IB DP · Analysis & Prediction

2024 IB DP Digital society Past Paper Analysis

The May 2024 Digital Society Standard Level exam strikes a balanced notes between technical literacy and socio-ethical analysis. Key highlights include real-world case studies on robotic healthcare helpers, AI art, the digital divide, and Street View imagery.

Updated: 14 Jun 2026

Analysis Sample paper

Difficulty 3.2/5

Total marks

Duration

165 mins

Most tested

Networks and the internet

Paper breakdown

Paper 1 (Standard Level): 40 marks · 90 minsPaper 2 (Higher and Standard Level): 24 marks · 75 mins

Top chapters

Networks and the internet (Content) · 18 marksRobots and autonomous technologies (Content) · 12 marksValues and ethics (Concepts) · 12 marksEconomic (Contexts) · 12 marksArtificial intelligence (Content) · 10 marks

Difficulty Verdict

The May 2024 Digital Society Standard Level examination is a balanced, highly accessible assessment that tests students' ability to synthesize technological fundamentals with complex social, political, and ethical dilemmas. While the short-answer identification questions offer a soft entry point, the extended-response essays (the 8-mark questions in Paper 1 and the 12-mark synthesis in Paper 2) demand structured, stakeholder-driven analysis. The overall difficulty is moderate, rewarding candidates who can anchor their arguments with precise technical vocabulary rather than generic ethical commentary.

Where the Marks Are Won or Lost

High-achieving candidates secured top marks by showing a clear grasp of the 3Cs (Contexts, Content, Concepts) framework. In Paper 1, the 8-mark evaluative questions on AI art and service robots rewarded balanced arguments highlighting distinct opportunities and dilemmas. Conversely, many candidates dropped marks by failing to suggest realistic and specific countermeasures or by neglecting to explicitly reference stakeholders (e.g., patient autonomy vs. healthcare efficiency). In Paper 2, Question 3 (the 6-mark comparative question) proved to be a differentiator, where students who systematically contrasted the impacts of Street View Imagery (SVI) outperformed those who merely summarized Source C and Source D separately.

Common Examiner Pitfalls to Avoid

The 'Real-Time' Surveillance Misconception: Examiners noted that many students erroneously described Street View Imagery as a tool for live, real-time surveillance. SVI is inherently asynchronous and static.
Vague Definitions of Infrastructure: A persistent weakness was the inability to clearly distinguish between the physical medium of the Internet and the application-layer World Wide Web (WWW).
Lacking Algorithmic Detail: When asked for the characteristics of an algorithm, too many candidates gave loose descriptions like 'computer programs' instead of referencing 'unambiguous, step-by-step instructions with finite rules'.

Strategic Prep Recommendations

To prepare for future sets, students must practice writing balanced essays that analyze technologies from multiple viewpoints (developers, users, governments, and marginalized groups). When discussing open-source software, do not focus on the software's features; instead, focus on the collaborative community dynamics. Additionally, master the technical specifications of core topics like GPS trilateration and unsupervised machine learning, as these form the foundational evidence for your ethical arguments.

Future Predictions

Given the heavy focus on AI, Networks, and Robots in this series, future exams are highly likely to swing back toward Environmental Contexts (such as e-waste and energy consumption of data centers) and Political/Governance concepts. Candidates should also look out for scenarios involving virtual/augmented reality (VR/AR) and decentralized systems, which have been underrepresented in recent papers.

Charts

Marks by chapter

See where the marks were concentrated so revision time goes to the highest-value topics.

Question type mix

Compare the mark share of each paper section and question type.

Short Answer (Identify/Suggest)34 marks · 16 questions
Medium Answer (Explain/Distinguish)26 marks · 7 questions
Extended Response (Discuss/Evaluate)44 marks · 4 questions

Mark accessibility

Estimate which marks were basic, mid-level, or high-difficulty.

73%within easy or medium reach

easy: 36 marksmedium: 40 markshard: 28 marks

Difficulty trend

Compare difficulty across recent years.

Command word frequency

Spot common command words so answers match the expected response style.

Skill weighting

Shows the skill mix this paper tested most heavily.

Study ROI

Bigger bubbles recur more often; higher bubbles carry more marks, helping you rank revision priorities.

Networks and the internet

18 marks · Difficulty 2.5 · recurrence 90%

Economic (Contexts)

12 marks · Difficulty 2.8 · recurrence 75%

Robots and autonomous technologies

12 marks · Difficulty 3 · recurrence 80%

Values and ethics

12 marks · Difficulty 3.2 · recurrence 85%

Artificial intelligence

10 marks · Difficulty 3.5 · recurrence 95%

Time vs marks

Compare marks with suggested time allocation to plan exam pacing.

marksmins

Next-year prediction

Topics worth watching next year, with the reason shown directly below each bar.

Environmental (Contexts)90%

Not featured in the current SL paper despite being a high-volume topic in earlier HL rounds. High potential for e-waste or energy consumption themes.

Political (Contexts)80%

Partially touched via regulation in the finance question, but political campaigning and deepfakes remain highly overdue for a main feature.

Space (Concepts)75%

Not tested in standard level since the 2023 pilot rounds; digital physical divides in geographical spaces are ripe for testing.

Topic-year heatmap

Compare topic weight by year to spot recurring and returning areas.

May 2024 HL (TZ2)

May 2024 SL (TZ1)

May 2024 SL (TZ2)

Health (Contexts)

Robots and autonomous technologies (Content)

Systems (Concepts)

Computers (Content)

Artificial intelligence (Content)

Algorithms (Content)

Values and ethics (Concepts)

Networks and the internet (Content)

Social (Contexts)

Environmental (Contexts)

Examiner insights

Official report

Common pitfalls

Confusing Street View Imagery (SVI) with real-time surveillance (e.g., live CCTV or tracking).
Failing to distinguish between the physical infrastructure of the Internet and the application-layer World Wide Web (WWW).
Listing general advantages of software rather than focusing specifically on the open-source community dynamics.
Stating generic ethical issues without linking them directly to the specific stakeholders (e.g., patient, nurse, or artist).

Misconceptions

Believing that GPS satellites receive signals from devices, rather than devices calculating positions from satellite-broadcasted timing signals.
Assuming that blurring of private property is automatic, whereas only human faces and license plates are blurred automatically by default.

Where marks are lost

In Paper 2 Question 3, candidates lose marks by systematically analyzing Source C then Source D rather than comparing and contrasting them synthetically.
In Paper 1 evaluation questions, candidates often fail to include both opportunities and dilemmas, leading to unbalanced, lower-band responses.
Lacking precise technical vocabulary when describing algorithm characteristics, using vague phrases like 'it works' instead of 'unambiguous step-by-step rules'.

Estimated grade cut-off

Updated: 14 Jun 2026

Source: the IB (International Baccalaureate)

Level	Mark	Percentage
7	46/64	72%
6	39/64	61%
5	34/64	53%
4	27/64	42%
3	20/64	31%
2	10/64	16%
1	0/64	0%

Official grade boundaries published by the IB (International Baccalaureate).

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