BLM1005 & BLM1030 Gamification Data
Year: 2026
Type: dataset
Abstract: This dataset contains anonymized and aggregated data used in the study investigating the impact of an Octalysis-driven gamification framework in large-scale introductory programming courses for non-computer science engineering students. The dataset includes: · Aggregated survey responses regarding motivational preferences for gamification elements, · Persona transition counts between two consecutive semesters, · Cumulative motivational weights derived from student-reported preferences. All data have been anonymized and aggregated at the group level. No personally identifiable information (PII), raw individual-grade records, or sensitive academic data are included. The dataset is provided solely for transparency, reproducibility, and secondary analytical purposes. The structure of the dataset allows replication of descriptive statistics, persona transition analysis, and cumulative motivational weight calculations reported in the manuscript. The dataset does not include raw exam papers, detailed grade breakdowns, or institutional records.
Author: Ozturk, Savas
Institutions: TUBITAK BILGEM, Marmara University
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7130847002