Pelaksanaan Cluster Learning System di Masa Pandemi Covid-19 di Sekolah 3T

نویسندگان

چکیده

This study aims to determine the implementation of Cluster Learning System during Covid-19 pandemic in 3T schools. research was conducted at SMP Negeri 7 Budong-budong, geographically this school is located Mamuju Tengah District, West Sulawesi Province. Central Regency one underdeveloped districts Indonesia. used a qualitative approach describe Data obtained through observation, interview, and documentation techniques. Meanwhile, data analysis process techniques proposed by Miles Hubermen which consisted three activity lines, namely reduction, presentation, conclusion drawing. From results, it found that implementing there were 3 stages carried out planning, implementation, evaluation stages. In addition, application Budong, are several advantages disadvantages.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Di erential Cluster Analysis ?

We propose a new technique called Di erential Cluster Analysis for side-channel key recovery attacks. This technique uses cluster analysis to detect internal collisions and it combines features from previously known collision attacks and Di erential Power Analysis. It captures more general leakage features and can be applied to algorithmic collisions as well as implementation speci c collisions...

متن کامل

Il Birraio di Preston di Andrea Camilleri

Nella letteratura italiana degli ultimi decenni lo scrittore Andrea Camilleri rappresenta un caso raro di successo editoriale e di pubblico, con centinaia di migliaia di copie vendute, traduzioni in molte lingue, riconoscimenti e convegni in suo onore. Uno dei suoi titoli più noti è il romanzo storico Il Birraio di Preston. Lo scrittore è diventato famoso presso il grande pubblico inizialmente ...

متن کامل

DI SALERNO Dipartimento di Informatica

Despite modern technology provide new tools to measure the world around us, we are quickly generating massive amounts of high-dimensional, spatialtemporal data. In this work, I deal with two types of datasets: one in which the spatial characteristics are relatively dynamic and the data are sampled at different periods of time, and the other where many dimensions prevail, although the spatial ch...

متن کامل

Prior Learning and Gibbs Reaction - Di usionSong

This article addresses two important themes in early visual computation: rst it presents a novel theory for learning the universal statistics of natural images { a prior model for typical cluttered scenes of the world { from a set of natural images, second it proposes a general framework of designing reaction-diiusion equations for image processing. We start by studying the statistics of natura...

متن کامل

Least-Squares Temporal Di erence Learning

TD( ) is a popular family of algorithms for approximate policy evaluation in large MDPs. TD( ) works by incrementally updating the value function after each observed transition. It has two major drawbacks: it makes ine cient use of data, and it requires the user to manually tune a stepsize schedule for good performance. For the case of linear value function approximations and = 0, the Least-Squ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Pedagogi: Jurnal Ilmu Pendidikan

سال: 2021

ISSN: ['2549-6743', '1411-4585']

DOI: https://doi.org/10.24036/pedagogi.v21i1.1028