Serial Concept Mapping Data from 258 Students in a Human–Computer Interaction Course

Rian Fitriansyah's dataset contains quantitative data from a study on the Kit-Build Concept Map system. The data were collected from 258 undergraduate students over a three-week instructional period in a human–computer interaction course. It includes pre-test, post-test, prior knowledge, and weekly concept map scores, along with sub-map discrepancy and cross-link data.

Use Cases

• Evaluating changes in student performance based on pre-test and post-test scores.
• Analyzing the alignment of learner-generated concept maps with expert maps using concept map scores.
• Tracking the reduction of map gaps over time using sub-map discrepancy data.
• Investigating the relationship between cross-link identification and student performance using cross-link scores.

Strengths

• Data from 258 undergraduate students provides a substantial sample size.
• Longitudinal data collected over a three-week instructional period.
• Includes multiple assessment types: pre-test, post-test, prior knowledge, and weekly concept map scores.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Week 2 data for general misconceptions is not included.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Rian Fitriansyah via figshare

Collection Method

Collected from a study in a human–computer interaction course.

Time Range

Data collected over a three-week instructional period.

Freshness

Last updated 2026-05-01 01:32:08; freshness should be verified.

Geography

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