-168878, doi:10.1109/ACCESS.2020.3023871.
•    Çağlar-Özhan, Ş. & Altun, A., (2020). The Cognitive-Emotional Processes and Their Implications for Teacher Education Research. Journal of Psychological and Educational Research, 28(2), 55-74.
•    Özgür, A., Altun, A., & Mazman-Akar, S. G. (2020). Çokluortam öğrenme materyaline bağlanma ölçeği: Geliştirme, geçerlik ve güvenirlik çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 10(2), 321-344. https://doi.org/10.17943/etku.625811
•    Kokoç, M., IIgaz, H., & Altun, A. (2020). Effects of sustained attention and video lecture types on learning performances. Educational Technology Research and Development, 1-25. https://doi.org/10.1007/s11423-020-09829-7
•    Akçapınar, G., & Kokoç, M. (2020). Analyzing the relationship between student's assignment submission behaviors and course achievement through process mining analysis. Turkish Journal of Computer and Mathematics Education, 11(2), 386-401. https://doi.org/10.16949/turkbilmat.711683
•    Ilgaz, H., Natividad, G., & Altun, A. (2020). Literature reviews and systematic reviews of research: The roles and importance. In M. J. Spector, B. B. Lockee & M.D. Childress (Eds.), Learning, Design, and Technology (pp. 1-3). Springer, Cham. https://doi.org/10.1007/978-3-319-17727-4_141-1
•    Kokoç, M., Ilgaz, H., & Altun, A. (2020). Individual Cognitive Differences and Student Engagement in Video Lectures and E-Learning Environments. In Alqurashi, E. (Ed.), Handbook of Research on Fostering Student Engagement with Instructional Technology in Higher Education (pp. 78-93). IGI Global. //doi:10.4018/978-1-7998-0119-1.ch005
•    Ilgaz, H., & Kokoç, M. (2020). E-öğrenmede etkili video ders tasarımları. In M. Kokoç, & H. Ilgaz (Ed.), E-Öğrenmede Videolar: Uygulamalar ve Güncel Eğilimler (pp. 1-15). Ankara: Pegem Academy.
•    Akçay, A., & Altun, A. (2019). Farklı kısa süreli bellek uzamlarına sahip öğrencilerin farklı dikkat tasarımına sahip öğrenme ortamlarındaki göz hareketlerinin incelenmesi. Eğitim Teknolojisi: Kuram ve Uygulama, 9(2), 588-614. https://doi.org/10.17943/etku.568192
•    Kokoç, M., & Altun, A. (2019). Effects of learner interaction with learning dashboards on academic performance in an e-learning environment. Behaviour & Information Technology, 1-15. https://doi.org/10.1080/0144929X.2019.1680731
•    Altun, A., & Kokoç, M. (2019). Following the learners' traces: Profiling learners and visualizing the learning process for building better learning experiences. In M. S. Khine (Ed.), Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (pp. 100-121). Leiden, the Netherlands: Brill | Sense. doi: https://doi.org/10.1163/9789004399273_007
•    Çağlar-Özhan, Ş., & Altun, A., (2019). Eğitim Teknolojisi Araştırmalarında Duygular: Bir İçerik Analizi. 7. Uluslararası Öğretim Teknolojileri ve Öğretmen Eğitimi Sempozyumu Programı (ITTES), 30 Ekim-1 Kasım, Antalya.
•    Akçay, A., & Altun, A. (2019). The study of debugging performance test development. 4th International Turkish Computer & Mathematics Education Symposium, İzmir, Turkey.
•    Çinici, M.A. & Altun, A. (2018). Reusable content matters: a learning object authoring tool for smart learning environments. Smart Learning Environments, 5(10), pp. 1-17. Ulaşmak için tıklayınız.
•    Kaya, G. & Altun, A. (2018). Utilizing a Smart Cognitive Support System for K-8 Education. Smart Learning Environments, 5(17), pp. 1-23.
•    Altun A., Kasalak İ. (2018). Blok Temelli Programlamaya İlişkin  Öz-Yeterlik Algısı Ölçeği Geliştirme Çalışması: Scratch Örneği. Eğitim Teknolojisi Kuram ve Uygulama, 8(1), 209-225. DOI: 10.17943/etku.335916
•    Kokoç, M., & Altun, A. (2018). Building a learning experience: What do learners' online interaction data imply? In D. G. Sampson, D. Ifenthaler, J. M. Spector, P. Isaias, & S. Sergis (Eds.), Learning technologies for transforming teaching, learning and assessment at large scale . New York, NY: Springer.
•    Akçay, A., & Altun, A. (2018). Yüksek düzey kısa süreli bellek uzamlarına sahip öğrencilerin farklı dikkat tasarımlarındaki göz hareketlerinin incelenmesi. 6th International Instructional Technologies & Teacher Education Symposium (ITTES), Edirne, Turkey.
•    Özgür, A. & Altun, A. (2018). Çoklu-ortam Tabanlı İçeriklerde Kullanılan Duyuşsal Tasarım Özelliklerinin İncelenmesi. 12th International Computer & Instructional Technologies Symposium (ICITS) (Uluslararası Bilgisayar ve Öğretim Teknolojileri Eğitimi Sempozyumu), İzmir, Türkiye.
