Lecture

Why Take Notes: Handwritten vs. Laptop

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Description

This lecture discusses the importance of note-taking in science and engineering, comparing handwritten notes with laptop notes. Research shows that handwritten notes lead to better academic performance and deeper learning compared to laptop notes, which often result in verbatim transcription and shallower processing. Studies indicate that students using laptops are more likely to be distracted, multitask, and perform poorly on conceptual questions. The lecture also explores the benefits of synthesizing and summarizing content rather than transcribing it word for word.

In MOOC

Learning to study science and engineering

Why take this course? Joining a scientific university course such as EPFL is the start of an exciting and exhilarating journey. Nevertheless, this type of study is generally very difficult and requires a huge investment of time and energy. Even those who work between 50 and 60 hours a week can sometimes struggle to keep up with everything they have to do... You've undoubtedly heard countless pieces of advice - often contradictory - on the most effective ways to study, but which methods are really proven t

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Related concepts (9)

Note-taking

Note-taking (sometimes written as notetaking or note taking) is the practice of recording information from different sources and platforms. By taking notes, the writer records the essence of the information, freeing their mind from having to recall everything. Notes are commonly drawn from a transient source, such as an oral discussion at a meeting, or a lecture (notes of a meeting are usually called minutes), in which case the notes may be the only record of the event.

Learning

Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed by humans, animals, and some machines; there is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single event (e.g. being burned by a hot stove), but much skill and knowledge accumulate from repeated experiences. The changes induced by learning often last a lifetime, and it is hard to distinguish learned material that seems to be "lost" from that which cannot be retrieved.

Machine learning

Machine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines 'discover' their 'own' algorithms, without needing to be explicitly told what to do by any human-developed algorithms. Recently, generative artificial neural networks have been able to surpass results of many previous approaches.

Experiential learning

Experiential learning (ExL) is the process of learning through experience, and is more narrowly defined as "learning through reflection on doing". Hands-on learning can be a form of experiential learning, but does not necessarily involve students reflecting on their product. Experiential learning is distinct from rote or didactic learning, in which the learner plays a comparatively passive role. It is related to, but not synonymous with, other forms of active learning such as action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning.

Comparison of note-taking software

The tables below compare features of notable note-taking software.

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