The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index; 1 of the 45 sources its claims cite were checked for support.
Cognitive load theory and aging: effects of worked examples on training efficiency
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TL;DR
This experiment compared worked examples with conventional problem solving for younger and older adults learning a water-jug task. Older adults showed a larger efficiency advantage from worked examples, using less time and lower cognitive load while maintaining comparable performance, but the predicted stronger benefit for far transfer was not found.
Key findings
- Older participants in the worked-examples condition reported lower subjective cognitive load (M = 3.19, SD = 1.71) than those solving conventional problems (M = 4.79, SD = 2.16), and spent less training time per problem (81.24 s vs. 206.58 s). Near-transfer performance was similar (.97 vs. .95), while far-transfer performance was numerically higher (.55 vs. .40), though training format had no significant performance effect.
- The Age Group × Training Format interactions were significant for training efficiency, F(1, 50) = 5.45, p < .05; subjective cognitive load, F(1, 50) = 6.94, p < .05; and training time, F(1, 50) = 15.73, p < .001, indicating that older adults benefited disproportionately from worked examples.
- Younger adults did not benefit from worked examples: their mean training efficiency was lower in the worked-examples condition (0.55) than in the conventional-problems condition (0.86), and their subjective cognitive load was higher (2.77 vs. 2.22), although both efficiencies were positive.
- Hypothesis 2 was not supported: the Age Group × Training Format × Transfer Distance interaction for training efficiency was not significant, F(1, 49) = 0.10, p > .05, although separate Age Group × Training Format interactions were significant for near transfer, F(1, 50) = 6.91, p < .05, and far transfer, F(1, 49) = 8.20, p < .01.
Methods
- The design was a 2 × 2 between-groups experiment with Age Group (young vs. old) and Training Format (conventional problems vs. worked examples), plus a within-groups factor of Transfer Distance (near vs. far). N = 54: 30 psychology students aged 18–30 (median 19.50) and 24 older adults aged 61–76 (median 66.00) recruited from the Maastricht Aging Study pool; participants were randomly assigned to conditions.
- Participants completed a computerized water-jug task on a touch screen. Training consisted of four problems either solved conventionally or studied as worked examples; the transfer test had 23 problems, with 11 classified as near transfer and 12 as far transfer. Measures included a shortened Groningen intelligence test, a computation-span test, a 9-point subjective cognitive-load scale, training time, and proportion of solved problems.
- Training efficiency was calculated using Paas and Van Merriënboer’s z-score procedure combining mental effort and performance. ANOVAs were run on control variables, training time, cognitive load, performance, and efficiency, with transfer distance included for efficiency.
Limitations
- The paper states that worked examples did not significantly improve performance in either age group, contrary to earlier research. It suggests the contrast between conditions may have been too weak, older adults’ far-transfer scores had greater variability, the near-transfer problems may already have been too complex for older participants, and the young may have reached a ceiling on the task.
- The paper also states that Hypothesis 2 was not supported because the older adults’ worked-example advantage did not differ between near and far transfer.
- Evident from the text: the sample was small, especially the older group (n = 24), and one older participant did not reach the far-transfer section, producing unequal degrees of freedom. The study used a single task domain and a single subjective load measure, and the young participants’ task may have been too easy to reveal training-format effects.