•    Kokoç, M., Ilgaz, H., & Altun, A. (2018, October). Understanding how video interaction data predicts academic performance: A preliminary study. Paper presented at the 2018 AECT (The Association for Educational Communications and Technology) International Convention, Kansas City, MO, USA
•    Kokoç, M., Ilgaz, H., & Altun, A. (2018, October). Understanding how video interaction data predicts academic performance: A preliminary study. Paper presented at the 2018 AECT (The Association for Educational Communications and Technology) International Convention, Kansas City, MO, USA
•    Mazman Akar, S. G. & Altun, A. (2017). Individual Differences in Learning Computer Programming:  A Social Cognitive Approach. Contemporary Educational Technology,8(3). 195-213.  
•    Mazman-Akar, S.G. ve Altun, A. (2017). E-Öğrenme Ortamlarında Algılanan Karmaşık Görev Performans Ölçeği. 5. Uluslararası Öğretim Teknolojileri ve Öğretmen Eğitimi Sempozyumu. 11-13 Ekim 2017, İzmir.
•    Olkun, S.,  Altun, A., Göçer Şahin, S.,  Kaya, G. (2016). Psychometric Properties of a Screening Tool for Elementary School Student’s Math Learning Disorder Risk, International Journal of Learning, Teaching and Educational Research 15(12), pp. 48-66.
•    Cevik, V., & Altun, A. (2016). Roles of working memory performance and instructional strategy in complex cognitive task performance. Journal of Computer Assisted Learning, n/a-n/a. //doi:10.1111/jcal.12156
•    Akçapınar, G., Altun, A., & Aşkar, P. (2016). Çevrimiçi Öğrenme Ortamındaki Farklı Öğrenci Profillerinin Kümeleme Yöntemi ile Belirlenmesi. Eğitim Teknolojisi Kuram ve Uygulama, 6(2), 46-64. doi://dx.doi.org/10.17943/etku.91440
•    Aşkar, P., Altun, A., Şimşek, N., & Özdemir, S. (2016). How Teachers and Students Depict Interactive Whiteboards and Tablet PCs in a 9th Grade Classroom? In J. Zhang, J. Yang, M. Chang, & T. Chang (Eds.), ICT in Education in Global Context: The Best Practices in K-12 Schools (pp. 19-35). Singapore: Springer Singapore.
•    Altun, A. (2016). Understanding Cognitive Profiles in Designing Personalized Learning Environments. In B. Gros, Kinshuk, & M. Maina (Eds.), The Future of Ubiquitous Learning (pp. 259-271): Springer Berlin Heidelberg.
•    Özeke, V., & Akçapınar, G. (2016). Einstein's Riddle as a Tool for Profiling Students. Paper presented at the 13th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2016), Mannheim, Germany.
•    Kokoç, M., & Altun, A. (2016, October). Building a learning experience: What do learners' online interaction data imply? Paper presented at Proceedings of 13th International Conference on Cognition and Exploratory Learning in Digital Age 2016. Mannheim, Germany: University of Mannheim.
•    Kokoç, M., & Altun, A. (2016). Öğrenme sürecini görselleştirmede öğrenme analitiği aracı olarak öğrenme panelleri: Bir sistematik tarama çalışması. 4th International Instructional Technologies & Teacher Education Symposium (ITTES 2016). Elazığ, Türkiye.
•    Akçapınar, G. (2016). Predicting Students' Approaches to Learning Based on Moodle Logs. Paper presented at the International Conference on Education and New Learning Technologies (EDULEARN16), Barcelona, Spain.
•    Altun, A., & Mazman, S. (2015). Identifying latent patterns in undergraduate Students' programming profiles. Smart Learning Environments, 2(1), 13. Retrieved from //www.slejournal.com/content/2/1/13
•    Akçapınar, G., Altun, A., & Aşkar, P. (2015). Modeling Students’ Academic Performance Based on Their Interactions in an Online Learning Environment. Elementary Education Online, 14(3), 815-824. doi: //dx.doi.org/10.17051/io.2015.03160
•    Akçapınar, G. (2015). How automated feedback through text mining changes plagiaristic behavior in online assignments. Computers & Education, 87(0), 123-130. doi: //dx.doi.org/10.1016/j.compedu.2015.04.007
•    Ilgaz, H., Mazman, S., & Altun, A. (2015). A Cross Cultural Perspective on Information Communication Technologies Learning Survey. Technology, Knowledge and Learning, 20(2), 159-168. doi:10.1007/s10758-015-9257-5
•    Olkun, S., Altun, A., Şahin, S. G., & Denizli, Z. A. (2015). Temel Sayı Yeterliklerindeki Eksiklikler İlköğretim Öğrencilerinde Düşük Matematik Başarısına Neden Olabilir. Eğitim ve Bilim. doi: //dx.doi.org/10.15390/EB.2015.3287
•    Olkun, S., Altun, A., & Göçer Şahin, S. (2015). Beyond subitizing: symbolic manipulations of numbers. International Journal of Learning, Teaching and Educational Research, 10(1), pp. 93-103.
•    Akçapınar, G. (2015). Profiling Students’ Approaches to Learning through Moodle Logs. Paper presented at the Multidisciplinary Academic Conference on Education, Teaching and Learning (MAC-ETL 2015), Prague, Czech Repub

Links

About

Research Infrastructure

•    iMotions- Affectiva Analiz
It is a biometric research platform that combines eye tracking metrics, facial expression, galvanic skin response and EEG data, enabling simultaneous viewing and analysis of data. With iMotions Affectiva software, it can identify seven different emotions using facial expressions, physiological signals (EEG, GSR), eye, eyebrow and mouth movements. In addition, values related to attention, engagement and valence are also produced by this platform.
https://imotions.com/
https://imotions.com/affectiva/
•    Enobio EEG
Enobio is a wearable, wireless electrophysiology sensor system. It allows configuration, recording and visualization of 24-bit EEG data at 500 S/s. Event-related potential can be measured using Enobio.
https://www.neuroelectrics.com/products/enobio/  
•    Shimmer GSR
The Shimmer GSR is a wireless Galvanic skin response device that measures the change in heat and electricity passing through the skin with sweat and nerves, providing real-time biofeedback.
//www.shimmersensing.com/products/shimmer3-wireless-gsr-sensor
•    Tobii Eye Tracker
It includes software and hardware that allows to detect and analyze eye movements.
•    Gazepoint Mobil Eye Tracker
It includes software and mobile hardware that allows to detect and analyze eye movements.
•    Oculus Lift S VR ve Unity
It includes the software infrastructure required for the preparation of Virtual Reality environments and a set of glasses used for displaying virtual reality applications for educational purposes.

