The Pattern of Hybrid Learning to Maintain Learning Effectiveness at the Higher Education Level Post-COVID-19 Pandemic

<p style="text-align: justify;">Online learning during the Coronavirus disease (COVID-19) pandemic has awakened and affirmed the necessity of learning based on digital technology. The article was aimed to analyze the effectiveness of online learning at bachelor’s, master’s, and doctoral degrees of Islamic Religious Education as a reference to develop a learning pattern post-COVID-19 pandemic. The research employed a mixed-method design with a concurrent triangulation model. The samples were taken using stratified random and purposive sampling. Meanwhile, the data were collected through questionnaires, in-depth interviews, and forum group discussion. A descriptive analysis and one-way analysis of variance were used to analyze the quantitative data, while interpretative descriptive for the qualitative data. The research showed that online learning during the COVID-19 pandemic at the bachelor’s, master’s, and doctoral degrees of Islamic Religious Education have been effective. In detail, online learning at the doctoral degree was the most effective among all. On the other hand, face-to-face learning is still necessary. Therefore, the learning pattern developed post-COVID-19 pandemic combines face-to-face and online learning (hybrid learning). The formulation is adjusted to the characteristics, educational purpose and orientation, level of ability, readiness, and learning autonomy of the students at each educational level.</p>

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. Computational Intelligence (CI) techniques have been recognized as effective methods in generating and optimizing renewable tools. The complexity of this variety of energy depends on its coverage of large sizes of data and parameters, which have to be investigated thoroughly. This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. The performance of the given methods in the literature is assessed by a new taxonomy. This paper focus on conducting comprehensive state-of-the-art methods heading to performance evaluation of the given techniques and discusses vital difficulties and possibilities for extensive research. Based on the results, variations in efficiency, robustness, accuracy values, and generalization capability are the most obvious difficulties for using the learning techniques. In the case of the big dataset, the effectiveness of the learning techniques is significantly better than the other computational methods. However, applying and producing hybrid learning techniques with other optimization methods to develop and optimize the construction of the techniques is optionally indicated. In all cases, hybrid learning methods have better achievement than a single method due to the fact that hybrid methods gain the benefit of two or more techniques for providing an accurate forecast. Therefore, it is suggested to utilize hybrid learning techniques in the future to deal with energy generation problems.

MANAJEMEN WAKTU BELAJAR DARING MAHASISWA SELAMA PANDEMI COVID-19

Tujuan penelitian ini adalah mendeskripsikan manajemen waktu belajar mahasiswa PGMI Semester IV selama Pandemi Covid-19 melalui model hybrid learning mata kuliah Pembelajaran Tematik Terpadu. Adaptasi Kebiasaan Baru (AKB) salah satu langkah manusia supaya produktif beaktifitas selama pandemi Covid-19. Sektor pendidikan tinggi melalui SE Mendikbud No. 0173/E.E2/PM/2021 mengenai pelaksanaan perkuliahan menggunakan model hybrid learning dengan pelaksanaan secara daring dan luring secara bergantian. Hal tersebut didasari kebijakan perkuliahan sifting dari Institut Agama Islam Bakti Negara (IBN) Tegal. Metode penelitian ini kualitatif deskriptif menggunakan analisis data Miles and Huberman dengan tahapan pengumpulan, reduksi data, analisis dan interpretasi data. Keabsahan data menggunakan triangulasi teknik dan sumber. Teknik yaitu wawancara, kuesioner dan observasi sedangkan sumber berupa partisipan penelitian yang bekerja baik dalam atau luar sektor pendidikan. Subjek penelitian yaitu mahasiswa PGMI Angkatan 2019 sebanyak 5 mahasiswa. Hasil penelitian ini mahasiswa memiliki manajemen waktu belajar yang baik ditandai dengan komitmen bekerja dan kuliah, pembagian waktu bekerja dan kuliah terjadwal dengan baik selama AKB didukung dengan platform edukasi Google Clasroom dan media YouTube. Mahasiswa yang bekerja baik sektor pendidikan maupun diluar itu memiliki motivasi memiliki kompetensi tinggi dan siap menghadapi kompetisi masa depan.

