FEU Institute of Technology

Educational Innovation and Technology Hub

Loading...

Redefining Learning in the Digital Age

Welcome to EdITHABLE, our flagship program aimed at Achieving a Better Learning Experience for all students!

As the research and development arm for educational technology of our esteemed university, we take immense pride in fostering an environment that embraces cutting-edge technologies and innovative educational practices.

What sets EdITHABLE apart?

EdITHABLE is an episode-by-episode exploration, carefully curated to delve into diverse topics that are shaping the future of learning. It is not just a series of seminars; it is an immersive journey that embraces the transformative power of technology and its seamless integration into education.

Interactive Episodes

Engaging, hands-on learning experiences that put you at the center of the action.

Diverse Topics

Explore a spectrum of subjects, from edtech trends to digital learning strategies.

Practical Applications

Learn skills you can apply immediately, making an impact in and beyond the classroom.

Networking Opportunities

Connect with industry leaders and peers, forging collaborations and lifelong friendships.

Expert Speakers

Gain insights from top educators and tech innovators who shape the future of education.

Certificate of Participation

Celebrate your growth and showcase your commitment to educational excellence.

List of Episodes

Join us on this remarkable adventure as we reimagine education, embrace technology, and redefine the way we learn. Together, let's Achieve a Better Learning Experience with EdITHABLE and embark on a transformative journey that will shape the future of education.

Episode No. 4

August 14, 2024

AI in the Workplace: Practical Applications for Educators and Associates to Improve Teaching and School Management

Artificial Intelligence (AI) has rapidly transformed various sectors, and education is no exception. AI in the workplace offers a myriad of opportunities to enhance teaching practices, streamline administrative tasks, and foster a more efficient and effective educational environment. By integrating AI technologies, educators and staff can not only improve the quality of instruction but also optimize school management processes, leading to better educational outcomes for students. This episode will delve into practical applications of AI, demonstrating how these advanced tools can support and elevate the educational experience.

The EdITHABLE Episode 4 focuses on harnessing the power of AI to enhance educational practices and administrative efficiency. This episode explores how AI technologies can be utilized to streamline school operations, personalize education, and support data-driven decision-making.

For this episode, the objectives are as follows:

  1. Understand the Foundations of AI in Education: Participants will gain a thorough understanding of the principles and applications of AI in the educational context. This includes familiarizing themselves with key AI concepts, tools, and technologies that are shaping the future of education, as well as exploring the theoretical framework that supports AI-driven innovations in teaching and school management.
  2. Develop Proficiency in AI Tools for Educational Improvement: The workshop will provide attendees with practical skills to utilize AI tools for various educational purposes. This objective includes learning how to apply AI technologies to automate administrative tasks, enhance instructional delivery, and analyze educational data to inform decision-making processes. Participants will engage in hands-on activities to explore AI applications that can be implemented in their schools.
  3. Apply AI to Enhance Teaching and School Management: Participants will learn how to translate AI insights into practical strategies for improving teaching and school management. This involves using AI tools to identify and address individual student needs, optimize resource allocation, and streamline administrative workflows. Attendees will engage in practical exercises to design AI-driven solutions that can be applied in their educational contexts, ultimately leading to a more efficient and effective learning environment.

Join us to discover how AI can revolutionize your approach to teaching and school management, making processes more efficient and improving student learning outcomes.

Episode No. 3

April 12, 2024

Personalized Education: A Workshop on Cognitive Diagnosis Modeling Using R Programming

Personalized learning has emerged as a pivotal approach in education, aiming to tailor the learning experience to meet the individual needs, skills, and interests of each student. This method recognizes the diverse learning styles and paces at which students learn, thereby enhancing engagement, motivation, and educational outcomes. By leveraging data-driven insights to customize instruction, personalized learning shifts the educational paradigm from a one-size-fits-all to a more inclusive, adaptive model. This approach not only addresses learners' weaknesses and builds on their strengths but also fosters a deeper, more meaningful learning experience.

The EdITHABLE Episode 3 focuses on unlocking the full potential of personalized learning through the lens of Cognitive Diagnostic Modeling (CDM) using R programming. This episode explores how we can utilize CDM to analyze learning data and identify specific gaps in knowledge and skills of students. Integral to this episode is the inclusion of a workshop component designed to provide hands-on experience with CDM and R programming. This practical segment is aimed at empowering educators with the skills necessary to implement these advanced diagnostic tools in their own classrooms.

For this episode, the objectives are as follows:

  1. Understand the Foundations of CDM: Participants will gain a comprehensive understanding of the principles and methodologies underlying CDM. This includes familiarizing themselves with key concepts, models, and the theoretical framework that enables the diagnosis of students' cognitive skills and knowledge states.
  2. Develop Proficiency in R Programming for Educational Data Analysis: The workshop will provide attendees with the skills to use R, a powerful programming language for statistical computing and graphics, for the analysis of educational data. This objective includes learning how to manipulate data sets, apply CDM packages, and visualize diagnostic results effectively to inform instructional strategies.
  3. Apply CDM to Design Personalized Learning Experiences: Participants will learn how to translate diagnostic insights into actionable teaching strategies. This involves using data derived from CDM to identify individual learning needs, tailor instructional content, and adjust teaching methods to improve student engagement and achievement. Attendees will engage in practical exercises to design personalized learning plans that can be implemented in their educational contexts.
More Episodes Coming Soon