Undergraduate Students’ Profiles of Cognitive Load in Augmented Reality–Assisted Science Learning and Their Relation to Science Learning Self-efficacy and Behavior Patterns

Lin, Wong, Zhou, Shen, Li, Tsai · International Journal of Science and Mathematics Education · 2024 · science-education · 10.1007/s10763-023-10376-9 · record Lin2024-undergraduate-students-profiles-of-cognitive
tag layer · index · concepts · authors · עברית
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. method does not fit any of the suggested labels: there is no experimental manipulation and no control group, so behavioural-experiment would overstate the design. What was done is a cross-sectional questionnaire study (cognitive-load and self-efficacy scales) combined with logged behaviour analysed by lag sequential analysis, on students using an AR system the authors also built; 'survey-study' is the least misleading normalisation. The paper's stated design also invites a mechanism reading (collaborative cognitive load theory is offered to explain the Organized profile), but that explanation is proposed as a conjecture rather than tested, so claim type stays existence. A further self-positioning sentence relates the Organized profile to Yang et al. (2021) but was not included as a fourth relation to avoid padding. 2026-08-12, 2026-08-15 and 2026-08-25 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.
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Other fields define these differently the same word, defined another way in another discipline
working memory 4 fields · cognitive load 3 fields · self-efficacy 3 fields · statistical-significance 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 10 concept tags on this paper, all 10 are grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
cognitive load intrinsic cognitive load extraneous cognitive load germane cognitive load working memory self-efficacy augmented reality latent profile analysis lag sequential analysis mental effort Collaborating and discussing with peers distributes the information-processing burden between students, which lowers each student's mental load and frees effort for performance The transaction costs of collaborating are themselves effortful, so heavy interaction can push cognitive processing into overload rather than relieving it cognitive load is treated as multi-dimensional, so a learner can be high on one dimension and low on another - which is why a single scale hides the types extraneous load comes from how the material was designed rather than from its difficulty, so it is the component an instructor can remove self-efficacy is proposed as the link between load and outcome: a sense of competence assists the cognitive processing itself AR adds load as well as benefit - multitasking between the virtual and real layers pulls attention off the instructions mental load behavior patterns Low Engagement profile Immersive profile profiles of cognitive load AR science learning self-efficacy perceived cognitive load learning actions AR science learning self-efficacy dimensions confirmatory factor analysis confirmatory factor analysis (CFA) Kolmogorov-Smirnov test Kolmogorov–Smirnov test Cronbach's alpha Cronbach’s alpha values MANOVA multivariate analysis of variance ANOVA Cohen's kappa (inter-rater reliability) inter-rater reliability kappa z-score (adjusted residual) Z-score (an adjusted residual value) chi-squared / model fit indices chi-squared bootstrap likelihood ratio test information criteria (AIC / adjusted BIC) and entropy Akaike information criterion, adjusted Bayesian information criterion, and higher entropy post hoc test post hoc tests latent-profile-analysis statistical-significance survey
Method, as described: survey-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
contributioncontributionwhat the paper claims to add
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
object of studyobject_of_studywhat the paper is about — the thing it investigates
phenomenonphenomenonthe effect or regularity under study
research questionresearch_questionthe question the paper sets itself
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field

The paper

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alternatives 2 · claim_relations 6 · claim_type 1 · concept_edges 5 · concepts 10 · content_tags 59 · contribution 1 · controls 2 · limitations 5 · mechanisms 6 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 3 · transfers 2

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 5 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studyCognitive load in undergraduates using AR for science learning, and how it relates to their self-efficacy and observed learning behaviour.
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object_of_studythe paper's words
research_questionDo students split into distinct cognitive-load types rather than lying on one scale, and if so do those types differ in self-efficacy and in what they actually do?
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research_questionthe paper's words
contributionFour cognitive-load profiles - Low Engagement, Immersive, Dabbling, Organized - that differ measurably in self-efficacy and in behaviour sequences.