PENGEMBANGAN MEDIA E-BOOK AUDIO VISUAL MENGGUNAKAN FLIPBOOK MATERI TRIGONOMETRI KELAS XI IPA BERBASIS HYBRID LEARNING

The COVID-19 pandemic that has hit the world since 2019 has resulted in the world of education in Indonesia, which was initially required to conduct online or online learning at home. Until now, the number of Covid cases in Indonesia has decreased. Finally, the education office has implemented a hybrid learning system or offline and online learning. . Solutions for hybrid learning through several applications such as Whatsapp groups, Zoom, Google classroom, Google meet, Quipper and so on. With this application, teachers are required to be creative in delivering hybrid learning, therefore in addition to using this application, researchers use flipbooks to support hybrid learning. The method in this study using ADDIE namely Analysis, Design, Development, Implementation and Evaluation. The purpose of this study is to provide meaningful and fun learning and not boring without giving assignments that are too heavy so that it makes students uncomfortable because there are many assignments and too much material is delivered in a monotonous way. The results from the validation of the expert team were obtained at 86.5%, which means that the e-book is very suitable to be used and received a positive response with a percentage value of 89.5% resulting in a positive response. The conclusion that can be narrowed is that e-learning online learning using Flipbook with trigonometry material for class XI Science is declared effective because students can understand trigonometry material even though the learning is done in a hybrid way. ABSTRAKPandemi covid-19 yang melanda dunia sejak tahun 2019 mengakibatkan dunia pendidikan di Indonesia yang awalnya diharuskan melakukan pembelajaran secara daring atau dalam jaringan yang dilakukan dirumah hingga saat ini kasus covid di Indonesia semakin menaurun akhirnya dinas pendidikan memberlakukan sistem pembelajaran secara hybrid atau pembelajaran luring dan daring. Solusi untuk pembelajaran hybrid melalui beberapa aplikasi seperti Whatsapp grup, Zoom, Google classroom, Google meet, Quipper dan lain sebagainya. Dengan aplikasi tersebut guru dituntut kreatif dalam menyampaikan pembelajaran secara hybrid, oleh karena itu selain menggunakan aplikasi tersebut peneliti menggunakan flipbook untuk penunjang pembelajaran hybrid. Metode pada penelitian ini menggunakan ADDIE yaitu Analisis, Design, Development, Implementasi dan Evaluasi. Tujuan dari penelitian ini untuk memberikan pembelajaran bermakna serta menyenangkan dan tidak membosankan tanpa memberikan tugas yang terlalu berat sehingga membuat peserta didik tidak nyaman karena banyak tugas dan terlalu banyak materi yang disampaikan dengan cara monoton. Hasil dari validasi tim ahli didapat sebesar 86,5% dengan artian e-book sangat layak digunakan dan mendapat respon positif dengan nilai presentase 89,5% menghasilkan respon positif. Kesimpulan yang dapat dikerucutkan adalah pembelajaran daring secara e-learning menggunakan Flipbook dengan materi trigonometri kelas XI IPA dinyatakan efektif karena peserta didik dapat paham materi trigonometri meskipun pembelajaran dilakukan secara hybrid

