Systematic Literature Review on Storytelling in Computer Science Education, 2018-2023

A systematic literature review analyzes 68 peer-reviewed studies on storytelling in computer science education published between 2018 and 2023. The review uses a hybrid methodology combining AI-assisted summarization and human validation to address six research questions on trends, approaches, and outcomes. It was authored by Bogdan Iudean and is available as a PDF document.

Use Cases

• Identify publication trends and research gaps in storytelling for computing education based on the analyzed corpus of 68 studies.
• Compare the effectiveness of digital/multimedia storytelling versus traditional formats based on the review's findings.
• Design pedagogical interventions targeting engagement and comprehension in programming and computational thinking based on reported outcomes.
• Plan curriculum integration strategies while anticipating technical and implementation challenges highlighted in the review.

Strengths

• The review is based on 68 peer-reviewed studies, providing a substantial evidence base.
• Analysis covers a defined five-year time range from 2018 to 2023.
• Methodology is described as a hybrid approach using AI-assisted summarization and human validation.
• The document is openly licensed under CC-BY-4.0.

Limitations

• The dataset is a single 535.3 KB PDF file; its scope is limited to the review document itself.
• Row count and column-level documentation are absent; the internal structure of the review's data is not specified.
• The description does not provide details on the specific coding framework or raw data used for the analysis.

Provenance

Source

figshare

Collection Method

Systematic literature review using a hybrid AI-human methodology.

Time Range

2018 to 2023

Freshness

Last updated 2026-05-30 15:14:10