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Table 1 Input and output variables

From: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course

Variable

Type

Description

Symbol

Input

Prerequisite knowledge

A student’s prerequisite knowledge and weekly test scores

\({\mathrm{PK}}_{\mathrm{s}}\)

Participation frequency

A student’s participation frequency in the group’s discussion

\({\mathrm{Par}}_{\mathrm{group}}\)

Discussion depth

Evaluation of a student’s discussion content depth; the depth is scored as superficial-level knowledge (SK), medium-level knowledge (MK), and deep-level knowledge (DK); a final weighted score was calculated as 1NSK + 2NMK + 3NDK, where N represents the occurrence frequency of a code)

\({\mathrm{Dep}}_{\mathrm{dis}}\)

Procedural performance

The instructor’s evaluation score of the group’s write-up

\({\mathrm{Perf}}_{\mathrm{write}}\)

Output

Learning effectiveness

A student’s weekly learning performance

\({\mathrm{Lrn}}_{\mathrm{eff}}\)