Exploring the impact of intelligent learning tools on students’ independent learning abilities: a PLS-SEM analysis of grade 6 students in China — TEI-tagged view

Pan, Qin, Zhang, Lou, Yu, Yang · 2023 · education · doi:10.1057/s41599-023-02065-3 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. Replication status is 'replicated' in the paper's own terms: it states its two main findings align with named earlier surveys (Radha et al., Prasetyanto et al.; Dai et al., Alzahrani et al.). Claim type is mechanism because the headline result is a mediation path (satisfaction fully mediates interaction quality's effect on intention to use); the paper also reports one hypothesis that failed, quoted for the record: "However, this study found that the interaction quality of intelligent learning tools had no significant impact on intention to use (H2)." method is coded observational-study because the design is a cross-sectional convenience-sample questionnaire analysed with structural equation modelling, with no intervention; 'survey' is not in the facet vocabulary. Tables 1 and 4-10 are partly scrambled by the PDF extraction (numbers detached from row labels); no facet quotes were drawn from them. 2026-08-14 and 2026-08-15 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Other fields define these differently the same word, defined another way in another discipline
variance inflation factor 3 fields · bootstrap 2 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
common method bias information quality Harman’s single-factor test interaction quality intention to use satisfaction independent learning ability observational-study83

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonintention to use intelligent learning tools and independent learning ability— “The purpose of this study was to investigate the influence of interaction quality and information quality of intelligent learning tools on students’ satisfaction and intention to use these tools, as well as to examine the relationship between the intention to use intelligent learning tools and students’ independent learning abilities.”
claim-typemechanism— “From Table 10, it is evidenced that satisfaction with tools could fully mediate the influence of interaction quality on intention to use.”
method — evidence— “The study utilized Smart-PLS 3, a Partial Least Squares Structural Equation Modeling (PLS-SEM), to analyze data collected from 384 Grade 6 students in China.”
transferfrom information systems research: The information-quality construct and its role as a determinant of satisfaction and use are taken from the DeLone and McLean model of information systems success and applied to primary-school learning tools— “As part of the DeLone and McLean model (D&M) of information systems success, information quality was often used to measure system quality (DeLone and McLean, 2003).”transfers[0]
mechanismWillingness to use the tools raises how often students actually use them, and sustained repeated use over time creates the conditions under which independent learning abilities develop— “The cultivation of independent learning abilities couldn’t be achieved overnight, but students’ willingness to use intelligent learning tools could facilitate their continuous use, which created conditions for the development of independent learning abilities.”mechanisms[0]
mechanismBecause current tools are built mainly for one-way knowledge delivery (microlectures, reading materials, practice exercises, problem-solving reviews), their interaction features do not directly stimulate usage intention and instead act only by raising satisfaction— “One possible explanation for this result was that current intelligent learning tools primarily focus on knowledge dissemination through learning activities such as watching microlectures, reading learning materials, completing practice exercises, and reviewing problem-solving processes.”mechanisms[1]
mechanismInteraction with classmates, teachers and the system converts into usage intention only indirectly, by first increasing students' satisfaction with the tool— “Instead, this intention was achieved by enhancing students’ satisfaction with the tools.”mechanisms[2]
replicates Radha et al. (2020); Prasetyanto et al. (2022)— “These results aligned with previous surveys conducted by Radha et al. (2020) and Prasetyanto et al. (2022), which demonstrated that the use of intelligent learning tools improved students’ independent learning abilities.”claim_relations[0]
replicates Dai et al. (2020); Alzahrani et al. (2022)— “This finding was consistent with the research conducted by Dai et al. (2020) and Alzahrani et al. (2022), who also reported that the interaction quality had the least impact on students’ willingness to use online tools.”claim_relations[1]
sensecommon method bias - operationalised as whether one factor exceeds half the variance, so 'no bias' here means 'below a conventional cut', not 'absent'— “the Harman’s single-factor test was conducted using SPSS 26 to examine the issue of common method bias. The largest factor accounted for 46.127% of the variance, which was below the threshold of 50%”senses[0]
senseinformation quality - defined by reference to the USER's need rather than by a property of the information, so two users of the same system can differ on it— “Information quality refers to the information provided by the system that was exactly what you need”senses[1]