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contributionthe paper's words
claim_typeexistence
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claim_typethe paper's words
phenomenoncognitive load in augmented-reality science learning
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phenomenonthe paper's words
methodsurvey
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also in: survey
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]1.0the tagger's words
mechanismsmechanisms
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mechanisms[3]1.0the tagger's words
mechanismsmechanisms
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mechanisms[4]0.9the tagger's words
mechanismsmechanisms
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mechanisms[5]1.0the tagger's words
limitationsThe profiles rest on only three self-reported cognitive-load dimensions within AR-based activities
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what this limits: the profiles as a description of cognitive load: they rest on AR-BASED LEARNING ACTIVITIES AND THREE TYPES OF COGNITIVE LOAD: MENTAL LOAD, MENTAL EFFORT, AND PERFORMANCE, all self-reported
limitations[0]the tagger's words
limitationsObjective process measures such as eye and hand movement tracking were not collected and are needed to characterise the visual and motor behaviour behind the cognitive load
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what this limits: any process-level reading: OTHER MEASURES OF COGNITIVE PROCESSES, SUCH AS EYE AND HAND MOVEMENT TRACKING, MAY NEED TO BE CONSIDERED FOR FUTURE STUDY
limitations[1]the tagger's words
limitationsThe literature it builds on disagrees with itself about the sign of the effect - more load has been reported as better, worse and neutral.
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what this limits: the prior literature this builds on, which reports every possible sign: MORE COGNITIVE LOAD MAY PERFORM BETTER (... THEES ET AL., 2020), LESS FAVORABLY (... THEES ET AL., 2020), OR WITH NO SI[gnificant difference] - the same source cited on both sides
limitations[2]1.0the tagger's words
limitationsThe three classical load types are stated to be an incomplete account, and the paper adopts a second framework alongside them rather than resolving the conflict.
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what this limits: the three-type framework itself: it is stated to be an incomplete account, and a second framework is adopted alongside it
limitations[3]1.0the tagger's words
limitationsOne cohort, one country, one task - 365 Chinese undergraduates in a single AR activity.
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what this limits: the generality of the profiles: 365 CHINESE UNDERGRADUATES in a single AR activity
limitations[4]0.9the tagger's words
transfersan LSTM plus convolutional-neural-network architecture, imported to classify students' coded learning-behaviour sequences
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transfers[0]the tagger's words
transfersworking memory as a capacity limit, used to define germane load and thereby to ground an instructional-design construct in a memory construct
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transfers[1]1.0the tagger's words
controlstwo independent coders, with inconsistencies checked and corrected before the analysis
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eliminates: one coder's reading of an open response standing as the classification · outcome (stated by the tagger, no quotation): held
controls[0]0.85the tagger's words
controlsinter-rater reliability reported as a kappa of 0.82 between the two teachers' analyses
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eliminates: agreement asserted rather than measured - the kappa is the number that says how much the two codings actually coincided · outcome (stated by the tagger, no quotation): held
controls[1]0.85the tagger's words
conceptscognitive load
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concepts[0]1.0the paper's words
conceptsintrinsic cognitive load
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concepts[1]1.0the paper's words
conceptsextraneous cognitive load
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concepts[2]1.0the paper's words
conceptsgermane cognitive load
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concepts[3]1.0the paper's words
conceptsworking memory
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concepts[4]1.0the paper's words
conceptsself-efficacy
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also in: self-efficacy
concepts[5]1.0the paper's words
conceptsaugmented reality
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concepts[6]1.0the paper's words
conceptslatent profile analysis
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concepts[7]1.0the paper's words
conceptslag sequential analysis
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concepts[8]1.0the paper's words
conceptsmental effort
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also in: mental effort
concepts[9]1.0the paper's words
sensescognitive load - Sweller's decomposition into three TYPES by source: intrinsic, extraneous, germane
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senses[0]1.0the tagger's words
sensescognitive load - Paas and van Merrienboer's decomposition into three DIMENSIONS of assessment: mental load, mental effort, performance
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senses[1]1.0the tagger's words
sensesload - as something a learner can have more or less of, where the literature disagrees even about whether more is better
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senses[2]1.0the tagger's words
alternativesmethod: survey
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a second reading DIFFERING from the recorded value. Recorded: survey — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.methodthe tagger's words
alternativesphenomenon: heterogeneity of cognitive load across learners in augmented-reality science learning
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a second reading DIFFERING from the recorded value. Recorded: cognitive load in augmented-reality science learning — note: a second reading, verbatim-verified, disagreeing with the value on the record. Not applied - a person decides.
