scholarly journals On Adaptivity in Information-Constrained Online Learning

2020 ◽  
Vol 34 (04) ◽  
pp. 5199-5206
Author(s):  
Siddharth Mitra ◽  
Aditya Gopalan
Keyword(s):  
Online Learning ◽  
Information Structure ◽  
Quadratic Variation ◽  
Learning Problems ◽  
Expert Advice ◽  
Information Costs ◽  
Mirror Descent ◽  
Partial Feedback ◽  
Efficient Prediction ◽  
Full Class

We study how to adapt to smoothly-varying (‘easy’) environments in well-known online learning problems where acquiring information is expensive. For the problem of label efficient prediction, which is a budgeted version of prediction with expert advice, we present an online algorithm whose regret depends optimally on the number of labels allowed and Q* (the quadratic variation of the losses of the best action in hindsight), along with a parameter-free counterpart whose regret depends optimally on Q (the quadratic variation of the losses of all the actions). These quantities can be significantly smaller than T (the total time horizon), yielding an improvement over existing, variation-independent results for the problem. We then extend our analysis to handle label efficient prediction with bandit (partial) feedback, i.e., label efficient bandits. Our work builds upon the framework of optimistic online mirror descent, and leverages second order corrections along with a carefully designed hybrid regularizer that encodes the constrained information structure of the problem. We then consider revealing action-partial monitoring games – a version of label efficient prediction with additive information costs – which in general are known to lie in the hard class of games having minimax regret of order T2/3. We provide a strategy with an O((Q*T)1/3 bound for revealing action games, along with one with a O((QT)1/3) bound for the full class of hard partial monitoring games, both being strict improvements over current bounds.

scholarly journals IAIN CURUP STUDENTS’ SELF-ENDURANCE AND PROBLEMS IN ONLINE LEARNING DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 10 (01) ◽  
pp. 395
Author(s):  
Muhamad Uyun ◽  
Idi Warsah
Keyword(s):  
Online Learning ◽  
Social Engagement ◽  
Qualitative Method ◽  
Learning Problems ◽  
Learning Resources ◽  
Interactive Model ◽  
Technological Competence

The transformation of learning from offline to online modes due to the Covid-19 pandemic has affected students’ self-endurance in learning and the complexities of learning problems. Accordingly, this study was oriented towards investigating IAIN Curup students’ self-endurance and the problems they faced during online learning. Grounded in a qualitative method, this study incorporated 20 IAIN Curup students selected purposively as the participants. They were interviewed on the basis of the study’s foci. The data of interviews were analyzed using an interactive model. The findings demonstrated weak students’ self-endurance in online learning. Psychologically, they felt under pressure. Physically, their eyes’ condition got worse, and a few of them suffered from headache. They were psychologically bored as well less-concentrated, and they could not enjoy learning due to the limitation of social engagement in learning. Subsequently, as regards the problems faced during online learning, they had problems related to Internet’s signals, budgeting for fulfilling Internet’s needs, and difficulty in the search of learning resources, wherein the foregoing was categorized as a case of weak technological competence.

scholarly journals PENINGKATAN PARTISIPASI DAN HASIL BELAJAR SISWA DALAM PEMBELAJARAN SEJARAH DI MASA PANDEMI

2021 ◽  
Vol 15 (1) ◽  
pp. 22
Author(s):  
Tiarima Marbun
Keyword(s):  
Online Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Learning Problems ◽  
Learning History ◽  
Passive Learning ◽  
Large Level ◽  
The Media ◽  
The Subject ◽  
Improving Student Learning

This classroom action research (CAR) was conducted to increase student success in learning History with the Google Classroom (GC) application. The class as the subject is that of XI IPS-2 SMA Negeri 2 Tarakan, consisting of 36 students, with 19 male and 17 female students. They were chosen,  because the class saw a very large level of online learning problems such as: students often missed class, attended late, did not do assignments, did not have data packages so they did not participate in learning , and very passive learning activities.This research was conducted in two cycles, with  three meetings in each. It employed GC as the media to hold the learning process done online in the pandemic era. The results of the analysis has proved that the use of GC can help in improving student learning outcomes, based on all aspects of observation and action so that learning outcomes increase in each meeting and cycle. The learning outcomes in the first cycle showed 47.2%, while in the second cycle it increased to 83.3%. There were 5 students or 13.9% who had failed to reach the minimum completeness and a student was not present at the last meeting of the cycles. A remedial will be given in a separate meeting so that they can achieve the required mastery in learning. In short, learning with GC media can improve the results of learning history subject for the students in high school. Therefore, it is recommended that teachers or teachers be able to use GC in online learning.