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1 of 45 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As predicted, the results show that -with respect to the elderlythe efficiency of studying worked examples is higher than the efficiency of solving conventional problems in that less training time and cognitive load leads to a comparable level of performance.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > Abstract
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In the paper
“Their mean scores even suggest a slight negative effect of worked examples on training efficiency.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The absence of a significant interaction between age group, training format, and transfer distance with respect to training efficiency is not in line with Hypothesis 2.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
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In the paper
“Not surprisingly, there is a huge performance difference between the age groups.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, computation spans differed significantly between the age groups, F(1, 50)=28.40,MSE=1.45,pϽ0.001.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.1. IQ and computation span
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In the paper
“With regard to the elderly, Subject Cognitive Load is substantially lower in the Worked Examples condition than in the Conventional Problems condition.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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In the paper
“Indeed, the standard deviations of the far-transfer scores were substantially greater for the elderly than for the young (see Table 1).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is remarkable, however, that the mean IQ score of the elderly participants (M=128.67,SD=9.47) was almost 10 points higher than the mean IQ score of the young participants (M=119.47,SD=8.70),F(1, 50)=13.66,MSE=82.60,p=0.001.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.1. IQ and computation span
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In the paper
“There is also a significant interaction between Age Group and Training Format, F(1, 50)=15.73,pϽ0.001.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.3. Training time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A rather peculiar finding is that the young did not profit from the worked examples used in this study.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
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- Probably not a substantial claim. 13
- It may state two separate claims as one. 30
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In the paper
“The similarity between the interaction patterns of cognitive load and training time furthermore suggests that training time might as well be used as a component in calculating training efficiency (see Pollock, Chandler, & Sweller, 2002).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
What the sources say
- Partly supportedcites Pollock, Chandler, & Sweller, 2002 sourceExperimental — accuracy not yet measured
In Results and Discussion, the paper reports instruction-time and mental-load results for the same instructional conditions. It calculates instructional efficiency from performance and mental-load ratings, but the available passages do not establish that similar interaction patterns justify using training time in that calculation. (LLM, conf=0.77)
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Within the age groups and between the training conditions, there were no significant intelligence differences.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.1. IQ and computation span
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In fact, the employed worked examples were not effective enough to evoke a significant performance enhancement in either age group, which is contrary to previous research (Paas, 1992;Paas & Van Merrie ¨nboer, 1994b;Pillay, 1994;Ward & Sweller, 1990).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
What the sources say
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“More than that, the interaction between Age Group and Training Format, F(1, 50)=6.94,MSE=2.23,pϽ0.05, suggests a disproportional 'decrease' in SCL for the elderly participants.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The analysis of variance reveals an effect of Age Group, F(1, 50)=36.27,MSE=0.92,pϽ0.001, as well as an interaction between Age Group and Training Format, F(1, 50)=5.45,pϽ0.05, which is in accordance with Hypothesis 1.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, there is an effect of Age Group, F(1, 50)=13.43,p=.001, but no effect of Training Format, F(1, 50)=1.66,pϾ0.05.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, there is neither an effect of Training Format nor an interaction (see Table 2).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, there is no interaction between Age Group, Training Format, and Transfer Distance, F(1, 49)=0.10,MSE=0.19,pϾ0.05, which is not in line with Hypothesis 2.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“With respect to Computation Span, there were no differences within the age groups and between the training conditions.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.1. IQ and computation span
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As can be seen in Fig. 4, the efficiencies of both training formats are positive for the young participants and negative for the elderly participants.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This holds for both Near-Transfer Performance, F(1, 50)=10.98,MSE=.00, pϽ0.01, and Far-Transfer Performance, F(1, 49)=44.09,MSE=.05, pϽ0.001.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Where the young participants had a mean score of 4.97 (SD=1.33), the elderly scored no more than 3.21 (SD=0.98).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.1. IQ and computation span
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, both worked examples and conventional problems required relatively little cognitive load and led to almost the same performance level, which is reflected by the positive efficiency scores.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, contrary to the young participants, for whom the Worked Examples condition appears to be relatively inefficient, the elderly display a substantial efficiency 'gain' in the Worked Examples condition relative to the Conventional Problems condition, the latter of which remains highly inefficient.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.2. Training efficiency