alternatives.phenomenonthe tagger's words
claim_relationsextends → Thees et al. (2020)
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claim_relations[0]the tagger's words
claim_relationsreplicates → Lin et al. (2020)
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claim_relations[1]the tagger's words
claim_relationsbuilds-on → Chin and Wang (2021)
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claim_relations[2]the tagger's words
claim_relationsbuilds-on → Sweller (1988), the three types of cognitive load
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claim_relations[3]1.0the tagger's words
claim_relationsbuilds-on → Paas and van Merrienboer (1994), cognitive load as three dimensions of assessment
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claim_relations[4]1.0the tagger's words
claim_relationscontradicts → the assumption that one AR learning design suits all students
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claim_relations[5]0.9the tagger's words
concept_edgesRETRACTED (WRONG TYPE: a KIND, not a PART) · intrinsic cognitive load —is-a→ cognitive load
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RETRACTED: WRONG TYPE: a KIND, not a PART. The span is 'three TYPES OF cognitive load - intrinsic, extraneous…'. The compound name licenses subsumption but not which sort, and this one is classification. — strength of the relation: 1
concept_edges[0]the tagger's words
concept_edgesRETRACTED (WRONG TYPE: a KIND, not a PART) · extraneous cognitive load —is-a→ cognitive load
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RETRACTED: WRONG TYPE: a KIND, not a PART. The span is 'three TYPES OF cognitive load - intrinsic, extraneous…'. The compound name licenses subsumption but not which sort, and this one is classification. — strength of the relation: 1
concept_edges[1]the tagger's words
concept_edgesgermane cognitive load —operationalised-as→ working memory
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strength of the relation: 1
concept_edges[2]the tagger's words
concept_edgesextraneous cognitive load —distinct-from→ intrinsic cognitive load
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strength of the relation: 1
concept_edges[3]the tagger's words
concept_edgesmental effort —part-of→ cognitive load
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strength of the relation: 1
concept_edges[4]the tagger's words
content_tagslatent profile analysis
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content_tags.statistics[0]the tagger's words
content_tagsconfirmatory factor analysis
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content_tags.statistics[1]the tagger's words
content_tagsKolmogorov-Smirnov test
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content_tags.statistics[2]the tagger's words
content_tagsCronbach's alpha
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content_tags.statistics[3]the tagger's words
content_tagsMANOVA
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content_tags.statistics[4]the tagger's words
content_tagsANOVA
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also in: ANOVA
content_tags.statistics[5]the tagger's words
content_tagsCohen's kappa (inter-rater reliability)
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content_tags.statistics[6]the tagger's words
content_tagslag sequential analysis
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content_tags.statistics[7]the tagger's words
content_tagsz-score (adjusted residual)
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content_tags.statistics[8]the tagger's words
content_tagschi-squared / model fit indices
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content_tags.statistics[9]the tagger's words
content_tagsbootstrap likelihood ratio test
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content_tags.statistics[10]the tagger's words
content_tagsinformation criteria (AIC / adjusted BIC) and entropy
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content_tags.statistics[11]the tagger's words
content_tagspost hoc test
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also in: post hoc test
content_tags.statistics[12]the tagger's words
content_tagslatent-profile-analysis
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content_tags.statistics[13]1.0the tagger's words
content_tagsanova
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content_tags.statistics[14]1.0the tagger's words
content_tagsstatistical-significance
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content_tags.statistics[15]1.0the tagger's words
content_tagsLatent profile analysis of three cognitive-load dimensions sorted the undergraduates into four profiles, named Low Engagement, Immersive, Dabbling and Organized.
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content_tags.findings[0]the tagger's words
content_tagsThe Immersive profile (100 students) combined the highest mental effort with the lowest mental load and the second-highest performance of the four profiles.
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content_tags.findings[1]the tagger's words
content_tagsImmersive-profile students reported the highest science learning self-efficacy of any profile.
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content_tags.findings[2]the tagger's words
content_tagsLow Engagement students scored lowest on every self-efficacy dimension measured.
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content_tags.findings[3]the tagger's words
content_tagsOrganized-profile students outscored Dabbling students specifically on conceptual understanding and higher-order cognitive skills.
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content_tags.findings[4]the tagger's words
content_tagsProfiles whose behaviour sequences included discussing with peers, taking tests and reading feedback had significantly higher self-efficacy than profiles whose behaviour was mainly taking tests and visiting resources.
