This study aimed to investigating the effect of problem-based learning with char-acter emphasis toward the students’ higher-order thinking skills (HOTS) and characters. This study an experimental research using the single factor independ-ent group design which conducted on secondary school in Mataram - Indonesia. The treatment was given to three independent randomly selected groups, namely Problem-Based Learning with Character Emphasis (PBL-CE), Problem Based-Learning (PBL), and Regular Learning (RL). The data of the students’ HOTS were collected through essay tests and the data of the students’ characters were collected through self-assessment sheets, and analyzed using MANOVA. The results showed that the highest mean score for HOTS was found in the PBL-CE group, its was significantly different with RL group, and not significantly differ-ent with PBL group. Meanwhile, for the average score of student characters, the PBL-CE group scored higher and was significantly different from the other two groups (PBL and RL). The generalization of the study results has shown that there is an effect of problem-based learning with character emphasis on students' higher order thinking skills and character.
Management of higher education must continue to evaluate on an ongoing basis in order to improve the quality of institutions. This will be able to do the necessary evaluation of various data, information, and knowledge of both internal and external institutions. They plan to use more efficiently the collected data, develop tools so that to collect and direct management information, in order to support managerial decision making. The collected data could be utilized to evaluate quality, perform analyses and diagnoses, evaluate dependability to the standards and practices of curricula and syllabi, and suggest alternatives in decision processes. Data minings to support decision making are well suited methods to provide decision support in the education environments, by generating and presenting relevant information and knowledge towards quality improvement of education processes. In educational domain, this information is very useful since it can be used as a base for investigating and enhancing the current educational standards and managements. In this paper, a review on data mining for academic decision support in education field is presented. The details of this paper will review on recent data mining in educational field and outlines future researches in educational data mining.
Sumber belajar yang dapat di pergunakan dalam meningkatkan pemahaman peserta didik, berupa:pesan, manusia, material, peralatan, teknik, lingkungan, bahan, perstiwa untuk memfasilitasi proses pembelajaran dan dapat memberi masukan, informasi, pengertian serta kemudahan kepada peserta didik. Sumber belajar dapat memerikan pengalaman baru yang lebih kongkret dan langsung dalam menjelaskan hal-hal yang tidak mungkin diadakan, dan memperluas wawasan sehingga peserta didik dapat berfikir kritis dan positif serta dapat memberikan informasi yang akurat dan terbaru sehingga peserta didik termotivasi untuk belajar dengan menyenangkan. Sumber belajar dapat mengembangkan berbagai potensi yang beragam dan bervariasi, seperti: kemampuan, sikap dan minat yang sesuai dengan karakteristik dan kebutuhannya. Kata kunci: Sumber belajar, pemahaman dan peserta didik
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