Science & Learning Technologies Group

Our team 2015

Completed PhD Theses 
1. Rania Hussein- Farraj, PhD 2013
Integrating distance learning in continuing education: Perceptions and achievements of sciences and engineers
2. Ariella Levenberg, PhD 2017
Flexible thinking in technology-enhanced learning environments: from theory to practice
Ariella is a senior lecturer at Gordon College for Techer Education, Haifa, Israel.
3. Abeer Watted, PhD 2018
Project-based MOOC in Nanotechnology and Nanosensors: Examining Motivation to Learn and Knowledge
4. Gizell Green, PhD 2018
A Model for Social Constructivist Online Education in Ethics of Research for Science and Engineering Graduate Students

Completed MSc Theses 
1. Arthur Kogan, MSc 2008
Pre-service teachers in the information age: How do they perceive the use of advanced technologies in teaching and learning?
2. Rodeina Shalata, MSc 2008
Science and technology teachers’ perceptions about the role of mentors in the Arabic sector
3. Sergey Kozyrev, MSc 2008
Developing semantic web-based virtual worlds to enhance users’ critical thinking skills
4. Rania Hussein- Farraj,  MSc 2009
The integration of computerized molecular modeling in biochemistry teaching and its effect on students’ model perception and chemistry understanding
5. Tamar Ashkar, MSc 2010
The integration of animation movies in elementary science education and its effect on students’ motivation and learning outcomes
6. Yael Nissim, MSc 2010
Teaching strategies and science teachers’ perception of their role in the information age
7. Anat Weisman, MSc 2017
Location-Based Learning as a Mean for Expressing Creativity among Preservice Science Teachers

SLT in room

Theses in Progress

Sigal Morad, PhD
A model for promoting innovative thinking among preservice teacher
Maya Usher, PhD
Project-based science in diverse learning environments: Examining knowledge construction and innovative thinking
Shadi Asakle, PhD
A model for promoting scientific thinking and motivation through situated, online, collaborative and interactive learning