Week 8 Article Reflections (March 5th)
Happy March, everyone! Spring is almost here! 🌸 I look forward to sharing my thoughts on this week's articles with you below 😁
Article 1: Integration of Computational Thinking with Mathematical Problem-based Learning: Insights on Affordances for Learning
The authors of this study offered an in-depth look at how computational thinking (CT) can be woven into early education. The study’s comprehensive review of strategies and tools sparked several reactions, questions, and ideas for practical implementation. Starting with reactions, I was particularly glad they had such an emphasis on embedding CT across subjects rather than isolating it in computer science classes. This makes the most sense to me because we know students learn more when interdisciplinary concepts and skills are taught. However, the research also highlighted gaps in teacher training, which feel like it could be a critical barrier for some schools. Some questions I have include:
- How can schools without access to advanced technology still teach CT?
- What professional development models best support teachers in adopting CT practices?
Moving forward, I’d love to explore how emerging technologies like augmented reality could further enhance CT learning. Are any of you familiar with or already using programs for this purpose with your students?
Article 2: A Framework for Applying Sequential Data Analytics to Design Personalized Digital Game-Based Learning for Computing Education
The framework by Liu and Moon outlines how sequential data analytics can be help design personalized digital game-based learning (DGBL) experiences for computing education. The study emphasizes using learning analytics to track student interactions, adapt content, and tailor educational pathways to individual needs. I thought of a program my district currently uses when reading through this framework called Edmentum. I used ChatGPT this week to help me summarize all Edmentum does and make connections to the framework provided by Liu and Moon. "Edmentum Exact Path is an adaptive learning platform designed to provide personalized instruction in math, reading, and language arts for K-12 students. It uses diagnostic assessments to identify students' skill gaps and strengths, then generates individualized learning paths with targeted activities and resources. The platform continuously adjusts based on student progress, offering built-in practice, tutorials, and assessments to reinforce learning." (OpenAI, 2023). I love using this program in my class because it explicitly targets concepts on my student's level! Also, the immediate feedback for students and teachers is very beneficial. Using an approach like this helps make computing education more engaging. It's also practical because it aligns game mechanics with educational goals and student progress!
References
Kampylis, P., Dagienė, V., Bocconi, S., Chioccariello, A., Engelhardt, K., Stupurienė, G., Masiulionytė-Dagienė, V., Jasutė, E., Malagoli, C., Horvath, M., & Earp, J. (2023). Integrating Computational Thinking into Primary and Lower Secondary Education: A Systematic Review. Educational Technology & Society, 26(2), 99-117.
Liu, Z., & Moon, J. (2023). A Framework for Applying Sequential Data Analytics to Design Personalized Digital Game- Based Learning for Computing Education. Educational Technology & Society, 26(2), 181-197.
Lin, X.-F.,Wang, J., Chen, Y., Zhou, Y., Luo, G., Wang, Z., Liang, Z.-M.,Hu, X., & Li, W. (2023). Effect of a Reflection-Guided Visualized Mindtool Strategy for Improving Students’ Learning Performance and Behaviors in Computational Thinking Development. Educational Technology & Society,26(2), 165-180.
OpenAI. (2025). Connection between Edmentum Exact Path and personalized learning frameworks. Retrieved March 5, 2025
You’ve provided an insightful and thoughtful analysis of the three articles, and your reflections on how computational thinking (CT) can be integrated into education are well-grounded. Your observation about the importance of embedding CT across subjects rather than isolating it in computer science aligns with current research emphasizing interdisciplinary learning. Addressing the gaps in teacher training is a key point—professional development and access to resources are critical for ensuring that CT practices are effectively implemented. Your questions about how to teach CT in low-tech environments and the best professional development models are particularly relevant and could spark meaningful conversations about equity and access in education.
ReplyDeleteYour connection between the Liu and Moon framework and Edmentum Exact Path is particularly strong. It illustrates how learning analytics can be used to personalize instruction and enhance student engagement. Your experience with ChatGPT to summarize the platform shows how technology can support both students and teachers. The immediate feedback and tailored learning paths provided by platforms like Edmentum align well with the principles of personalized learning and game-based learning outlined in the framework. Additionally, your reflection on Lin et al. (2023) brings a valuable personal perspective. The idea of using visual mind tools and guided reflection to improve problem-solving and self-awareness is compelling. Your interest in exploring how digital platforms like Padlet could support this strategy shows a forward-thinking approach. It would be interesting to hear more about how students respond to these methods and whether similar strategies could be adapted for other age groups or subjects. Overall, your post effectively ties together theory, practice, and personal experience, creating a strong foundation for deeper exploration of CT in education.
Thank you for sharing your experience with a similar program as discussed in the article. I think you highlighted some of the best parts of these programs; personalization of learning based on where students are, the immediate feedback and adjustment, and alignment with educational goals. These three items are great for learning, and can be effective in helping achieve goals. Your post helped me further understand computational thinking in the classroom. While not a new concept to me, I would say I was not as knowledgeable on computational thinking.
ReplyDeleteI too would be interested in if anyone is using AR to help with computational thinking skills. Would love to hear other examples of how people are using tools to help with computational thinking.