Twinning in Environmental Data and Dynamical Systems Modelling for Latvia
Public data storage
TED4LAT Project Workshop, 26/09/2024
Twinning in Environmental Data and Dynamical Systems Modelling for Latvia (TED4LAT)
Workshop, venue: RTU Ķipsalas street 6, Riga, Room 117, date: 26/09/2024.
Educational datasets
Educational Datasets have been created using data collected from Moodle LMS. Each dataset has a linked teacher guide and comes in three different levels, Novice, Expert and Programmer. Novice and Expert data is intended for use with spreadsheet software, while Programmer data is intended for use with programming languages.
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Advanced LMS Dataset1 (LMS user behaviour data collection)
Advanced LMS eduactional dataset from Moodle LMS. This user behaviour data collection based on specific events triggered by Moodle user activities while interacting with Advanced LMS Lesson components. This includes events as follows: 1) Lesson content item opened, 2) Multiple choice question opened, 3) Multiple choice question submitted. Data is collected includes content and user id, timestamp, selected answer for multiple choice questions, and other content specific variables.Advanced LMS_dataset1.xlsx (xlsx, 584.65 KB)
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This dataset represents user behaviour while browsing Moodle LMS content built using Advanced LMS Lesson activities.
This data was collected by logging specific events and their timestamps triggered by Moodle user activities while interacting with learning content.
There are three types of events Advanced LMS Lessons are triggering. This includes events as follows:
1) Lesson content item opened,
2) Multiple choice question opened,
3) Multiple choice question submitted.Data is collected includes general and event specific parameters:
General parameters:
ID: entry identification identifier
Timestamp: UNIX timetamp of the event
Courseid: uniue identifier of course
Sectionid: ID of the selected learning object
Sectionname: Title of the selected learning object
CM_object: properties of the related learning objectEvent specific parameters:
Multiple choice question opened/submitted
multichoice_result: data object
selected answer (json formatted) for multiple choice questions, and other content specific variables.
Dataset 1 for publication: Human - Environment interactions and well-being monitoring: a Systematic Review
On 11 December 2023 we used predefined keywords in title, abstract and keywords section:
(well-being OR wellbeing )
AND ( spatial OR geospatial OR geographic* )
AND ( "human environment" OR "human-environment" OR "human ecosystem" OR "human nature" OR "human-nature" OR "social ecological" OR "social-ecological" OR "socio-ecological" )
AND ( monitor* OR measur* OR evaluat*)
Dataset 2 for publication: Human - Environment interactions and well-being monitoring: a Systematic Review
On 11 March and 13 March 2024 we added keyword “indicat*” to search string:
(well-being OR wellbeing )
AND ( spatial OR geospatial OR geographic* )
AND ( "human environment" OR "human-environment" OR "human ecosystem" OR "human nature" OR "human-nature" OR "social ecological" OR "social-ecological" OR "socio-ecological" )
AND ( monitor* OR measur* OR evaluat* OR indicat*)
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After adding keyword “indicat*” to search string 85 records were found in the Web of Science database:
Sensors dataset
This dataset was generated in STARGATE project with the participation of EcoIGM, dataset was prepared for publication in the TED4LAT project. Contributors ir Ginta Majore and Ivars Majors.
Funding: HORIZON EUROPE Framework Programme 101079206, Licence: CC BY 4.0