Towards Understanding Student's Mental Effort in Block- Based Programming Environments Using Electroencephalogram (EEG)
| Autor: | Yerika Jimenez |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.diagnostic_test
Computer science business.industry media_common.quotation_subject Perspective (graphical) Cognition 02 engineering and technology Electroencephalography Mental effort Block (programming) Human–computer interaction Scratch 020204 information systems Perception 0202 electrical engineering electronic engineering information engineering medicine Artificial intelligence business computer media_common computer.programming_language |
| Zdroj: | ICER |
| Popis: | Block-based programming environments such as Scratch and App Inventor are currently being used by millions of students around the world. Although block-based programming environments were created to make computing concepts simpler for students to understand and visualize, students continue to struggle with understanding some basic Computer Science (CS) concepts [1]. My research focuses on understanding how students interact and learn computing concepts in block-based programming environments from a cognitive perspective. In particular, I am using neurophysiological devices, electroencephalography (EEG), to measures students' mental efforts that is attention and perception during programming tasks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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