phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text| phenomenon | continuous learning intention in STEAM education— “Therefore, this study aims to explore the latent factors that can enhance STEAM continuous learning intention.” | |
| claim-type | mechanism— “The results showed that perceived usability directly influenced learning intention and strengthened the relationship between learning attitudes and intention.” | |
| method — evidence | — “The data collection period was from February to May 2021, and 145 questionnaire responses were collected, yielding 141 valid responses.” | |
| transfer | from cognitive psychology (short-term memory research): cognitive load theory, originally developed from short-term memory experiments, is imported as the cognitive-domain measure in a STEAM education acceptance model— “Cognitive load theory was first proposed by a cognitive psychologist based on empirical research on short-term memory ability” | transfers[0] |
| mechanism | successfully carrying out the hands-on STEAM activity in the psychomotor phase raises the learner's attitude and motivation, which in turn produces the intention to keep learning— “In the third phase (affective domain), the successful implementation experience of STEAM activity in the second phase would increase the positive attitude and enhance the motivation towards continuous learning intention in the fourth phase.” | mechanisms[0] |
| mechanism | a heavy cognitive load depresses learning performance because a learner cannot process the complexity and volume of the incoming information all at once— “In the second phase (psychomotor domain), a heavy cognitive load may negatively affect learning performance because individuals cannot handle the complexity and the infinity of the abundant information at once as an input” | mechanisms[1] |
| mechanism | high demand from cognitive processes such as recall, comprehension, application and analysis consumes capacity and thereby lowers the learner's perception of the material's usability— “The high-level load of cognitive processes (such as knowledge recall, comprehension of understanding, application, and analysis) decreases perception” | mechanisms[2] |
| extends | Weng et al. (2018)— “The results show that cognitive load enables learners to easily understand and implement the STEAM task, which extends the findings of Weng et al.” | claim_relations[0] |
| replicates | Davis, 1989; Davis et al., 1989 (TAM)— “The research results confirmed the relationship in Davis’s TAM constructs (Davis, 1989; Davis et al., 1989) that were applied to explain the behavioral intention of STEAM education (Mutambara & Bayaga, 2021; Su, 2019).” | claim_relations[1] |
| sense | cognitive load - operationalised here as TWO components, mental load and mental effort, inside a model that also carries technology-acceptance and motivation constructs— “Technology usage in STEAM education also has the benefits of decreasing cognitive load (mental load and mental effort) and improving students’ learning intentions” | senses[0] |
| sense | generalization - established by a NON-SIGNIFICANT group difference rather than by sampling both populations to a defined standard— “Therefore, our research result can be interpreted as generalization for both elementary and university students.” | senses[1] |
| sense | `cognitive load` - A TWO-PART PARTITION WHOSE HALVES ARE EASILY CONFLATED, AND THIS PAPER KEEPS THEM APART. `Cognitive load consists of two constructs: mental load and mental effort.` The names differ by one word and both read as `how hard it feels`. The distinction is between what the TASK imposes and what the LEARNER expends, and a corpus that carries only one of the two - as this record did - silently makes `cognitive load` mean whichever half it kept.— “Cognitive load consists of two constructs: mental load and mental effort.” | senses[2] |
| sense | `ARCS` - AN ACRONYM WHOSE LETTERS ARE ITS PARTITION, LIKE `WEIRD` IN `henrich2010`. `The ARCS theory construct consists of four sub-constructs: attention, relevance, confidence, and satisfaction (SAT).` The name cannot drift from its content because the content spells the name - and the same sentence then gives `satisfaction` a SECOND abbreviation, `SAT`, so one construct carries two acronyms at different levels.— “The ARCS theory construct consists of four sub-constructs: attention, relevance, confidence, and satisfaction (SAT)” | senses[3] |
| control | the same learning topic used in both STEAM activities, with the materials made harder for the university group and easier for the elementary group — held — rules out a difference between the two populations that is really a difference in whether they could follow the material at all - the topic is held constant and the difficulty is matched to each— “The two versions of STEAM activities have the same learning topic with different learning materials: a difficult one for college students and an easier one for elementary students.” | controls[0] |
| control | the same questionnaire administered after both activities, in the university and in the elementary school — held — rules out an instrument effect - two different questionnaires would make the two settings incomparable whatever the activities did— “We conducted two similar STEAM activities and used the same questionnaire to collect survey data after the STEAM activities in the university and elementary school.” | controls[1] |
| edge | mental effort —part-of→ cognitive load— “Technology usage in STEAM education also has the benefits of decreasing cognitive load (mental load and mental effort)” | concept_edges[0] |
| note | mental load —part-of→ cognitive load — 'consists of' is the containment cue, and it is in the gate's list - so unlike most of tonight's edges this one is actually cue-tested. Direction: the whole is named first here, the parts second, which is the 'CONTAINER_FIRST' order.— “Cognitive load consists of two constructs: mental load and mental effort.” | concept_edges[1] |
| outcome (stated by the tagger, no quotation) | control — held | controls[0] |
| outcome (stated by the tagger, no quotation) | control — held | controls[1] |