scholarly journals Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Chunyuan Zhang ◽  
Qingxin Zhu ◽  
Xinzheng Niu
Keyword(s):  
Online Learning ◽  
Least Squares ◽  
Computational Cost ◽  
Recursive Least Squares ◽  
Learning Problems ◽  
Temporal Difference ◽  
Sparse Kernel Methods ◽  
Feature Dictionary ◽  
Window Approach ◽  
Sparse Kernel

By combining with sparse kernel methods, least-squares temporal difference (LSTD) algorithms can construct the feature dictionary automatically and obtain a better generalization ability. However, the previous kernel-based LSTD algorithms do not consider regularization and their sparsification processes are batch or offline, which hinder their widespread applications in online learning problems. In this paper, we combine the following five techniques and propose two novel kernel recursive LSTD algorithms: (i) online sparsification, which can cope with unknown state regions and be used for online learning, (ii)L2andL1regularization, which can avoid overfitting and eliminate the influence of noise, (iii) recursive least squares, which can eliminate matrix-inversion operations and reduce computational complexity, (iv) a sliding-window approach, which can avoid caching all history samples and reduce the computational cost, and (v) the fixed-point subiteration and online pruning, which can makeL1regularization easy to implement. Finally, simulation results on two 50-state chain problems demonstrate the effectiveness of our algorithms.

scholarly journals Pembelajaran PAI Berbasis Daring bagi Guru TK di Kecamatan Mranggen Demak

2021 ◽  
Vol 3 (2) ◽  
pp. 145
Author(s):  
Khoirul Anwar ◽  
Choeroni Choeroni ◽  
Toha Makhshun
Keyword(s):  
Educational Technology ◽  
Online Learning ◽  
Distance Learning ◽  
Learning Difficulties ◽  
Kindergarten Teachers ◽  
Learning Activities ◽  
Learning Problems ◽  
Service Activity ◽  
Teachers And Parents ◽  
The Many

Pada masa pandemi covid-19 sekarang ini, kegiatan pembelajaran jarak jauh (PJJ) di semua tingkatan dan jenjang pendidikan, khususnya di tingkat taman kanak-kanak mengalami berbagai tantangan dan kendala. Di antaranya masih banyak guru yang mengalami kesulitan mengelola pembelajaran jarak jauh karena keterbatasan mereka dalam menguasai pembelajaran berbasis daring.� Sementara itu, kendala yang dihadapi orang tua murid adalah ketidaksiapan mereka dalam mendampingi anaknya dalam pembelajaran berbasis daring. Kondisi demikian menjadikan pelatihan pembelajaran berbasis daring bagi para guru dan orangtua murid sebagai salah satu solusi dalam mengatasi kendala pembelajaran di masa pandemi. Inilah yang menjadikan arti penting kegiatan pengabdian saat pendemi seperti sekarang ini bagi guru-guru yang menjadi garda terdepan dalam kegiatan pembelajaran. Metode dalam kegiatan pengabdian ini dilakukan dengan cara pelatihan dan pendampingan. Hasilnya, para peserta mampu mempergunakan berbagai aplikasi pembelajaran daring. Implikasi yang diperoleh dari kegiatan ini adalah bertambahnya keterampilan menerapkan teknologi pendidikan dalam kegiatan pembelajaran berbasis daring bagi guru-guru TK di Kecamatan Mranggen-Demak.��During the Covid-19 pandemic, distance learning activities (PJJ) at all levels and levels of education, especially at the kindergarten level, experience various challenges and obstacles. Among the many teachers who experience distance learning difficulties because of their limitations in mastering online-based learning. Meanwhile, schools that are related to students' parents are their unpreparedness in assisting children in online-based learning. This condition makes online-based learning training for teachers and parents of students as one of the solutions in overcoming learning problems during the pandemic. This is the important meaning of service activities during a pandemic like it is today for teachers who are at the forefront of learning activities. The method in this service activity is carried out by means of training and mentoring. As a result, the participants were able to use various online learning applications. The implication obtained from this activity is the development of the application of educational technology in online-based learning activities for kindergarten teachers in Mranggen-Demak District.

scholarly journals Demystifying the Random Feature-Based Online Multi-Kernel Learning

