scholarly journals Efforts to Improve Teacher Creativity Through Online Learning Models During the Covid-19 Pandemic at SD Negeri 2 Rempe

2021 ◽  
Vol 3 (2) ◽  
pp. 55-64
Author(s):  
Mukhsen
Keyword(s):  
Online Learning ◽  
Learning Models ◽  
Teacher Creativity

Penelitian ini bertujuan untuk mengetahui model pembelajaran daring dalam meningkatkan kreatifitas dan inisiatif guru dalam mengelola pembelajaran di rumah di SD Negeri 2 Rempe. Jenis penelitian yang dilakukan yaitu penelitian tindakan sekolah (PTS) dengan menggunakan model dari Elliot. Penelitian diadakan di SD Negeri 2 Rempe pada tahun pelajaran 2019/2020 di masa pandemi Covid 19. Subjek penelitian adalah guru kelas 1, 2, 3, 4, dan guru kelas 5. Obyek penelitian adalah pembelajaran di rumah melalui pembelajaran daring/online dimasa pademi covid-19. Pengumpulan data yaitu melalui observasi dan dokumentasi kemudian dianalisis secara kualitatif. Berdasarkan hasil penelitian menunjukkan model pembelajaran daring dapat mengatasi dan menjadi solusi dalam pelaksanaan pembelajaran dimasa pademi covid-19 dengan melibatkan kreatifitas dan inisiatif guru untuk mengelola pembelajaran di rumah. Kreatifitas dan inisiatif guru mengalami peningkatan dalam pembuatan RPP sebesar 18%, pengelolaan pembelajaran daring sebesar 12%, keaktifan siswa sebesar 17% dan nilai belajar siswa sebesar 9,6% dari siklus I ke siklus II dalam pembelajaran

scholarly journals IMPROVING TEACHERS' CREATIVITY IN TEACHING DURING THE COVID-19 PANDEMIC THROUGH ASSIGNMENT METHODS IN SLB NEGERI PEMBINA PEKANBARU

2021 ◽  
Vol 10 (4) ◽  
pp. 1012
Author(s):  
Yasni Yasni
Keyword(s):  
Online Learning ◽  
Action Research ◽  
Learning Model ◽  
Learning Models ◽  
Assignment Method ◽  
Teacher Creativity ◽  
Creative Learning ◽  
Learning At Home ◽  
Teacher Acceptance ◽  
At Home

Based on the results of pre-research observations conducted by researchers on Monday at Pembina State SLB Pekanbaru, problems were found, namely: There are still teachers who have not been able to apply online learning at home due to limitations in technology. There are still many teachers who apply the learning model with many assignments without paying attention to the situation and conditions during this covid-19 outbreak. Learning is only monotonous and by using creative learning models that are fun and not boring for children, children's character and creativity must continue to be fostered. Giving too much material and tiring children makes children lose their appetite for learning. The type of research is school action research with a sample of 34 teachers at SLB Pembina Pekanbaru. Based on the results of the analysis and discussion, it can be concluded that the creativity of teachers in teaching at SLB Pembina Pekanbaru can be increased through the assignment method. Under these conditions, the level of teacher acceptance increases. Comparison of aspects of teacher creativity in teaching through the assignment method in cycle I and II increased from 58.8% and cycle II to 75.1%.

scholarly journals Implementation of the online learning at vocational high school during Covid-19: Between obligations and barriers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ummi Mukarromah ◽  
Wiwik Wijayanti
Keyword(s):  
Online Learning ◽  
Qualitative Method ◽  
Soft Skills ◽  
Vocational Schools ◽  
Vocational High School ◽  
Digital Competence ◽  
Hard Skills ◽  
Teacher Creativity ◽  
The Impact ◽  
Hotel Accommodation

Vocational schools are no exception to implementing the online learning policy during the covid-19 pandemic, including students majoring in hotel accommodation. This study aims to describe how the school develops its readiness to implement the policy, particularly its challenges. This study also aims to determine the constraints and impacts of implementing the policy. Using a qualitative method, this study involved two vocational schools in Yogyakarta that have Hotel Accommodation major. The heads of the departments, the productive teachers, and some students were invited to several interviews. Documentation was also used to obtain detailed information. The results were categorized into two aspects: hard-skills and soft-skills. From the first aspect, challenges that are faced as the impact of the policy are (1) online learning at vocational schools majoring in hotel accommodation requires facilities and infrastructure that do not include internet quota, (2) teacher digital competence and teacher creativity in carrying out learning need to be improved, (3) students feel bored with online learning, so motivation needs to be grown, (4) skills/ practice-based learning implemented in school alternately with a limited number of students. The second aspect indicated that the policy makes it difficult to develop students' soft skills that are also measured as the learning objective. These constraints are important to note for the implementation of the online learning policy to be successful.