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In the paper
“Performance was especially poorer in the more complex far-transfer domain, which is a confirmation of earlier research findings (Czaja & Sharit, 1993;Gilinsky & Judd, 1994;Lorsbach & Simpson, 1988).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
What the sources say
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The old participants were less efficient, performed poorer, and showed higher levels of cognitive load and training time than the young (see Tables 1 and 2).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The analysis of variance reveals main effects for the factors Age Group, F(1, 50)=65.73,MSE=2408.00,pϽ0.001, and Training Format F(1, 50)=28.72,pϽ0.001.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.3. Training time
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In the paper
“Working-memory abilities were assessed with Salthouse and Babcock's (1991) computation-span test, which is a variant of the well-known reading-span test (Daneman & Carpenter, 1980).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 5.2.2. Computation-span test
What the sources say
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In the paper
“That is, a training format is considered efficient if a relatively low mental effort results in a relatively high performance, whereas a training format is considered inefficient if a relatively high mental effort results in a relatively low performance.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 4. Worked examples versus conventional problems
What the sources say
- Not checked — no full text of the sourcecites Paas & Van Merrienboer, 1993 source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In sum, CLT-based training formats optimize learning by making an efficient use of the available cognitive capacity, thereby directing the learner to the essentials of the subject matter and stimulating the construction of cognitive schemata.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 3. Implications of CLT for elderly learners
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In the paper
“In a nutshell, CLT claims that an optimal use of working memory requires a maximum number of mental operations that directly contribute to the learning process and a minimum number of operations that do not contribute to the learning process.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 1. Introduction
What the sources say
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In the paper
“According to Paas and Van Merrie ¨nboer (1993), the ratio between invested mental effort and test performance can be interpreted as the efficiency of a training format.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 4. Worked examples versus conventional problems
What the sources say
- Not checked — no full text of the sourcecites Paas & Van Merrienboer, 1993 source
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In the paper
“Luch-ins' (1942) classical water-jug problem appeared to meet these requirements.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 5.2.4. Task domain
What the sources say
- Not checked — no full text of the sourcecites Luchins, 1942 source
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What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Participants from both groups were randomly assigned to the experimental conditions (n=15 for the young; n=12 for the elderly).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 5.1. Participants
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A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“CLT is directly concerned with the limits of working memory.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 1. Introduction
What the sources say
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim could be matched to a paper in Crossref, so there is nothing to check it against.
In the paper
“To check the intellectual comparability of the experimental groups, a shortened version of the Groningen intelligence test (GIT; Luteijn & Van der Ploeg, 1983;Snijders & Verhage, 1962) was administered.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 5.2.1. Intelligence test
What the sources say
- Not matchedcites Luteijn & Van der Ploeg, 1983
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Snijders & Verhage, 1962
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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- Not matched
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“A third decline concerns the ability to inhibit irrelevant or distracting information (Allen, Madden, Groth, & Crozier, 1992;Hasher & Zacks, 1988), which is likely to withhold older people from the proper processing of information that is relevant for the task at hand.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 1. Introduction
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“If this process recurs, the result is an accumulation of schemata and a lowering of the perceived task complexity (Van Gerven, Paas, Van Merrie ¨nboer, & Schmidt, 2000).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 3. Implications of CLT for elderly learners
What the sources say
- Not checked — no full text of the sourcecites Van Gerven et al., 2000 source
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A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“First, due to a reduction of the working-memory capacity (Salthouse & Babcock, 1991;Wingfield, Stine, Lahar, & Aberdeen, 1988), less information elements can be processed, which undermines comprehension and learning of complex material.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 1. Introduction
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“For novices, who have not yet acquired extensive cognitive schemata, problem solving turns out to be a rather ineffective means of learning, because it imposes an extremely high extraneous cognitive load (Sweller, 1988), whereas the level of germane cognitive load remains relatively low.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 4. Worked examples versus conventional problems
What the sources say
- Not checked — no full text of the sourcecites Sweller, 1988 source
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None of the sources cited for this claim have been checked yet.
In the paper
“A 9-point symmetrical category scale was used as a subjective cognitive-load (SCL) measure (after Paas, Van Merrie ¨nboer, & Adam, 1994).”
