Evidence map›Paper›PMID 33014180›Full record

ArticleCognitive neurodynamics2020

Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow.

Anis Yazidi, Asieh Abolpour Mofrad, Morten Goodwin, Hugo Lewi Hammer, Erik Arntzen

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cognitive neurodynamics, 2020. 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
3.6field-weighted citation impact, top 6% 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, 34 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

5 authors at 2 institutions in 1 country.

Anis Yazidi *Department of Computer Science, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0001-7591-1659
Asieh Abolpour Mofrad *Department of Computer Science, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0002-2148-3756
Morten GoodwinDepartment of Computer Science, University of Agder, Kristiansand, Norway.ORCID 0000-0001-6331-702X
Hugo Lewi HammerDepartment of Computer Science, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0001-9429-7148
Erik ArntzenDepartment of Behavioral Science, Oslo Metropolitan University, Oslo, Norway.ORCID 0000-0002-8471-1058
OsloMet – Oslo Metropolitan University · NOUniversity of Agder · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and difficulty of the tasks such that the learner experiences a state of

Indexed as

Adaptive task difficultyAdjusting delayed matching-to-sampleComputerized adaptive testingGame ranking systemsIntelligent tutoring systemOnline learningState of flowStochastic point location

Identifiers

PMID33014180
PMCPMC7501397
OpenAlexW3081581433

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.