Sebanyak 69 item atau buku ditemukan

Patterns and universals of adult romantic attachment across 62 cultural regions

are models of self and other pancultural constructs?

TIANG DAN BENDERA INDONESIA

Anak Muda yang Sukses dan Dikagumi Bangunlah Jiwanya, Bangunlah Badannya untuk Negara Kesatuan Republik Indonesia

Buku ini adalah buku yang memberikan motivasi kebangsaan serta semangat dalam membangun bangsa Ini. Indonesia Youth Icon adalah sebuah wadah aktivitas kepemudaan yang memberikan ringkasan dari pekerjaan yang kami lakukan, untuk menyoroti banyak permasalahan dengan melahirkan dan menciptakan langkah-langkah serta pergerakan aktif dan nyata. Buku ini tak hanya menceritakan motivasi atau semacamnya, buku ini juga menampilkan aksi nyata dalam membangun bangsa Indonesia lewat pelatihan-pelatihan yang dilakukan untuk mempersatukan anak-anak muda agar peka terhadap bangsanya sendiri.

Buku ini tak hanya menceritakan motivasi atau semacamnya, buku ini juga menampilkan aksi nyata dalam membangun bangsa Indonesia lewat pelatihan-pelatihan yang dilakukan untuk mempersatukan anak-anak muda agar peka terhadap bangsanya sendiri ...

Large classes and how High School teachers and students perceive them

Research Paper (postgraduate) from the year 2015 in the subject English - Pedagogy, Didactics, Literature Studies, grade: 9, , language: English, abstract: The main aim of this study is to investigate the perceptions of students and teachers in a large class. Perceptions regarding the environment, the material and the class in general. To achieve that, a qualitative process was used in order to obtain information to be able to answer the aims of this research project. The main tools for collecting the data were an interview to the teacher, questionnaires to some students as well as some observations in the classroom. All the instruments were used in order to obtain their own perceptions about themselves as well as each other: teacher-students and students- teacher. The teacher’s interview was recorded and transcribed and then analyzed and compared with the answers that students gave in the questionnaires. The results were expected to contribute to the orientation of teachers who are teaching in similar situations. In addition, this paper aims to illustrate the common problems that can be found in this type of classrooms and see if more teachers identify themselves with this topic. The findings show the urgent necessity of knowing and implementing new and different strategies when teaching too many students, taking into account the environment and other different aspects which are found in high overpopulated schools. The results of this investigation showed that students are not totally satisfied with the teacher’s methodology as one of the most outstanding problems. It also showed the teacher’s perceptions about his students and their lack of interest, it also showed the limitations that a teacher has to innovate in a classroom overcrowded with at least 50 students.

2.2 Defining “PerceptionPerceptions vary from person to person. Different
people perceive different things in different ways, for example, beauty is
perceived differently by all the people, everyone has their own concept of it and
their own ...

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, the extension of kernel methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep architectures for enhanced data projections. Topics and features: discusses machine learning frameworks based on artificial neural networks, statistical learning theory and kernel-based methods, and tree-based methods; examines the application of machine learning to steady state and dynamic operations, with a focus on unsupervised learning; describes the use of spectral methods in process fault diagnosis.

Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings.