A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style.
Abstract
Students received a personalized or nonpersonalized version of a narrated animation explaining how the human respiratory system works. The narration for the nonpersonalized version was in formal style, whereas the narration for the personalized version was in conversational style in which “the ” was changed to “your ” in 12 places. In 3 experiments, students who received the personalized version scored significantly higher on transfer tests but not on retention tests than did students who received the nonpersonalized version. The results are consistent with a cognitive theory of multimedia learning in which personalization causes students to actively process the incoming material. Suppose you are sitting at your computer, exploring a Web site on health information. You click on a link about how the human respiratory system works, and you see a short presentation on the screen. The presentation consists of an animation depicting the processes of inhaling air into the lungs, exchanging oxygen from the lungs into the bloodstream and carbon dioxide from the blood-stream into the lungs, and exhaling air out of the body. The presentation also consists of a corresponding narration spoken in a
AI snapshot
Written from the paper’s full text.
TL;DR
Across three experiments, college students who learned from a narrated animation about the respiratory system with conversational wording (“your” instead of “the” in 12 places) performed better on transfer tests than students who heard formal wording, but not on retention tests. The authors interpret this personalization effect as evidence that conversational style prompts deeper processing of multimedia material.
Key findings
- In Experiment 1, the personalized group scored higher on transfer than the nonpersonalized group (M = 7.1, SD = 2.4 vs. M = 6.0, SD = 1.8), t(60) = 2.170, p = .034, effect size = 0.65; retention did not differ significantly (both M = 11.3; effect size = −0.02).
- In Experiment 2, the personalized group again scored higher on transfer (M = 7.8, SD = 2.4 vs. M = 5.6, SD = 2.0), t(25) = 2.516, p = .019, effect size = 1.07; retention did not differ significantly (M = 8.2 vs. M = 9.0; effect size = −0.21).
- In Experiment 3, the personalized group scored higher on transfer (M = 6.2, SD = 2.0 vs. M = 4.5, SD = 2.3), t(30) = 2.177, p = .037, effect size = 0.72; retention did not differ significantly (M = 11.1 vs. M = 9.6; effect size = 0.37).
- Interest measures did not show a statistically significant personalization effect: in Experiment 3, interest ratings were M = 5.1 vs. M = 4.5, t(30) = 1.56, p = .129, effect size = 0.55; in Experiment 2, no participants in either group showed facial expressions during learning.
Methods
- Three experiments used a personalized or nonpersonalized version of a roughly 60-s narrated animation on how the human respiratory system works; the only difference was changing “the” to “your” in 12 places in a 100-word narration spoken in a male voice.
- Participants were 62 college students in Experiment 1 (29 personalized, 33 nonpersonalized), 27 college students in Experiment 2 (14 personalized, 13 nonpersonalized), and 32 paid adults in Experiment 3 (17 personalized, 15 nonpersonalized).
- After viewing, participants completed a retention test and five transfer test sheets; retention and transfer were scored out of 20 idea units or acceptable answers by two raters with consensus. Experiment 2 video recorded faces and tallied smiles; Experiment 3 added 1–7 difficulty and interest ratings. Main analyses were t tests with effect sizes.
Limitations
- The paper states that its interest measures were problematic: smiling in Experiment 2 was insensitive, and the interest rating in Experiment 3 did not reach significance, so either the measures were defective or the interest hypothesis needs revision.
- The paper states that direct measures of cognitive processing during learning are missing and calls for further work, including possible fMRI measures, to test whether personalization primes deeper processing.
- The paper notes that spatial ability data in Experiments 1 and 3 were not used because there were not enough participants, and that an additional study similar to Experiment 1 was not reported because of possible data coding errors. Evident from the text: samples were small, participants were from university subject pools, and the lesson was a single short topic, limiting generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 12 cited sources checked · 0 supported · 0 flagged
- Findingown data§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1
In three experiments, students who received the personalized version scored significantly higher on transfer tests than did students who received the nonpersonalized version.
“In 3 experiments, students who received the personalized version scored significantly higher on transfer tests but not on retention tests than did students who received the nonpersonalized version.”
Quote in the paperSubstantial claim - Findingown data§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1
In three experiments, students who received the personalized version did not score significantly higher on retention tests than did students who received the nonpersonalized version.
“In 3 experiments, students who received the personalized version scored significantly higher on transfer tests but not on retention tests than did students who received the nonpersonalized version.”
Quote in the paperNot a substantial claim - Findingown data§ Results · p. 5
In Experiment 3, the mean difficulty rating of the personalized group (M = 5.9, SD = 1.3) was not significantly different from the mean difficulty rating of the nonpersonalized group (M = 5.8, SD = 1.2), t(30) = 0.324, p = .748, effect size = 0.11.
“the mean difficulty rating of the personalized group ( M = 5.9, SD = 1.3) was not significantly different from the mean difficulty rating of the nonpersonalized group ( M = 5.8, SD = 1.2), t (30) = 0.324, p = .748, effect size = 0.11.”
Quote in the paperNot a substantial claim - Findingown data§ Results · p. 5
In Experiment 3, the mean retention test score was not significantly different between the personalized and nonpersonalized groups (t(30) = 1.087, p = .286, effect size = 0.37).
“The mean score on the retention test was not significantly different for the two groups, t (30) = 1.087, p = .286, yielding an effect size of 0.37.”
