scholarly journals Peer Assessment Dataset

2016 ◽  
Vol 3 (2) ◽  
pp. 322-324 ◽  
Author(s):  
Andrii Vozniuk ◽  
Adrian Holzer ◽  
Denis Gillet
Keyword(s):  
Social Media ◽  
University Students ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Master's Level ◽  
Massive Open Online ◽  
Supporting Tool

Peer assessment is seen as a powerful supporting tool to achieve scalability in the evaluation of complex assignments in large courses, possibly virtual ones, as in the context of massive open online courses (MOOCs). However, the adoption of peer assessment is slow due in part to the lack of ready-to-use systems. Furthermore, the validity of peer assessment is still under discussion. In this paper, in order to tackle some of these issues, we present a dataset containing assessment of student submissions by peer students and by instructors during our Social Media course with 60 master's level university students. The dataset allows to train and test algorithms predicting grades of instructors based on grades of peer students.

The MOOCs

2015 ◽  
pp. 228-247 ◽  
Author(s):  
John F. LeCounte ◽  
Detra Johnson
Keyword(s):  
Social Media ◽  
Online Courses ◽  
Low Cost ◽  
Massive Open Online Courses ◽  
University Of Pennsylvania ◽  
Massachusetts Institute Of Technology ◽  
Massive Open Online ◽  
Social Media Platforms ◽  
Institute Of Technology ◽  
Technological Platform

In this chapter, the authors present the rapid rise of Massive Open Online Courses (MOOCs) derived from a yearning to create and make widely available materials and conditions for participatory learning and creative space dedicated to the open education. Massive Open Online Courses (MOOCs) were developed to provide open, meaning unrestricted, online courses without higher education cost constraints to students. This new technological platform was embraced, developed, and offered by some of the country's leading universities and institutions including Harvard, University of Pennsylvania, Stanford, and Massachusetts Institute of Technology (MIT). Students may collaborate through strategic social media platforms such as LinkedIn, Facebook, and Twitter. Further, according to LeCounte et al. (2014), the social media partnerships have been found to offer competitive advantages in terms of low cost and tremendous visibility to both corporations and institutions of higher learning.

The MOOCs

2016 ◽  
pp. 1829-1848
Author(s):  
John F. LeCounte ◽  
Detra Johnson
Keyword(s):  
Social Media ◽  
Online Courses ◽  
Low Cost ◽  
Massive Open Online Courses ◽  
University Of Pennsylvania ◽  
Massachusetts Institute Of Technology ◽  
Massive Open Online ◽  
Social Media Platforms ◽  
Institute Of Technology ◽  
Technological Platform

In this chapter, the authors present the rapid rise of Massive Open Online Courses (MOOCs) derived from a yearning to create and make widely available materials and conditions for participatory learning and creative space dedicated to the open education. Massive Open Online Courses (MOOCs) were developed to provide open, meaning unrestricted, online courses without higher education cost constraints to students. This new technological platform was embraced, developed, and offered by some of the country's leading universities and institutions including Harvard, University of Pennsylvania, Stanford, and Massachusetts Institute of Technology (MIT). Students may collaborate through strategic social media platforms such as LinkedIn, Facebook, and Twitter. Further, according to LeCounte et al. (2014), the social media partnerships have been found to offer competitive advantages in terms of low cost and tremendous visibility to both corporations and institutions of higher learning.

Tweeting Continuing Education

2018 ◽  
Vol 9 (1) ◽  
pp. 79-101
Author(s):  
Ritanjali Panigrahi ◽  
Praveen Ranjan Srivastava
Keyword(s):  
Social Media ◽  
Continuing Education ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Classroom Teaching ◽  
Massive Open Online ◽  
Twitter Data ◽  
Social Media Tools ◽  
The Government ◽  
Conventional Classroom

The rapid growth of technology has transformed education from conventional classroom teaching to learner centred, flexible learning anytime anywhere resulting in the popularity of Massive Open Online Courses (MOOCs). It is evident that many MOOCs have adopted social media tools to engage their learners through information sharing, participation, and collaboration to create and consume information. In addition to this, social media is the best place to understand crowd sentiments considering the massive amount of data being generated. This study through text mining of MOOC providers related Twitter data discovers the sentiments of users towards MOOCs, association rules, and the engagement of MOOC providers in Twitter. This article also analyses the traits of the influencers in seven MOOC providers and discovers that the influencers are popular users with higher numbers of followers count. The implications are discussed for MOOC industry, academic institutions, and the government.

Collaborative Calibrated Peer Assessment in Massive Open Online Courses

2020 ◽  
pp. 1408-1434
Author(s):  
Asma Boudria ◽  
Yacine Lafifi ◽  
Yamina Bordjiba
Keyword(s):  
Open Access ◽  
Collaborative Learning ◽  
Online Courses ◽  
Peer Assessment ◽  
Learning Algorithms ◽  
Massive Open Online Courses ◽  
Major Difficulty ◽  
Massive Open Online ◽  
New Approach

The free nature and open access courses in the Massive Open Online Courses (MOOC) allow the facilities of disseminating information for a large number of participants. However, the “massive” propriety can generate many pedagogical problems, such as the assessment of learners, which is considered as the major difficulty facing in the MOOC. In fact, the immense number of learners who exceeded in some MOOC the hundreds of thousands make the instructors' evaluation of students' production quite impossible. In this work, the authors present a new approach for assessing the learners' production in MOOC. This approach combines the peer assessment with the collaborative learning and the calibrated method. It aims at increasing the degree of trust in peer-assessment. For evaluating the proposed approach, the authors implemented a MOOC dedicated for learning algorithms. In addition, an experiment was conducted during two months for knowing the effects of the proposed approach. The obtained results are presented in this paper. They are judged as very interesting and encouraging.

