In their prior research on adaptive instruction for multi-representational learning, the researchers explored various perspectives on designing visual representations and scaffolds. However, controversies and discrepancies regarding the fidelity of visual representations and self-explanation prompts have yet to be resolved. This research thus examines types of visual representations and self-explanation prompts and thereby suggests instructional strategies for multi-representational adaptive learning. Sixty-nine college students participated in a 2 × 2 between-subjects study design (schematic only and adaptively increasing the fidelity of visual representation as well as fixed and fading self-explanation prompts). Adaptively increasing visual fidelity was shown to be effective for mental model construction. Knowledge inference was most enhanced in the group utilising both adaptive approaches. The increased germane cognitive load appears to have mediated, in particular, the effects of visually adaptive instruction. This research suggests that visually adaptive instruction should include customized self-explanation supports to ensure successful multi-representational adaptive learning. This research reveals that sequencing visual representations with increasing fidelity as learning progress in instructional materials and offering fading support for prompts tailored to learning progress are the two effective and complementary ways to ensure customized learning.

中文翻译：

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多表征自适应学习中的视觉表征保真度和自解释提示

在他们之前关于多表征学习的自适应教学的研究中，研究人员探索了设计视觉表征和支架的各种观点。然而，关于视觉表现和自我解释提示的保真度的争议和差异尚未解决。因此，这项研究检查了视觉表征和自我解释提示的类型，从而为多表征自适应学习提出了教学策略。69 名大学生参与了一个 2 × 2 的学科间研究设计（仅示意图并自适应地增加视觉表现的保真度以及固定和逐渐消失的自我解释提示）。适应性增加的视觉保真度被证明对心智模型的构建是有效的。在使用这两种自适应方法的组中，知识推理得到了最大的增强。增加的相关认知负荷似乎介导了视觉适应性教学的影响。这项研究表明，视觉自适应教学应包括定制的自我解释支持，以确保成功的多表征自适应学习。这项研究表明，随着教学材料中的学习进展，对视觉表示进行排序并提高保真度，并为针对学习进展量身定制的提示提供逐渐减弱的支持，是确保定制学习的两种有效且互补的方法。这项研究表明，视觉自适应教学应包括定制的自我解释支持，以确保成功的多表征自适应学习。这项研究表明，随着教学材料中的学习进展，对视觉表示进行排序并提高保真度，并为针对学习进展量身定制的提示提供逐渐减弱的支持，是确保定制学习的两种有效且互补的方法。这项研究表明，视觉自适应教学应包括定制的自我解释支持，以确保成功的多表征自适应学习。这项研究表明，随着教学材料中的学习进展，对视觉表示进行排序并提高保真度，并为针对学习进展量身定制的提示提供逐渐减弱的支持，是确保定制学习的两种有效且互补的方法。