2021 ◽  
Author(s):  
Songnam Hong ◽  
Jeongmin Chae
Keyword(s):  
Online Learning ◽  
Low Complexity ◽  
Optimization Techniques ◽  
Streaming Data ◽  
Kernel Learning ◽  
Expert Advice ◽  
Theoretical Contribution ◽  
Learning Tasks ◽  
Feature Based ◽  
Regret Bound

<div>The random feature-based online multi-kernel learning (RF-OMKL) is a promising framework in functional learning tasks. This framework is necessary for an online learning with continuous streaming data due to its low-complexity and scalability. </div><div>In RF-OMKL framework, numerous algorithms can be presented according to an underlying online learning and optimization techniques. The best known algorithm (termed Raker) has been proposed with the lens of the famous online learning with expert advice, where each kernel from a kernel dictionary is viewed as an expert. Harnessing this relation, it was proved that Raker yields a sublinear {\em expert} regret bound, in which as the name implies, the best function is further restricted as the expert-based framework. Namely, it is not an actual sublinear regret bound under RF-OMKL framework. In this paper, we propose a novel algorithm (named BestOMKL) for RF-OMKL framework and prove that it achieves a sublinear regret bound under a certain condition. Beyond our theoretical contribution, we demonstrate the superiority of our algorithm via numerical tests with real datasets. Notably, BestOMKL outperforms the state-of-the-art kernel-based algorithms (including Raker) on various online learning tasks, while having a lower complexity as Raker. These suggest the practicality of BestOMKL.</div>

scholarly journals Website Development As An Online Classroom For Online Classes In Distance Learning

2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Regina Halent ◽  
Ika Prasetya Mukti ◽  
Janu Pinardi
Keyword(s):  
Online Learning ◽  
Distance Learning ◽  
Learning Activities ◽  
Learning Problems ◽  
Online Classes ◽  
Online Classroom ◽  
Website Development ◽  
Learning Programs ◽  
The Subject ◽  
Internet Networks

The spread of COVID-19 outbreaks makes learning activities in Indonesia become online learning. Online learning is followed by new problems, those are limited internet data, bad internet networks, and the use of many applications. Online learning in Indonesia must be immediately optimized because the COVID-19 outbreak is not over yet and there is a discourse that online learning will be applied permanently. The teacher can optimize online learning by building a website as an online classroom. If teachers build their websites, they can adjust the features on the website based on the online learning problems and the subject matter needs. Based on a questionnaire distributed, 83% of student respondents agreed if the teacher made a website. Besides, most of teacher respondents think the website can optimize online learning. The idea of the website as an online classroom is expected to contribute ideas and alternatives for online learning programs in Indonesia.

scholarly journals Kreativitas Mengajar Guru Pendidikan Agama Kristen Di Masa Covid-19

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Rinto Hasiholan Hutapea
Keyword(s):  
Online Learning ◽  
Student Learning ◽  
Religious Education ◽  
Learning Systems ◽  
Learning Problems ◽  
Important Thing ◽  
Nature Of Teaching ◽  
At Home ◽  
Descriptive Qualitative

This study aims to determine the desckription of the creativity of teaching Christian Religious Education teachers during the covid-19. The method used in this research is descriptive qualitative. The results show that teaching creativity is one of the important aspects that must be prossesed by Christian Religious Education teachers in dealing with online learning systems in the covid-19. Christian Religious Education teachers to be creative, at least understand well the nature of teaching creativity itself. In addition, Christian Religious Education teachers need to develop themselves in relation to creative teachers in teaching during the covid-19. Especially developing themselves in using online learning media. Another important thing is that Christian Religious Education teachers are able to overcome student learning problems at home related to Christian Religious Education learning materials.Penelitian ini bertujuan untuk mengetahui gambaran kreativitas mengajar guru Pendidikan Agama Kristen pada masa pandemi covid-19. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif. Hasil penelitian menunjukkan bahwa kreativitas mengajar merupakan salah satu aspek penting yang mesti dimiliki oleh guru Pendidikan Agama Kristen dalam menghadapi sistem pembelajaran daring di masa covid-19. Guru Pendidikan Agama Kristen untuk dapat menjadi kreatif, minimal memahami dengan baik hakikat dari kreativitas mengajar itu sendiri. Selain itu, guru Pendidikan Agama Kristen perlu untuk mengembangkan diri terkait guru yang kreatif dalam mengajar pada masa covid-19. Terutama mengembangkan diri dalam menggunakan media pembelajaran daring. Hal terpenting lainnya adalah guru Pendidikan Agama Kristen mampu mengatasi permasalahan belajar siswa di rumah terkait materi pembelajaran Pendidikan Agama Kristen itu sendiri. 