Quote in the paperNot a substantial claim - Findingown data§ Results · p. 5
In Experiment 3, the mean transfer test score was significantly greater for the personalized group than for the nonpersonalized group (t(30) = 2.177, p = .037, effect size = 0.72).
“The mean score on the transfer test was significantly greater for the personalized group than for the nonpersonalized group, t (30) = 2.177, p = .037, yielding an effect size of 0.72.”
Quote in the paperSubstantial claim
- Findingown data§ Results and Discussion · p. 4
In Experiment 1, the mean transfer test score was significantly greater for the personalized group than for the nonpersonalized group (t(60) = 2.170, p = .034, effect size = 0.65).
“The mean score on the transfer test was significantly greater for the personalized group than for the nonpersonalized group, t (60) = 2.170, p = .034, yielding an effect size of 0.65.”
Quote in the paperSubstantial claim - Findingown data§ Results · p. 5
In Experiment 2, the mean retention test score was not significantly different between the personalized and nonpersonalized groups (t(25) = 0.594, p = .557, effect size = -0.21).
“The mean score on the retention test was not significantly different for the two groups, t (25) = 0.594, p = .557, yielding an effect size of -0.21.”
Quote in the paperNot a substantial claim - Findingown data§ Results · p. 5
In Experiment 2, the mean transfer test score was significantly greater for the personalized group than for the nonpersonalized group (t(25) = 2.516, p = .019, effect size = 1.07).
“The mean score on the transfer test was significantly greater for the personalized group than for the nonpersonalized group, t (25) = 2.516, p = .019, yielding an effect size of 1.07.”
Quote in the paperSubstantial claim - Findingown data§ Results · p. 5
In Experiment 3, the mean interest rating was not significantly greater for the personalized group (M = 5.1, SD = 1.2) than for the nonpersonalized group (M = 4.5, SD = 1.1), t(30) = 1.56, p = .129, effect size = 0.55.
“the mean score on the interest rating was not significantly greater for the personalized group ( M = 5.1, SD = 1.2) than for the nonpersonalized group ( M = 4.5, SD = 1.1), t (30) = 1.56, p = .129, yielding an effect size of 0.55.”
Quote in the paperSubstantial claim - Findingown data§ Results · p. 5
In Experiment 2, none of the participants in either group showed any facial expressions during learning.
“None of the participants in either group showed any facial expressions during learning”
Quote in the paperSubstantial claim - Findingown data§ Results and Discussion · p. 4
In Experiment 1, the mean retention test score was not significantly different between the personalized and nonpersonalized groups (t(60) < 1, p = ns, effect size = -0.02).
“The mean score on the retention test was not significantly different for the two groups, t (60) < 1, p = ns , yielding an effect size of -0.02.”
Quote in the paperNot a substantial claim - Interpretationown data§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1
The results are consistent with a cognitive theory of multimedia learning in which personalization causes students to actively process the incoming material.
“The results are consistent with a cognitive theory of multimedia learning in which personalization causes students to actively process the incoming material.”
Quote in the paperSubstantial claim - Premisecitation§ Practical Implications · p. 6
Making extensive changes in the name of personalization can create seductive details (i.e., interesting but irrelevant words or pictures) that distract the learner.
“Making extensive changes in the name of personalization can create seductive details (i.e., interesting but irrelevant words or pictures) that distract the learner, as demonstrated by Harp and Mayer (1997, 1998).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Harp and Mayer (1997, 1998)
Not checked in the free run.
- Interpretationown data§ Results · p. 5
The number of smiles is not a reasonable measure of interest.
“Experiment 2 seems to demonstrate that number of smiles is not a reasonable measure of interest.”
Quote in the paperSubstantial claim - Premisecitation§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1
Moreno and Mayer (2000) found that students scored higher on a transfer test after receiving a narrated animation about lightning formation in which the words were in conversational style rather than in formal style.
“In a previous set of studies, Moreno and Mayer (2000) found that students scored higher on a transfer test after receiving a narrated animation about lightning formation in which the words were in conversational style (i.e., using first and second person as well as comments directed at the learner) rather than in formal style (i.e., using third person and no comments directed at the learner).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Moreno and Mayer (2000)
Not checked in the free run.
- Interpretationown data§ Results and Discussion · p. 4
Experiment 1 results support Prediction 1.
“Overall, the results support Prediction 1; however, this experiment did not test Prediction 2.”
Quote in the paperSubstantial claim - Interpretationown data§ Results · p. 5
Experiment 2 results support Prediction 1.
“Overall, the results support Prediction 1.”
Quote in the paperSubstantial claim - Premisecitation§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1
Moreno and Mayer (2000) also found that students scored higher on a transfer test after playing an educational science game containing narrated animation in which the words were in conversational style than when the words were in formal style.
“Moreno and Mayer (2000) also found that students scored higher on a transfer test after playing an educational science game containing narrated animation in which the words were in conversational style than when the words were in formal style.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Moreno and Mayer (2000)
Not checked in the free run.
- Interpretationown data§ Practical Implications · p. 6
A minor change in wording (i.e., using 'your' instead of 'the') can have a large practical effect on learning.
“Finally, a major practical contribution of this research is that a minor change in wording (i.e., using 'your' instead of 'the') can have a large practical effect on learning.”
Quote in the paperSubstantial claim - Interpretationown data§ Theoretical Implications · p. 5
In each of the three experiments, the personalization changes had no significant impact on retention of the presented words.
“However, in each of the three experiments, these changes had no significant impact on retention of the presented words.”