Researchers

•    Prof. Dr. Arif Altun
•    Prof. Dr. Petek Aşkar
•    Prof. Dr. Banu Cangöz
•    Doç. Dr. Gökhan Akçapınar
•    Doç. Dr. Hale Ilgaz
•    Dr. S. Güzin Mazman
•    Dr. Alper Beyazıt
•    Dr. Filiz Mumcu
•    Dr. Mehmet Kokoç
•    Dr. Arif Akçay
•    Şeyma Çağlar-Özhan
•    Adem Özgür
•    Perihan Tekeli

Ongoing Projects

•    Bilgisayar Destekli Duygusal Öneri Sisteminin Öğretmen Adaylarının Bilişsel-Duygusal Gelişimleri Üzerine Etkilerinin Araştırılması,
Proje Türü: -Uluslararası Katip Çelebi-Knewton
Başlangıç - Bitiş Tarihi: 01.07.2020 /
•    Yükseköğretimde Pandemi Dönemi Uzaktan Öğretim Uygulamalarının İncelenmesi ve Deneyimler Üzerinden Açık ve Uzaktan Öğrenme Politikası Önerilerinin Oluşturulması
Proje Türü: -Tübitak 1001
Başlangıç - Bitiş Tarihi: 01.07.2020 /
•    Öğrenme Yönetim Sisteminde Öğrenen Profillerinin Belirlenmesi, Akademik Başarının Tahmin Edilmesi ve Öneri Sisteminin Etkilerinin Belirlenmesi
Proje Türü: -Tübitak 1001 (Yürütücü: A. Kumtepe, Anadolu Ünv)
Başlangıç - Bitiş Tarihi: 15.12.2018 /

Completed Projects

•    E-Öğrenme Ortamlarında Ders Videoları Türü ve Öğrenenlerin Dikkat Düzeylerinin Öğrenme Performansı Temelinde Modellenmesi
Proje Türü: -Tübitak 3001 (Yürütücü: M. Kokoç, Trabzon Ünv.)
Başlangıç - Bitiş Tarihi: 15.12.2018 / 15.12.2020

