Work

Automated adaptive testing vs. linear testing in undergraduate mathematics

Year: 2024

Type: article

Study designs: Randomized Controlled Trial, Clinical Trial

Abstract: We conduct a lab-based randomized controlled trial with 47 undergraduate students in mathematics, comparing an automated adaptive testing system, which adjusts difficulty based on performance, to traditional linear tests. Results shows that students using the adaptive test scored 26.2 percentage points higher on a subsequent exam than those in the linear test group (p < 0.05). Feedback indicate that participants found the system user-friendly, believed it could improve their performance, and valued the tailored feedback, particularly guidance on focus areas.

Source: Norsk IKT-konferanse for forskning og utdanning

DOI: 10.5324/nikt.6214

Authors: Øyvind Aas, Wasana Leithe

Institution: Høyskolen Kristiania

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4404828241

FWCI:

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