Anat Cohen

Anat Cohen (PhD) is a senior academic staff at Tel Aviv University's School of Education, where she heads the Learning and Technology program in the Department of Education in Mathematics, Science and Technology. She is a deputy chair holder of technology and education affairs in the UNESCO Chair in Technology, Internationalization and Education; a research coordinator of Web-Supported Academic Instruction at Tel-Aviv University (Virtual TAU); and the PI of a research project funded by the Education Ministry's chief scientist: Integrating Mathematical Applets in the Teaching Sequence. Dr. Cohen has vast research and teaching experience in the field of learning and cyber technologies. For the past 20 years she has been engaged in developing online learning materials, training academic staff and characterizing how to fit learning-management features to the university’s needs. Her research activities focus on areas such as learning analytics and educational data-mining, social networks and privacy perception, ICT implementation in higher education, cost-effectiveness of online learning, open educational resources (learning object repositories & MOOCs) and mobile-assisted learning.

Publications

Early Predictors of Persistence and Performance in Online Language Courses
Early Predictors of Persistence and Performance in Online Language Courses
Hagit Gabbay, Anat Cohen, Eitan Festinger. © 2023. 19 pages.
This study examines the relationship between online learning behavior and learning outcomes with the aim of identifying early predictors of learners' persistence and success....
Do Student-Written Responses to Reflection Questions Predict Persistence and Performance in Online Courses?: A Text Analysis Approach
Do Student-Written Responses to Reflection Questions Predict Persistence and Performance in Online Courses?: A Text Analysis Approach
Danny Glick, Anat Cohen, Hagit Gabbay. © 2023. 21 pages.
Online learning has been recognized as a promising approach to improve learning outcomes in developing countries where high-quality learning resources are limited. Concomitant...
Using Written Responses to Reflection Questions to Improve Online Student Retention: A Text Analysis Approach
Using Written Responses to Reflection Questions to Improve Online Student Retention: A Text Analysis Approach
Danny Glick, Anat Cohen, Hagit Gabbay. © 2023. 22 pages.
Online learning has been recognized as a promising approach to improve learning outcomes in developing countries where high-quality learning resources are limited. Concomitant...
Early Warning Systems and Targeted Interventions for Student Success in Online Courses
Early Warning Systems and Targeted Interventions for Student Success in Online Courses
Danny Glick, Anat Cohen, Chi Chang. © 2020. 374 pages.
Online learning has increasingly been viewed as a possible way to remove barriers associated with traditional face-to-face teaching, such as overcrowded classrooms and shortage...
Do Student-Written Responses to Reflection Questions Predict Persistence and Performance in Online Courses?: A Text Analysis Approach
Do Student-Written Responses to Reflection Questions Predict Persistence and Performance in Online Courses?: A Text Analysis Approach
Danny Glick, Anat Cohen, Hagit Gabbay. © 2020. 21 pages.
Online learning has been recognized as a promising approach to improve learning outcomes in developing countries where high-quality learning resources are limited. Concomitant...
Early Predictors of Persistence and Performance in Online Language Courses
Early Predictors of Persistence and Performance in Online Language Courses
Hagit Gabbay, Anat Cohen, Eitan Festinger. © 2020. 18 pages.
This study examines the relationship between online learning behavior and learning outcomes with the aim of identifying early predictors of learners' persistence and success....
Contextualized MALL in Target and Non-Target Countries: Mobile Activity Evaluation
Contextualized MALL in Target and Non-Target Countries: Mobile Activity Evaluation
Anat Cohen, Orit Ezra. © 2019. 22 pages.
Mobile-assisted language learning (MALL) is known to be conducive to contextualized language learning. However, the literature lacks an understanding of context. Nor is there a...