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Tackling the difficulties in learning evolution: effects of adaptive self-explanation prompts

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Figures & data

Table 1. Structure and content of the two worked example sequences.

Table 2. Number of low-knowledge and high-knowledge prompts which were integrated into the worked examples for the LP, HP and LHP conditions.

Figure 1. Section of a worked out solution from the selection sequence with a self-explanation prompt (presented in the balloon) which should encourage paraphrasing, followed by the expressed self-explanation of a student with average prior knowledge as well as the coding.

Figure 1. Section of a worked out solution from the selection sequence with a self-explanation prompt (presented in the balloon) which should encourage paraphrasing, followed by the expressed self-explanation of a student with average prior knowledge as well as the coding.

Table 3. Mean number of self-explanations.

Table 4. Mean number and standard deviation of self-explanations per prompt (P: Paraphrasing; RGK: Recourse to given knowledge; R: Relation building; A: Anticipating; DI: Drawing inferences; RPK: Recourse to own prior knowledge; O: Other; /: Prompt without any self-explanation; : Agreement) under the low-knowledge prompts condition.

Table 5. Mean number and standard deviation of self-explanations per prompt (P: Paraphrasing; RGK: Recourse to given knowledge; R: Relation building; A: Anticipating; DI: Drawing inferences; RPK: Recourse to own prior knowledge; O: Other; /: Prompt without any self-explanation; : Agreement) under the high-knowledge prompts condition.

Table 6. Mean number and standard deviation of self-explanations per prompt (P: Paraphrasing; RGK: Recourse to given knowledge; R: Relation building; A: Anticipating; DI: Drawing inferences; RPK: Recourse to own prior knowledge; O: Other; /: Prompt without any self-explanation; : Agreement) under the transition prompts condition.