Learning Analytics Unit for Monitoring Student Progress in AITS¶

Design · All designs
Evidence · no claims cited

Description¶

The Learning Analytics unit records, analyses and visualizes learning data related to students' activities, aiming to assist the tutor in understanding students' learning progress on search algorithms. It provides information on individual student performance, disaggregates by characteristics such as major and year of study, shows statistics and common errors, tracks hints requested, and uses data mining techniques to make predictions regarding student performance.

Design Implications¶

Context¶

Requirements¶

Student interaction data recorded and archived by the system
Automatic marking mechanism to provide grades

Constraints¶

Designed for search algorithm learning in the AITS context

Target Learners¶

Undergraduate computer science students

Learning Goals¶

Learning search algorithms

Claims¶

A4L Analytics Pipeline

Examples¶

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Key Sources¶

Grivokostopoulou, F., Perikos, I., & Hatzilygeroudis, I. (2016). An Educational System for Learning Search Algorithms and Automatically Assessing Student Performance. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-016-0116-x

Page metadata

Field	Value
`type`	`design`
`id`	`learning-analytics-unit-aits`
`title`	`Learning Analytics Unit for Monitoring Student Progress in AITS`
`description`	`The Learning Analytics unit records, analyses and visualizes learning data related to students' activities, aiming to assist the tutor in understanding students' learning progress on search algorithms.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-10-28`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `grivokostopoulou-2016`

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