Bio

  Week 15: AJET Special Issue: Emerging Tech in Ed for Innovative Pedagogy and Competency Development (2021), 37(5),   Article 1: Students’ Competencies Discovery and Assessment Using Learning Analytics and Semantic Web Halimi and Seridi-Bouchelaghem (2023) explore how learning analytics and semantic web technologies can be utilized to discover and assess students' competencies. This study particularly resonates with me because it challenges the traditional assessment approaches, advocating for more dynamic and data-driven methods. The integration of semantic web technologies to map and assess competencies is innovative and forward-thinking, as it allows for real-time analysis of student progress and skill acquisition. One intriguing concept is the use of ontology-based competency models. This approach facilitates the creation of detailed profiles that can evolve as students engage with different learning materials. I find this particularly fascinating becaus...

  Week 14: Balancing Student Privacy and Technology Integration in Higher Education: Engagement, Encroachment, and Interstitial Spaces.  British Journal of Educational Technology  (BJET). (2023, November). 54(6). Stephanie J. Blackmon & Claire H. Major.   Article 1: Transforming Education through ICT: Exploring Students' Study Practices in a Resource-Constrained University Setting The study by Dirckinck-Holmfeld et al. (2023) explores how students in a resource-constrained university setting adapt their study practices through information and communication technology (ICT). One of the concepts that resonated with me is the adaptive nature of students in challenging environments. The authors emphasize that despite limited resources, students creatively use available technology to enhance their learning. This ingenuity is both inspiring and a reminder that digital literacy can thrive even under constraints. I was particularly intrigued by the way the studen...

 Week 13: Governmental and Nonprofit Reports: Part 1 The Future of AI and Ed Tech Article 1: Artificial Intelligence and the Future of Work The rapid integration of artificial intelligence (AI) into various industries is reshaping the labor market, raising both opportunities and challenges. The report by the National Academies of Sciences, Engineering, and Medicine (2024) provides a comprehensive analysis of how AI is expected to impact the future of work. One of the most striking points in the report is the prediction that AI will not just displace jobs but also create new ones, requiring a shift in workforce skills and competencies. I found it particularly insightful that the report emphasizes the need for a proactive approach to workforce development. This means not just training for current roles but also preparing workers for the emerging AI-driven economy. One of the key recommendations is investing in lifelong learning and reskilling initiatives to help workers adapt to...