Quote in the paperSubstantial claim - Interpretationown data§ Results · p. 5
Experiment 3 results are consistent with Prediction 1.
“Overall, these results are consistent with Prediction 1.”
Quote in the paperSubstantial claim - Interpretationown data§ Practical Implications · p. 6
A major empirical contribution of this research is to establish that personalization can affect learner understanding.
“In summary, a major empirical contribution of this research is to establish that personalization can affect learner understanding.”
Quote in the paperSubstantial claim - Interpretationown data§ Practical Implications · p. 6
The personalization effect was strong and consistent over three experiments.
“The personalization effect was strong and consistent over three experiments.”
Quote in the paperSubstantial claim - Interpretationreasoning§ Practical Implications · p. 6
Under some circumstances, people may learn more deeply when the presented text is in conversational rather than formal style.
“The design implications are thatunder some circumstances-people may learn more deeply when the presented text is in conversational rather than formal style.”
Quote in the paperSubstantial claim - Interpretationown data§ Practical Implications · p. 6
An extremely modest version of the personalization treatment-changing 'the' to 'your' in 12 places in a lesson-also creates a personalization effect.
“In the present study, we were interested in whether an extremely modest version of the personalization treatment-changing 'the' to 'your' in 12 places in a lesson-would also create a personalization effect. The overwhelming answer is yes.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 13
- May combine two claims. 9
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 3Deeper processing results in more meaningful learning as indicated by better transfer test performance.
“The deeper processing results in more meaningful learning as indicated by better transfer test performance.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisecitation§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1One of the two most important paths toward fostering meaningful learning is to increase the learner's interest, thus causing the learner to use the available capacity for deep processing during learning.
“and (b) to increase the learner's interest (Harp & Mayer, 1998; Mayer, Sobko, & Mautone, 2003; Moreno & Mayer, 2000; Renninger, Hidi, & Krapp, 1992), thus causing the learner to use the available capacity for deep processing during learning.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Harp & Mayer, 1998
Not checked in the free run.
- cites Mayer, Sobko, & Mautone, 2003
Not checked in the free run.
- cites Moreno & Mayer, 2000
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1There is not yet a large research base concerning design principles that increase the learner's interest in multimedia learning.
“In contrast to research on cognitive load, there is not yet a large research base concerning design principles that increase the learner's interest in multimedia learning.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 3Using the self as a reference point increases the learner's interest.
“Using the self as a reference point increases the learner's interest, which in turn encourages the learner to use available cognitive capacity for active cognitive processing of the incoming information during learning.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1One of the two most important paths toward fostering meaningful learning is to design multimedia instructional messages in ways that reduce cognitive load, thus making more capacity available for deep cognitive processing during learning.
“The two most important paths toward fostering meaningful learning are (a) to design multimedia instructional messages in ways that reduce cognitive load (Mayer &Moreno, 2003; Paas, Renkl, & Sweller, 2003; Van Merrienboer, Kirschner, & Kester, 2003), thus making more capacity available for deep cognitive processing during learning”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Mayer &Moreno, 2003
Not checked in the free run.
- cites Paas, Renkl, & Sweller, 2003
Not checked in the free run.
- cites Van Merrienboer, Kirschner, & Kester, 2003
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 3Increased interest encourages the learner to use available cognitive capacity for active cognitive processing of the incoming information during learning.
“Using the self as a reference point increases the learner's interest, which in turn encourages the learner to use available cognitive capacity for active cognitive processing of the incoming information during learning.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ Practical Implications · p. 6In a previous set of studies, Moreno and Mayer (2000) found that personalization improved transfer performance on an environmental science educational game and on learning from a multimedia lesson on lightning formation.
“In a previous set of studies, Moreno and Mayer (2000) found that personalization improved transfer performance on an environmental science educational game and on learning from a multimedia lesson on lightning formation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Moreno and Mayer (2000)
Not checked in the free run.
The quote only partly states this claim.
Study design and conductown data§ Results · p. 5Experiment 2 did not adequately test Prediction 2.
“Overall, the experiment did not adequately test Prediction 2.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ Theoretical Implications · p. 5Making a seemingly minor change to 12 words (changing 'the' to 'your') in a multimedia lesson had a large effect on students' subsequent performance on tests of transfer, yielding effect sizes of 0.65, 1.07, and 0.72 across the three experiments, respectively.
“Making a seemingly minor change to 12 words (i.e., changing 'the' to 'your') in a multimedia lesson had a large effect on students' subsequent performance on tests of transfer-yielding effect sizes of 0.65, 1.07, and 0.72 across the three experiments, respectively.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Premisecitation§ Methodological Implications · p. 6Transfer is generally recommended as a better measure of learner understanding than retention.
“transfer is generally recommended as a better measure of learner understanding than retention (Anderson et al., 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Anderson et al., 2001
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone given§ Method · p. 3Participants were randomly assigned to a treatment group.
“Participants were tested in groups of 1 to 4 and were randomly assigned to a treatment group.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ Practical Implications · p. 6This set of experiments helps establish the robustness of the personalization effect and explores the conditions for the personalization effect (i.e., even a very modest change in the wording of the lesson is effective).
“Overall, this set of experiments helps establish the robustness of the personalization effect and explores the conditions for the personalization effect (i.e., even a very modest change in the wording of the lesson is effective).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone given§ Results and Discussion · p. 4The tests were scored by two raters; disagreements were resolved through consensus.
“The tests were scored by two raters; disagreements were resolved through consensus.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ Practical Implications · p. 6The present experiments obtained similar personalization effects in a new context-learning about the human respiratory system-greatly adding to the credibility of the personalization effect.
