Writing Papers In Psychology And Neuroscience: Ai-Assisted
Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Manuscript Writing
What you’ll learn
Understand the very structure and components of neuroscience and psychology manuscripts.
Use AI tools to improve writing in all sections of a research paper, from introduction to discussion.
Understand the publication process-including journal selection, cover letters, and reviewer responses-using AI ethically and effectively.
Requirements
If you are new to research writing or AI tools, don’t worry! This course is designed to be beginner-friendly and will guide you step-by-step through the process of writing academic papers with the assistance of AI.
Description
Overview
Section 1: Introduction to writing in the field
Lecture 1 A short history
Lecture 2 The main goal of writing manuscripts
Lecture 3 Anatomy of a manuscript
Lecture 4 The order of writing
Lecture 5 Generative AI tools covered in the course
Section 2: The Introduction section
Lecture 7 First paragraph features
Lecture 8 Set the stage in the first sentence
Lecture 9 Sample strategies
Section 3: Improving the Intro with AI tools
Lecture 12 Our case study on facial emotions
Lecture 13 Layout creation using Jenni AI
Lecture 15 Chat GPT kinds of prompts
Lecture 16 Ethics of using AI
Lecture 17 Verification principle and hallucinations
Lecture 20 ChatPDF for overview
Lecture 21 Citation link with AI
Lecture 22 Organize your files
Section 4: The Methods and Results section
Lecture 23 Tips for writing the Design
Lecture 24 Writing the Experimental Task
Lecture 25 Experimental Task figures
Lecture 26 Tips for writing the EEG_ERP Methods
Lecture 27 How to report Results
Lecture 28 Important rules for Results
Lecture 29 Analyze data with the help of AI
Lecture 30 Tips for Electrophysiological Results
Section 5: The Discussion section
Lecture 31 What info should be in the Discussion
Lecture 32 Suggestions for writing the Discussion
Lecture 33 The structure
Lecture 34 Using ChatGPT for Discussion
Lecture 35 Abstract and title
Section 6: Finding journals, Cover Letter and Response to Reviewers
Lecture 36 Final Checks
Lecture 37 Tips for Journal Finding
Lecture 38 Publication metrics
Lecture 39 Potential red flags
Lecture 40 Necessary info in Cover Letter
Lecture 41 Revision Cover Letters
Lecture 42 Using AI for Cover Letter
Lecture 43 Responding to reviewers
Lecture 44 Last words
Section 7: Course Materials
Lecture 45 Course Materials