- Also stated in: § 5.2.3. Subjective cognitive-load scale · boosted
“Paas and Van Merrie ¨nboer (1994b) evaluated the scale as a highly reliable and sensitive instrument for the assessment of cognitive load (a=.82).”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 5.2.3. Subjective cognitive-load scale
What the sources say
- Not checked — no full text of the sourcecites Paas, Van Merrienboer, & Adam, 1994 source
- Not matchedcites Paas & Van Merrienboer, 1994b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Also stated in: § 5.2.3. Subjective cognitive-load scale · boosted
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Second, the overall processing speed decreases (Cerella, 1990;Fisk & Warr, 1996;Myerson, Hale, Wagstaff, Poon, & Smith, 1990;Salthouse 1993Salthouse , 1996)), which hinders the simultaneous activation of mutually referring information elements.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 1. Introduction
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“With respect to the elderly, a possible explanation for this finding is the frequently observed phenomenon that old adults display far more statistical variance than young adults on various cognitive tasks (Anstey, Stankov, & Lord, 1993), so that subtle differences between conditions tend to get overshadowed.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
What the sources say
- Not checked — no full text of the sourcecites Anstey, Stankov, & Lord, 1993 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“According to CLT, studying worked examples is a more efficient means of training complex skills than solving conventional problems.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > Abstract
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“These results are in accordance with Salthouse and Babcock's (1991) study, in which a gradual age-related decrease of computation-span scores was found.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.1. IQ and computation span
What the sources say
- Not checked — no full text of the sourcecites Salthouse and Babcock's (1991) source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The interaction pattern, depicted in Fig. 5, suggests that the elderly participants are disproportionally favored when studying worked examples, which supports Hypothesis 1.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 6.3. Training time
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although the nearand far-transfer problems reflected different levels of complexity, the complexity of the near-transfer problems could have been already that high that no differential effects were obtained.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It seems that the predicted interaction was not obtained, because the near-transfer problems, which were supposed to be rather simple, were in fact experienced as rather complex by the elderly.”
§ Cognitive load theory and aging: effects of worked examples on training efficiency > 7. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
- The authors state this as an assumption: The near-transfer problems were expected to be rather simple.
The authors state this as an assumption.
To optimize the acquisition of complex material in elderly people, information should be presented in a highly efficient manner.
“this brings us to the assumption that to optimize the acquisition of complex material in elderly people information should be presented in a highly efficient manner.”
The authors state this as an assumption.
CLT-based training accommodates the cognitive abilities of elderly persons particularly well.
“Since these limits are especially evident in elderly persons, it is assumed that CLT-based training accommodates the cognitive abilities of this group particularly well.”
The authors state this as an assumption.
The cognitive capacity of elderly people is smaller than the cognitive capacity of young people.
“The framework assumes that the cognitive capacity of elderly people is smaller than the cognitive capacity of young people, so that any gain in cognitive capacity caused by a lowering of extraneous load is proportionally larger for the elderly than for the young.”
The authors state this as an assumption.
Any gain in cognitive capacity caused by a lowering of extraneous load is proportionally larger for the elderly than for the young.
“The framework assumes that the cognitive capacity of elderly people is smaller than the cognitive capacity of young people, so that any gain in cognitive capacity caused by a lowering of extraneous load is proportionally larger for the elderly than for the young.”
The authors state this as an assumption.
Any increase of germane cognitive load is proportionally larger for the elderly than for the young.
“The same holds for any increase of germane cognitive load.”
The paper relies on this without support.
Compared to young people, the elderly have a much richer and more integrated body of general and specific knowledge at their disposal.
“It is true that, compared to young people, the elderly have a much richer and more integrated body of general and, depending on their professional background, specific knowledge at their disposal.”
The authors state this as an assumption.
The near-transfer problems were expected to be rather simple.
“the near-transfer problems, which were supposed to be rather simple, were in fact experienced as rather complex by the elderly”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Indeed, many experiments supported the counterintuitive prediction that studying worked-out examples facilitates schema construction and transfer performance more than actually solving the equivalent problems does (van Gerven, Paas, van Merriënboer, & Schmidt, 2002; also see Sweller et al., 1998, for an overview).”
From Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning (2003) · cites this paper as van Gerven, Paas, van Merriënboer, & Schmidt, 2002
In the citing paper
“When studies like the one conducted by Denessen et al. (2008) would also incorporate cognitive load measures (e.g., the unidimensional nine-point symmetrical mental effort rating scale [Paas 1992], heart-rate variability [Paas and Van Merriënboer 1994], taskevoked pupillary responses [Van Gerven et al. 2002], or responses to secondary tasks [Marcus et al. 1996]), it would become possible to”
From Making the Black Box of Collaborative Learning Transparent: Combining Process-Oriented and Cognitive Load Approaches (2010) · cites this paper as Van Gerven et al. 2002
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- ConsistentF(1, 50) = 13.43reported p = .001 · recomputed p < .001
“F(1, 50)=13.43,p = .001”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Self-check results appear here once an independent check has confirmed them.
Citations
Cites
Cognitive Load During Problem Solving: Effects on Learning
Sweller, J. (1988) · Cognitive Science · doi:10.1016/0364-0213(88)90023-7 · Cited by 11,048
Individual differences in working memory and reading
Daneman, M., & Carpenter, P. A. (1980) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(80)90312-6 · Cited by 6,336
The Psychology of Learning and Motivation: Advances in Research and Theory
(2010) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/c2009-0-62209-1 · Cited by 6,035
Cognitive Architecture and Instructional Design
Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998) · Educational Psychology Review · doi:10.1023/a:1022193728205 · Cited by 6,023
Self-citationThe processing-speed theory of adult age differences in cognition
Salthouse, T. A. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.403 · Cited by 5,902 · cited 2×
“Second, the overall processing speed decreases (Cerella, 1990; Fisk & Warr, 1996; Myerson, Hale, Wagstaff, Poon, & Smith, 1990; Salthouse 1993, 1996), which hinders the simultaneous activation of mutually referring information elements.”
BackgroundMethodBaddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
A capacity theory of comprehension: individual differences in working memory
Just, M. A., & Carpenter, P. A. (1992) · Psychological Review · doi:10.1037/0033-295x.99.1.122 · Cited by 4,153
Cognitive load theory, learning difficulty, and instructional design
Sweller, J. (1994) · Learning and Instruction · doi:10.1016/0959-4752(94)90003-5 · Cited by 3,801 · cited 1×
“Schemata enable a person to categorize and solve problems in a specific domain (Sweller, 1994).”
BackgroundWorking memory, comprehension, and aging: A review and a new view
Hasher, L., & Zacks, R. T. (1988) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60041-9 · Cited by 3,456
Paas, F. G. W. C. (1992) · Journal of Educational Psychology · doi:10.1037/0022-0663.84.4.429 · Cited by 2,150
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Jolles, J., Houx, P. J., Van Boxtel, M. P. J., & Ponds, R. W. H. M. (Eds.). (1995). The Maastricht aging study: determinants of cognitive aging. Maastricht, The Netherlands: Neuropsych Publishers.
Cited by
Sorted by citations
Items 101–200 of 204
Takır, A., & Aksu, M. (2012) · Creative Education · doi:10.4236/ce.2012.32037 · Cited by 11
Kyun, S. A., & Lee, H. (2009) · Asia Pacific Education Review · doi:10.1007/s12564-009-9044-x · Cited by 11
da Fonseca, C. J. V. (2014) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 10
Visual Navigation Patterns and Cognitive Load
King, L. A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02812-0_30 · Cited by 9
Çakıroğlu, Ü., Güler, M., Atabay, M., & Güler, M. (2019) · Journal of Educational Technology Systems · doi:10.1177/0047239519844509 · Cited by 10
Shen, C.-Y., & Chu, H.-P. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07308-8_55 · Cited by 9
Verification of Cognitive Load Theory with Psychophysiological Measures in Complex Problem-Solving
