Students at risk of missing assignment due dates

Maintained by David Monllaó
This Moodle plugin adds a new predictive model to identify students that are likely to miss assignment due dates. The model automatically generates insights for teachers about these students.
Price option: Free

Supports Moodle 3.4-3.7 See all versions
Latest release: 7 years ago
Installations: 16
Downloads (last 90 days): 31

Frankenstyle name: local_latesubmissions
Local plugins

Stats

Installations

Number of sites this plugin is installed on: 16

Number of sites
2019-03 6
2019-04 11
2019-05 17
2019-06 19
2019-07 24
2019-08 27
2019-09 24
2019-10 28
2019-11 25
2019-12 25
2020-01 31
2020-02 29
2020-03 29
2020-04 27
2020-05 29
2020-06 33
2020-07 34
2020-08 37
2020-09 35
2020-10 33
2020-11 35
2020-12 34
2021-01 38
2021-02 34
2021-03 33
2021-04 32
2021-05 41
2021-06 38
2021-07 40
2021-08 37
2021-09 31
2021-10 35
2021-11 31
2021-12 35
2022-01 33
2022-02 30
2022-03 29
2022-04 27
2022-05 28
2022-06 30
2022-07 28
2022-08 26
2022-09 27
2022-10 27
2022-11 29
2022-12 27
2023-01 30
2023-02 29
2023-03 27
2023-04 26
2023-05 25
2023-06 21
2023-07 22
2023-08 24
2023-09 23
2023-10 24
2023-11 23
2023-12 23
2024-01 25
2024-02 23
2024-03 22
2024-04 23
2024-05 21
2024-06 23
2024-07 27
2024-08 22
2024-09 19
2024-10 19
2024-11 21
2024-12 22
2025-01 20
2025-02 19
2025-03 19
2025-04 18
2025-05 19
2025-06 17
2025-07 18
2025-08 18
2025-09 17
2025-10 18
2025-11 21
2025-12 18
2026-01 18
2026-02 20
2026-03 15
2026-04 16
2026-05 15
2026-06 16

Number of sites this plugin is installed on (by Moodle version):

Number of sites
5.1 1
5.0 2
4.5 2
4.3 1
4.2 1
4.1 2
4.0 1
3.9 2
3.8 1
3.7 3

Downloads

Total downloads in last 90 days: 31

Monthly downloads:

Downloads
2025-07 10
2025-08 1
2025-09 5
2025-10 0
2025-11 1
2025-12 1
2026-01 9
2026-02 2
2026-03 0
2026-04 9
2026-05 19
2026-06 4

Version downloads (by month):

2017111300 2017111301 2019052000
Jul 2025 1 4 5
Aug 2025 0 1 0
Sep 2025 0 2 3
Oct 2025 0 0 0
Nov 2025 0 0 1
Dec 2025 0 0 1
Jan 2026 2 4 3
Feb 2026 0 1 1
Mar 2026 0 0 0
Apr 2026 0 4 5
May 2026 0 10 9
Jun 2026 1 1 2