Evidence map›Paper›PMID 35095248›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2022

The role of goal orientations and learning approaches in explaining digital concept mapping utilization in problem-based learning.

Dorit Alt, Alfred Weinberger, Karin Heinrichs, Lior Naamati-Schneider

Abstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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.

Dorit AltKinneret College on the Sea of Galilee, Tzemach Junction, 15132 Jordan Valley, MP Israel.ORCID 0000-0001-9269-8896
Alfred WeinbergerPrivate Pädagogische Hochschule der Diözese Linz, Private University of Education, Diocese Linz, Salesianumweg 3, 4020 Linz, Austria.
Karin HeinrichsUniversity of Teacher Education Upper Austria, Kaplanhofstr. 40, 4020 Linz, Austria.
Lior Naamati-SchneiderHadassah Academic College, 37 Hanevi'im St., 9101001 Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concept mapping has received increasing attention and application in higher education as an effective instructional strategy. However, little is known about how higher-education students' different motivations for learning might be related to the way they use digital concept mapping for effective learning. This study sought to design and assess an intervention program that employs digital concept mapping in problem-based learning and to evaluate the effectiveness of using this tool among students with different achievement-goal profiles on learning and deep versus surface approaches to learning. Data were collected from 129 undergraduate students from three higher-education institutions located in Israel and Austria and analyzed by using Partial Least Squares - Structural Equation Modeling. The findings indicated that digital concept mapping could benefit higher-education students, specifically at the cognitive level, in order to specify and identify the interrelationships among arguments and to learn about the topic. Another finding showed that deep learners and mastery-approach learners perceived concept mapping as an effective tool mainly for self-regulating their learning during the intervention. It is suggested to find ways to scaffold surface learners' involvement in activities that enable them to solve complex problems by underlining the benefits of technology-enabled platforms for their learning and thus have them acknowledge concept mapping as a practice that fosters meaningful learning

Indexed as

Achievement-goal theoryDeep and surface learningDigital concept mapping

Identifiers

PMID35095248
PMCPMC8784209

What OpenQuestion holds

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Registered trials

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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.