The Effectiveness of Online and Blended Learning: A Meta-Analysis of the Empirical Literature

2013 ◽  
Vol 115 (3) ◽  
pp. 1-47 ◽  
Author(s):  
Barbara Means ◽  
Yukie Toyama ◽  
Robert Murphy ◽  
Marianne Baki
Keyword(s):  
Online Learning ◽  
Blended Learning ◽  
Learning Outcomes ◽  
Classroom Instruction ◽  
Meta Analysis ◽  
Learning Models ◽  
Web Based ◽  
Face To Face ◽  
Learning Conditions ◽  
Face To Face Instruction

Background/Context Earlier research on various forms of distance learning concluded that these technologies do not differ significantly from regular classroom instruction in terms of learning outcomes. Now that web-based learning has emerged as a major trend in both K–12 and higher education, the relative efficacy of online and face-to-face instruction needs to be revisited. The increased capabilities of web-based applications and collaboration technologies and the rise of blended learning models combining web-based and face-to-face classroom instruction have raised expectations for the effectiveness of online learning. Purpose/Objective/Research Question/Focus of Study This meta-analysis was designed to produce a statistical synthesis of studies contrasting learning outcomes for either fully online or blended learning conditions with those of face-to-face classroom instruction. Population/Participants/Subjects The types of learners in the meta-analysis studies were about evenly split between students in college or earlier years of education and learners in graduate programs or professional training. The average learner age in a study ranged from 13 to 44. Intervention/Program/Practice The meta-analysis was conducted on 50 effects found in 45 studies contrasting a fully or partially online condition with a fully face-to-face instructional condition. Length of instruction varied across studies and exceeded one month in the majority of them. Research Design The meta-analysis corpus consisted of (1) experimental studies using random assignment and (2) quasi-experiments with statistical control for preexisting group differences. An effect size was calculated or estimated for each contrast, and average effect sizes were computed for fully online learning and for blended learning. A coding scheme was applied to classify each study in terms of a set of conditions, practices, and methodological variables. Findings/Results The meta-analysis found that, on average, students in online learning conditions performed modestly better than those receiving face-to-face instruction. The advantage over face-to-face classes was significant in those studies contrasting blended learning with traditional face-to-face instruction but not in those studies contrasting purely online with face-to-face conditions. Conclusions/Recommendations Studies using blended learning also tended to involve additional learning time, instructional resources, and course elements that encourage interactions among learners. This confounding leaves open the possibility that one or all of these other practice variables contributed to the particularly positive outcomes for blended learning. Further research and development on different blended learning models is warranted. Experimental research testing design principles for blending online and face-to-face instruction for different kinds of learners is needed.

Applying Constructivism to Online Learning

2009 ◽  
pp. 58-73 ◽  
Author(s):  
Jennifer Lee ◽  
Lin Lin
Keyword(s):  
Online Learning ◽  
Instructional Design ◽  
Learning Environment ◽  
Learning Environments ◽  
Learning Models ◽  
Online Learning Environments ◽  
Design Models ◽  
The Past ◽  
Environment Assessment ◽  
Five Elements

Based on constructivist principles, this chapter provides a new instructional design map for online learning environments. This instructional design map includes considerations of five elements, namely, learner, knowledge, learning environment, assessment, and technology. Considerations of these elements are based on analyses of the past and existing instructional design models, online learning models, and constructive principles. Applications of the instructional design map are also discussed in the chapter.

The Influence of Politics and Diversity in Educational Differentiation

2020 ◽  
pp. 184-192
Author(s):  
Desiree L. DePriest
Keyword(s):  
Online Learning ◽  
Critical Examination ◽  
Traditional Schools ◽  
Diverse Populations ◽  
Learning Models ◽  
The Past ◽  
And Behaviors ◽  
Online Environments

Current societal shifts are unfolding connections between laws, acts, and behaviors of the past that affect education in the present. There is limited scholarship that reveals the historical intentionality in excluding underrepresented and marginalized persons from education. The concern is that the quest for higher industry recognition based on the old models of elite and traditional schools will make online environments vulnerable to those same exclusions. The mission is to apply transparency to the underlying disparate history in education and how severely it has affected so many generations of people, change the paradigm going forward, and not repeat homogeneity online. This chapter proposes a critical examination of factors that necessitated the evolution from past education models established to perpetuate societal dominance by a select few, to the present inclusive online learning models. The chapter argues that technology, along with the failure to include diverse populations as a unique demographic, contributed to the disruption that became online learning.

