Research & Paragraph Writing Tips

Academic Research Basics

  • Begin with university library resources; supplement with local libraries.
  • Use Google Scholar & web searches only after verifying source authority.
  • Wikipedia = starting point, not endpoint; check “Talk” tab & reference list, then move to original sources.

Evaluating & Refining Sources

  • Favour: academic books (university presses), refereed journal articles, chapters in edited volumes.
  • Start broad, then narrow: add keywords & restrict publication date to last 551010 years.
  • Library database tips:
    • Apply “Refine my results” filters (date, subject, peer-reviewed).
    • Example: "Hofstede dimensions criticism" lowers results & surfaces targeted papers.
  • Mine bibliographies of recent works; follow authors’ other publications.
  • Library access usually bypasses paywalls that appear in Google Scholar.
  • Keep a record of search steps to demonstrate research development.

Generative AI Considerations

  • Universities discourage AI-generated content that replaces original thinking.
  • Acceptable use: grammar polishing; avoid for style & substantive text—accuracy, depth, and non-English coverage are weak.
  • Over-reliance risks plagiarism allegations and dull, repetitive prose.

Referencing

  • Paper uses APA; other courses may differ—stay consistent.
  • Accurate, complete references signal rigorous research; sloppy lists undermine credibility.
  • Consult library’s referencing guides for formatting rules.

Effective Paragraph Writing

  • Use clear, direct sentences; correct homophones (its/it’s, your/you’re, their/they’re).
  • Prefer active voice; minimize passives.
  • Delete vague fillers: "this", "these", "those", "it seems", "in fact", etc.
  • Maximize strong verbs; limit strings of adjectives.
  • Edit ruthlessly: compress verbose drafts into concise statements, freeing space for more ideas.
  • Replace weak phrases with precise verbs (e.g., "revolutionized" vs. "created change").
  • Good editing is a writer’s task; AI struggles with nuance and concision.