| for which use | limitation — the paper's own framing: DESPITE THE CONTRIBUTIONS OF THIS STUDY, SEVERAL LIMITATIONS REMAIN TO BE ADDRESSED— “Despite the contributions of this study, several limitations remain to be addressed.” | limitations[0] |
| for which use | limitation — the population the result speaks for: A SAMPLE OF STUDENTS FROM ONLY ONE REGION OF TAIWAN— “First, due to time limitations and lack of sufficient course support, the present study included a sample of students from only one region of Taiwan.” | limitations[1] |
| for which use | limitation — any employability claim: THE LONG-STANDING UNSOLVED PROBLEM OF AI-BASED EDUCATION IN STEM STUDIES AND EMPLOYABILITY NEEDS TO BE CONSIDERED WITH OTHER POSSIBLE VARIABLES— “Third, the long-standing unsolved problem of AI-based education in STEM studies and employability needs to be considered with other possible variables to examine the hypotheses in future studies (Chu et al., 2019).” | limitations[2] |
| for which use | limitation — the claim that this model holds for both elementary and university students: it rests on finding no significant difference between the two groups, not on a test of equivalence— “all hypotheses in our structural model have no significant difference between elementary student group and university group as shown in Table 7. Therefore, our research result can be interpreted as generalization for both elementary and university students.” | limitations[3] |
| for which use | limitation — the reported validity statistics: items were extracted from the model, after which all values exceeded the minimum threshold— “these items were extracted from the model. Therefore, all values exceeded the minimum threshold, indicating that the constructs were explained” | limitations[4] |
| for which use | limitation — this sample as representative of STEAM learners: students were recruited in the classroom after their learning activities and participated voluntarily— “In this study, elementary and university students were recruited in the classroom after their learning activities. The participants voluntarily participated in the questionnaire survey.” | limitations[5] |
| replication | untested | |
| limitation | The paper flags its own limitations explicitly before listing them.— “Despite the contributions of this study, several limitations remain to be addressed.” | limitations[0] |
| limitation | The sample comes from a single region of Taiwan.— “First, due to time limitations and lack of sufficient course support, the present study included a sample of students from only one region of Taiwan.” | limitations[1] |
| limitation | Variables linking AI-based STEM education to employability were not modelled.— “Third, the long-standing unsolved problem of AI-based education in STEM studies and employability needs to be considered with other possible variables to examine the hypotheses in future studies (Chu et al., 2019).” | limitations[2] |
| limitation | Generalisation across two very different populations is established by the ABSENCE of a significant difference, which is an acceptance of the null.— “all hypotheses in our structural model have no significant difference between elementary student group and university group as shown in Table 7. Therefore, our research result can be interpreted as generalization for both elementary and university students.” | limitations[3] |
| limitation | Items were removed from the model until the validity thresholds were satisfied, so the thresholds were met partly by deletion.— “these items were extracted from the model. Therefore, all values exceeded the minimum threshold, indicating that the constructs were explained” | limitations[4] |
| limitation | Participation was voluntary and recruitment happened in class after the activity, so the sample is self-selected among those who had just taken part.— “In this study, elementary and university students were recruited in the classroom after their learning activities. The participants voluntarily participated in the questionnaire survey.” | limitations[5] |
finding · quantity · variable · definition · key-term — grounded in the full text| finding | Perceived usability had a direct positive effect on continuous learning intention and also strengthened the link between learning attitude and intention.— “The results showed that perceived usability directly influenced learning intention and strengthened the relationship between learning attitudes and intention.” | content_tags.findings[0] |
| finding | Cognitive load had a significant negative direct effect on perceived usability (B = -0.32), so lower load meant higher perceived usability.— “Analysis of the effects of cognitive load (H4) (cognitive load → perceived usability) showed that the variable had significant negative direct effects on perceived usability (B = − 0.32, p < 0.01).” | content_tags.findings[1] |
| finding | ARCS motivation had a positive and significant effect on learning attitude (B = 0.48).— “Regarding the effects of Keller’s ARCS theory, H5 (ARCS → learning attitude) showed a positive and significant effect (B = 0.48, p < 0.01).” | content_tags.findings[2] |
| finding | Both moderation terms were significant: perceived usability moderated attitude to intention (B = 0.104) and ARCS moderated perceived usability to attitude (B = 0.082).— “the interaction term “perceived usability x attitude” is positive and significant for intention (B = 0.104, t-value = 3.13, p = 0.002), and the interaction term “ARCS x perceived usability” is positive and significant for attitude (B = 0.082, t-value = 2.03, p = 0.042).” | content_tags.findings[3] |
| finding | The attitude-to-intention relationship was steeper for learners with high perceived usability than for those with low perceived usability.— “Perceived usability strengthens the positive relationship between attitude and intention.” | content_tags.findings[4] |
| finding | The core TAM paths were supported: perceived usability to attitude (B = 0.41) and attitude to intention (B = 0.34).— “H1 (perceived usability → learning attitude) path showed a significant positive effect (B = 0.41, p < 0.005), H2 (learning attitude→ learning intention) path showed a strong significant effect (B = 0.34, p < 0.01)” | content_tags.findings[5] |
