I put 5 study hacks to the test this year – here’s what I learnt

The landscape of academic study techniques is as varied as it is complex, with each method offering unique benefits and challenges. Salima Mkaouar, in her recent exploration, provides a critical assessment of five popular study techniques, ranking them based on effectiveness in managing academic stress. Her insights offer a crucial perspective on the practical application of these methods in real-world educational settings.

Active Recall: The Foremost Strategy

At the pinnacle of Mkaouar's evaluation is the active recall or blurting method. This technique, which involves actively retrieving information from memory, is praised for its robust impact on long-term retention. The method's emphasis on challenging the brain to remember information without cues is particularly effective in enhancing memory consolidation. However, the technique's demanding nature raises questions about its accessibility for all learners, especially those who may struggle with high-pressure recall scenarios.

The Pomodoro Technique: Balancing Focus and Rest

Following closely is the Pomodoro Technique, a time management method that segments study sessions into focused intervals separated by short breaks. This approach is lauded for its ability to maintain concentration while preventing burnout. "The Pomodoro Technique is a game-changer for those who find it difficult to maintain focus over extended periods," Mkaouar notes. Yet, its rigid structure might not suit individuals who thrive in more flexible study environments.

The Feynman Technique and Question Banks

The Feynman Technique, which involves teaching a concept to someone else to understand it better, ranks third. While effective in deepening comprehension, its reliance on interpersonal interaction may limit its usability for solitary learners. The question bank method, which involves practicing with a variety of questions, follows in fourth place. Despite its utility in familiarizing students with exam formats, it risks fostering a surface-level understanding if not complemented by deeper study techniques.

Cornell Note-Taking: A Traditional Method Under Scrutiny

Finally, Mkaouar places the Cornell note-taking method at the bottom of her list. This structured system of organizing notes is criticized for being overly complex and time-consuming, potentially detracting from the learning experience. The method's traditional approach may not align with the dynamic needs of modern learners who require more adaptive strategies.

As educational institutions increasingly integrate technology into learning environments, these findings underscore the need for a nuanced understanding of study techniques. The effectiveness of these methods varies widely among individuals, emphasizing the importance of personalized learning strategies that cater to diverse cognitive styles.

Originally published at https://blogs.lse.ac.uk/studentsatlse/2025/08/06/i-put-5-study-hacks-to-the-test-this-year-heres-what-i-learnt/

ResearchWize Editorial Insight

Salima Mkaouar's analysis of study techniques is a wake-up call for students and researchers alike. It challenges the status quo of academic strategies, urging a reevaluation of how we approach learning. The study highlights the disparity in effectiveness among popular methods, such as active recall and the Pomodoro Technique, and questions their universal applicability.

For students, this article is a reminder to tailor study habits to personal learning styles, rather than blindly following trends. It underscores the importance of flexibility and adaptation in educational approaches, especially as digital tools become more prevalent.

Researchers should take note of the potential for these findings to influence educational policy and curriculum development. Are current teaching methods aligned with these insights? How can educational systems incorporate more personalized learning strategies?

This critical assessment also raises broader questions about the future of learning. As technology reshapes education, will traditional methods like Cornell note-taking become obsolete? How can we ensure that study techniques evolve to meet the needs of diverse learners?

In essence, Mkaouar's exploration is not just about ranking study techniques—it's about sparking a conversation on how to optimize learning in an ever-changing academic landscape.

Looking Ahead

1. AI Literacy for All AI is no longer a domain exclusive to tech enthusiasts and computer scientists. Its pervasive influence demands that we treat AI literacy as essential as reading or math. But are our educational systems equipped to handle this shift? Schools must integrate AI fundamentals into the curriculum from an early age, ensuring that future generations can navigate, critique, and innovate within an AI-driven world. The question is, will curriculum developers move quickly enough to keep pace with AI's rapid evolution?

2. Beyond Coding: Ethical Implications Teaching AI isn't just about coding and algorithms. We must embed ethics, bias detection, and data privacy into AI education. As AI systems increasingly make decisions affecting lives, understanding their ethical implications becomes crucial. Are educators prepared to tackle these complex topics? Institutions need to develop robust training programs for teachers to ensure they can impart this critical knowledge.

3. Interdisciplinary Approach AI's impact spans across fields — from healthcare to humanities. Thus, education must adopt an interdisciplinary approach, blending AI with other subjects. For instance, how can AI enhance historical research or improve healthcare outcomes? Encouraging students to explore AI's intersection with diverse fields will foster innovation and critical thinking. However, do current educational frameworks allow for such fluidity between disciplines?

4. Hands-On Experience and Real-World Applications Theoretical knowledge is not enough. Students need hands-on experience with AI tools and real-world applications to truly grasp the technology's potential and limitations. Partnerships between educational institutions and tech companies could provide invaluable opportunities for experiential learning. But will businesses be willing to collaborate, and how will these partnerships be structured to benefit both parties?

5. Regulation and Standardization As AI education becomes more widespread, the need for standardized curricula and regulatory oversight grows. Without it, we risk a fragmented educational landscape where the quality of AI education varies drastically. What happens if regulators fall behind? Can we afford to wait for policy to catch up, or should educators take the lead in establishing best practices?

6. Lifelong Learning and AI AI is a moving target. Lifelong learning will be essential as AI technologies evolve. Educational institutions must create pathways for continuous education and upskilling in AI. But how will they incentivize learners to engage in ongoing education, especially those already in the workforce?

The evolution of AI education is not just about adapting to technology but also about preparing our society for the ethical and systemic shifts it brings. As we look ahead, the question remains: will our educational systems rise to the challenge, or will they be left scrambling in AI's wake?

Originally reported by https://blogs.lse.ac.uk/studentsatlse/2025/08/06/i-put-5-study-hacks-to-the-test-this-year-heres-what-i-learnt/.

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