“Given the somewhat unexpected effects reported by Moreno and Mayer, it was worthwhile to determine whether similar effects could be obtained in a new contextlearning about the human respiratory system. The overwhelming answer is yes, greatly adding to the credibility of the personalization effect.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone given§ Method · p. 3The only difference between the personalized and nonpersonalized presentations was that 'the' was changed to 'your' at 12 places in the narration.
“The only difference between the personalized and nonpersonalized presentations was that 'the' (in the nonpersonalized version) was changed to 'your' (in the personalized version) at 12 places in the narration.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ A Personalization Effect in Multimedia Learning: Students Learn Better When Words Are in Conversational Style Rather Than Formal Style · p. 1Using words in a conversational style rather than a formal style is a technique to increase learner interest in computer-based multimedia presentations (personalization principle).
“Examples of techniques to increase learner interest in computerbased multimedia presentations include using a human voice rather than a machine voice (voice principle) and using words in a conversational style rather than a formal style (personalization principle).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ Results · p. 5There is not statistically significant evidence that personalization affects students' ratings of interest, but there is a trend in the predicted direction.
“Overall, there is not statistically significant evidence that personalization affects students' ratings of interest, but there is a trend in the predicted direction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown data§ Results · p. 5The interest rating findings of Experiment 3 were more encouraging and suggestive than the findings related to smiling in Experiment 2, in that the interest measure yielded a larger difference in the predicted direction, this time approaching significance.
“The interest rating findings of Experiment 3 were more encouraging and suggestive than the findings related to smiling in Experiment 2, in that the interest measure yielded a larger difference in the predicted direction, this time approaching significance.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ Methodological Implications · p. 6By using multiple measures, the study determined that although both groups remembered equivalent amounts of the presented text, the personalized group was better able to apply the material to new situations.
“By using multiple measures, we were able to determine that although both groups remembered equivalent amounts of the presented text, the personalized group was better able to apply the material to new situations.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone given§ Practical Implications · p. 6The personalization treatments used by Moreno and Mayer were somewhat heavy-handed and perhaps idiosyncratic, including adding a lot of new sentences to the instructional material.
“In addition, the personalization treatments used by Moreno and Mayer were somewhat heavy-handed and perhaps idiosyncratic, including adding a lot of new sentences to the instructional material.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Moreno and Mayer
Not checked in the free run.
The paper relies on this without support.
Both the personalized and nonpersonalized groups have adequate cognitive capacity for basic processing of the material and will pay attention to and encode the material.
“The rationale for this prediction is that both groups have adequate cognitive capacity for basic processing of the material and they both will pay attention to material and encode it”
The paper relies on this without support.
Both the personalized and nonpersonalized groups have adequate cognitive capacity for deeper processing.
“although both groups also have adequate cognitive capacity for deeper processing”
The paper relies on this without support.
Students in the personalized group will be more likely to use their cognitive capacity for organizing the material and integrating it with prior knowledge because they are more interested in understanding the material.
“students in the personalized group will be more likely to use that capacity for organizing the material and integrating it with prior knowledge because they are more interested in understanding the material.”
The paper relies on this without support.
The cognitive theory of multimedia learning correctly describes that personalization increases the learner's interest, which increases effort and deeper processing, leading to improved transfer performance.
“One answer to this question comes from the cognitive theory of multimedia learning: Personalization increases the learner's interest, increased interest causes the learner to exert more effort to engage in active cognitive processing during learning, and an increase in active cognitive processing during learning results in deeper learning, which is manifested in improved transfer performance.”
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?
People learn more deeply when the words in a multimedia presentation are in conversational style rather than formal style (personalization principle).
“For example, people learn more deeply when the words in a multimedia presentation are in conversational style rather than formal style (the personalization principle: e.g., Mayer et al. 2004;Moreno and Mayer 2004)”
From An Evolutionary Upgrade of Cognitive Load Theory: Using the Human Motor System and Collaboration to Support the Learning of Complex Cognitive Tasks (2012) · cites this paper as Mayer et al. 2004
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.
- Not confirmedt(25) = 0.594reported p = .557 · recomputed p = .558
“t (25) = 0.594, p = .557”
- Consistentt(60) = 2.17reported p = .034 · recomputed p = .034
“t (60) = 2.170, p = .034”
- Consistentt(25) = 2.516reported p = .019 · recomputed p = .019
“t (25) = 2.516, p = .019”
- Consistentt(30) = 1.087reported p = .286 · recomputed p = .286
“t (30) = 1.087, p = .286”
- Consistentt(30) = 2.177reported p = .037 · recomputed p = .037
“t (30) = 2.177, p = .037”
- Consistentt(30) = 1.56reported p = .129 · recomputed p = .129
“t (30) = 1.56, p = .129”
- Consistentt(30) = 0.324reported p = .748 · recomputed p = .748
“t (30) = 0.324, p = .748”
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.
