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

Pan, Qin, Zhang, Lou, Yu, Yang · Humanities and Social Sciences Communications · 2023 · education · 10.1057/s41599-023-02065-3 · record pan2023-exploring-the-impact-of-intelligen
tag layer · index · concepts · authors · עברית
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.
How to read this page. The article itself is not reproduced here — this paper is not cleared for redistribution, so what follows is the tag layer alone. The evidence sentences are withheld with the article. The table at the foot lists every tag the record carries; each row names the facet it belongs to, and the whose words column says whether the tag records the paper's own wording or the tagger's sentence about the paper. Every tag links to each other paper in the corpus carrying it. The machine-readable edition of the same thing is the TEI file beside this one, where the tags live in standOff, and the article is at its publisher via the link below. When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.
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, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 7 concept tags on this paper, all 7 are grounded in a quoted sentence.
common method bias information quality Harman’s single-factor test interaction quality intention to use satisfaction independent learning ability Willingness 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 Because 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 Interaction with classmates, teachers and the system converts into usage intention only indirectly, by first increasing students' satisfaction with the tool intelligent learning tools satisfaction with tools interaction quality and information quality of intelligent learning tools structural equation modeling (PLS-SEM) Partial Least Squares Structural Equation Modeling (PLS-SEM) Cronbach's alpha Cronbach’s alpha and composite reliability average variance extracted average variance extracted (AVE) Heterotrait-Monotrait ratio HTMT assessment Harman's single-factor test bootstrap variance inflation factor inner VIF values cross-validation (blindfolding predictive relevance) coefficient of determination Likert scale five-point Likert scale mediation analysis indirect effect observational-study

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relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
phenomenonphenomenonthe effect or regularity under study
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field
unrecordable relationunhoused_relationsa relation the paper asserts that this vocabulary cannot express, with the reason

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1057/s41599-023-02065-3. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 2 · claim_type 1 · concept_edges 4 · concepts 7 · content_tags 30 · controls 1 · limitations 5 · mechanisms 3 · method 1 · phenomenon 1 · senses 3 · transfers 1 · unhoused_relations 1