Open Courses, Informal, Social Learning and Mobile Photography

2016 ◽  
Vol 8 (4) ◽  
pp. 17-33 ◽  
Author(s):  
Mark McGuire
Keyword(s):  
Social Media ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Mobile Media ◽  
Connected Learning ◽  
Creative Commons ◽  
Open Courses ◽  
Personal Interests ◽  
The Way

This paper provides an overview of MOOCs (Massive Open Online Courses) and contextualizes them within the broader trends of open, informal and mobile learning. It then discuss Phonar Nation, a free, open, non-credit five-week photography course that was offered twice in 2014 using mobile media to reach youth from 12-18 years of age. The author argues that Phonar Nation highlights several related developments that are leading to positive innovations in education. Firstly, it is not only open access but also uses and produces Creative Commons-licensed content that is open to be shared. Secondly, it is collaborative in the way that it is taught and in the way that participants are encouraged to engage with one another through social media sites. Thirdly, Phonar Nation exemplifies an approach that advocates call “Connected Learning”, which is socially embedded, driven by personal interests, and oriented to further educational and economic opportunities.

scholarly journals Peer assessment for massive open online courses (MOOCs)

2014 ◽  
Vol 15 (3) ◽  
Author(s):  
Hoi K. Suen
Keyword(s):  
Formative Assessment ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Massive Open Online Course ◽  
Online Discussion Forums ◽  
Assessment Results

<p>The teach-learn-assess cycle in education is broken in a typical massive open online course (MOOC). Without formative assessment and feedback, MOOCs amount to information dump or broadcasting shows, not educational experiences. A number of remedies have been attempted to bring formative assessment back into MOOCs, each with its own limits and problems. The most widely applicable approach for all MOOCs to date is to use peer assessment to provide the necessary feedback. However, unmoderated peer assessment results suffer from a lack of credibility. Several methods are available today to improve on the accuracy of peer assessment results. Some combination of these methods may be necessary to make peer assessment results sufficiently accurate to be useful for formative assessment. Such results can also help to facilitate peer learning, online discussion forums, and may possibly augment summative evaluation for credentialing.</p>

scholarly journals An Analysis of the Profiles and the Opinion of Students Enrolled on xMOOCs at the University of Málaga

2019 ◽  
Vol 11 (24) ◽  
pp. 6910 ◽  
Author(s):  
Julio Ruiz-Palmero ◽  
Daniel López-Álvarez ◽  
Enrique Sánchez-Rivas ◽  
José Sánchez-Rodríguez
Keyword(s):  
Social Media ◽  
Subject Matter ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Men And Women ◽  
Level Of Satisfaction ◽  
The Subject ◽  
High Level ◽  
The University

The study aims to learn more about the profiles of students who attended several Massive Open Online Courses (MOOCs) at the University of Málaga (Málaga, Spain) and their opinion about them. The results of this study are based on a survey conducted by the students who completed the courses. The number of men and women as a whole is similar, although significant differences can be observed depending on the subject matter of the courses, which is also the case with the age of the students. The data revealed that 80% have university studies and 60% were working. The students in the sample learned about MOOCs mainly from other people (friends, social media, etc.) and showed a high level of satisfaction with them. It is significant that 99.4% would take another MOOC or that 97.9% would recommend it to a friend, colleague, or family member.

scholarly journals MOOCs: a differentiation by pedagogy, content and assessment

2018 ◽  
Vol 35 (1) ◽  
pp. 2-11 ◽  
Author(s):  
Misrah Hamisah Mohamed ◽  
Michael Hammond
Keyword(s):  
Instructional Design ◽  
Design Methodology ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Content Type ◽  
Fine Grained ◽  
Course Materials

Purpose Massive open online courses (MOOCs) have often been divided between connectivist MOOCs and extended MOOCs (xMOOCs). Each form of MOOC proposes a distinctive view about knowledge acquisition. However, the breakdown between the two MOOCs is too broad in practice, and a more fine-grained approach is needed. Thus, the purpose of this paper is to describe the organisational features of exemplar MOOCs and their differences. Design/methodology/approach The study observed the ten newly available MOOCs aimed at teachers of English as a second language and included examples from existing providers: NovoEd, Coursera, FutureLearn and Canvas. These MOOCs were analysed and compared using a matrix with three main focuses: pedagogical assumptions, content materials and assessment. Findings The findings revealed that all courses corresponded to the idea of an xMOOC in that they were run on a model of instructional design. However, the course materials varied in respect to media used, use of networking, discussion forums and degree of openness. In terms of assessment, all MOOCs used formative approaches, all had automated responses but only some had summative and peer assessment. Originality/value The study succeeded in showing the variation in courses, thus enabling the range of possibilities open to course designers and providers.

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