Cites
(2001) · Cited by 13,930 · see citing works
Mayer, R. (2020) · doi:10.1017/9781316941355 · Cited by 7,777 · see citing works
Self-citationNine Ways to Reduce Cognitive Load in Multimedia Learning
Mayer, R. E., & Moreno, R. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_6 · Cited by 4,207 · see citing works
Self-citationCognitive Load Theory and Instructional Design: Recent Developments
Paas, F., Renkl, A., & Sweller, J. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_1 · Cited by 3,041 · see citing works
Mayer, R. E. (2001) · doi:10.1017/cbo9781139164603 · Cited by 2,304 · see citing works
Self-citationThe Role of interest in Learning and Development
Renninger, K. A., Hidi, S. E., Krapp, A., & Renninger, A. (2014) · Psychology Press eBooks · doi:10.4324/9781315807430 · Cited by 1,611 · see citing works
Mayer, R. E., & Sims, V. K. (1994) · Journal of Educational Psychology · doi:10.1037/0022-0663.86.3.389 · Cited by 1,191 · see citing works
Self-citation(1999) · Cited by 944 · see citing works
Taking the Load Off a Learner's Mind: Instructional Design for Complex Learning
van Merrienboer, J. J. G., Kirschner, P. A., & Kester, L. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_2 · Cited by 857 · see citing works
How seductive details do their damage: A theory of cognitive interest in science learning.
Harp, S. F., & Mayer, R. E. (1998) · Journal of Educational Psychology · doi:10.1037/0022-0663.90.3.414 · Cited by 855 · see citing works
Self-citationHarp, S. F., & Mayer, R. (1997) · Journal of Educational Psychology · doi:10.1037/0022-0663.89.1.92 · Cited by 508 · see citing works
Self-citationSocial cues in multimedia learning: role of speaker’s voice
Mayer, R. E., Sobko, K., & Mautone, P. D. (2003) · Journal of Educational Psychology · doi:10.1037/0022-0663.95.2.419 · Cited by 429 · see citing works
Self-citationEngaging students in active learning: The case for personalized multimedia messages.
Moreno, R., & Mayer, R. E. (2000) · Journal of Educational Psychology · doi:10.1037/0022-0663.92.4.724 · Cited by 371 · see citing works
Self-citationHarp, S. F., & Mayer, R. E. (1997) · Journal of Educational Psychology · doi:10.1037//0022-0663.89.1.92 · Cited by 299 · see citing works
Self-citationMultimedia learning : cognitive and instructional issues
Rouet, J., Levonen, J., & Biardeau, A. (2001) · Pergamon eBooks · Cited by 78 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mayer, R. (2008) · American Psychologist · doi:10.1037/0003-066x.63.8.760 · Cited by 823 · see citing works
Self-citationUsing multimedia for e‐learning
Mayer, R. E. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12197 · Cited by 747 · see citing works
Self-citationPaas, F., & Sweller, J. (2012) · Educational Psychology Review · doi:10.1007/s10648-011-9179-2 · Cited by 502 · see citing works
The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE)
Schneider, S., Beege, M., Nebel, S., Schnaubert, L., & Rey, G. D. (2021) · Educational Psychology Review · doi:10.1007/s10648-021-09626-5 · Cited by 351 · see citing works
Evidence-based principles for how to design effective instructional videos.
Mayer, R. E. (2021) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2021.03.007 · Cited by 333 · see citing works
Self-citationMayer, R. E. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139547369.017 · Cited by 329 · see citing works
Self-citationThe politeness effect: Pedagogical agents and learning outcomes
Wang, N., Johnson, W. L., Mayer, R. E., Rizzo, P., Shaw, E., & Collins, H. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2007.09.003 · Cited by 296 · see citing works
Self-citationMultimedia learning principles in different learning environments: a systematic review
Çeken, B., & Taşkın, N. (2022) · Smart Learning Environments · doi:10.1186/s40561-022-00200-2 · Cited by 277 · see citing works
Kennedy, J., Baxter, P. E., & Belpaeme, T. (2015) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2696454.2696457 · Cited by 256 · see citing works
Effects of podcast tours on tourist experiences in a national park
Kang, M., & Ulrike Gretzel, B. (2011) · Tourism Management · doi:10.1016/j.tourman.2011.05.005 · Cited by 248 · see citing works
Learning Theories and Education: Toward a Decade of Synergy
Bransford, J. D., Stevens, R., Schwartz, D., Meltzoff, A., Pea, R. D., Roschelle, J., Vye, N. J., Kuhl, P., Bell, P., Barron, B., et al. (2015) · Routledge eBooks · doi:10.4324/9780203874790.ch10 · Cited by 246 · see citing works
Screencast Tutorials Enhance Student Learning of Statistics
Lloyd, S. A., & Robertson, C. L. (2011) · Teaching of Psychology · doi:10.1177/0098628311430640 · Cited by 198 · see citing works
Mayer, R. E. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.014 · Cited by 195 · see citing works
Self-citationNebel, S., Schneider, S., & Rey, G. D. (2016) · Educational Technology & Society · Cited by 192 · see citing works
Effects of observing the instructor draw diagrams on learning from multimedia messages.
Fiorella, L., & Mayer, R. E. (2015) · Journal of Educational Psychology · doi:10.1037/edu0000065 · Cited by 165 · see citing works
Self-citationMayer, R. E. (2013) · Springer eBooks · doi:10.1007/978-1-4614-3185-5_31 · Cited by 154 · see citing works
Self-citationUsing a pedagogical agent to deliver conversational style instruction: What benefits can you obtain?