senseimpact - the paper uses it for two different things in one sentence: a DIRECT path that must clear significance, and an INDIRECT influence through a mediator that need not. Interaction quality has the second and not the first— “The results of the study showed that (a) intention to use intelligent learning tools had a significant and direct impact on students’ independent learning abilities; (b) interaction quality did not have a significant impact on intention to use, but information quality and satisfaction with the tools did have an impact on intention to use; (c)…senses[2]
controlA PROCEDURAL SAFEGUARD, NOT AN EXPERIMENTAL ARM: collinearity among the predictor constructs checked by variance inflation factor before the structural model is evaluated, against a threshold of VIF < 5 — held — rules out collinearity as a distorter of the path coefficients - correlated predictors make individual paths unstable in sign and size, so a reported structural effect could be an artefact of the predictors overlapping rather than of the model— “Before evaluating the structural model, collinearity must be examined to ensure that regression results are not affected.”controls[0]
auditinteraction quality —causes→ satisfaction — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span writes 'ITQ -> ST 0.519***'; endpoints abbreviated, a path coefficient.— “Hypotheses H1 H2 H3 H4 H5 H6 Paths ITQ → ST 0.519*** ITQ → IU 0.097NS IFQ → ST 0.282*** IFQ → IU 0.165*** ST → IU 0.617*** IU → ILA 0.727***”concept_edges[0]
noteinteraction quality —causes→ satisfaction — The strongest exogenous path in the model, 0.519***, and it is the one that carries interaction quality's whole effect - see the unhoused row for the direct path it does NOT have.— “Hypotheses H1 H2 H3 H4 H5 H6 Paths ITQ → ST 0.519*** ITQ → IU 0.097NS IFQ → ST 0.282*** IFQ → IU 0.165*** ST → IU 0.617*** IU → ILA 0.727***”concept_edges[0]
weightinteraction quality —causes→ satisfaction — 0.9— “Hypotheses H1 H2 H3 H4 H5 H6 Paths ITQ → ST 0.519*** ITQ → IU 0.097NS IFQ → ST 0.282*** IFQ → IU 0.165*** ST → IU 0.617*** IU → ILA 0.727***”concept_edges[0]
auditsatisfaction —causes→ intention to use — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span writes 'ST -> IU 0.617***'; endpoints abbreviated, a path coefficient.— “Hypotheses H1 H2 H3 H4 H5 H6 Paths ITQ → ST 0.519*** ITQ → IU 0.097NS IFQ → ST 0.282*** IFQ → IU 0.165*** ST → IU 0.617*** IU → ILA 0.727***”concept_edges[1]
weightsatisfaction —causes→ intention to use — 0.9— “Hypotheses H1 H2 H3 H4 H5 H6 Paths ITQ → ST 0.519*** ITQ → IU 0.097NS IFQ → ST 0.282*** IFQ → IU 0.165*** ST → IU 0.617*** IU → ILA 0.727***”concept_edges[1]
noteintention to use —causes→ independent learning ability — 0.727***, the largest coefficient in the model and the paper's headline claim.— “The results of the study showed that (a) intention to use intelligent learning tools had a significant and direct impact on students’ independent learning abilities; (b) interaction quality did not have a significant impact on intention to use, but information quality and satisfaction with the tools did have an impact on intention to use; (c)…concept_edges[2]
weightintention to use —causes→ independent learning ability — 0.9— “The results of the study showed that (a) intention to use intelligent learning tools had a significant and direct impact on students’ independent learning abilities; (b) interaction quality did not have a significant impact on intention to use, but information quality and satisfaction with the tools did have an impact on intention to use; (c)…concept_edges[2]
auditinformation quality —causes→ intention to use — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span writes 'IFQ -> IU 0.165***'; endpoints abbreviated, a path coefficient.concept_edges[3]
differs ininformation quality —causes→ intention to use — WHETHER A DIRECT PATH SURVIVES AT ALL: information quality keeps one (0.165***) while interaction quality does not (0.097, non-significant), even though interaction quality has the stronger route into satisfaction (0.519 against 0.282). Reaching the outcome and reaching it DIRECTLY are different questions and this model separates themconcept_edges[3]
weightinformation quality —causes→ intention to use — 0.7concept_edges[3]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — the population every result speaks for: THE SAMPLES WERE ONLY FROM ONE SCHOOL, SO THE SCOPE WAS LIMITED AND MAY NOT BE REPRESENTATIVE
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[0]
for which uselimitation — the interaction-quality finding: IT DID NOT SPECIFY THE TYPE OF INTERACTION BEING MEASURED, which may mask differing effects
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[1]
for which uselimitation — the claim that common method bias is not a problem here: it rests on the largest factor accounting for 46.127% of variance against a 50% threshold
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[2]
for which uselimitation — the statement that this model fits: the fit indices are compared with
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[3]
for which uselimitation — information quality as a property of the system: it is defined as the system providing exactly what the user needs, which makes it relative to the user
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[4]
replicationreplicated
no type for thisinteraction quality → intention to use — A PATH THE PAPER TESTED AND DID NOT FIND: 'interaction quality did not have a significant impact on intention to use', coefficient 0.097 marked NS in the structural table. NO EDGE TYPE CAN ASSERT THAT A RELATION IS ABSENT, and this is one of the study's three headline results. Second instance in two consecutive papers - arthur2022's full mediation is the same shape from the other side.
