Abstract:The accuracy of comprehension monitoring affects the effectiveness of rereading, which in turn affects comprehension. Thus, much research has focused on finding ways to improve monitoring accuracy. The cue-utilization framework of metacognitive monitoring provides a framework for understanding how to improve monitoring accuracy. It suggests that accuracy is driven by cues people use to judge comprehension. When people utilize cues that are highly diagnostic of performance on a test of comprehension, accuracy s… Show more
“…Some situation-model-approach interventions support the generation of situation-model cues. They do so either by requiring encoding on the situation-model level, as is the case for selfexplaining and concept mapping, or by requiring retrieval of the situation model, as is the case for delayed-generation tasks (Thiede et al 2019).…”
Section: Cue-generation Interventionsmentioning
confidence: 99%
“…By considering the relevance of textual information and trying to make inferences during self-explaining, learners simultaneously construct and reflect on their situation model, generating situation-model cues. Hence, in contrast to delayed-generation tasks, which prompt learners to draw on an already constructed situation model (i.e., retrieval-based cue-generation intervention), self-explaining encourages learners to focus on their situation model during reading (i.e., encoding-based cue-generation intervention; Thiede et al 2019). Relatedly, in contrast to delayed-generation tasks, which need to be performed after a time lag to increase access to situation-model cues, self-explaining directly involves the situation model, making a delay superfluous (see, e.g., also Griffin et al 2019a;Wiley et al 2016b).…”
Section: Cue-generation Interventionsmentioning
confidence: 99%
“…This eases working-memory demands that can be devoted to monitoring. Second, similar to self-explaining, concept mapping promotes learners not only to build a situation model but also to reflect on it, generating situation-model cues (i.e., encoding-based cue-generation intervention; Thiede et al 2019;see, e.g., also Redford et al 2012;Wiley et al 2016b). Supporting this assumption, Thiede et al (2010, Experiment 2) found that learners used their perception of how many appropriate connections between concepts they could make in a concept map as a situation-model cue for predicting their comprehension, which led to an increased accuracy level.…”
Section: Cue-generation Interventionsmentioning
confidence: 99%
“…This theoretical distinction has been empirically supported as the effects of self-explaining (cue-generation intervention) were nonoverlapping with the effects of rereading (cue-attention intervention) and setting a comprehension-test expectancy (cue-selection intervention; Griffin et al 2008, Experiment 2;Griffin et al 2019b, Experiment 4;Wiley et al 2008, Experiment 2). Furthermore, Thiede et al (2019) suggested to distinguish between encoding-based and retrieval-based cue-generation interventions. Some cue-generation interventions, namely self-explaining and concept mapping, encourage learners to encode a text in a manner that supports the construction of a situation model and thus the availability of situation-model cues, whereas other cue-generation interventions, namely delayed-generation tasks, promote learners to retrieve information about their situation model after reading and hence the availability of situation-model cues.…”
Section: The Present Studymentioning
confidence: 99%
“…& For each particular intervention (i.e., with a similar implementation), more than one study had to meet the criteria for inclusion described so far. This led to the exclusion of the following interventions: generating drawings (Schleinschok et al 2017;Thiede et al 2019; but see Van de Pol et al 2020, for an overview on the impact of drawing and mapping activities), generating explanations for others (Fukaya 2013), generating and answering questions (Bugg and McDaniel 2012), receiving advanced organizers (Dunlosky et al 2002), reading texts with analogies (Wiley et al 2018), and completing sentence-sorting tasks (Thomas and McDaniel 2007). The following interventions remained for inclusion: delayed-summary writing, delayed-keywords listing, delayeddiagram completion, self-explaining, concept mapping, rereading, and setting a comprehension-test expectancy.…”
Section: Literature Search and Study Selectionmentioning
This meta-analysis investigated the extent to which relative metacomprehension accuracy can be increased by interventions that aim to support learners’ use of situation-model cues as a basis for judging their text comprehension. These interventions were delayed-summary writing, delayed-keywords listing, delayed-diagram completion, self-explaining, concept mapping, rereading, and setting a comprehension-test expectancy. First, the general effectiveness of situation-model-approach interventions was examined. The results revealed that, across 28 effect sizes (comprising a total of 2,236 participants), situation-model-approach interventions exerted a medium positive effect (g = 0.46) on relative metacomprehension accuracy. Second, the interventions were examined individually. The results showed that, with the exception of self-explaining, each intervention had a significant positive effect on relative metacomprehension accuracy. Yet, there was a tendency for setting a comprehension-test expectancy to be particularly effective. A further meta-analysis on comprehension in the selected studies revealed that, overall, the situation-model-approach interventions were also beneficial for directly improving comprehension, albeit the effect was small. Taken together, the findings demonstrate the utility of situation-model-approach interventions for supporting self-regulated learning from texts.