A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology

Nuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyze the malignant potential of cancer cells. Considering the structural alteration of the nucleus in cancer cells, various groups have developed machine learning techniques based on variation in nuclear morphometric information like nuclear shape, size, nucleus-cytoplasm ratio and various non-parametric methods like deep learning have also been tested for analyzing immunohistochemistry images of tissue samples for diagnosing various cancers. We aim to correlate the morphometric features of the nucleus along with the distribution of nuclear lamin proteins with classical machine learning to differentiate between normal and ovarian cancer tissues. It has already been elucidated that in ovarian cancer, the extent of alteration in nuclear shape and morphology can modulate genetic changes and thus can be utilized to predict the outcome of low to a high form of serous carcinoma. In this work, we have performed exhaustive imaging of ovarian cancer versus normal tissue and developed a dual pipeline architecture that combines the matrices of morphometric parameters with deep learning techniques of auto feature extraction from pre-processed images. This novel Deep Hybrid Learning model, though derived from classical machine learning algorithms and standard CNN, showed a training and validation AUC score of 0.99 whereas the test AUC score turned out to be 1.00. The improved feature engineering enabled us to differentiate between cancerous and non-cancerous samples successfully from this pilot study.

Active blended learning management in music subject based on the hybrid learning framework for primary 4 students at Ban Nong Du School, Thawat Buri District, Roi Et Province

The objectives of this research were 1) to develop an active blended learning management plan in Music subject based on the hybrid learning framework to be effective according to 80/80 criteria, 2) to compare the students' academic achievement between pretest and posttest periods, and 3) to study the satisfaction of students towards the active blended learning management in music subject based on the hybrid learning framework. The target group of this research was the 14 primary 4 students of Ban Nong Du School. Thawat Buri District, Roi Et Province in semester 1, academic year 2021, which was selected from purposive sampling. The research instruments were: 1) the index of conformity (IOC) of the music learning management plan according to the hybrid learning framework was 0.87. This showed that experts are of the opinion that an effective learning management plan can be implemented. 2) The achievement test was a 30-item, four-choice test. The test had a difficulty and power value classified between 0.41-0.60, which was appropriate and could be tested. 3) A questionnaire on the satisfaction of students towards active blended learning management in music subject based on the hybrid learning framework consisted of 15 items.

Creative Solutions for Today's Students

This chapter will explore the connection between diversifying health profession student demographics, diversifying challenges these students face, and the new obstacles presented by shifting curriculum delivery to remote and hybrid learning during the coronavirus disease 2019 (COVID-19) pandemic. The chapter will explore challenges that may seem especially difficult to address in a remote learning model: the desire to develop community among fellow learners when in a hybrid or fully remote program and when learners are from varied backgrounds; cultivating in students coping mechanisms to manage anxiety from the economic uncertainty of today's world, balancing commitments between educational pursuits and other responsibilities (e.g., child or parent care, etc.); and facilitating learning for students with physical and/or mental disabilities or chronic medical conditions.

Recovering Higher Education During and After the Pandemic

This chapter discusses the economic, academic, and socioemotional effects of the COVID-19 pandemic on low-income students and the institutes of higher education that serve them. Income-based inequities among students have been amplified significantly by the economic recession and the shift to remote learning. This chapter examines the federal and state-level plans that aim to address these inequities by providing/redistributing aid to universities. Additionally, updated pedagogies that are attuned to the needs of remote/hybrid learning are proposed, since keeping student motivation (and graduation rates) high will be a priority for universities as they recover from this pandemic. Universities must therefore provide their students with the sufficient monetary, academic, and emotional support needed to ensure both their students' and their own success.

Game-Based Teaching and Learning in Higher Education

Game-based pedagogies use games for achieving learning outcomes by guiding the learners through specific tasks, which can be digital and/or non-digital and can promote deep meaningful learning. Therefore, the design of game-based learning helps learners to engage in the meaning-making process and ensure better participation. As the boundaries of classroom learning become blurred through blended or hybrid learning approaches, game-based learning enhances digital literacies for digital natives to prepare them for building a knowledge economy. By exploring existing literature, this chapter highlights how technology can support teachers and learners to go beyond their existing pedagogical boundaries by focusing on ways games may serve as digital sources of learning. It also explores the role game-based pedagogies and digital learning design frameworks play in enhancing learner engagement, collaboration, and cultural understanding.