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
unhoused_relations[0]
limitationAll respondents came from a single school, limiting representativeness.
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limitations[0]
limitationThe interaction-quality construct was not broken down by type of interaction, which may mask differing effects.
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limitations[1]
limitationA verdict of no bias is produced by a conventional cut, and the observed value sits under it by less than four percentage points.
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limitations[2]
limitationModel fit is judged against cut-offs taken from another paper rather than derived for this design.
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[3]
limitationThe central construct is defined by citation, in terms of what the user happens to need.
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
limitations[4]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingIntention to use intelligent learning tools directly predicted independent learning ability, information quality and satisfaction predicted intention to use, but interaction quality did not directly predict intention to use and instead worked through satisfaction.
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content_tags.findings[0]
findingIntention to use was a strong positive predictor of independent learning ability, accounting for over half its variance.
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content_tags.findings[1]
findingInteraction quality had no significant direct influence on intention to use.
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content_tags.findings[2]
findingSatisfaction with the tools fully mediated the effect of interaction quality on intention to use.
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content_tags.findings[3]
findingSatisfaction partially mediated the effect of information quality on intention to use.
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content_tags.findings[4]
findingStudents rated the tools' information quality (M = 4.02) higher than their interaction quality (M = 3.88).
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content_tags.findings[5]
quantity384 — valid questionnaires collected from Grade 6 students in Hangzhou, China
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content_tags.quantities[0]
quantityβ = 0.727 — path coefficient from intention to use to independent learning ability
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content_tags.quantities[1]
quantity46.127% — variance captured by the largest single factor in Harman's test, below the 50% common-method-bias threshold
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content_tags.quantities[2]
quantity0.174 — indirect effect of information quality on intention to use via satisfaction
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content_tags.quantities[3]
quantityM = 3.82 — mean score for students' self-reported independent learning abilities
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content_tags.quantities[4]
quantity0.672 and 0.804 — range of HTMT values, all below 1, supporting discriminant validity
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content_tags.quantities[5]
variableinteraction quality and information quality of intelligent learning tools (independent)
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content_tags.variables[0]
variableindependent learning ability (dependent)
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content_tags.variables[1]
variablesatisfaction with tools (mediator)
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content_tags.variables[2]
definitionintelligent learning tools
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content_tags.definitions[0]
definitioninformation quality
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content_tags.definitions[1]
definitionsatisfaction with tools
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content_tags.definitions[2]
definitionintention to use
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content_tags.definitions[3]
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptcommon method bias
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concepts[0]
conceptinformation quality
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concepts[1]
conceptHarman’s single-factor test
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concepts[2]
conceptinteraction quality
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concepts[3]
conceptintention to use
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concepts[4]
conceptsatisfaction
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concepts[5]
conceptindependent learning ability
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concepts[6]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
structural equation modeling (PLS-SEM) as written: Partial Least Squares Structural Equation Modeling (PLS-SEM)
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content_tags.statistics[0]
Cronbach's alpha α as written: Cronbach’s alpha and composite reliability
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content_tags.statistics[1]
average variance extracted AVE as written: average variance extracted (AVE)
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content_tags.statistics[2]
Heterotrait-Monotrait ratio HTMT as written: HTMT assessment
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content_tags.statistics[3]
Harman's single-factor test
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content_tags.statistics[4]
bootstrap as written: 5000 samples were repeatedly sampled by bootstrapping
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content_tags.statistics[5]
variance inflation factor VIF as written: inner VIF values
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content_tags.statistics[6]
cross-validation (blindfolding predictive relevance) Q2 as written: minimum Q2 value
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content_tags.statistics[7]
coefficient of determination R2 as written: R2 = 0.531
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content_tags.statistics[8]
Likert scale as written: five-point Likert scale
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content_tags.statistics[9]
mediation analysis as written: indirect effect
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content_tags.statistics[10]

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