“…Some situation-model-approach interventions support the generation of situation-model cues. They do so either by requiring encoding on the situation-model level, as is the case for selfexplaining and concept mapping, or by requiring retrieval of the situation model, as is the case for delayed-generation tasks (Thiede et al 2019).…”
Section: Cue-generation Interventionsmentioning
confidence: 99%
“…By considering the relevance of textual information and trying to make inferences during self-explaining, learners simultaneously construct and reflect on their situation model, generating situation-model cues. Hence, in contrast to delayed-generation tasks, which prompt learners to draw on an already constructed situation model (i.e., retrieval-based cue-generation intervention), self-explaining encourages learners to focus on their situation model during reading (i.e., encoding-based cue-generation intervention; Thiede et al 2019). Relatedly, in contrast to delayed-generation tasks, which need to be performed after a time lag to increase access to situation-model cues, self-explaining directly involves the situation model, making a delay superfluous (see, e.g., also Griffin et al 2019a;Wiley et al 2016b).…”
Section: Cue-generation Interventionsmentioning
confidence: 99%
“…This eases working-memory demands that can be devoted to monitoring. Second, similar to self-explaining, concept mapping promotes learners not only to build a situation model but also to reflect on it, generating situation-model cues (i.e., encoding-based cue-generation intervention; Thiede et al 2019;see, e.g., also Redford et al 2012;Wiley et al 2016b). Supporting this assumption, Thiede et al (2010, Experiment 2) found that learners used their perception of how many appropriate connections between concepts they could make in a concept map as a situation-model cue for predicting their comprehension, which led to an increased accuracy level.…”
Section: Cue-generation Interventionsmentioning
confidence: 99%
“…This theoretical distinction has been empirically supported as the effects of self-explaining (cue-generation intervention) were nonoverlapping with the effects of rereading (cue-attention intervention) and setting a comprehension-test expectancy (cue-selection intervention; Griffin et al 2008, Experiment 2;Griffin et al 2019b, Experiment 4;Wiley et al 2008, Experiment 2). Furthermore, Thiede et al (2019) suggested to distinguish between encoding-based and retrieval-based cue-generation interventions. Some cue-generation interventions, namely self-explaining and concept mapping, encourage learners to encode a text in a manner that supports the construction of a situation model and thus the availability of situation-model cues, whereas other cue-generation interventions, namely delayed-generation tasks, promote learners to retrieve information about their situation model after reading and hence the availability of situation-model cues.…”
Section: The Present Studymentioning
confidence: 99%
“…& For each particular intervention (i.e., with a similar implementation), more than one study had to meet the criteria for inclusion described so far. This led to the exclusion of the following interventions: generating drawings (Schleinschok et al 2017;Thiede et al 2019; but see Van de Pol et al 2020, for an overview on the impact of drawing and mapping activities), generating explanations for others (Fukaya 2013), generating and answering questions (Bugg and McDaniel 2012), receiving advanced organizers (Dunlosky et al 2002), reading texts with analogies (Wiley et al 2018), and completing sentence-sorting tasks (Thomas and McDaniel 2007). The following interventions remained for inclusion: delayed-summary writing, delayed-keywords listing, delayeddiagram completion, self-explaining, concept mapping, rereading, and setting a comprehension-test expectancy.…”
Section: Literature Search and Study Selectionmentioning
This meta-analysis investigated the extent to which relative metacomprehension accuracy can be increased by interventions that aim to support learners’ use of situation-model cues as a basis for judging their text comprehension. These interventions were delayed-summary writing, delayed-keywords listing, delayed-diagram completion, self-explaining, concept mapping, rereading, and setting a comprehension-test expectancy. First, the general effectiveness of situation-model-approach interventions was examined. The results revealed that, across 28 effect sizes (comprising a total of 2,236 participants), situation-model-approach interventions exerted a medium positive effect (g = 0.46) on relative metacomprehension accuracy. Second, the interventions were examined individually. The results showed that, with the exception of self-explaining, each intervention had a significant positive effect on relative metacomprehension accuracy. Yet, there was a tendency for setting a comprehension-test expectancy to be particularly effective. A further meta-analysis on comprehension in the selected studies revealed that, overall, the situation-model-approach interventions were also beneficial for directly improving comprehension, albeit the effect was small. Taken together, the findings demonstrate the utility of situation-model-approach interventions for supporting self-regulated learning from texts.
For (facilitating) effective learning from texts, students and teachers need to accurately monitor students’ comprehension. Monitoring judgments are accurate when they correspond to students’ actual comprehension. Accurate monitoring enables accurate (self-)regulation of the learning process, i.e., making study decisions that are in line with monitoring judgments and/or students’ comprehension. Yet, (self-)monitoring accuracy is often poor as the information or cues used are not always diagnostic (i.e., predictive) for students’ actual comprehension. Having students engage in generative activities making diagnostic cues available improves monitoring and regulation accuracy. In this review, we focus on generative activities in which text is transformed into visual representations using mapping and drawing (i.e., making diagrams, concept maps, or drawings). This has been shown to improve monitoring and regulation accuracy and is suited for studying cue diagnosticity and cue utilization. First, we review and synthesize findings of studies regarding (1) students’ monitoring accuracy, regulation accuracy, learning, cue diagnosticity, and cue utilization; (2) teachers’ monitoring and regulation accuracy and cue utilization; and (3) how mapping and drawing affect using effort as a cue during monitoring and regulation, and how this affects monitoring and regulation accuracy. Then, we show how this research offers unique opportunities for future research on advancing measurements of cue diagnosticity and cue utilization and on how effort is used as a cue during monitoring and regulation. Improving measures of cue diagnosticity and cue utilization can provide us with more insight into how students and teachers monitor and regulate students’ learning, to help design effective interventions to foster these important skills.
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