Evidence map›Paper›PMID 33546167›Full record

ArticleSensors (Basel, Switzerland)2021

Applying Learning Analytics to Detect Sequences of Actions and Common Errors in a Geometry Game.

Manuel J Gomez, José A Ruipérez-Valiente, Pedro A Martínez, Yoon Jeon Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 24 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Manuel J GomezFaculty of Computer Science, University of Murcia, 30008 Murcia, Spain.
José A Ruipérez-ValienteFaculty of Computer Science, University of Murcia, 30008 Murcia, Spain.ORCID 0000-0002-2304-6365
Pedro A MartínezFaculty of Computer Science, University of Murcia, 30008 Murcia, Spain.
Yoon Jeon KimPlayful Journey Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Massachusetts Institute of Technology · USUniversidad de Murcia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Games have become one of the most popular activities across cultures and ages. There is ample evidence that supports the benefits of using games for learning and assessment. However, incorporating game activities as part of the curriculum in schools remains limited. Some of the barriers for broader adoption in classrooms is the lack of actionable assessment data, the fact that teachers often do not have a clear sense of how students are interacting with the game, and it is unclear if the gameplay is leading to productive learning. To address this gap, we seek to provide sequence and process mining metrics to teachers that are easily interpretable and actionable. More specifically, we build our work on top of

Indexed as

educational gamesgame-based assessmentlearning analyticssequence miningvisualization dashboard

Identifiers

PMID33546167
PMCPMC7913236
OpenAlexW3128442208

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.