Fostering active processing of instructional explanations of learners with high and low prior knowledge

Despite the potential advantages of instructional explanations, evidence indicates that they are usually ineffective. Subsequent work has shown that in order to make instructional explanations effective indeed, one successful strategy is to combine them with indications of the limitations in learners' understanding that they are intended to revise, which makes learners deeply process the explanations. We explored whether this is so for both learners with low and those with high prior domain knowledge. In one experiment, 77 participants with low and high prior knowledge learned about plate tectonics from a multimedia presentation. In addition to the presentation, half the participants received instructional explanations combined with indications, whereas the rest received instructional explanations with no indications. After using the materials, the participants solved retention and transfer tests. Results showed that low prior knowledge learners learned more from explanations including indications of their misunderstandings, whereas high prior knowledge learners profited from instructional explanations either with or without the indications. We discussed theoretical and practical implications.     

Does the detection of misunderstanding lead to its revision?

When dealing with complex conceptual systems, low-prior- knowledge learners develop fragmentary and incorrect understanding. To learn complex topics deeply, these learners have to (a) monitor understanding to detect flaws and (b) generate explanations to revise and repair the flaws. In this research we explored if the detection of a flaw in understanding does lead to the generation of a revising explanation or, alternatively, if there is some independence between the two processes. In two studies participants with low prior domain knowledge learned about plate tectonics from a multimedia presentation. In Study 1 participants in two conditions received support for detection and their performance was compared to that of participants in two control conditions, one receiving no support and another one receiving support for both detection and revision. Performance on retention, transfer, and distortions revealed that the conditions with support for detection were not different from that with no support. The condition with support for both detection and revision was significantly better than all others. In Study 2 participants thought aloud while studying from the presentation. Self-generated detections were not correlated with revising explanations or with performance on retention or transfer measures. Overall, the results indicate that the detection of flaws in understanding does not necessarily lead to the generation of explanations to repair the flaws, meaning that this latter process is very difficult to execute and calls for instructional support.     

Two instructional aids to optimise processing and learning from instructional explanations

Although instructional explanations are commonly used to introduce learners to new learning content, previous studies have often shown that their effects on learning outcomes are minimal. This failure might partly be due to mental passivity of the learners while processing introductory explanations and to a lack of opportunity to revise potential misunderstandings after working on introductory explanations. Against this background, we provided learners with two instructional support measures to optimise the introduction of new principles and concepts by providing instructional explanations in the domain of management theory: (a) prompts designed to induce inferences that are focused on the central content of the explanations, and (b) remedial explanations that are adapted to the learners’ knowledge gaps. We tested their effects in a 2 × 2 factorial experimental design with the following factors: (a) prompts designed to induce focused processing (with vs. without), and (b) remedial explanations (adapted vs. random). The participants consisted of 80 psychology students. We found that the prompts fostered both the share of deep-oriented processing and the acquisition of conceptual knowledge. The beneficial effect of prompts on conceptual knowledge was mediated by the number of inferences that learners generated in response to the prompts. In addition, we found that prompts also fostered the instructional efficiency of providing instructional explanations. The provision of adapted remedial explanations, however, fostered neither deep-oriented processing nor the acquisition of conceptual knowledge. We conclude that prompts designed to induce focused processing can foster deep-oriented processing as well as both the effectiveness and efficiency of learning from instructional explanations.     

How to Foster Active Processing of Explanations in Instructional Communication

In instructional communication settings, instructional explanations play an important role. Despite the very common use of instructional explanations, empirical studies show that very often, they have no positive effects on learning outcomes. This ineffectiveness might be due to mental passivity of the recipient learners that leads to shallow processing of the explanations. Against this background, we introduce several types of instructional assistance to foster active processing of written instructional explanations in asynchronous computer-mediated instructional communication settings. The findings of three experiments showed that prompts or training for focused processing regarding the central principles and concepts of the explanation are especially effective with respect to fostering learning outcomes.     

The expertise reversal effect in prompting focused processing of instructional explanations

Providing prompts to induce focused processing of the central contents of instructional explanations is a promising instructional means to support novice learners in learning from instructional explanations. However, within research on the expertise reversal effect it has been shown that instructional means that are beneficial for novices can be detrimental for learners with more expertise if the instructional means provide guidance that overlaps with the internal guidance provided by the prior knowledge of learners with more expertise. Under such circumstances, prompts to induce focused processing might even be detrimental for learners with expertise whose prior knowledge already provides internal guidance to learn from explanations. On this basis, we aimed at experimentally varying expertise by developing prior knowledge. Specifically, we used a preparation intervention with contrasting cases to enhance learners’ prior knowledge (expertise). Against this background, we tested 71 university students in a 2 × 2 factorial experimental design: (a) Factor of expertise. Working with contrasting cases to develop prior knowledge and expertise to provide internal guidance to learn from instructional explanations (with vs. without), (b) Factor of prompts. Prompts to induce focused processing of the explanations (with vs. without). The results showed that prompts to induce focused processing fostered conceptual knowledge for novice learners whereas prompts hindered the acquisition of conceptual knowledge for learners with expertise that was developed by working with contrasting cases beforehand. Moreover, measures of subjective cognitive load and learning processes suggest that the instructional guidance provided by prompts compensated for the low internal guidance of novice learners and overlapped with the internal guidance of learners with expertise.     