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content_tags.findings[5]the tagger's words
content_tagsExcluding the five-profile model, AIC and adjusted BIC were lowest for the four-profile model.
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content_tags.findings[6]the tagger's words
content_tagsDabbling and Organized students differed significantly only on conceptual understanding and higher-order cognitive skills, not on the other four self-efficacy dimensions.
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content_tags.findings[7]the tagger's words
content_tagsThe Organized profile achieved the highest performance of all four profiles while carrying high mental effort and only medium mental load, alongside more communicative and collaborative behaviour.
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content_tags.findings[8]the tagger's words
content_tagsOrganized and Dabbling students, though similar in mental load, differed behaviourally in that Organized students finished tasks progressively while Dabbling students re-browsed materials and retried tasks with new answers.
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content_tags.findings[9]the tagger's words
content_tagsLatent profile analysis found four learner profiles carrying different cognitive loads.
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content_tags.findings[10]1.0the tagger's words
content_tagsImmersive-profile students scored highest on science learning self-efficacy.
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content_tags.findings[11]1.0the tagger's words
content_tagsOrganized learners outperformed Dabbling ones on conceptual understanding and higher-order skills.
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content_tags.findings[12]1.0the tagger's words
content_tagsWhat students actually did differed by profile, and the sequences involving social interaction and reviewing feedback went with higher self-efficacy than test-and-browse sequences.
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content_tags.findings[13]1.0the tagger's words
content_tagscognitive load
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content_tags.definitions[0]the tagger's words
content_tagsintrinsic cognitive load
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content_tags.definitions[1]the tagger's words
content_tagsextraneous cognitive load
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content_tags.definitions[2]the tagger's words
content_tagsgermane cognitive load
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content_tags.definitions[3]the tagger's words
content_tagsself-efficacy
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also in: self-efficacy
content_tags.definitions[4]the tagger's words
content_tagsmental load
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also in: mental load
content_tags.definitions[5]the tagger's words
content_tagsmental effort
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content_tags.definitions[6]the tagger's words
content_tagsLow Engagement profile
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content_tags.definitions[7]the tagger's words
content_tagsImmersive profile
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content_tags.definitions[8]the tagger's words
content_tagscognitive load
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content_tags.definitions[9]1.0the tagger's words
content_tagsintrinsic cognitive load
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content_tags.definitions[10]1.0the tagger's words
content_tagsextraneous cognitive load
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content_tags.definitions[11]1.0the tagger's words
content_tagsgermane cognitive load
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content_tags.definitions[12]1.0the tagger's words
content_tagsprofiles of cognitive load
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content_tags.variables[0]the tagger's words
content_tagsAR science learning self-efficacy
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content_tags.variables[1]the tagger's words
content_tagsperceived cognitive load
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content_tags.variables[2]the tagger's words
content_tagslearning actions
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content_tags.variables[3]the tagger's words
content_tagsAR science learning self-efficacy dimensions
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content_tags.variables[5]1.0the tagger's words
content_tags365 — undergraduates who completed the questionnaires, of whom 31.5% were male
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content_tags.quantities[0]the tagger's words
content_tags60,595 — coded learning behaviours entered into the behaviour-pattern analysis
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content_tags.quantities[1]the tagger's words
content_tags62.19% — share of participants falling into the Dabbling and Organized profiles combined
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[2]the tagger's words
content_tags1.96 — Z-score cut-off used to declare a behavioural transition significant
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[3]the tagger's words
content_tags0.92, 0.92, and 0.85 — Cronbach's alpha for the mental load, mental effort and performance subscales
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[4]the tagger's words
content_tags0.82 — inter-rater reliability kappa between the two coding teachers
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[5]the tagger's words
content_tags100 — students assigned to profile 2 (the Immersive profile)
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[6]the tagger's words
content_tags365 undergraduates — sample size for the latent profile analysis
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[7]1.0the tagger's words
content_tagsfour profiles — number of latent classes recovered
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content_tags.quantities[8]1.0the tagger's words
content_tagssix self-efficacy dimensions — dimensions of the AR science-learning self-efficacy measure compared across profiles
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content_tags.quantities[9]1.0the tagger's words
content_tagsthree dimensions — the Paas and van Merrienboer decomposition: mental load, mental effort, performance
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
content_tags.quantities[10]1.0the tagger's words

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