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Analyzing completion rates in the First French xMOOC<br />

Matthieu Cisel<br />

ous expectations and constraints of MOOC participants.<br />

Those who had little time to spend on the course could<br />

follow the basic certificate, and those who wanted to learn<br />

more could follow the advanced certificate. The course<br />

provided quizzes, weekly assignments and a final examination.<br />

To obtain the basic certificate, it was required to<br />

complete the quizzes and the exam with a minimum of<br />

280 points out of 400. The deadline for these quizzes was<br />

set to the last day of the course. These quizzes were mostly<br />

based on content recall although a few calculus applications<br />

were also included.<br />

In order to obtain the advanced certificate, participants<br />

were required to pass the basic one and submit at least<br />

three assignments out of four. They also had to reach a<br />

minimal score of 560 points out of 800. Out of these 800<br />

points, 200 could be gained through quizzes, 200 through<br />

the exam, and 400 through assignments. Each assignment<br />

could bring a maximum of 100 points. Those assignments<br />

were based on a case study and assessed through peer<br />

evaluation. Learners could take part in the evaluation process<br />

only if they had submitted the corresponding assignment.<br />

There was no time limit for peer assessment and<br />

learners did not gain any points by taking part in the process.<br />

Final marks were attributed by a team of teaching<br />

assistants based on the marks and comments previously<br />

left by assessors. Some new discussion threads were initiated<br />

every week, by the MOOC staff only, and monitored<br />

closely during the duration of the course.<br />

In addition to a wiki, many resources provided information<br />

on the course and on associated tools, such as<br />

tutorials and FAQs. The type of certificate obtained will<br />

hereafter be referred to as “achievement”. Similarly, the<br />

type of certificate initially aimed at by learners in the initial<br />

survey will be referred to as “personal aim”. Based on<br />

achievements and personal aim, we designed an ‘achievement<br />

gap’ score. We qualify the score as negative when<br />

the achievement lies below the personal aim, and positive<br />

in the opposite case. It is considered as null when it corresponds<br />

to the personal aim. Furthermore, if the participant<br />

does not obtain a certificate and did not aim at it, the<br />

score is null as well.<br />

Out of the 3495 participants who registered, 1332<br />

(38.1 %) obtained a certificate. Among those who obtained<br />

a certificate, 894 (67.1 %) got the basic certificate<br />

only, and 438 (32.9 %) the advanced certificate. Among<br />

registered participants, 466 (13.4 %) did not go beyond<br />

the registration process. They will be referred to as “noshow”.<br />

1697 (48.5%) were active, but did not obtain any<br />

certificate. They will be referred to as Non completers, they<br />

include both dropouts and auditing learners.<br />

Student activity reports, gradebooks and survey responses<br />

used for this study were downloaded from the platform.<br />

Activity reports provide data on resources or discussion<br />

threads visited by the participants; timestamps or<br />

time spent on each resource were not available for every<br />

log. Therefore it was not possible to carry out any analysis<br />

based on time. Regarding the peer evaluation process,<br />

marks given by assessors and associated comments were<br />

extracted for all assignments. Participants were asked to<br />

fill in a survey at the beginning of the course. Out of the<br />

3029 registered participants who went beyond the registration<br />

process, 74.3 % filled in this survey, on which<br />

subsequent analysis on demographics are based. 100%<br />

of those who obtained the advanced certificate, 98.5%<br />

of those who obtained the basic certificate, and 63.0%<br />

of Non completers filled in the survey. IP addresses were<br />

not collected, therefore all available data on geographical<br />

origin comes from surveys. Regarding the use of videos,<br />

some analytics were provided by YouTube but they could<br />

not be associated to analytics from Canvas. Anonymised<br />

data was analyzed with the open source statistical software<br />

R 2.12 (Team, 2012). In the subsequent analysis,<br />

chi-square test was used in order to identify statistically<br />

significant associations between survey data and levels of<br />

completion.<br />

Results<br />

Course Demographics<br />

In terms of course demographics, 68 % of learners were<br />

male, and the average age as a whole was 34.7 (± standard<br />

deviation = 10.0) years. Among participants, 14.3 % were<br />

students, 13.4 % had lower supervisory and technical occupations,<br />

13.7 % were job seekers and 52.2 % had higher<br />

managerial and professional occupations. Most participants<br />

lived in France (60.6 %). Still, some learners came<br />

from many other countries, mostly from African countries<br />

where French is an official language, such as Burkina Faso<br />

(6.2 %), Senegal (5.2 %), Morocco (4.7 %), or Ivory Coast<br />

(3 %). For the purpose of this analysis, these countries<br />

were classified based on their Human Development Index<br />

(HDI), on the basis of information provided by the United<br />

Nations Development Program (UNDP, 2012). HDI<br />

ranged from low to very high, with medium and high as<br />

intermediate values. Among learners who completed the<br />

survey, 66.7 % came from countries with a very high HDI,<br />

3.7 % from countries with a high HDI, 5.4 % from countries<br />

with a medium HDI and 24.2 % from countries with<br />

a low HDI. Among participants from countries with a low<br />

HDI, 10.3 % were students, 19.1 % had lower supervisory<br />

and technical occupations, 16.9 % were job seekers, and<br />

44.6 % had higher managerial and professional occupations.<br />

Available data<br />

Objectives, achievements and<br />

constraints<br />

Research Track | 27

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