Effects of self-regulatory instructional aids on self-directed study

This study examined the effectiveness of providing instructional support for the self-regulation of a self-directed homework assignment. Across four parallel experiments, university students completed an online module on critical thinking. In Experiment 1, participants who were prompted on a broad spectrum of study strategies showed superior performance on a subsequent test of application relative to a control group. In Experiment 2, participants were prompted to use two specific strategies: generation of explanations and summarization. The former improved performance, whereas the latter did not. In Experiment 3, instructional aids designed to facilitate planning improved some aspects of performance relative to the control group. In Experiment 4, attempts to encourage self-feedback impaired performance. In conclusion, beyond encouraging a broad spectrum of study strategies, the generation of explanations and planning particularly improve learning without overburdening working memory.     

Example-based learning: The benefits of prompting organization before providing examples

Example-based learning often follows a design in which learners first receive instructional explanations that communicate new principles and concepts and second examples thereof. In this setting, using the knowledge components of the instructional explanations to explain the examples (i.e., generating principle-based self-explanations) is considered to be a highly important learning process. However, a potential suboptimality of this learning process is that it scarcely requires learners to organize the content of the instructional explanations into coherent mental representations. Thus, in two experiments we investigated whether prompting learners to organize the content of the instructional explanations before providing them with the examples (and self-explanation prompts) enhances the effectiveness of example-based learning. We consistently found that organization prompts fostered learning regardless of whether the learners also received self-explanation prompts. Hence, in example-based learning, learners should be prompted to not only generate principle-based self-explanations but also to organize the content of the instructional explanations.     

How Effective are Instructional Explanations in Example-Based Learning? A Meta-Analytic Review

The worked example effect within cognitive load theory is a very well-established finding. The concrete effectiveness of worked examples in a learning situation, however, heavily depends on further moderating factors. For example, if learners improve their processing of worked examples by actively explaining the worked examples to themselves, they are usually better able to solve transfer problems. Another way to enhance example processing is to present learners with instructional explanations instead of prompting them to produce these explanations on their own. In this article, we review 21 experimental studies to address the issue whether instructional explanations support example-based learning. Meta-analytic results lead to three important conclusions: First, the benefits of instructional explanations for example-based learning per se are minimal. Second, instructional explanations are more helpful for acquiring conceptual knowledge than for acquiring procedural knowledge. Third, instructional explanations are not necessarily more effective than other methods supporting example processing such as self-explaining.     

Guided self-management of transient information in animations through pacing and sequencing strategies

Learning with instructional animations may overstretch limited working memory resources due to intense processing demands associated with transient information. The authors investigated whether explicit instructional advice coupled with a task-specific learner control mechanism (such as a timeline scrollbar) could facilitate the successful self-management of transient information. The effectiveness of a timeline scrollbar that allowed self-pacing and self-sequencing of animations was compared with computer-controlled animations. Experiment 1 demonstrated that a timeline scrollbar (with instructional advice on its strategic use) enhanced the retention of stroke sequences in writing Chinese characters. In Experiment 2, a timeline scrollbar was used in an integrated set of narrated animations dealing with complex scientific information. Retention and comprehension post-tests indicated that although a scrollbar accompanied by instructional advice in its use assisted novice learners, no such effect was found with participants who possessed higher levels of prior knowledge. The findings have implications for the formulation of criteria for the effective incorporation of learner control into the design of instructional animations.     

Using a Diagnosis-Based Approach to Individualize Instructional Explanations in Computer-Mediated Communication

To maximize the effectiveness of instructional explanations, they should be tailored to an individual learner. However, instructors are often not able to collect diagnostically relevant information about a learner to individualize their explanations. This is particularly true in computer-mediated settings where it is more difficult to thoroughly assess a learner’s understanding. We present an approach that provides instructors in asynchronous and text-based computer-mediated communication settings with information about a learner’s understanding that has sufficient diagnostic power to enable them to generate learner-tailored explanations. A series of experiments testing this approach suggest several conclusions. First, instructors need information about a learner to individualize explanations. Second, instructors are able to design explanations that are specifically adapted to a learner’s individual understanding. Third, learner-tailored explanations facilitate the processing of new information and make instructional communication more efficient. Fourth, learner-tailored explanations enhance a deep understanding of the information processed and make instructional communication more effective.     

