TEA (test ariketen aztertzailea, "Test Exercises Examiner")

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Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

TEA is a visual learning analytics tool developed by Arruarte, Larrañaga, Arruarte, and Elorriaga to help teachers evaluate test-based exercises at item and overall-test levels.

Components

• TEA: a visual learning analytics tool for evaluating the quality of test-based exercises: TEA is a visual learning analytics tool introduced in the Festschrift paper by Arruarte, Larrañaga, Arruarte and Elorriaga from the University of the Basque Country. Per the introduction, "a visual learning analytics tool called TEA is introduced for evaluating the quality of test-based exercises, both at the item level and at the overall test level, to be used by teachers in determining the quality of their tests". The editors situate it among systems that inform actual teachers in real educational settings about important aspects of their interactions with students. (Gord McCalla · Julita Vassileva (2021))
• TEA – a Visual Learning Analytics tool for analyzing the quality of test-based exercises: TEA (test ariketen aztertzailea, "Test Exercises Examiner") is a teacher-oriented tool that uses Visual Learning Analytics to help instructors determine the appropriateness of test-based exercises. It analyzes performance at two granularity levels, each item and the whole test, using bar charts, circular charts and boxplots, and incorporates an alert mechanism highlighting suspicious tests or items. It can be used to supervise resource quality throughout a course or for retrospective analysis, and includes a guide describing each metric and plot for teachers who are not proficient in statistics. (Josu Arruarte et al. (2021))

Claims

• Item-level visualizations of discrimination index and discrimination efficiency led instructors to identify troublesome items and replace or modify them [+W]
• Boxplot visualizations enriched with correlation to final marks identified the same suspicious tests as the consistency metrics, and instructors modified two of them for the next academic year [+W]
• In a retrospective higher-education evaluation, instructors using TEA found low CIC values and unbalanced True Weights in three of the ten tests and marked them for further analysis [+W]

Related Products and Programmes

Key Sources

• Gord McCalla · Julita Vassileva. (2021). A Festschrift to Honour Jim Greer: Guest Editors’ Introduction — A Special Issue of the International Journal of Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education (2021) 31:337–356. https://doi.org/10.1007/s40593-021-00273-z
• Josu Arruarte, Mikel Larrañaga, Ana Arruarte & Jon A. Elorriaga. (2021). Measuring the Quality of Test-based Exercises Based on the Performance of Students. International Journal of Artificial Intelligence in Education, 31, 585–602. https://doi.org/10.1007/s40593-020-00208-0

Page metadata

Field	Value
type	product
id	tea-test-ariketen-aztertzailea-test-exercises-examiner
aliases	tea-test-exercises-examiner
title	TEA (test ariketen aztertzailea, "Test Exercises Examiner")
description	TEA is a visual learning analytics tool developed by Arruarte, Larrañaga, Arruarte, and Elorriaga to help teachers evaluate test-based exercises at item and overall-test levels.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-28
trust	unverified — no one has confirmed this page's content

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