Lin, L., Ginns, P., Wang, T., & Zhang, P. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103658 · Cited by 150 · see citing works
A Cognitive Approach to Instructional Design for Multimedia Learning
Sorden, S. D. (2005) · Informing Science The International Journal of an Emerging Transdiscipline · doi:10.28945/498 · Cited by 149 · see citing works
Applying the Science of Learning to Multimedia Instruction
Mayer, R. E. (2011) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/b978-0-12-387691-1.00003-x · Cited by 142 · see citing works
Self-citationEvidence for effective uses of dynamic visualisations in science curriculum materials
McElhaney, K. W., Chang, H., Chiu, J. L., & Linn, M. C. (2014) · Studies in Science Education · doi:10.1080/03057267.2014.984506 · Cited by 141 · see citing works
Wang, F., Li, W., Mayer, R. E., & Liu, H. (2017) · Journal of Educational Psychology · doi:10.1037/edu0000221 · Cited by 136 · see citing works
Self-citationEffect of animated and interactive video variations on learners' motivation in distance Education
Tuğtekin, E. B., & Dursun, Ö. Ö. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10735-5 · Cited by 134 · see citing works
Navarrete, E., Nehring, A., Schanze, S., Ewerth, R., & Hoppe, A. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-025-00481-x · Cited by 132 · see citing works
Choi, S., & Clark, R. E. (2006) · Journal of Educational Computing Research · doi:10.2190/a064-u776-4208-n145 · Cited by 130 · see citing works
Zander, S., Reichelt, M., Wetzel, S., Kämmerer, F., & Bertel, S. (2015) · Frontline Learning Research · doi:10.14786/flr.v3i4.161 · Cited by 129 · see citing works
Decision-guided chatbots and cognitive styles in interdisciplinary learning
Iku-Silan, A., Hwang, G., & Chen, C. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104812 · Cited by 113 · see citing works
Designing Instructional Text in a Conversational Style: A Meta-analysis
Ginns, P., Martin, A. J., & Marsh, H. W. (2013) · Educational Psychology Review · doi:10.1007/s10648-013-9228-0 · Cited by 112 · see citing works
Nursing students’ perception of a web-based intervention to support learning
Koch, J., Andrew, S., Salamonson, Y., Everett, B., & Davidson, P. M. (2010) · Nurse Education Today · doi:10.1016/j.nedt.2009.12.005 · Cited by 104 · see citing works
Emotional text design in multimedia learning: A mixed-methods study using eye tracking
Stark, L., Brünken, R., & Park, B. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.02.003 · Cited by 99 · see citing works
Narrative-based learning: Possible benefits and problems
Glaser, M., Garsoffky, B., & Schwan, S. (2009) · Communications · doi:10.1515/comm.2009.026 · Cited by 84 · see citing works
Gupta, S., Bostrom, R. P., & Huber, M. (2010) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1899639.1899641 · Cited by 94 · see citing works
Improving instructional video design: A systematic review
Fyfield, M., Henderson, M., & Phillips, M. (2022) · Australasian Journal of Educational Technology · doi:10.14742/ajet.7296 · Cited by 90 · see citing works
Constructing computer-based tutors that are socially sensitive: Politeness in educational software
Mayer, R. E., Johnson, W. L., Shaw, E., & Sandhu, S. (2005) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.07.001 · Cited by 90 · see citing works
Self-citationUsing transparent whiteboards to boost learning from online STEM lectures
Stull, A. T., Fiorella, L., Gainer, M. J., & Mayer, R. E. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.02.005 · Cited by 89 · see citing works
Self-citationPloetzner, R., Berney, S., & Bétrancourt, M. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12476 · Cited by 87 · see citing works
How Multimedia Can Improve Learning and Instruction
Mayer, R. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108235631.019 · Cited by 84 · see citing works
Self-citationA politeness effect in learning with web-based intelligent tutors
McLaren, B. M., DeLeeuw, K. E., & Mayer, R. E. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.09.001 · Cited by 82 · see citing works
Self-citationEight guidelines for the design of instructional videos for software training
van der Meij, H., & van der Meij, J. (2013) · University of Twente Research Information · Cited by 82 · see citing works
Does multimedia learning theory extend to middle-school students?
McTigue, E. (2009) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2008.12.003 · Cited by 90 · see citing works
How distance education students perceive the impact of teaching videos on their learning
Harrison, T. (2019) · Open Learning The Journal of Open Distance and e-Learning · doi:10.1080/02680513.2019.1702518 · Cited by 79 · see citing works
Cognitive load in interactive knowledge construction
Verhoeven, L. T. W., Schnotz, W., & PAAS, F. G. W. C. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.002 · Cited by 77 · see citing works
Contextualization in Perspective
Son, J. Y., & Goldstone, R. L. (2008) · Cognition and Instruction · doi:10.1080/07370000802584539 · Cited by 71 · see citing works
Reviews in instructional video
van der Meij, H. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.07.002 · Cited by 69 · see citing works
The personalization effect in multimedia learning: The influence of dialect
Rey, G. D., & Steib, N. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.04.003 · Cited by 66 · see citing works
Does language matter in multimedia learning? Personalization principle revisited.