Jo, I., & Kim, J. (2019) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-019-00495-9 · Cited by 9
Individual difference on reading ability tested by eye-tracking: from perspective of gender
Zhan, Z., Wu, J., Hu, M. Y., Wu, Q., & Fong, P. S. W. (2020) · Interactive Technology and Smart Education · doi:10.1108/itse-12-2019-0082 · Cited by 9
Impelluso, T. J. (2009) · AEE Journal · Cited by 9
Popov, V., Harmer, B. M., Raphael, S., Scott, I. G., Sample, A. P., Cooke, J., & Cole, M. (2025) · Annals of Medicine · doi:10.1080/07853890.2025.2470976 · Cited by 12
Stratton, C. M., Krumrei-Mancuso, E. J., & Miller‐Perrin, C. (2022) · Psi Chi Journal of Psychological Research · doi:10.24839/2325-7342.jn27.2.113 · Cited by 9
Testing the additivity hypothesis of cognitive load theory
Park, B. (2010) · Publications of the UdS (Saarland University) · doi:10.22028/d291-23309 · Cited by 9
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Paas, F., Ayres, P., & Pachman, M. (2008) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-60752-942-220251003 · Cited by 10
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Green, N., Eugenio, B. D., Harsley, R., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39583-8_46 · Cited by 7
Graves, M. R. (2018) · SFU Educational Review · doi:10.21810/sfuer.v11i1.755 · Cited by 7
Binder, J. (2013) · Springer eBooks · doi:10.1007/978-3-658-04573-9 · Cited by 9
Kılıç, E., & Yıldırım, Z. (2012) · Journal of Educational Computing Research · doi:10.2190/ec.47.3.e · Cited by 7
Examining Factors Influencing Cognitive Load of Computer Programmers
Issever, D., Çatalbaş, M. C., & Duran, F. (2023) · Brain Sciences · doi:10.3390/brainsci13081132 · Cited by 10
Patel, N., Waldrop‐Valverde, D., & Ownby, R. L. (2023) · doi:10.31234/osf.io/98bxk · Cited by 5
Monkman, H., Kushniruk, A. W., Borycki, E. M., Sheets, D. J., & Barnett, J. (2020) · JMIR Human Factors · doi:10.2196/15913 · Cited by 6
Instructional Strategies for Improving Self-Monitoring of Learning to Solve Problems
Baars, M. (2009) · RePub (Erasmus University Rotterdam) · Cited by 6
Home technology design for the cognitively impaired
Higgins, P. G., & Glasgow, A. (2010) · European Conference on Cognitive Ergonomics · doi:10.1145/1962300.1962308 · Cited by 5
Measuring cognitive load: a meta-analysis of load measurement sensitivity
Hodson, J. L. (2016) · J. Willard Marriott Library · doi:10.26053/0h-znjx-1b00 · Cited by 4
transfert de connaissances entre les mathematiques et les sciences :
Samson, G. (2003) · doi:10.1522/18194211 · Cited by 5
Identifying the cognitive causes of human error through experimentation
Fischer, S., Itoh, M., & Inagaki, T. (2014) · Journal Européen des Systèmes Automatisés · doi:10.3166/jesa.48.319-338 · Cited by 4
Coghlan, S., Waycott, J., Lei, N., Caine, K. E., & Stigall, B. (2021) · Australasian Computer-Human Interaction Conference · doi:10.1145/3520495.3520512 · Cited by 5
Okada, H., Okuhara, T., & Kiuchi, T. (2025) · Interactive Journal of Medical Research · doi:10.2196/67098 · Cited by 4
(2006) · doi:10.1016/b978-012101264-9/50022-7 · Cited by 3
Stahmann, P., Rodda, A., Nebel, M., van der Staay, A., Janiesch, C., & Teuteberg, F. (2025) · Journal of Decision System · doi:10.1080/12460125.2025.2593245 · Cited by 3
Construction of Prediction Models of Cognitive Load in Human-Machine Interaction Process
Li, J., Xu, B., & Xue-Hong, T. I. A. N. (2010) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2010.00559 · Cited by 3
Ojha, A., Ervas, F., & Gola, E. (2017) · IEEE International Conference on Cybernetics (CYBCONF) · doi:10.1109/cybconf.2017.7985776 · Cited by 3
The use of domestic appliances by cognitively impaired users
Glasgow, A., & Higgins, P. G. (2013) · International Journal of Cognitive Performance Support · doi:10.1504/ijcps.2013.053589 · Cited by 3
Effects of Example-Problem Pairs on Students’ Mathematics Achievements: A Mixed-Method Study
Alreshidi, N. A. K. (2021) · International Education Studies · doi:10.5539/ies.v14n5p8 · Cited by 3
