SNNUMlog

Citation Author(s):
Jianyu
Zhao
Shaanxi Normal University
Longjiang
Guo
Shaanxi Normal University
Pu
Li
Shaanxi Normal University
Jin
Li
Shaanxi Normal University
Submitted by:
Jianyu Zhao
Last updated:
Mon, 05/22/2023 - 01:48
DOI:
10.21227/rrfp-j372
Data Format:
License:
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Abstract 

The SNNUMlog is the learning context data, which around 50 volunteers collected. It includes the learner name, nine learning contexts, learner arrival time, learner floor, learner longitude, learner latitude, learner altitude, collection device, weather type, and sensor data related to 73 types. Learning contexts in the mobile learning context dataset involve nine common learning contexts in the university campus, namely: classroom, laboratory, dormitory, library, canteen, gymnasium, outdoors, supermarket, and stadium. It is important to note that before data collection, a virtual id is created for each volunteer to identify the volunteer in order to protect the privacy of volunteers.

Instructions: 

1.raw_data:

(1) 2022Nov-Dec:

the effective data of mobile learning contexts for around 41 learners from 2022-11-28 to 2022-12-21.

(2) 2021Sep-Dec.csv:

the dataset of mobile learning contexts for around 25 learners from 2021-9-28 to 2021-12-6. It is noted that part of these learners is also part of the above 41 learners in 2022 Nov-Dec.

(3) no time.csv:

the mobile learning contexts data without time, it can be used to test the model for recognizing and classifying the mobile learning contexts and so on.

2.process_data:

the precess_data is the data that the raw data was removing some attributes and every file is grouped by learner name. It includes the learner name, nine learning contexts, learner arrival time, learner floor, learner longitude, learner latitude, learner altitude, collection device, weather type, and sensor data related to 73 types.