Expertise reversal effect in using explanatory notes for readers of Shakespearean text

The reported study compared the instructional effectiveness of Modern English explanatory interpretations of Shakespearean play extracts integrated line by line into original Elizabethan English text, with a conventional unguided original text condition. Experiment 1 demonstrated that the explanatory notes group reported a lower cognitive load and performed better in a comprehension test than the control group when students had no prior knowledge of the text. In Experiment 2, a reverse effect occurred when the same material was presented to a group of Shakespearean experts. Experiment 3 replicated the results of Experiment 1 using a different Shakespearean play. The study demonstrated that the relative effectiveness of instructional conditions depended on learner levels of expertise. In accordance with the expertise reversal effect, the benefits of guided instruction reversed and became detrimental for learners with high prior knowledge levels. Retrospective verbal protocols indicated that the explanations were redundant for expert readers.     

Learning by writing explanations: Is explaining to a fictitious student more effective than self-explaining?

Research has demonstrated that oral explaining to a fictitious student improves learning. Whether these findings replicate, when students are writing explanations, and whether instructional explaining is more effective than other explaining strategies, such as self-explaining, is unclear. In two experiments, we compared written instructional explaining to written self-explaining, and also included written retrieval and a baseline control condition. In Experiment 1 (N = 147, between-participants-design, laboratory experiment), we obtained no effect of explaining. In Experiment 2 (N = 50, within-participants-design, field-experiment), only self-explaining was more effective than our control conditions for attaining transfer. Self-explaining was more effective than instructional explaining. A cumulating meta-analysis on students’ learning revealed a small effect of instructional explaining on conceptual knowledge (g = 0.22), which was moderated by the modality of explaining (oral explaining > written explaining). These findings indicate that students who write explanations are better off self-explaining than explaining to a fictitious student.     

Embellishing Problem-Solving Examples with Deep Structure Information Facilitates Transfer

Appreciation of problem structure is critical to successful learning. Two experiments investigated effective ways of communicating problem structure in a computer-based learning environment and tested whether verbal instruction is necessary to specify solution steps, when deep structure is already embellished by instructional examples. Participants learned to solve algebra-like problems and then solved transfer problems that required adjustment of learned procedures. Experiment 1 demonstrated that verbal instruction helped learning by reducing learners' floundering, but its positive effect disappeared in the transfer. More importantly, students transferred better when they studied with examples that emphasized problem structure rather than solution procedure. Experiment 2 showed that verbal instruction was not necessarily more effective than nonverbal scaffolding to convey problem structure. Final understanding was determined by transparency of problem structure regardless of presence of verbal instruction. However, verbal instruction had a positive impact on learners by having them persist through the task, and optimal instructional choices were likely to differ depending on populations of learners.     

What you see is what you remember? Depictions of historical figures influence memory for historical facts

We investigated whether the characteristics of pictures affect memory for verbal learning materials. In the learning phase, participants watched a slideshow about historical figures that were depicted as more or as less powerful. The slideshow included spoken information that was more prototypical for either powerful or powerless people and thus semantically congruent (e.g., depiction and verbal information rated as powerful) or incongruent with the pictures. Congruency resulted in more errors when participants had to reject incorrect items in a memory test. There was no effect of congruency on verifying correct items. This pattern was observed for a slideshow that included one picture for each historical figure (Experiment 1) and for a slideshow including additional pictures (Experiment 2). Hence, both experiments provide corroborating evidence that pictures affect learners’ memory for verbal learning materials. These findings are relevant for instructional practice with regard to the design of learning materials and test items.     

Learning mathematics from worked-out examples: Analyzing and fostering self-explanations

Recent research has shown that learning from worked-out examples is of major importance for initial skill acquisition in well-structured domains such as mathematics. However, only those learners who actively process the presented examples profit noticeably from this learning mode. Specifically, the learning outcomes depend on how well the learners explain the solution steps presented in the examples to themselves (‘self-explanation effect”). In a series of studies on learning mathematics from examples, learners’ spontaneous self-explanations and instructional means used to encourage self-explanations were investigated. In this research, the following main findings were obtained. Most learners were rather passive with respect to their spontaneous self-explanations. Among the active and successful learners, two subgroups employing different self-explanation styles could be identified. With regard to the instructional means used to induce effective example processing, it turned out that to employ “learning by teaching” in order to stimulate explanation activities was of very limited use. Attempts to directly train for or elicit certain types of self-explanations were more successful. However, even in the latter case, self-explanations had inherent deficits (e.g., proneness to errors). Thus, we sought to design learning arrangements that try to integrate self-explanations with well-timed and well-adapted instructional explanations (e.g., from tutors) in order to enhance students’ problem-solving skills.     