Moderating Learner-Centered E-Learning

2011 ◽  
pp. 536-561
Author(s):  
Curtis J. Bonk ◽  
Robert A. Wisher ◽  
Ji-Yeon Lee
Keyword(s):  
Online Learning ◽  
Idea Generation ◽  
Learning Problems ◽  
Student Reasoning ◽  
Online Instructors ◽  
Learner Centered ◽  
Problems And Solutions ◽  
E Learning ◽  
Online Instructor

In response to the changes taking place in collaborative online learning environments, this chapter discusses how the simultaneous emergence of collaborative technologies and the learner-centered movement impacts the role of the online instructor. As part of this review, research related to online moderation and facilitation of learning is summarized.  It is suggested that online instructors need to facilitate student generation and sharing of information, while assuming the role of learning coach or mentor to provide needed leadership and guidance.  Finally, ten key benefits and implications of e-learning, as well as ten potential problems and solutions, are summarized to assist e-learning decision makers and instructors.  Among the benefits include the permanence of the online text, the availability of online mentors, and the fostering of student idea generation.  Some consistent online learning problems include learner confusion, lack of justification of student reasoning, and difficulties in grading online content.  Instructors are provided with guidelines on how to take advantage of the benefits while limiting or overcoming the problems.

scholarly journals The Effectiveness of Online Learning Model Implementation

2021 ◽  
Author(s):  
Ali Muhtadi ◽  
Dian Wahyuningsih ◽  
Monika Sidabutar
Keyword(s):  
Online Learning ◽  
Student Satisfaction ◽  
Learning Model ◽  
Learning Activities ◽  
Learning Problems ◽  
Educational Institutions ◽  
Student Preparation ◽  
Data Presentation ◽  
Face To Face ◽  
Learning Modes

The study from home policy was implemented to reduce crowds as an effort to suppress the spread of Covid-19. All levels of education were asked to learn from home, guided and facilitated by educators and educational institutions. Ideally, the learning process should run smoothly even though learning activities are carried out online. However, the shift in learning modes from face-to-face to online has created many learning problems. This study aimed to assess the effectiveness of the implemention of online learning models in Indonesia. This was a descriptive study and a quantitative approach was used. Data were collected online using a questionnaire. Data were analyzed interactively through three components of analysis, namely data reduction, data presentation, and drawing conclusions or verification. Based on the results, it was found that the implementation of online learning was effective. 100% of the lecturers implemented online learning using LMS, of which 86.67% were skilled at using the LMS platform in carrying out online learning. The lecturers used various strategies to organize learning, including integrating cognitive materials in core activities to improve student preparation, involvement and independence in online learning activities. In addition, 50% of the lecturers have conducted student satisfaction surveys on online learning. Keywords: effectiveness, learning model, online learning

scholarly journals Learning Strategies at During the Covid-19 Pandemic at SD Muhammadiyah 5 Porong

2021 ◽  
Vol 10 ◽  
Author(s):  
Dwi Febyanovi Inaya ◽  
Muhlasin Amrullah
Keyword(s):  
Online Learning ◽  
Learning Strategies ◽  
Research Method ◽  
Teaching And Learning ◽  
Research Process ◽  
Learning Activities ◽  
Learning Problems ◽  
Face To Face ◽  
Face To Face Learning ◽  
Using Data

This research examines various aspects, including: student learning activities, problems during learning, to learning solutions at SD Muhammadiyah 5 Porong in the midst of the Covid-19 pandemic. In the research process using data collection techniques by means of interview, observation, photos and videos when the research process was carried out. This study aims to obtain information regarding the strategies being carried out at SD Muhammadiyah 5 Porong in learning in the midst of the Covid-19 pandemic. This research method uses descriptive qualitative research methods. The existence of the Covid-19 pandemic has resulted in the teaching and learning process now being shifted to online learning. Online learning is a solution to solving educational problems due to the current Covid-19 pandemic. The offline method is also applied through face-to-face learning and continues to carry out obligations by complying with health protocols. Such is the learning conducted at SD Muhammadiyah 5 Porong. By using the online method and the offline method which is applied at SD Muhammadiyah 5 Porong amidst the current learning problems with the state of Indonesia affected by Covid-19.

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