| finding | None of the model's paths differed significantly between the elementary-school and university subsamples, so the model held for both age groups.— “The PLS-GMA result showed that all hypotheses in our structural model have no significant difference between elementary student group and university group” | content_tags.findings[6] |
| finding | The structural model fitted the data well, with SRMR of 0.069 and RMS_theta of 0.16.— “The SRMR value for the saturated model was 0.069, and the RMS_theta value was 0.16 close to 0, indicating a well-fitting model in this study.” | content_tags.findings[7] |
| quantity | 145 — questionnaire responses collected, of which 141 were valid— “The data collection period was from February to May 2021, and 145 questionnaire responses were collected, yielding 141 valid responses.” | content_tags.quantities[0] |
| quantity | 84 undergraduate students and 57 elementary students — composition of the voluntary survey sample— “Participation in the questionnaire survey was voluntary (84 undergraduate students and 57 elementary students), and the participants completed the questionnaire after STEAM teaching activities.” | content_tags.quantities[1] |
| quantity | 7-point Likert scale — response format of the 52-item instrument (24 TAM, 8 cognitive load, 20 ARCS items) | content_tags.quantities[2] |
| quantity | B = − 0.32, p < 0.01 — path coefficient from cognitive load to perceived usability | content_tags.quantities[3] |
| quantity | B = 0.48, p < 0.01 — path coefficient from ARCS motivation to learning attitude | content_tags.quantities[4] |
| quantity | B = 0.104, t-value = 3.13, p = 0.002 — interaction (moderation) effect of perceived usability on the attitude-intention path | content_tags.quantities[5] |
| quantity | 0.069 — SRMR value for the saturated model, indicating acceptable fit | content_tags.quantities[6] |
| quantity | 0.96 — Cronbach's alpha for the perceived usability construct 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. | content_tags.quantities[7] |
| variable | cognitive load (independent) 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. | content_tags.variables[0] |
| variable | continuous learning intention (dependent) 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. | content_tags.variables[1] |
| variable | learning attitude (mediator) 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. | content_tags.variables[2] |
| variable | ARCS motivation (moderator) 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. | content_tags.variables[3] |
| variable | perceived usability (moderator) 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. | content_tags.variables[4] |
| definition | continuous learning intention 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. | content_tags.definitions[0] |
| definition | perceived usability 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. | content_tags.definitions[1] |
| definition | cognitive load 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. | content_tags.definitions[2] |
| definition | STEAM learning cycle 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. | content_tags.definitions[4] |
| definition | ARCS model 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. | content_tags.definitions[5] |
| definition | Mental load 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. | content_tags.definitions[6] |
| definition | mental effort 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. | content_tags.definitions[7] |
| concept | cognitive load 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. | concepts[0] |
| concept | mental effort 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. | concepts[1] |
| concept | discriminant validity 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. | concepts[2] |
| concept | mental load — not defined in this paper's own words; the second of cognitive load's two constructs - the record already carried 'mental effort' and 'cognitive load' and was missing this one, so the partition was recorded with a hole in it 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. | concepts[3] |
| concept | ARCS — not defined in this paper's own words; a four-part motivational construct - attention, relevance, confidence, satisfaction - imported wholesale and named by the initials of its own parts 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. | concepts[4] |
| structural equation modelling (partial least squares) | as written: partial least squares (PLS) 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. | content_tags.statistics[0] |
| confirmatory factor analysis | as written: confirmatory factor analysis (CFA) 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. | content_tags.statistics[1] |
| Cronbach's alpha | as written: Cronbach’s alpha coefficients 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. | content_tags.statistics[2] |
| composite reliability and average variance extracted | as written: CR values ... AVE values 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. | content_tags.statistics[3] |
| bootstrap | as written: bootstrapping procedure with a sample size of 5000 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. | content_tags.statistics[4] |
| variance inflation factor (multicollinearity check) VIF | as written: VIF 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. | content_tags.statistics[5] |
| coefficient of determination R2 | as written: coefficient of determination (R2) 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. | content_tags.statistics[6] |
| effect size f2 | as written: f2 effect 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. | content_tags.statistics[7] |
| multi-group comparison test | as written: partial least squares multi-group analysis (PLS-MGA) 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. | content_tags.statistics[8] |
| goodness-of-fit residual index SRMR | as written: SRMR value 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. | content_tags.statistics[9] |
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