Liu, Y., Byrne, K. A., Aly, H., & Knijnenburg, B. P. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2532710 · Cited by 3
Reiser, R. A., & Lim, J. H. (2006) · Cited by 3
Efficient complex skill training into old age : exploring the benefits of cognitive load theory
Gerven, P. W. M. V. (2002) · Research Publications (Maastricht University) · doi:10.26481/dis.20020621pg · Cited by 3
DaCosta_Boaventura_200805_PhD-3319235.pdf
DaCosta, B. (2018) · Journal of International Crisis and Risk Communication Research · doi:10.6084/m9.figshare.7524611 · Cited by 3
Westelinck, K. D., & Valcke, M. (2005) · Ghent University Academic Bibliography (Ghent University) · Cited by 2
van Gog, T., Liesbeth Kester, A., & PAAS, F. G. W. C. (2010) · DSpace (Open University in the Netherlands) · Cited by 2
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Mangipudy, R. V. S. (2010) · FIU - Digital Commons (Florida International University) · doi:10.25148/etd.fi10081219 · Cited by 2
Zulu, E., & Haupt, T. (2017) · World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) · doi:10.1109/weef.2017.8467094 · Cited by 2
Impelluso, T. J. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--4502 · Cited by 2
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(2010) · Cited by 2
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Gerven, P. W. M. V. (2003) · Neuropraxis · doi:10.1007/bf03099809 · Cited by 2
Lischka, K. (2019) · Kompetenzmanagement in Organisationen · doi:10.1007/978-3-662-59390-5_3 · Cited by 2
Wilson, L. E. (2015) · Cited by 2
Ganaiem, E., & Roll, I. (2025) · Instructional Science · doi:10.1007/s11251-025-09750-7 · Cited by 3
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de Looper, M., Chen, Y. O., Mankauskienė, D., Hodáková, S., Okulska, U., Stachowiak-Szymczak, K., Gutiérrez, R. L., Radeva, S. D., Gualco, C., Muzi, S., et al. (2024) · doi:10.31234/osf.io/523u7 · Cited by 1
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Kim, Y. R. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/8td7-ta18 · Cited by 1
Yu, R. W. L., & Chan, A. H. S. (2022) · Automation, collaboration, and e-services · doi:10.1007/978-3-031-10788-7_21 · Cited by 1
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Nasah, A. (2008) · Journal of International Crisis and Risk Communication Research · Cited by 1
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Chen, Q., & Wang, H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49059-1_27 · Cited by 1
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Yang, I., & Lau, B. T. (2017) · ICST Transactions on e-Education and e-Learning · doi:10.4108/eai.29-11-2017.153390 · Cited by 1
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Huang, X. (2007) · Cited by 1
Die Konzeption von E-Learning: Wissenschaftliche Theorien, Modelle und Befunde
Niegemann, H. M., Hessel, S., Hochscheid-Mauel, D., Aslanski, K., Deimann, M., & Kreuzberger, G. (2004) · X.media.press · doi:10.1007/978-3-642-18677-6_2 · Cited by 1
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Cook, A. E., Potts, A. C., Kupcová, M., et al. (2024) · Springer eBooks · doi:10.1007/978-3-031-54896-3_12 · Cited by 1
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Toshniwal, O., & Yammiyavar, P. G. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-37463-0_17 · Cited by 2
Employee Development and Growth
Noe, R. A., & Tews, M. J. (2014) · Wiley eBooks · doi:10.1002/9781118469392.ch7 · Cited by 1
Effects of observing and producing deictic gestures on memory and learning in different age groups
Ouwehand, K. (2016) · EUR Research Repository (Erasmus University Rotterdam) · Cited by 1
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Zheng, R. Z. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-1966-1.ch008 · Cited by 1
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Niegemann, H. M., Hessel, S., Hochscheid-Mauel, D., Aslanski, K., Deimann, M., & Kreuzberger, G. (2004) · X.media.press · doi:10.1007/978-3-642-18677-6_12
Huang, H. J., Chen, S., Li, J., & Zhao, Y. (2026) · Universal Access in the Information Society · doi:10.1007/s10209-026-01386-9