Kartal, G. (2010) · Journal of Educational Psychology · doi:10.1037/a0019345 · Cited by 63 · see citing works
Park, S. (2015) · Educational Technology & Society · Cited by 62 · see citing works
Bol, N., van Weert, J. C. M., de Haes, J. C. J. M., Loos, E. F., & Smets, E. M. A. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4164 · Cited by 58 · see citing works
Talk to me personally: Personalization of language style in computer-based learning
Reichelt, M., Kämmerer, F., Niegemann, H. M., & Zander, S. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.005 · Cited by 54 · see citing works
Cognitive processes in children's multimedia text learning
Segers, E., Verhoeven, L. T. W., & Hulstijn‐Hendrikse, N. (2008) · Applied Cognitive Psychology · doi:10.1002/acp.1413 · Cited by 53 · see citing works
Toward Spoken Human–Computer Tutorial Dialogues
D’Mello, S. K., Graesser, A. C., & King, B. G. (2010) · Human-Computer Interaction · doi:10.1080/07370024.2010.499850 · Cited by 50 · see citing works
Designing multimedia instruction in anatomy: An evidence‐based approach
Mayer, R. E. (2018) · Clinical Anatomy · doi:10.1002/ca.23265 · Cited by 48 · see citing works
Self-citationHow recorded audio-visual feedback can improve academic language support
Cavaleri, M., Kawaguchi, S., Biase, B. D., & Power, C. (2019) · Journal of University Teaching and Learning Practice · doi:10.53761/1.16.4.6 · Cited by 48 · see citing works
Moreno, R., & Mayer, R. E. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.010 · Cited by 46 · see citing works
Self-citationScreencast Video Feedback in Online TESOL Classes
Cheng, D., & Li, M. (2020) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2020.102612 · Cited by 46 · see citing works
Walkington, C., Clinton‐Lisell, V., & Sparks, A. (2019) · Instructional Science · doi:10.1007/s11251-019-09481-6 · Cited by 45 · see citing works
Effects of different AI-driven Chatbot feedback on learning outcomes and brain activity
Yin, J., Xu, H., Pan, Y., & Hu, Y. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00311-8 · Cited by 41 · see citing works
Walkington, C., Clinton‐Lisell, V., RITTER, S., & Nathan, M. J. (2015) · Journal of Educational Psychology · doi:10.1037/edu0000036 · Cited by 40 · see citing works
Testing Communication Strategies to Convey Genomic Concepts Using Virtual Reality Technology
Kaphingst, K. A., Persky, S., McCall, C., Lachance, C. R., Beall, A. C., & Blascovich, J. (2009) · Journal of Health Communication · doi:10.1080/10810730902873927 · Cited by 38 · see citing works
Interactive Storytelling: Opportunities for Online Course Design
Baldwin, S., & Ching, Y. (2016) · TechTrends · doi:10.1007/s11528-016-0136-2 · Cited by 37 · see citing works
Brom, C., Bromová, E., Děchtěrenko, F., Buchtová, M., & Pergel, M. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.11.013 · Cited by 36 · see citing works
Perception Engineering Learning With Virtual Reality
Bohné, T., Heine, I., Gürerk, Ö., Rieger, C., Kemmer, L., & Cao, L. Y. (2021) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2021.3107407 · Cited by 36 · see citing works
Stiller, K. D., & Jedlicka, R. (2010) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1107 · Cited by 36 · see citing works
Three Decades of Research and Professional Practice on Printed Software Tutorials for Novices
van der Meij, H., Karreman, J., & Steehouder, M. F. (2009) · University of Twente Research Information · Cited by 36 · see citing works
Dressen‐Hammouda, D., & Wigham, C. R. (2022) · System · doi:10.1016/j.system.2022.102727 · Cited by 35 · see citing works
Using Educational Chatbots with Metacognitive Feedback to Improve Science Learning
Yin, J., Zhu, Y., Goh, T., Wu, W., & Hu, Y. (2024) · Applied Sciences · doi:10.3390/app14209345 · Cited by 35 · see citing works
An inverted personalization effect when learning with multimedia: The case of aversive content
Kühl, T., & Zander, S. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.01.013 · Cited by 34 · see citing works
Astatin, G. R., & Nurcahyo, H. (2016) · Jurnal Inovasi Pendidikan IPA · doi:10.21831/jipi.v2i2.10966 · Cited by 33 · see citing works
How-to videos on YouTube: the role of the instructor
Utz, S., & Wolfers, L. N. (2020) · Information Communication & Society · doi:10.1080/1369118x.2020.1804984 · Cited by 33 · see citing works
How charismatic trainers inspire others to learn through positive affectivity
Towler, A. J., Arman, G., Quesnell, T. J., & Hoffman, L. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.12.002 · Cited by 29 · see citing works
van de Weijer‐Bergsma, E., & van der Ven, S. H. G. (2021) · Learning and Individual Differences · doi:10.1016/j.lindif.2021.101982 · Cited by 28 · see citing works
Personalization enhances learning anatomy terms
Ginns, P., & Fraser, J. (2010) · Medical Teacher · doi:10.3109/01421591003692714 · Cited by 28 · see citing works
Day, S. B., Motz, B. A., & Goldstone, R. L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01876 · Cited by 27 · see citing works
Scaffolding appreciation for school learning: An update
Brophy, J. (2008) · Advances in motivation and achievement · doi:10.1016/s0749-7423(08)15001-4 · Cited by 27 · see citing works
Schneider, S., Nebel, S., Pradel, S., & Rey, G. D. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.052 · Cited by 26 · see citing works
Rickley, M., & Kemp, P. S. (2020) · The Electronic Journal of e-Learning · doi:10.34190/ejel.19.3.2297 · Cited by 26 · see citing works
Cromley, J. G., & Chen, R. (2025) · Educational Research Review · doi:10.1016/j.edurev.2025.100730 · Cited by 25 · see citing works
