Grade Prediction in Blended Learning Using Multisource Data

Table 3

Description of the rain classroom data.

Type	Field	Data description	Example
Essential information	Name	Student information	San Zhang
	Student ID	Student information	20XX21123XXX
	Total points	Total results in rain classroom (full marks are different)	100
	Sign-in times	Total number of classroom check-ins	11
	Access rate	Class check-in rate (percentage)	100%
Preview before class	Number of announcements read	Number of readings of published announcements	15
	Total number of pages viewed	Number of viewing pages of the pushed courseware	10
	Total viewing time length	Watching time of the pushed courseware XX h, XX m, XX s	00 h, 00 m, 00 s
	Finish time	Time to complete the courseware preview YYYY:MM:DD HH:MM:SS or completion status	Time/no preview/not completely finish
	Answer score	The score of the pushed courseware exercises	10
Classroom performance	Sign-in mode	The score of the pushed courseware exercises	Not signed in/scan the code to sign in
	Barrage releases	Number of barrage releases	0
	Accumulated score	Integration of classroom performance scores	10