scholarly journals Research on Online Learning Curriculum in the Context of Big Data

2020 ◽  
Vol 750 ◽  
pp. 012034
Author(s):  
Sirong Mu
Keyword(s):  
Big Data ◽  
Online Learning

Learning Analytics Considered Harmful

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Research Community ◽  
Current Status ◽  
Online Course ◽  
Full Potential

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

Big Data Cognitive Storage: An Optimum Way of handling the Educational Data in Indian Scenario

2017 ◽  
Vol SED2017 (01) ◽  
pp. 5-7
Author(s):  
Ruchi Jain ◽  
Neelesh Kumar Jain
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Online Education ◽  
Data Protection ◽  
Teaching And Learning ◽  
Relevant Information ◽  
Indian Society ◽  
Digital Learning ◽  
Modern Education ◽  
Indian Scenario

The concept of big data has been incorporated in majority of areas. The educational sector has plethora of data especially in online education which plays a vital in modern education. Moreover digital learning which comprises of data and analytics contributes significantly to enhance teaching and learning. The key challenge for handling such data can be a costly affair. IBM has introduced the technology "Cognitive Storage" which ensures that the most relevant information is always on hand. This technology governs the incoming data, stores the data in definite media, application of levels of data protection, policies for the lifecycle and retention of different classes of data. This technology can be very beneficial for online learning in Indian scenario. This technology will be very beneficial in Indian society so as to store more information for the upliftment of the students’ knowledge.

scholarly journals Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources

2018 ◽  
Vol 13 (01) ◽  
pp. 23 ◽  
Author(s):  
Miftachul Huda ◽  
Andino Maseleno ◽  
Pardimin Atmotiyoso ◽  
Maragustam Siregar ◽  
Roslee Ahmad ◽  
...  
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Online Learning ◽  
Teaching And Learning ◽  
Research Direction ◽  
Digital Devices ◽  
Technology In Teaching ◽  
Innovative Environment ◽  
Information And Communication ◽  
Online Learning Resources

Digital devices like tablets, smart phones, and laptop have become increasingly raised and utilised in higher education. As a result, current trends on ICT (information and communication technology) used in education begin widely with focusing on teaching and learning. The new concept of big data in recent ICT domain extends the promising research direction on online learning and big data integration through promising content that can be tailored for each student based on the context and Internet behaviour of users in online learning. This paper aims to explore innovative design for innovative online learning in Higher education using Big Data approach. Critical review from referred journals and books was conducted using thematic analysis. This paper proposes model reference which can be implemented with the technology in teaching and learning to improve student learning environment and outcomes and to enhance students’ development, performance and achievement in learning process in higher education.

Optimal and Efficient Distributed Online Learning for Big Data

2015 ◽  
Author(s):  
Muhammed O. Sayin ◽  
N. Denizcan Vanli ◽  
Ibrahim Delibalta ◽  
Suleyman S. Kozat
Keyword(s):  
Big Data ◽  
Online Learning

Pembelajaran Online dan Hasil Menulis Karangan Argumentasi di Era Big Data

2020 ◽  
Vol 3 (1) ◽  
pp. 32
Author(s):  
Susi Alawiyah
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Statistical Method ◽  
Quantitative Research ◽  
Significance Level ◽  
Negative Effect ◽  
Study Population ◽  
11Th Grade ◽  
Parameter Coefficient

Abstract:  This study aims to determine the effect of the application of online learning on the results of writing arguments at SMK Negeri 5 Tangerang district in the era of big data. This research is a descriptive quantitative research in which the process of extracting information is manifested in the form of numbers as a tool to find information about what is known. The study population was all 11th grade students of SMK N 5 Tangerang Regency. The sample of this research is the 11th grade students of TPM 1 and 11th grade of TPM 2. The descriptive statistical method is used to analyze the application of online learning and its effect on the results of writing arguments. The research was conducted in March and April 2020, data were obtained from questionnaires and assessments of the results of writing student argument essays. The results of this study indicate that the magnitude of the parameter coefficient (-0.065) means that there is a negative effect on the application of online learning and the t statistical value is 0.632 with a significance level of 5% = 1.84, so the t statistical value is smaller than t table. The conclusion is that the application of online learning has a negative effect on the results of writing arguments in the era of big data.Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh penerapan pembelajaran online terhadap hasil menulis karangan argumentasi di SMK Negeri 5 kabupaten Tangerang di era big data. Penelitian ini adalah penelitian kuantitatif deskriptif dimana proses penggalian informasi diwujudkan dalam bentuk angka-angka sebagai alat untuk menemukan keterangan mengenai apa yang diketahui. Populasi penelitian adalah seluruh siswa kelas 11 SMK N 5 Kabupaten Tangerang. Sampel penelitian ini adalah siswa kelas 11 TPM 1 dan kelas 11 TPM 2. Metode statistic deskriftip digunakan untuk menganalisis penerapan pembelajaran online dan pengaruhnya terhadap hasil menulis karangan argumentasi. Penelitian dilaksanakan pada bulan Maret dan April 2020, data diperoleh dari kuesioner dan penilaian hasil menulis karangan argumentasi siswa.  Hasil penelitian ini menyatakan bahwa besarnya koefisien parameter (-0.065) yang berarti terdapat pengaruh yang negatif penerapan pembelajaran online dan nilai t statistik sebesar 0.632 dengan taraf signifikansi 5% = 1.84 maka nilai t statistik lebih kecil dari t tabel. Kesimpulannya bahwa penerapan pembelajaran online berpengaruh negatif terhadap hasil menulis karangan argumentasi di era big data.

Behaviour and Emotions of Working Professionals Towards Online Learning Systems

2020 ◽  
Vol 12 (2) ◽  
pp. 26-43
Author(s):  
Venkata Ramana Attili ◽  
Sreenivasa Rao Annaluri ◽  
Suresh Reddy Gali ◽  
Ramasubbareddy Somula
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Process ◽  
Online Courses ◽  
Influential Factors ◽  
Learning Systems ◽  
Professional Life ◽  
Online Classes ◽  
R Language ◽  
R Programming

Student behaviour in the classroom depends on various influential factors (such as family, friends, locality, habits, etc.). Once a student enters into professional life after completing the graduation, it finds it difficult to get back to the learning process due to a variety of issues. In such situations, most of the students go for online courses to improve their skills or to get a promotion at work by upgrading their academic degrees. The tendency of working professionals attending online classes is increasing rapidly due to the vast development in technology in recent times and due to the demand for innovative Secunderabad, e technologies. In this paper, a detailed study on a variety of participants from different work domains was carried out to study the sentiments of working professionals by analysing their behaviour and emotions using Hadoop, big data, and R-Language. Using the RFacebook API, the functioning of the students was analysed in this work by using R programming. Results have shown that the behaviour of 89% working professionals is positive, and emotionally, 75% were satisfied with online courses. However, the tendency of being lazy was also expressed by many for online courses.

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