Hong, J., Hwang, M., Tai, K., & Lin, P. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9628-4 · Cited by 25 · see citing works
Principles Based on Social Cues in Multimedia Learning
Fiorella, L., & Mayer, R. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108894333.029 · Cited by 25 · see citing works
Self-citationEngaging physics teacher-candidates in the production of science demonstration videos
Tembrevilla, G., & Milner‐Bolotin, M. (2019) · Physics Education · doi:10.1088/1361-6552/aaf95d · Cited by 25 · see citing works
Instructional Video Design: Investigating the Impact of Monologue- and Dialogue-style Presentations
Lee, B., & Muldner, K. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376845 · Cited by 24 · see citing works
NewsPod: Automatic and Interactive News Podcasts
Laban, P., Ye, E., Korlakunta, S., Canny, J., & Hearst, M. A. (2022) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3490099.3511147 · Cited by 24 · see citing works
Brom, C., Hannemann, T., Stárková, T., Bromová, E., & Děchtěrenko, F. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.01.001 · Cited by 24 · see citing works
Schrader, C., Reichelt, M., & Zander, S. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9588-8 · Cited by 24 · see citing works
Ciccone, A., & Hounslow, L. (2019) · Journal of University Teaching and Learning Practice · doi:10.53761/1.16.1.11 · Cited by 24 · see citing works
Zhang, Y., & Yang, J. (2022) · Brain Sciences · doi:10.3390/brainsci12070946 · Cited by 23 · see citing works
Personalization Principle in Multimedia Learning: Conversational versus Formal Style in Written Word
Kurt, A. A. (2011) · The Turkish Online Journal of Educational Technology · Cited by 22 · see citing works
Dutke, S., Grefe, A. C., & Leopold, C. (2015) · European Journal of Psychology of Education · doi:10.1007/s10212-015-0281-6 · Cited by 22 · see citing works
Carmel, A., Cornelius‐Schecter, A., Frankel, B., Jannat‐Khah, D., Sinha, S., Pelzman, F. N., & Safford, M. M. (2019) · Patient Education and Counseling · doi:10.1016/j.pec.2019.03.001 · Cited by 21 · see citing works
Interactive Multimedia Module with Pedagogical Agents: Formative Evaluation
Lee, T. T., & Osman, K. (2012) · International Education Studies · doi:10.5539/ies.v5n6p50 · Cited by 21 · see citing works
"Scholarship Reconsidered": Reconsidered
Bowden, R. (2007) · Indiana Magazine of History (Indiana University) · Cited by 21 · see citing works
Applied linguistics and language education research in Turkey: 2016–2022
Ortaçtepe, D., & Mathews-Aydınlı, J. (2023) · Language Teaching · doi:10.1017/s0261444823000198 · Cited by 20 · see citing works
Crook, C. K., & Cluley, R. (2009) · Learning Media and Technology · doi:10.1080/17439880903141570 · Cited by 19 · see citing works
Désiron, J. C., Bétrancourt, M., & de Vries, E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.592509 · Cited by 18 · see citing works
Does personalization matter? The role of social cues in instructional explanations
Schworm, S., & Stiller, K. D. (2012) · Intelligent Decision Technologies · doi:10.3233/idt-2012-0127 · Cited by 18 · see citing works
Student learning and sense-making from video lectures
Weinberg, A., & Thomas, M. (2018) · International Journal of Mathematical Education in Science and Technology · doi:10.1080/0020739x.2018.1426794 · Cited by 18 · see citing works
The impact of blended learning in developing students' writing skills: Hawassa University in focus
Geta, M., & Olango, M. (2016) · African Educational Research Journal · Cited by 18 · see citing works
Papeos: Augmenting Research Papers with Talk Videos
Kim, T. S., Latzke, M., Bragg, J., Zhang, A. X., & Chang, J. C. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586183.3606770 · Cited by 17 · see citing works
Instructional design for the development of digital educational contents for smartphones
Pérez, C. D., Sandoval, J. O., & Ornelas, M. L. (2018) · Apertura · doi:10.32870/ap.v10n2.1346 · Cited by 17 · see citing works
Extending social cue based principles of multimedia learning beyond their immediate effects
Töpper, J., Glaser, M., & Schwan, S. (2013) · Learning and Instruction · doi:10.1016/j.learninstruc.2013.07.002 · Cited by 17 · see citing works
Value of Web-Based Learning Activities for Nursing Students Who Speak English as a Second Language
Koch, J., Salamonson, Y., Du, H., Andrew, S., Frost, S. A., Dunncliff, K., & Davidson, P. M. (2011) · Journal of Nursing Education · doi:10.3928/01484834-20110331-02 · Cited by 16 · see citing works
- Authors
- Mayer, R. E., Fennell, S., Farmer, L., & Campbell, J.
- Affiliations
- University of California, Santa Barbara (US)
- ORCID
- Mayer, Richard E.
- Venue
- Journal of Educational Psychology
- Published
- 2004-06
- Volume
- 96
- Issue
- 2
- Pages
- 389-395
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- OpenAlex
- W2096394886
- Semantic Scholar
- 13bc860cf6f55b6f221d447b65c42733cd80fbc7
- Cited by
- 298
- References
- 14
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 9 · 2023: 13 · 2022: 11 · 2021: 22 · 2020: 11 · 2019: 17 · 2018: 18 · 2017: 14 · 2016: 13 · 2015: 19 · 2014: 21 · 2013: 22 · 2012: 14
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
- Keywords
- personalization, conversational style, formal style, narrative style, multimedia learning, cognitive theory of multimedia learning, transfer, retention, respiratory system, active processing
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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 ›
Are you an author, or do you see a problem with this page? Request a review