Implementation of the Jigsaw Type Cooperative Learning Model on Improving Achievement and Learning Motivation of Muhammadiyah in Mu'allimin Madrasah Muhammadiyah YOGYAKARTA

This research aims to determine the enhancement of students ' achievement and motivation after action, to know the difference in achievement and motivation to learn in the subjects of the youth through the cooperative learning model of the jigsaw type, describing the constraints of teachers in using the kind of unified learning model in Class 3 A Madrasah mu'allimin Muhammadiyah Yogyakarta. This research is a collaborative class of action research. The subject of the study was a Grade 3 student of A Madrasah Tsanawiyah mu'allimin Muhammadiyah Yogyakarta 2021/2022, with as many as 31 students. This research focuses on the achievement and motivation to learn the Kemuhammadiyahan after implementing a cooperative learning model. Data collection techniques using observation, documentation, and tests. The data analysis techniques in this study used quantitative and qualitative descriptive. Based on the research achievements and motivation in learning, Kemuhammadiyahan, through the application of a jigsaw type cooperative learning model, experienced a significant increase. Thus the jigsaw type cooperative learning model can be applied to Kemuhammadiyahan subjects

VIVA-uOttawa / CBSA at TRECVID 2012: Interactive Surveillance Event Detection ∗

We present an interactive video event detection system for the TRECVID 2012 Surveillance Event Detection (SED) task [16]. Inspired by previous TRECVID submissions, the underlying approach is built on combining automated detection of temporal regions of interest through the extraction of binary spatio-temporal keypoint descriptors in observed video-sequences (Video Analytics module), and efficient manual filtering of false alarms through the use of a custom-designed graphical user interface (Visual Analytics module). We make the automated detection of temporal regions of interest feasible by using efficient binary feature descriptors. These descriptors allow for descriptor matching in the bag-of-words model to be orders of magnitude faster than traditional descriptors, such as SIFT and optical flow. The approach is evaluated on a single task, PersonRuns, as defined by the TRECVID 2012 guidelines. The combination of Visual Analytics and Video Analytics tools is shown to be essential for the success of a highly challenging task of detecting events of interest in unstructured environments using video surveillance cameras. ∗ This work is done within the CBSA-led PSTP BTS-402 project PROVE-IT(VA) funded by the Defence Research and Developmen

The decline of ethnic voting patterns in plural societies:Evidence from Suriname

This article addresses the largely neglected issue of the decline of ethnic cleavages in plural societies as expressed in voting behaviour. It argues that theoretically, Creolization, a specific form of acculturation, accounts for the erosion of ethnic bonding but finds that the application of the concept is limited. Hence, the article combines the current concept of Creolization with that of political hegemony, while broadening Creolization to comprise the acculturation of several ethnic groups. However, the paper considers that actual voting patterns may be countervailed by party characteristics and election campaigns. Using multiple fieldwork methods, the erosion of ethnic voting loyalties is analysed in a case study of Suriname, a Caribbean society that is representative of a class of plural societies. The paper centres on the conceptual apparatus to analyse the erosion of ethnic voting loyalties rather than making comparisons. It claims that its argument is applicable to plural societies that are characterized by the erosion of voting loyalties and decline of ethnic cleavages, notably Trinidad and to a lesser degree in Mauritius and Fiji, and increasingly in Suriname and Guyana