scholarly journals Online learning behavior analysis based on machine learning

2019 ◽  
Vol 14 (2) ◽  
pp. 97-106
Author(s):  
Ning Yan ◽  
Oliver Tat-Sheung Au
Keyword(s):  
Machine Learning ◽  
Online Learning ◽  
Correlation Analysis ◽  
Prediction Accuracy ◽  
Classification Models ◽  
Limited Data ◽  
Learning Models ◽  
Learning Behavior ◽  
Content Type ◽  
Machine Learning Models

Purpose The purpose of this paper is to make a correlation analysis between students’ online learning behavior features and course grade, and to attempt to build some effective prediction model based on limited data. Design/methodology/approach The prediction label in this paper is the course grade of students, and the eigenvalues available are student age, student gender, connection time, hits count and days of access. The machine learning model used in this paper is the classical three-layer feedforward neural networks, and the scaled conjugate gradient algorithm is adopted. Pearson correlation analysis method is used to find the relationships between course grade and the student eigenvalues. Findings Days of access has the highest correlation with course grade, followed by hits count, and connection time is less relevant to students’ course grade. Student age and gender have the lowest correlation with course grade. Binary classification models have much higher prediction accuracy than multi-class classification models. Data normalization and data discretization can effectively improve the prediction accuracy of machine learning models, such as ANN model in this paper. Originality/value This paper may help teachers to find some clue to identify students with learning difficulties in advance and give timely help through the online learning behavior data. It shows that acceptable prediction models based on machine learning can be built using a small and limited data set. However, introducing external data into machine learning models to improve its prediction accuracy is still a valuable and hard issue.

E-Learning Methodological Models and Typologies

2009 ◽  
pp. 249-255 ◽  
Author(s):  
Maria Ranieri
Keyword(s):  
Online Learning ◽  
Social Networking ◽  
Learning Communities ◽  
Learning Models ◽  
Online Learning Communities ◽  
E Learning ◽  
The Web

This article aims to examine these different e-learning models and discuss some recent evolutions in this field due to the development of online learning communities (Palloff & Pratt, 1999) and the diffusion of social networking practices that have emerged in the Web in recent years (Bonaiuti, 2006).

Effective Online Learning - Both a Utilization of Technology and Methods

2003 ◽  
pp. 179-194 ◽  
Author(s):  
Jan Frick ◽  
Michael Sautter ◽  
Svend Ovrebekk
Keyword(s):  
Online Learning ◽  
Learning Environments ◽  
Online Courses ◽  
Learning Models ◽  
Research Project ◽  
Online Learning Environments ◽  
Utilization Of Technology ◽  
Modeling Techniques ◽  
Learning Research ◽  
Good Learning

The authors have used modeling techniques to gain understanding of causes and relationships in online learning environments. The cases that the modeling relates to have their origin in the large Norwegian research project NettLæR, which runs online courses on various topics and levels. The modeling work seems to indicate that good learning models from earlier learning research may still be of relevance, but the conditions to make them work, and the context they operate in, are more limited and more critical than before.

scholarly journals Online Learning Models for Content Popularity Prediction in Wireless Edge Caching

2019 ◽  
Author(s):  
Navneet Garg ◽  
Mathini Sellathurai ◽  
Bharath Bettagere ◽  
Vimal Bhatia ◽  
Tharmalingam Ratnarajah
Keyword(s):  
Online Learning ◽  
Learning Models ◽  
Content Popularity ◽  
Popularity Prediction ◽  
Edge Caching

scholarly journals The Effect of Problem Based Learning Models in Online Learning Settings on Student Cognitive Learning Outcomes in History Subjects

2021 ◽  
Vol 5 (1) ◽  
pp. 148
Author(s):  
Megiridha Loppies ◽  
Aip Badrujaman ◽  
Sarkadi Sarkadi
Keyword(s):  
Online Learning ◽  
Learning Outcomes ◽  
Cognitive Learning ◽  
Problem Based Learning ◽  
Sampling Technique ◽  
Control Group ◽  
Learning Models ◽  
Control Group Design ◽  
Quasi Experimental ◽  
Cognitive Learning Outcomes

This study aims to examine the effect of problem-based learning models on the achievement of student learning outcomes in History subjects. This research was conducted at Pusaka 1 Jakarta Senior High School. The method used in this research is quantitative quasi-experimental with a nonequivalent control group design model. The population in this study were all students of class XI IPS as many as four classes at SMAS Pusaka 1 Jakarta. The research sample was determined by purposive sampling technique to determine one class as an experimental class using a problem-based learning model and another class as a control class using conventional learning models. The results of hypothesis testing using the t test, obtained tcount = 9.25,> from ttable = 1.99. Thus, Ho is rejected and Ha is accepted, so it can be concluded that there is a significant influence between problem-based learning models in online learning settings on cognitive learning outcomes of class XI IPS at SMAS Pusaka 1 Jakarta on History Subjects.

Sign in / Sign up

Export Citation Format

Share Document