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Self-Regulated Learning in MOOCs: Do Open Badges and<br />

Certificates of Attendance Motivate Learners to Invest More<br />

Simone Haug, Katrin Wodzicki, Ulrike Cress and Johannes Moskaliuk<br />

active and self-centered investment as dependent variables.<br />

Results Research Question 1: How does participation<br />

develop over time<br />

With used the logfiles to measure the number of visitors<br />

to the blog per unit. Figure 1 visualizes that the number of<br />

blog visitors continuously decreases over time (except for<br />

unit 4) and the number of blog visitors per unit.<br />

Figure 1: Number of blog visitors<br />

decreases over time<br />

The descriptive results of the questionnaire also support<br />

this result: Self-centered and interactive forms of investment<br />

decrease over time. Table 1 shows the results for<br />

self-centered forms of investment and Table 2 the results<br />

for interactive forms of investment.<br />

Table 1: Self-centered investment during OPCO12<br />

This data shows that both forms of learners’ investment<br />

continuously decreased over the six units. The only exception<br />

was ‘Reading the newsletter,’ although that may<br />

be because newsletters were sent directly to participants’<br />

mailboxes and could thus be described as a ‘push-medium.’<br />

The other forms of investment could be described as<br />

‘pull-mediums,’ where participants had to actively visit the<br />

course website, other platforms or web resources.<br />

Results Research Question 2: Do external motivators<br />

support participation<br />

In the first questionnaire, 62.35% of the responding participants<br />

reported that they aimed to achieve an open<br />

badge or some other form of certificate. 29.41% reported<br />

participation without such an aim. In the second questionnaire,<br />

49.66% of the responding participants reported<br />

that they started with the aim of achieving an open badge<br />

or some other form of certificate, whereas 45.58% started<br />

without such an aim. In order to test if both groups of<br />

participants differ we conducted 4 mixed 3x2 ANOVAs<br />

per unit as repeated-measures factor and ‘certificate or<br />

not’ as a between-groups factor.<br />

The first ANOVA was based on the data from the first<br />

questionnaire and thus assessed the interactive forms of<br />

investment for the first three units. The second ANOVA<br />

was also based on these data and assessed the self-centered<br />

forms of investment. Two analog ANOVA were calculated<br />

for the data from the second questionnaire, which<br />

assessed the investment of participants for units 4-6.<br />

Because the questionnaires were anonymous we do not<br />

have any information about how many of the participants<br />

took part in both questionnaires.<br />

FORMS OF INVESTMENT<br />

Reading<br />

material<br />

Listening<br />

online events<br />

Reading<br />

blogs<br />

Reading the<br />

newsletter<br />

UNIT M SD M SD M SD M SD<br />

1 .71 .458 .65 .481 .61 .490 .75 .434<br />

2 .68 .468 .66 .477 .55 .500 .74 .441<br />

3 .60 .493 .60 .493 .53 .502 .72 .453<br />

4 .67 .473 .47 .501 .50 .502 .78 .419<br />

5 .58 .496 .37 .484 .47 .501 .76 .427<br />

6 .54 .500 .35 .480 .47 .501 .76 .427<br />

Table 2: Interactive investment during OPCO12<br />

FORMS OF INVESTMENT<br />

Chatting<br />

Tweeting<br />

Blogging<br />

Blog<br />

commenting<br />

UNIT M SD M SD M SD M SD<br />

1 .25 .434 .26 .441 .25 .434 .15 .362<br />

. 2 .18 .383 .26 .441 .28 .453 .15 .362<br />

3 .16 .373 .18 .383 .22 .419 .07 .258<br />

4 .14 .344 .12 .329 .15 .358 .05 .228<br />

5 .10 .295 .07 .264 .11 .313 .03 .182<br />

6 .07 .253 .10 .304 .08 .275 .03 .182<br />

Research Track | 70

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