Effects of worked examples on step performance in solving complex problems

The instructional effect of worked examples has been investigated in many research studies. However, most of them evaluated the overall performance of the participants in solving post-intervention problems, rather than individual step performance in multi-step problems. The two experiments reported in this article investigated the relations between using worked examples and individual step performance in solving isomorphic problems. In Experiment 1, the effect of worked examples was found for overall performance for novice learners, whereas this effect was gradually reduced from Step 1 (the most difficult one) at which the effect was the strongest, to Step 3 (the easiest one) at which the effect was the weakest or even disappeared. In Experiment 2, relatively more knowledgeable participants learned the same sets of materials, and no effect of worked examples was found for either overall performance or individual step performance. Learner levels of expertise and levels of element interactivity were used to explain the results.     

The Role of Visual Indicators in Dual Sensory Mode Instruction

Advances in our knowledge of the structure of working memory suggest that under some circumstances, effectively more processing capacity is available to learners if instructional materials use multiple information modes (e.g. auditory and visual) instead of equivalent single mode formats. This paper examined this modality effect from a cognitive load perspective in three experiments using geometry instruction. In accordance with cognitive load theory, it was predicted that the additional processing capacity provided in an audio/visual format would only enhance learning if mental resources were not devoted to extensive visual based search in order to coordinate auditory and visual information. Using two different areas of geometry, Experiments 1 and 2 found that if visual search was clearly high, then audio‐visual instruction was only beneficial if visual indicators in the form of electronic flashing were incorporated into the instructional format. Under high search conditions, a standard audio/visual format without the aid of flashing proved no better than visual only instruction. Experiment 3 attempted to clarify earlier results by using instructional materials trivially low in visual search. Data indicated that a standard, audio‐visual format resulted in superior learning to a visual only format. There was no beneficial effect of electronic flashing in Experiment 3, suggesting that visual indicators were not necessary in areas of low visual search. It was concluded that cognitive load as determined by visual search established the effectiveness of visual indicators.     

The Curious Case of Improving Foreign Language Listening Skills by Reading Rather than Listening: an Expertise Reversal Effect

The expertise reversal effect occurs when instruction that is effective for novice learners is ineffective or even counterproductive for more expert learners. Four experiments designed to explore the expertise reversal effect in the field of teaching and learning foreign language listening skills were conducted. Three instructional formats (read-only, listen-only, and read-and-listen) were designed to teach native Chinese students English (experiments 1–3) or French (experiment 4) listening skills. Experiment 1 found a significant interaction with no effect for learners with lower levels of listening expertise but a significant effect for learners with higher levels of listening expertise favoring the read-only approach. The results of experiment 2 replicated the counterintuitive findings of experiment 1. Experiment 3 testing less knowledgeable students than experiments 1 and 2 indicated that the read-and-listen condition was more effective for novice learners. Experiment 4 testing beginner-level learners of French as a foreign language obtained results consistent with those of experiment 3 in that lower expertise learners gained greater benefits from the read-and-listen than the read-only or listen-only teaching approaches. It is concluded that the read-and-listen approach benefitted novice learners but more expert learners could benefit more from the read-only approach.     

A closer look at split visual attention in system- and self-paced instruction in multimedia learning

Two experiments examined visual attention distribution in learning from text and pictures. Participants watched a 16-step multimedia instruction on the formation of lightning. In Experiment 1 (N = 90) the instruction was system-paced (fast, medium, slow pace), while it was self-paced in Experiment 2 (N = 31). In both experiments the text modality was varied (written, spoken). During learning, the participants’ eye movements were recorded. Results from both experiments revealed that learners spent more time studying the visualizations with spoken text than those with written text. In written text conditions learners consistently started reading before alternating between text and visualization; moreover, they spent more time reading the text than inspecting the visualizations. While in Experiment 1 additional time that was made available in conditions with a slow or medium instruction pace was spent inspecting visualizations, in Experiment 2 longer learning times resulted from reading the text more intensively. With respect to learning outcomes (retention, transfer, and visual memory) Experiment 1 revealed an effect of text modality for visual memory only. In Experiment 2 no modality effects were found. Instruction pace was hardly related to learning outcomes. Overall, the results confirm prior findings suggesting that the distribution of visual attention in multimedia learning is largely guided by the text.