Winter, M., Grimmer, J., Reichert, M., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4864800
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Yu, C., Liu, W., & Yang, G. H. (2012) · Advanced materials research · doi:10.4028/www.scientific.net/amr.591-593.635
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Bourgaux, L., Tricot, A., & PAAS, F. G. W. C. (2026) · Educational Psychology Review · doi:10.1007/s10648-026-10206-8
Self-citationDotarot, E. (2026) · Psychology and Education A Multidisciplinary Journal · doi:10.70838/pemj.530109
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Lee, S., & Jang, Y. (2026) · Journal of the Korean Society for Aviation and Aeronautics · doi:10.12985/ksaa.2026.34.2.118
Gregory, J. P., & Greenway, T. S. (2017) · The Journal of Creative Behavior · doi:10.1002/jocb.206
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Bigot, L. L., Botherel, V., Jamet, É., & Rouet, J. (2005) · Conference on l'Interaction Homme-Machine (IHM) · doi:10.1145/1148550.1148557
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Low, R., Jin, P., & Sweller, J. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-1966-1.ch005
Moore, K. (2019) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2019.115
Liu, X., & Zhong, B. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06870-4
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Doobov, K. (2009) · International Journal of Orientation & Mobility · doi:10.21307/ijom-2009-008
Visser, R. D. (2009) · TigerPrints (Clemson University)
Jaeger, A. J. (2025) · Learning and Individual Differences · doi:10.1016/j.lindif.2025.102632
(2008) · Springer eBooks · doi:10.1007/978-3-540-37226-4_3
조수연, & 정선영 (2011) · Asian Journal of Education · doi:10.15753/aje.2011.12.2.008
Desjarlais, M. (2011) · Brock University Digital Repository (Brock University)
(2026) · doi:10.1016/j.jagp.2026.01.003
Costilla, M., Corral‐Pérez, J., Vázquez‐Sánchez, M. Á., Ávila‐Cabeza‐de‐Vaca, L., González‐Mariscal, A., & Casals, C. (2026) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2026.01.002
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Low, R., Jin, P., & Sweller, J. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-4422-9.ch059
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Rouse, S. V. (2022) · Psi Chi Journal of Psychological Research · doi:10.24839/2325-7342.jn27.2.96 · Cited by 1
Two text-based interventions on rigid problem solving in the water jugs test
Wind, A. P. (2013) · Scholars Archive - University at Albany (University at Albany, State University of New York) · doi:10.54014/b9cb-8acf
Patel, N., Waldrop‐Valverde, D., & Ownby, R. L. (2023) · Distance Learning · doi:10.1108/dl-09-2023-0002
Tran, S., Zhou, Z., & Xie, J. (2026) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813261485167
Hollandsworth, R. J. (2005) · VTechWorks (Virginia Tech)
Metadata
- Authors
- Van Gerven, P. W. M., Paas, F. G. W. C., Van Merriënboer, J. J. G., & Schmidt, H. G.
- Affiliations
- Open University of the Netherlands (NL)
- Erasmus University Rotterdam (NL)
- Venue
- Learning and Instruction
- Publisher
- Elsevier BV
- Published
- 2002-02
- Volume
- 12
- Issue
- 1
- Pages
- 87-105
- ISSN
- 0959-4752 (ISSN-L)
- OpenAlex
- W2121561709
- Semantic Scholar
- a5c43574830e349c8eb1306745e37fe29e9ed976
- Cited by
- 205
- References
- 48
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 5 · 2023: 5 · 2022: 7 · 2021: 9 · 2020: 12 · 2019: 9 · 2018: 6 · 2017: 9 · 2016: 10 · 2015: 4 · 2014: 12 · 2013: 11 · 2012: 10
- FWCI
- 11.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Learning and Instruction (publishedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Keywords
- cognitive load theory, worked examples, cognitive aging, older adults, working memory, training efficiency, skill acquisition, practice questions, training duration, cognitive resources
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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