Exemplar-based instruction: the role of self-explanation vs. example-construction in non-deterministic learning
The example-based instruction paradigm provides that after rule presentation the learners are exposed to a number of examples which they are invited to explain on the basis of the learned principles (self-explanation condition). This instructional paradigm is considered to be effective for the exact disciplines, while evidence is more controversial in the case of non-algorithmic domains. In these cases the opportunity to do more exercises later is indicated as more effective than self-explanation in the training phase. Alternatively, the article aims to examine the possibility of integrating the instructional paradigm applied to problems of the second type by asking subjects in the training phase to provide rather than explain examples of the rule in order to make the rule-example link stronger on an implicit rather than explicit level. The results indicate that, applied to the case of L2 grammar learning, the self-explanation and example-construction conditions produce better learning results than the control condition and that the example-construction condition is more productive than the self-explanation condition. The results are discussed in relation to the reference paradigm.
How to Cite
The authors who publish in this magazine accept the following conditions:
- The authors retain the rights to their work and give the magazine the right to first publish the work, simultaneously licensed under a Creative Commons License - Attribution which allows others to share the work indicating the intellectual authorship and the first publication in this magazine.
- Authors may adhere to other non-exclusive license agreements for the distribution of the version of the published work (eg deposit it in an institutional archive or publish it in a monograph), provided that the first publication took place in this magazine.
- Authors can disseminate their work online (eg in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges and increase citations of the published work.