Implementation of real analysis module with PQ4R strategy in facilitating self-regulated learning (SRL)

Abstract

Students do not have teaching materials that suit their needs. the need for students to improve their learning outcomes, independent learning, and teaching materials that are easy to understand and structured according to the learning outcomes of FKIP students. Therefore the steps in the PQ4R strategy can help students in organizing texts, and organize itself to obtain more in-depth information by means of broader elaboration. So students will be more independent in learning. Independence in learning is termed Self-regulated Learning (SRL). The purpose of this study is to describe the implementation of real analysis learning with the PQ4R strategy and produce a product in the form of “real analysis teaching material to facilitate effective Self-regulated Learning (SRL)” of students. This research is a follow-up research of development research with the development model used is the ADDIE development model. The analysis phase, design phase, and development phase have been completed in previous research. In this study continued with the Implementation phase. The results showed that the implementation of real analysis teaching materials with the PQ4R strategy in facilitating student Self-regulated Learning (SRL) went well, which is in the category of very good and good. Real analysis learning with the PQ4R strategy, which through preview and question activities allows students to have self-planning, and through read and reflect activities allows students to monitor themselves, as well as through recite and review activities, students conduct self-evaluation. Real analysis teaching materials to facilitate quality Self-regulated Learning (SRL) are effective on medium category with an N-Gain value of 0.43 and Self-regulated Learning (SRL) students are in the medium category.

Memristors based on carbon dots for learning activities in artificial biosynapse applications

“…In neurological applications, CDMDs are used to simulate three complex learning activities, such as learning states under different supervision levels, learning states based on levels of interest, and the effect of preview and review on memory behaviors according to the PQ4R (Preview, Question, Read, Reflect, Recite, Review) strategy that has rarely been reported. [37][38][39] This work of doping CDs not only improves the electrical performance of memristors, but also facilitates the development of artificial neural systems. [40][41][42]…”