Center for Learning Technologies (CLT)
- Act as a bridge between educational & pedagogical researchers and practices to promote excellence in all aspects of learning.
- Preserve and nurture the institutional knowledge at Zewail City
- Facilitate a world-class, technology-enhanced learning experience for faculty and students
- Offer relevant and comprehensive resources that enrich the research process
- Support professor in offering differentiated and tailored education service
The CLT comprises three units:
- Teaching Effectiveness Unit
- Online Services Unit
- Research Unit
Services to UST:
- Teaching Effectiveness:
- Faculty Training
- Teaching Assessment
- Adjunct Faculty Certification
Online Services Unit:
- Classroom Technologies
- Online services
- Admission Process
- Learning Environment
- Learning Analytics
Teaching Effectiveness Unit:
- Developing educational capabilities and skills of the academic staff
- Conducting the three-step clinical classroom observation model
- Conducting student evaluations analyze outcomes & giving feedback
- Designing, preparing and delivering foundation workshops and training sessions on needed topics as identified during classroom observations and students’ surveys.
- Designing, preparing and delivering the courses for the ZC Teaching Certification.
- Conducting Induction and Orientation programs for Faculty members and TAs
- Participate in the student orientation program by giving a presentation on the unit and students’ expectations.
- Designing teaching and assessment strategies for faculty members according to their needs.
- Coordinating with faculty administration, accreditation unit, and learning technologies to ensure proper implementation of teaching effectiveness plan.
- Performed more than 120 Classroom visits
- Reconstructed the Course Evaluation Form
- Implemented midterm and final surveys for all courses
- Designed Lecture Objectives Feedback
- Conducted Induction workshops for newly hired TAs
- Directed Faculty Orientation Sessions
- Held “Assessment for Better Learning” workshop for TAs
- Conducted Foundations of Teaching Workshop for Faculty members.
TEU Future Plan:
- Develop customized workshops as per identified needs
- Conduct an induction program for TAs
- Conduct an induction program for Professors
- Conduct Higher Education Teaching Certification workshops for all Faculty members
Online Services Unit
Online Services Unit’s Responsibilities:
- Developing new in-house customized application with continuous technical support and training
- Governing the Admission Exams
- Managing the Electronic Petitions system
- Running the online Course Evaluation System
- Supervising Lecture Objectives Feedback
- Handling Moodle
- Maintaining the Book System
- Supporting SU Elections
Online Services Unit’s Accomplishments:
- Developed Computer-based Examination Software
- Governed The Admission Exam for three years
- Created the Electronic petitions system
- Produced Lecture Objectives Feedback Module
- Developed an online course evaluation System
- Created Book System
- Formed Online Graduation Application
- Generated online Elections application for the Student Union
- Running Admission Reservation System
- Moodle (open source LMS) Establishment
Online Services Unit Future Plan:
- Classroom Management System
- Mobile Support for All LTS applications
- Adaptive, personalized learning management system
- Examination System
- Small group collaboration framework
The main objective of the Research Unit is to develop novel tools and methodologies for enhancing learning and teaching outcomes with a special focus on the computer-supported collaborative learning (CSCL). In the following, a summary of the conducted and in-progress research will be provided.
Published research papers:
- Research Title: Affordances of Computer-Supported Collaborative Learning: A Systematic Review.
- Research aim: To conduct a survey on the available tools for CSCL to be able to highlight the gaps and limitations that need be addressed by further research.
- Published in Proceedings of the 17th International Conference on Collaborative Learning, IEEE, 2014
Research Title: Identifying knowledge-building phases in computer-supported collaborative learning: A review.
- Research aim: To track the knowledge building process in CSCL and to identify the most neglected phases in available tools.
- Published in the International Conference on Interactive Collaborative Learning (ICL), IEEE, 2015.
Research Title: Collaborate-it: A tool for promoting knowledge building for face-to-face computer-supported collaborative learning.
- Research aim: To build a tool prototype that promotes knowledge building in CSCL setting based on Stahl’s model of knowledge building.
- Published in the 15th International Conference on Information Technology Based Higher Education and Training, IEEE, 2016.
Research Title: Employing Game theory and Multilevel Analysis to Predict the Factors that affect Collaborative Learning Outcomes: An Empirical Study.
- Research aim: To model interactions between students in collaborative learning using the Game Theory.
- Published in arXiv as a preprint arXiv: 1610.05075, 2016.
Research Title: The need for a paradigm shift in computer-supported collaborative learning tools.
- Research aim: Based on our previously conducted surveys, this research highlights the main limitations of the technological affordances of available CSCL. In addition, it proposes a framework to overcome these limitations.
- Published in The IEEE Computing Conference, London, 2017.
On-going research project
- Research Title: Adaptive Learners Profiling System Using EEG.
- Research aim: Working in joint with a research team from the Egypt-Japan University for Science and Technology in developing a system that tracks the online learning behaviors of students using their EEG and displays study hints and materials, and sends collective reports to the professors and parents.
Shortlisted submitted research proposals
- Research Title: Measuring Collaborative Knowledge Created in Communities of Practice.
- Research aim: To build a tool for measuring and tracking knowledge created in group discussion as a plug-in for the open-source learning management system Moodle (www.moodle.org).
- Submitted to ITAC, 2017.
3. Ongoing research
- Researching data analytics in CSCL for editing our first book on “Big Data in CSCL”.
- The design and analysis of an adaptive CSCL tool using reinforcement learning.
4. White Papers
- Research Title: How May Data Analytics and Cloud Computing Contribute to Shaping the Future of CSCL?
- Research aim: In this paper, we present a framework that integrates big data tools and cloud computing in CSCL to add affordances for the formal as well as the informal learning. We also highlight how CSCL can benefit from the rapid advancement of these tools to perform analytics that would provide educational as well as social affordances that promote ubiquitous learning.
- Research Title: The ontological distinction between knowledge and information
- Research aim: To highlight the challenges in knowledge management for the ultimate goal of building a knowledge management system for ZC that incorporates a CSCL module.
About the Director: Dr. Ashraf Badawi
An Associate Professor at the University of Science and Technology. He is also the:
- Director of the Center for Learning Technologies
- The Dean of Student
Badawi has a broad range of experience in wireless technologies, sensor design, hardware architecture, signal integrity, power delivery, antenna design and electromagnetic compatibility analytics.
- 1990: He kicked off his scientific career as an embedded systems design engineer at REEM
- 2000: Joining Intel Corporation in the U.S., he worked as a memory system architect, a system architect manager and a wireless system architect.
- 2005: he returned to Egypt where he was appointed research director at the Center of Excellence for Wireless Applications, Intel Corporation-Egypt.
- 2008: he also cofounded Biobusiness: a research and development start up for the design, prototyping and developing of medical equipment in Egypt.
- 2011: He also served as a senior research architect at SMART Technologies.
Badawi’s research has addressed questions in wireless technology network level simulations with emphasis on LTE and WiMAX (wireless broadband technologies), knowledge analysis methods and education technologies, implantable sensors, and antenna and microwave systems analysis and design.
Badawi graduated in 1990 with a Bachelor of Engineering degree in systems and biomedical engineering from the Faculty of Engineering, Cairo University, Egypt.
After graduation, he went on to obtain his master’s degree in engineering physics from the same university. He then attended the University of Manitoba in Canada, where he received his Doctor of Philosophy degree in electrical and computer engineering. In 2008, he was accredited with a Master of Business Administration degree from The American University in Cairo, Egypt.