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; none of 4 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
claim_typemechanism
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claim_typethe paper's words
phenomenonintention to use intelligent learning tools and independent learning ability
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phenomenonthe paper's words
methodobservational-study
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methodthe paper's words
mechanismsmechanisms
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mechanisms[0]the tagger's words
mechanismsmechanisms
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mechanisms[1]the tagger's words
mechanismsmechanisms
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mechanisms[2]the tagger's words
limitationsAll respondents came from a single school, limiting representativeness.
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what this limits: the population every result speaks for: THE SAMPLES WERE ONLY FROM ONE SCHOOL, SO THE SCOPE WAS LIMITED AND MAY NOT BE REPRESENTATIVE
limitations[0]the tagger's words
limitationsThe interaction-quality construct was not broken down by type of interaction, which may mask differing effects.
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what this limits: the interaction-quality finding: IT DID NOT SPECIFY THE TYPE OF INTERACTION BEING MEASURED, which may mask differing effects
limitations[1]the tagger's words
limitationsA 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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what this limits: 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
limitations[2]1.0the tagger's words
limitationsModel fit is judged against cut-offs taken from another paper rather than derived for this design.
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what this limits: the statement that this model fits: the fit indices are compared with
limitations[3]1.0the tagger's words
limitationsThe central construct is defined by citation, in terms of what the user happens to need.
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what this limits: 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
limitations[4]1.0the tagger's words
transfersThe 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
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transfers[0]the tagger's words
controlsA 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
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eliminates: 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 · outcome (stated by the tagger, no quotation): held
controls[0]0.85the tagger's words
conceptscommon method bias
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concepts[0]the paper's words
conceptsinformation quality
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concepts[1]the paper's words
conceptsHarman’s single-factor test
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concepts[2]the paper's words
conceptsinteraction quality
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concepts[3]0.95the paper's words
conceptsintention to use
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concepts[4]0.95the paper's words
conceptssatisfaction
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also in: satisfaction
concepts[5]0.95the paper's words
conceptsindependent learning ability
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concepts[6]0.95the paper's words
unhoused_relationsinteraction quality → intention to use
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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.
unhoused_relations[0]0.95the tagger's words
sensescommon method bias - operationalised as whether one factor exceeds half the variance, so 'no bias' here means 'below a conventional cut', not 'absent'
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senses[0]1.0the tagger's words
sensesinformation 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
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senses[1]1.0the tagger's words
sensesimpact - 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
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senses[2]0.9the tagger's words
claim_relationsreplicates → Radha et al. (2020); Prasetyanto et al. (2022)
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claim_relations[0]the tagger's words
claim_relationsreplicates → Dai et al. (2020); Alzahrani et al. (2022)
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claim_relations[1]the tagger's words
concept_edgesinteraction quality —causes→ satisfaction
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strength of the relation: 0.9 · note: 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. 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.
concept_edges[0]0.9the tagger's words
concept_edgessatisfaction —causes→ intention to use
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strength of the relation: 0.9 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.
concept_edges[1]0.9the tagger's words
concept_edgesintention to use —causes→ independent learning ability
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strength of the relation: 0.9 · note: 0.727***, the largest coefficient in the model and the paper's headline claim.
concept_edges[2]0.9the tagger's words
concept_edgesinformation quality —causes→ intention to use
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differs in: 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 them · strength of the relation: 0.7 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]0.85the tagger's words
content_tagsstructural equation modeling (PLS-SEM)
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content_tags.statistics[0]the tagger's words
content_tagsCronbach's alpha
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content_tags.statistics[1]the tagger's words
content_tagsaverage variance extracted
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content_tags.statistics[2]the tagger's words
content_tagsHeterotrait-Monotrait ratio
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content_tags.statistics[3]the tagger's words
content_tagsHarman's single-factor test
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content_tags.statistics[4]the tagger's words
content_tagsbootstrap
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also in: bootstrap
content_tags.statistics[5]the tagger's words
content_tagsvariance inflation factor
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content_tags.statistics[6]the tagger's words
content_tagscross-validation (blindfolding predictive relevance)
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content_tags.statistics[7]the tagger's words
content_tagscoefficient of determination
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content_tags.statistics[8]the tagger's words
content_tagsLikert scale
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also in: Likert scale
content_tags.statistics[9]the tagger's words
content_tagsmediation analysis
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content_tags.statistics[10]the tagger's words
content_tagsIntention 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]the tagger's words
content_tagsIntention 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]the tagger's words
content_tagsInteraction quality had no significant direct influence on intention to use.
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content_tags.findings[2]the tagger's words
content_tagsSatisfaction with the tools fully mediated the effect of interaction quality on intention to use.
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content_tags.findings[3]the tagger's words
content_tagsSatisfaction partially mediated the effect of information quality on intention to use.
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content_tags.findings[4]the tagger's words
content_tagsStudents rated the tools' information quality (M = 4.02) higher than their interaction quality (M = 3.88).
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content_tags.findings[5]the tagger's words
content_tagsintelligent learning tools
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content_tags.definitions[0]the tagger's words
content_tagsinformation quality
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content_tags.definitions[1]the tagger's words
content_tagssatisfaction with tools
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content_tags.definitions[2]the tagger's words
content_tagsintention to use
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content_tags.definitions[3]the tagger's words
content_tagsinteraction quality and information quality of intelligent learning tools
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content_tags.variables[0]the tagger's words
content_tagsindependent learning ability
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content_tags.variables[1]the tagger's words
content_tagssatisfaction with tools
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content_tags.variables[2]the tagger's words
content_tags384 — valid questionnaires collected from Grade 6 students in Hangzhou, China
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content_tags.quantities[0]the tagger's words
content_tagsβ = 0.727 — path coefficient from intention to use to independent learning ability
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content_tags.quantities[1]the tagger's words
content_tags46.127% — 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]the tagger's words
content_tags0.174 — indirect effect of information quality on intention to use via satisfaction
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content_tags.quantities[3]the tagger's words
content_tagsM = 3.82 — mean score for students' self-reported independent learning abilities
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content_tags.quantities[4]the tagger's words
content_tags0.672 and 0.804 — range of HTMT values, all below 1, supporting discriminant validity
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content_tags.quantities[5]the tagger's words

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