4 research outputs found

    The impact of problem-based learning with argument mapping and online laboratory on scientific argumentation skill

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    Students in Indonesia still have the low level of scientific argumentation skills. This studypurposed to examine the impact ofProblem-based Learning (PBL) with Argument Mapping and Online Laboratory in improving the scientific argumentation skill. It describes the significance of the differences between participants who learn through PBL, PBL with Online Laboratory (PBL-OL), Problem-based Learning with Argument Mapping and Online Laboratory (PBL-AMOL) model. The population of this study were students from Madrasah Aliyah Negeri (MAN) Yogyakarta, Indonesia with a random sampling technique. This was quasi-experiment with pre and post test designs. In this study, there were 97 students at MAN 1 as respondent. Paired sample t-test, independent sample t-test and ANOVA mixed design was used to analysis data. The PBL-AMOL group has a significant difference based on pre-test and post-test (sig. 0000). The PBL-AMOL was most effective to improve the skill with gain score 0.43 (medium). Learning with the PBL-AMOL model can be an alternative to solve the problems of creative thinking skill

    Making Online Learning Personal: Evolution, Evidentiary Reasoning, and Self-Regulation in an Online Curriculum

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    An online curriculum about biological evolution was designed according to the Promoting Evidentiary Reasoning and Self-regulation Online (PERSON) theoretical framework. PERSON is an attempt to develop online science instruction focused on supporting evidentiary reasoning and self-regulation. An efficacy study was conducted with 80 suburban high school biology students using a design-based research approach to develop a curriculum to promote biological evolution understandings, evidentiary reasoning, and self-regulation. Data sources and instruments included (1) the Biological Evolution Assessment Measurement (BEAM); (2) the modified Motivated Strategies for Learning Questionnaire (MSLQ); (3) discussion forum posts; (4) formative assessments of evidence based reasoning; (5) Prediction, Monitoring, and Reflection forms (PMR); (6) the Online Instruction Questionnaire; and (7) field notes. Findings revealed that BEAM posttest scores were significantly greater than pretest scores for items designed to measure biological evolution content knowledge and evidentiary reasoning. Students tracked in a lower level biology course showed improvement in biological evolution understandings and evidentiary reasoning. It was found that performance on daily evidentiary reasoning tasks strongly predicted BEAM posttest scores. However, findings revealed that students did not meet local standards for performance on items designed to measure evidentiary reasoning. Students expressed a variety of opinions about their learning experiences with the online curriculum. Some students expressed a definite preference for traditional learning environments, while others expressed a definite preference for online learning. Self-regulatory ability did not significantly predict BEAM gain scores. Further, self-regulatory ability was not demonstrably improved as a result of this intervention. Implications for designing science instruction in asynchronous online learning environments to support evidentiary reasoning and self-regulation are discussed
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