Publications

•    Cimtay, Y., Ekmekcioglu, E., & Caglar-Ozhan, S., (2020). Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion. IEEE Access, 8, 168865-168878, doi:10.1109/ACCESS.2020.3023871.
•    Çağlar-Özhan, Ş. & Altun, A., (2020). The Cognitive-Emotional Processes and Their Implications for Teacher Education Research. Journal of Psychological and Educational Research, 28(2), 55-74.
•    Özgür, A., Altun, A., & Mazman-Akar, S. G. (2020). Çokluortam öğrenme materyaline bağlanma ölçeği: Geliştirme, geçerlik ve güvenirlik çalışması. Eğitim Teknolojisi Kuram ve Uygulama, 10(2), 321-344. https://doi.org/10.17943/etku.625811
•    Kokoç, M., IIgaz, H., & Altun, A. (2020). Effects of sustained attention and video lecture types on learning performances. Educational Technology Research and Development, 1-25. https://doi.org/10.1007/s11423-020-09829-7
•    Akçapınar, G., & Kokoç, M. (2020). Analyzing the relationship between student's assignment submission behaviors and course achievement through process mining analysis. Turkish Journal of Computer and Mathematics Education, 11(2), 386-401. https://doi.org/10.16949/turkbilmat.711683
•    Ilgaz, H., Natividad, G., & Altun, A. (2020). Literature reviews and systematic reviews of research: The roles and importance. In M. J. Spector, B. B. Lockee & M.D. Childress (Eds.), Learning, Design, and Technology (pp. 1-3). Springer, Cham. https://doi.org/10.1007/978-3-319-17727-4_141-1
•    Kokoç, M., Ilgaz, H., & Altun, A. (2020). Individual Cognitive Differences and Student Engagement in Video Lectures and E-Learning Environments. In Alqurashi, E. (Ed.), Handbook of Research on Fostering Student Engagement with Instructional Technology in Higher Education (pp. 78-93). IGI Global. //doi:10.4018/978-1-7998-0119-1.ch005
•    Ilgaz, H., & Kokoç, M. (2020). E-öğrenmede etkili video ders tasarımları. In M. Kokoç, & H. Ilgaz (Ed.), E-Öğrenmede Videolar: Uygulamalar ve Güncel Eğilimler (pp. 1-15). Ankara: Pegem Academy.
•    Akçay, A., & Altun, A. (2019). Farklı kısa süreli bellek uzamlarına sahip öğrencilerin farklı dikkat tasarımına sahip öğrenme ortamlarındaki göz hareketlerinin incelenmesi. Eğitim Teknolojisi: Kuram ve Uygulama, 9(2), 588-614. https://doi.org/10.17943/etku.568192
•    Kokoç, M., & Altun, A. (2019). Effects of learner interaction with learning dashboards on academic performance in an e-learning environment. Behaviour & Information Technology, 1-15. https://doi.org/10.1080/0144929X.2019.1680731
•    Altun, A., & Kokoç, M. (2019). Following the learners' traces: Profiling learners and visualizing the learning process for building better learning experiences. In M. S. Khine (Ed.), Emerging Trends in Learning Analytics: Leveraging the Power of Education Data (pp. 100-121). Leiden, the Netherlands: Brill | Sense. doi: https://doi.org/10.1163/9789004399273_007
•    Çağlar-Özhan, Ş., & Altun, A., (2019). Eğitim Teknolojisi Araştırmalarında Duygular: Bir İçerik Analizi. 7. Uluslararası Öğretim Teknolojileri ve Öğretmen Eğitimi Sempozyumu Programı (ITTES), 30 Ekim-1 Kasım, Antalya.
•    Akçay, A., & Altun, A. (2019). The study of debugging performance test development. 4th International Turkish Computer & Mathematics Education Symposium, İzmir, Turkey.
•    Çinici, M.A. & Altun, A. (2018). Reusable content matters: a learning object authoring tool for smart learning environments. Smart Learning Environments, 5(10), pp. 1-17. Ulaşmak için tıklayınız.
•    Kaya, G. & Altun, A. (2018). Utilizing a Smart Cognitive Support System for K-8 Education. Smart Learning Environments, 5(17), pp. 1-23.
•    Altun A., Kasalak İ. (2018). Blok Temelli Programlamaya İlişkin  Öz-Yeterlik Algısı Ölçeği Geliştirme Çalışması: Scratch Örneği. Eğitim Teknolojisi Kuram ve Uygulama, 8(1), 209-225. DOI: 10.17943/etku.335916
•    Kokoç, M., & Altun, A. (2018). Building a learning experience: What do learners' online interaction data imply? In D. G. Sampson, D. Ifenthaler, J. M. Spector, P. Isaias, & S. Sergis (Eds.), Learning technologies for transforming teaching, learning and assessment at large scale . New York, NY: Springer.
