scholarly journals Evaluation of Student Feedback Within a MOOC Using Sentiment Analysis and Target Groups

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Karsten Lundqvist ◽  
Tharindu Liyanagunawardena ◽  
Louise Starkey
Keyword(s):  
Sentiment Analysis ◽  
Prior Knowledge ◽  
Computer Programming ◽  
Student Experience ◽  
Target Group ◽  
Student Feedback ◽  
Target Groups ◽  
The Subject

Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing student experience in a beginner computer programming MOOC. A dataset of more than 25,000 online posts made by participants during the course was analysed and compared to student feedback. The results were further analysed by grouping participants according to their prior knowledge of the subject: beginner, experienced, and unknown. In this study, the average sentiment expressed through online posts reflected the feedback statements. Beginners, the target group for the MOOC, were more positive about the course than experienced participants, largely due to the extra assistance they received. Many experienced participants had expected to learn about topics that were beyond the scope of the MOOC. The results suggest that MOOC designers should consider using sentiment analysis to evaluate student feedback and inform MOOC design.

scholarly journals Evaluation of student feedback within a MOOC using sentiment analysis and target groups

2020 ◽  
Author(s):  
Karsten Lundqvist ◽  
T Liyanagunawardena ◽  
Anne Starkey
Keyword(s):  
Sentiment Analysis ◽  
Prior Knowledge ◽  
Computer Programming ◽  
Student Experience ◽  
Target Group ◽  
Student Feedback ◽  
Target Groups ◽  
The Subject

© 2020, Athabasca University. Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing student experience in a beginner computer programming MOOC. A dataset of more than 25,000 online posts made by participants during the course was analysed and compared to student feedback. The results were further analysed by grouping participants according to their prior knowledge of the subject: beginner, experienced, and unknown. In this study, the average sentiment expressed through online posts reflected the feedback statements. Beginners, the target group for the MOOC, were more positive about the course than experienced participants, largely due to the extra assistance they received. Many experienced participants had expected to learn about topics that were beyond the scope of the MOOC. The results suggest that MOOC designers should consider using sentiment analysis to evaluate student feedback and inform MOOC design.

scholarly journals Evaluation of student feedback within a MOOC using sentiment analysis and target groups

2020 ◽  
Author(s):  
Karsten Lundqvist ◽  
T Liyanagunawardena ◽  
Anne Starkey
Keyword(s):  
Sentiment Analysis ◽  
Prior Knowledge ◽  
Computer Programming ◽  
Student Experience ◽  
Target Group ◽  
Student Feedback ◽  
Target Groups ◽  
The Subject

© 2020, Athabasca University. Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing student experience in a beginner computer programming MOOC. A dataset of more than 25,000 online posts made by participants during the course was analysed and compared to student feedback. The results were further analysed by grouping participants according to their prior knowledge of the subject: beginner, experienced, and unknown. In this study, the average sentiment expressed through online posts reflected the feedback statements. Beginners, the target group for the MOOC, were more positive about the course than experienced participants, largely due to the extra assistance they received. Many experienced participants had expected to learn about topics that were beyond the scope of the MOOC. The results suggest that MOOC designers should consider using sentiment analysis to evaluate student feedback and inform MOOC design.

Recent changes in hypoxia training at the Royal Air Force Centre of Aviation Medicine

2015 ◽  
Vol 101 (2) ◽  
pp. 186-187
Author(s):  
A Wrigley
Keyword(s):  
Air Force ◽  
Decompression Sickness ◽  
Student Experience ◽  
Training Method ◽  
Royal Air Force ◽  
Aviation Medicine ◽  
Oxygen Breathing ◽  
Hypobaric Chamber ◽  
The Subject ◽  
New System

AbstractHypoxia training at the Royal Air Force Centre of Aviation Medicine (RAF CAM) has traditionally involved the use of a hypobaric chamber to induce hypoxia. While giving the student experience of both hypoxia and decompression, hypobaric chamber training is not without risks such as decompression sickness and barotrauma. This article describes the new system for hypoxia training known as Scenario-Based Hypoxia Training (SBHT), which involves the subject sitting in an aircraft simulator and wearing a mask linked by hose to a Reduced Oxygen Breathing Device (ROBD). The occupational requirements to be declared fit for this new training method are also discussed.

scholarly journals Striving towards Social Relevance: New Curatorial Interpretations of the Soviet Period in Estonian and Latvian Museums

