2026-10-06T05:09:18Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34022187 2026-09-29T09:27:24Z category_29794 category_26179 item_type_3 month_year_09_2026

Cryptography-Based Mathematics Instruction: Anonymized Quantitative Dataset Sari Muthia Silalahi (25136064) Nasib Tua Lumban Gaol (25136210) Grace Yosheva (25136196) Romaito Agustina Silaen (25136200) Agus P Marpaung (25136203) Mathematical aspects of general relativity Educational technology and computing cryptography education mathematics education digital ethics digital security literacy cybersecurity education digital literacy discrete mathematics secondary education mixed-methods research anonymized dataset <p dir="ltr">This dataset contains anonymized quantitative data supporting the study entitled “Cryptography-Based Mathematics Instruction to Enhance Students’ Digital Ethics and Digital Security Literacy: A Mixed-Methods Study.”</p><p dir="ltr">The dataset contains item-level pretest and post-test responses for Digital Ethics and Digital Security Literacy, together with cognitive-test scores from tenth-grade students participating in the study. The final analytic sample consists of 64 students: 32 students in the experimental group and 32 students in the control group.</p><p dir="ltr">The Digital Ethics instrument contained 20 items. Item 11 was excluded from final construct scoring, resulting in 19 scored items. The Digital Security Literacy instrument contained 21 items. Items 1 and 12 were excluded from final construct scoring, resulting in 19 scored items.</p><p dir="ltr">The cognitive test assessed modular arithmetic, matrix representation, and Caesar/Vigenère cipher encryption and decryption. The overall cognitive score was recorded on a 0–100 scale, with three supporting indicators scored on a 0–4 rubric.</p><p dir="ltr">Participant identifiers in the dataset are represented using anonymized participant codes rather than participant names.</p><p dir="ltr">Qualitative interview transcripts, recordings, and related interview materials are not included in this dataset and are not publicly shared because they contain privacy-sensitive information, potentially identifiable information, and participants’ personal opinions or experiences. These qualitative materials are therefore treated as restricted research data.</p><p dir="ltr">A README and data codebook are included with the dataset to document the study design, participant coding, variable structure, scoring rules, analytical sample, and data-privacy considerations.</p> 2026-09-29T09:27:24Z Dataset Dataset 10.6084/m9.figshare.34022187.v1 https://figshare.com/articles/dataset/Cryptography-Based_Mathematics_Instruction_Anonymized_Quantitative_Dataset/34022187 CC BY 4.0