•    Akçay, A., & Altun, A. (2018). Yüksek düzey kısa süreli bellek uzamlarına sahip öğrencilerin farklı dikkat tasarımlarındaki göz hareketlerinin incelenmesi. 6th International Instructional Technologies & Teacher Education Symposium (ITTES), Edirne, Turkey.
•    Özgür, A. & Altun, A. (2018). Çoklu-ortam Tabanlı İçeriklerde Kullanılan Duyuşsal Tasarım Özelliklerinin İncelenmesi. 12th International Computer & Instructional Technologies Symposium (ICITS) (Uluslararası Bilgisayar ve Öğretim Teknolojileri Eğitimi Sempozyumu), İzmir, Türkiye.
•    Kokoç, M., Ilgaz, H., & Altun, A. (2018, October). Understanding how video interaction data predicts academic performance: A preliminary study. Paper presented at the 2018 AECT (The Association for Educational Communications and Technology) International Convention, Kansas City, MO, USA
•    Kokoç, M., Ilgaz, H., & Altun, A. (2018, October). Understanding how video interaction data predicts academic performance: A preliminary study. Paper presented at the 2018 AECT (The Association for Educational Communications and Technology) International Convention, Kansas City, MO, USA
•    Mazman Akar, S. G. & Altun, A. (2017). Individual Differences in Learning Computer Programming:  A Social Cognitive Approach. Contemporary Educational Technology,8(3). 195-213.  
•    Mazman-Akar, S.G. ve Altun, A. (2017). E-Öğrenme Ortamlarında Algılanan Karmaşık Görev Performans Ölçeği. 5. Uluslararası Öğretim Teknolojileri ve Öğretmen Eğitimi Sempozyumu. 11-13 Ekim 2017, İzmir.
•    Olkun, S.,  Altun, A., Göçer Şahin, S.,  Kaya, G. (2016). Psychometric Properties of a Screening Tool for Elementary School Student’s Math Learning Disorder Risk, International Journal of Learning, Teaching and Educational Research 15(12), pp. 48-66.
•    Cevik, V., & Altun, A. (2016). Roles of working memory performance and instructional strategy in complex cognitive task performance. Journal of Computer Assisted Learning, n/a-n/a. //doi:10.1111/jcal.12156
•    Akçapınar, G., Altun, A., & Aşkar, P. (2016). Çevrimiçi Öğrenme Ortamındaki Farklı Öğrenci Profillerinin Kümeleme Yöntemi ile Belirlenmesi. Eğitim Teknolojisi Kuram ve Uygulama, 6(2), 46-64. doi://dx.doi.org/10.17943/etku.91440
•    Aşkar, P., Altun, A., Şimşek, N., & Özdemir, S. (2016). How Teachers and Students Depict Interactive Whiteboards and Tablet PCs in a 9th Grade Classroom? In J. Zhang, J. Yang, M. Chang, & T. Chang (Eds.), ICT in Education in Global Context: The Best Practices in K-12 Schools (pp. 19-35). Singapore: Springer Singapore.
•    Altun, A. (2016). Understanding Cognitive Profiles in Designing Personalized Learning Environments. In B. Gros, Kinshuk, & M. Maina (Eds.), The Future of Ubiquitous Learning (pp. 259-271): Springer Berlin Heidelberg.
•    Özeke, V., & Akçapınar, G. (2016). Einstein's Riddle as a Tool for Profiling Students. Paper presented at the 13th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2016), Mannheim, Germany.
•    Kokoç, M., & Altun, A. (2016, October). Building a learning experience: What do learners' online interaction data imply? Paper presented at Proceedings of 13th International Conference on Cognition and Exploratory Learning in Digital Age 2016. Mannheim, Germany: University of Mannheim.
•    Kokoç, M., & Altun, A. (2016). Öğrenme sürecini görselleştirmede öğrenme analitiği aracı olarak öğrenme panelleri: Bir sistematik tarama çalışması. 4th International Instructional Technologies & Teacher Education Symposium (ITTES 2016). Elazığ, Türkiye.
•    Akçapınar, G. (2016). Predicting Students' Approaches to Learning Based on Moodle Logs. Paper presented at the International Conference on Education and New Learning Technologies (EDULEARN16), Barcelona, Spain.
•    Altun, A., & Mazman, S. (2015). Identifying latent patterns in undergraduate Students' programming profiles. Smart Learning Environments, 2(1), 13. Retrieved from //www.slejournal.com/content/2/1/13
•    Akçapınar, G., Altun, A., & Aşkar, P. (2015). Modeling Students’ Academic Performance Based on Their Interactions in an Online Learning Environment. Elementary Education Online, 14(3), 815-824. doi: //dx.doi.org/10.17051/io.2015.03160
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