Performance Evaluation of a Smartphone-Based Active Learning System for Improving Learning Motivation During Study of a Difficult Subject

2018 ◽  
pp. 531-539 ◽  
Author(s):  
Noriyasu Yamamoto ◽  
Noriki Uchida
Keyword(s):  
Performance Evaluation ◽  
Active Learning ◽  
Learning System ◽  
Learning Motivation ◽  
Difficult Subject

scholarly journals Pengaruh Emergency Remote Learning Untuk Melihat Motivasi Belajar Anak Usia Dini

2020 ◽  
Vol 2 (2) ◽  
pp. 68-82
Author(s):  
Mardi Fitri
Keyword(s):  
Early Childhood ◽  
Online Learning ◽  
Technological Development ◽  
Learning System ◽  
Learning Motivation ◽  
Technology In Education ◽  
Learning Technology ◽  
Early Childhood Learning ◽  
The Impact ◽  
Remote Learning

ABSTRAK : Kepesatan perkembangan teknologi berdampak pada sitem pembelajaran termasuk pada anak usia dini. Penelitian ini bertujuan untuk mengetahui pengaruh emergency remote learning terhadap motivasi belajar anak usia dini. Metode penelitian menggunakan penelitian kajian literatur. Berbagai literatur tentang pembelajaran daring dihimpun dalam penelitian ini. Temuan penilitian ini yaitu, pembelajaran daring sebenarnya  dapat  membangkitkan motivasi  belajar  anak  dengan  syarat adanya dukungan dari orangtua dan pendidik, pemanfaatan media seperti  zoom  dan  lainnya  diperlukan untuk membuat pembelajaran agar lebih menarik dan pemanfaatan teknologi belajar  dalam  pendidikan  tidak  dapat  dilepaskan,  maka  perlu  adaptasi antara orangtua, peserta didik dan pendidik dalam pembelajaran daring. Hasil penelitian ini memberikan kontribusi dalam pengetahuan tentang dampak pembelajaran daring terhadap motivasi belajar anak usia dini. Rekomendasi untuk penelitian selanjutnya adalah agar melakukan penelitian eksperimen dan penelitian tindakan kelas untuk mengetahui dampak langsung dari pembelajaran daring. ABSTRACT : The rapidity of technological development has an impact on the learning system, including early childhood. This study aims to determine the effect of emergency remote learning on early childhood learning motivation. The research method used literature review research. Various literatures on online learning were collected in this study. The findings of this study are, first, online learning can actually arouse children's learning motivation on the condition that there is support from parents and educators. Second, the use of media such as zoom and others is needed to make learning more interesting. Third, the use of learning technology in education cannot be separated, it is necessary to adapt between parents, students and educators in online learning. The results of this study contribute to knowledge about the impact of online learning on early childhood learning motivation. The recommendation for further research is to carry out experimental research and classroom action research to determine the direct impact of online learning.

scholarly journals ANALISIS MOTIVASI BELAJAR DAN HASIL BELAJAR SISWA DI MASA PANDEMI COVID-19

2021 ◽  
Vol 2 (1) ◽  
pp. 90-101
Author(s):  
Wulan Rahayu Syachtiyani ◽  
Novi Trisnawati
Keyword(s):  
Online Learning ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Learning System ◽  
Learning Motivation ◽  
Research Subjects ◽  
Average Value ◽  
Analysis Technique ◽  
Good Learning

The covid-19 pandemic has shifted the learning system in Indonesia to distance learning, or better known as online learning. Various education units carry out online learning, this can bring about changes in learning activities. Whether it’s from students, teachers and the learning environment. From the existing phenomena, the researcher wants to conduct an analysis related to learning motivation and student learning outcomes during the covid-19 pandemic. This study aims (1) to find out how student motivation during the covid-19 pandemic and (2) to find out how student learning outcomes during the covid-19 pandemic. This research is qualitative descriptive study using a qualitative approach. The research subjects were students of X OTKP class, vocational high school 1 Ngawi while the value of student learning outcomes was taken in the General Administration subject. Data collection techniques using interviews, observation, and documentation. While the data analysis technique uses percentages. From the research conducted, it was found that the six indicators of learning motivation got an average of 84,28%, which means that student learning motivation falls into the high motivation category. While the average value of student learning outcomes got a percentage of 82,64%. Which means that student learning the category of good learning outcomes.

Computer Assisted Active Learning System Development for The History of Civilization E-learning Courses by Using Free Open Source Software Platforms

2011 ◽  
pp. 203-221
Author(s):  
Dilek Karahoca ◽  
Adem Karahoca ◽  
Ilker Yengin ◽  
Huseyin Uzunboylu
Keyword(s):  
Active Learning ◽  
Open Source ◽  
Open Source Software ◽  
Engineering Students ◽  
Learning System ◽  
Computer Assisted ◽  
Engineering Faculty ◽  
Implementation Purpose ◽  
History Of ◽  
E Learning

This chapter explains the developmental reasons and design to implementation cycles of the Computer Assisted Active Learning System (CALS) for History of Civilization (HOC) courses at Engineering Faculty of Bahcesehir University. Implementation purpose of CALS is to develop set of tools in a systematic way to enhance students’ critical thinking abilities for HOC courses. Dynamic meta-cognitive maps, movies, flash cards and quiz tools were developed. In order to reduce implementation costs of CALS, open Free and Open Source Software (FOSS) standards and platforms were utilized in the development and implementation cycles. This study also investigates the importance of the e-learning platform usage in HOC courses in Engineering Faculty of Bahcesehir University to improve the level of students. Results indicate that the concept based meta-cognitive tool improves learning instead of students just memorizing the class material. Also, engineering students improved their positive attitude towards who wants to learn the history of civilization by using CALS. This study shows that software helps to change human behavior in the learning cycle. This chapter highlights the implications of successful development of FOSS for the CALS.

Personalized Information Retrieval in a Semantic-based Learning Environment

2011 ◽  
pp. 270-288 ◽  
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this paper, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage from the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

Personalized Information Retrieval in a Semantic-Based Learning Environment

2011 ◽  
pp. 370-389
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this chapter, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents, and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage of the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

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