2021 ◽  
Vol 25 (1) ◽  
pp. 175-211
Author(s):  
Anu Kannike ◽  
Jana Reidla
Keyword(s):  
Prior Knowledge ◽  
Crucial Role ◽  
Historical Research ◽  
Soviet Period ◽  
Social Relevance ◽  
Team Members ◽  
Cultural Research ◽  
The Subject ◽  
The Voice

The main museums in Estonia and Latvia have lately staged new exhibitions that proceed from a contemporary museological approach and reflect the results of historical research. The article compares three cases which present alternative but complementary interpretations of the Soviet period. The authors pay special attention to the application of the biographical method prominent in contemporary cultural research, and the museological method of multivocality. They conclude that in the case of multivocality, effectively addressing different visitor groups is a great challenge to curators. There is a risk that the simplified mediation of contradictory memories and views will leave a gap for visitors with less prior knowledge about the subject of the exhibition. In large exhibition teams, the curator has a crucial role to play in negotiating with team members to prevent the concept from dispersing. In the cases studied, it is possible to observe the curators’ views and detect a similar attempt to interpret complex topics through biographies. The analysis concludes that in the context of contemporary museological approaches, the voice of the curator remains essential, especially when mediating exhibits, for they cannot speak for themselves.

Assessment of Challenges of Teaching and Learning Computer Programming in Tanzanian Higher Education

2019 ◽  
pp. 33-50
Author(s):  
Baraka M. Kagombe ◽  
Michael P. J. Mahenge ◽  
Sotco Claudius Komba ◽  
Safari Timothy Mafu ◽  
Camilius Aloyce Sanga
Keyword(s):  
Higher Education ◽  
Experiential Learning ◽  
Learning Styles ◽  
Prior Knowledge ◽  
Research Method ◽  
Quantitative Research ◽  
Teaching And Learning ◽  
Computer Programming ◽  
Experiential Learning Theory ◽  
The University

This chapter emanates from a study which sought to investigate challenges of teaching and learning computer programming in higher education. The study was conducted at Sokoine University of Agriculture. The study had three specific objectives: first, to identify learners' prior knowledge on computer programming at the time of joining the university; second, to investigate learners' self-efficacy in computer programming course; the third objective was to evaluate the learning styles used by learners in the computer programming course. The study adopted a quantitative research method, grounded in experiential learning theory. The data was collected from respondents using questionnaires and the analysis of the data was done using statistical software. The findings indicate that inadequate computer laboratories, lack of competent staff in ICT-based instructional design, inadequate teaching and learning materials, and students' lack of prior knowledge on computer programming at the time of joining the university are the main challenges.

Teaching TCP/IP Network Fundamentals to Undergraduates Using Practical Exercises

2008 ◽  
pp. 205-215
Author(s):  
Nurul I. Sarkar
Keyword(s):  
Operating System ◽  
Learning Experience ◽  
Student Feedback ◽  
Computer Networking ◽  
Test Results ◽  
Hands On ◽  
Ip Network ◽  
The Subject ◽  
Lecture Format ◽  
Classroom Use

Motivating students to learn TCP/IP network fundamentals is often difficult because students find the subject rather technical when it is presented using a lecture format. To overcome this problem we have prepared some hands-on exercises (practicals) that give students a practical learning experience in TCP/IP networking. The practicals are designed around a multi-user, multi-tasking operating system and are suitable for classroom use in undergraduate TCP/IP networking courses. The effectiveness of these practicals has been evaluated both formally by students and informally in discussion within the teaching team. The implementation of the practicals was judged to be successful because of the positive student feedback and that students improved their test results. This chapter describes the practicals and their impact on student learning and comprehension, based on the author’s experiences in undergraduate computer networking courses.

A Survey on Sentiment Analysis Techniques for Twitter

2022 ◽  
pp. 57-90
Author(s):  
Surabhi Verma ◽  
Ankit Kumar Jain
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Text Analysis ◽  
Analysis Techniques ◽  
Goods And Services ◽  
Text Document ◽  
The Subject ◽  
Over Time

People regularly use social media to express their opinions about a wide variety of topics, goods, and services which make it rich in text mining and sentiment analysis. Sentiment analysis is a form of text analysis determining polarity (positive, negative, or neutral) in text, document, paragraph, or clause. This chapter offers an overview of the subject by examining the proposed algorithms for sentiment analysis on Twitter and briefly explaining them. In addition, the authors also address fields related to monitoring sentiments over time, regional view of views, neutral tweet analysis, sarcasm detection, and various other tasks in this area that have drawn the researchers ' attention to this subject nearby. Within this chapter, all the services used are briefly summarized. The key contribution of this survey is the taxonomy based on the methods suggested and the debate on the theme's recent research developments and related fields.

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