I'm a research assistant and doctoral candidate affiliated with the Leibniz Institute for Educational Research and Information and Goethe University in Frankfurt am Main, Germany. My doctoral research focuses on advancing the field of Learning Analytics through the development and evaluation of an innovative tool called OpenLAIR. This tool empowers course designers, educators, students, and researchers by providing comprehensive insights through learning analytics indicators and dashboards.
My work involves researching, refining, and assessing OpenLAIR to ensure it effectively supports informed decision-making in learning design activities. Additionally, I am spearheading efforts to integrate natural language processing (NLP) techniques into OpenLAIR, streamlining the process of extracting learning analytics indicators and metrics from academic literature. This ensures that OpenLAIR remains current and comprehensive in its offerings.
• PhD Student at Goethe University Frankfurt - Germany (2019 - Present)
• M.Sc. at RWTH Aachen University - Germany (2015 - 2018)
• B.Sc. at IIU Islamabad - Pakistan (2010 - 2014)
• Higher Secondary School Certificate - Pakistan (2008 - 2010) *(University Entrance Qualification)
• Secondary School Certificate - Pakistan (1996 - 2008)
Atezaz Ahmad
Rostocker Str. 6,
60323, Frankfurt am Main
a.ahmad@dipf.de
I am in the process of composing my doctoral dissertation, which is the culmination of my PhD journey. It involves a deep dive into data analysis, literature review, and synthesis of ideas to form a coherent argument that supports my thesis.
OpenLAIR has introduced a novel feature that integrates a review and verdict system into its dashboard. The new review system allows users to rate and provide feedback on learning analytics indicators, fostering a collaborative environment where insights can be shared and discussed. Complementing this, the verdict system empowers users to assess the reliability of indicators, offering guidance on their trustworthiness based on comprehensive information provided within OpenLAIR. These features aim to streamline the selection process for course designers, educators, and researchers, ensuring that the most effective and relevant indicators are employed in educational settings.
The paper will be showcased during a presentation at the CSEDU 2024 conference, which is scheduled to be held in the beautiful city of Angers, France. This academic event provides an excellent platform for scholars and researchers to share their findings and engage in fruitful discussions within the field of computer science and education.
Full research paper titled "Students Want to Experiment While Teachers Care More About Assessment! Exploring How Novices and Experts Engage in Course Design." is accepted at CSEDU. CSEDU, the International Conference on Computer Supported Education, is a yearly meeting place for presenting and discussing new educational tools and environments, best practices and case studies on innovative technology-based learning strategies, and institutional policies on computer supported education including open and distance education. CSEDU will provide an overview of current technologies as well as upcoming trends, and promote discussion about the pedagogical potential of new educational technologies in the academic and corporate world. CSEDU seeks papers and posters describing educational technology research; academic or business case-studies; or advanced prototypes, systems, tools, and techniques.
We have developed an advanced API for OpenLAIR, designed to autonomously extract critical features such as indicators, metrics, activities, and events from the latest scholarly articles in learning analytics. This API leverages cutting-edge algorithms to parse and analyze academic texts, identifying key elements that contribute to the understanding and advancement of learning analytics. By automating this process, the API facilitates a more efficient and comprehensive review of literature, enabling stakeholders to quickly assimilate new findings and integrate them into their educational strategies and tools. This represents a significant leap forward in the field, streamlining research processes and enhancing the accessibility of valuable data for educators and researchers.
Should you have any inquiries or are interested in collaboration, feel free to reach out via email. I'm eager to respond and look forward to our interaction.