Table 1
Worldwide participants distribution
| Country | Number of Participants | Country | Number of Participants | Country | Number of Participants | Country | Number of Participants |
|---|---|---|---|---|---|---|---|
| United Arab Emirates | 2 | Greece | 8 | Malaysia | 2 | United Republic of Tanzania | 2 |
| Albania | 1 | Guam | 1 | Nigeria | 1 | Ukraine | 1 |
| Argentina | 1 | Hong Kong, SAR China | 1 | Nepal | 2 | United States of America | 597 |
| Australia | 20 | Honduras | 1 | Niue | 1 | British Virgin Islands | 3 |
| Brazil | 2 | Ireland | 9 | New Zealand | 68 | Vietnam | 1 |
| Canada | 9 | Israel | 1 | Philippines | 4 | South Africa | 2 |
| Switzerland | 2 | India | 6 | Pakistan | 2 | ||
| Costa Rica | 1 | Iraq | 1 | Poland | 1 | ||
| Germany | 5 | Islamic Republic of Iran | 2 | Puerto Rico | 2 | ||
| Dominican Republic | 1 | Italy | 4 | Palestinian Territory | 1 | ||
| Ecuador | 1 | Jordan | 2 | Portugal | 2 | ||
| Egypt | 1 | Japan | 1 | Russian Federation | 2 | ||
| Spain | 3 | Kenya | 4 | El Salvador | 1 | ||
| France | 2 | Malawi | 1 | Togo | 1 | ||
| United Kingdom | 26 | Mexico | 1 | Turkey | 1 |
Table 2
Participants’ job roles
| Participants’ job role | Job_role Code | Number of Participants |
|---|---|---|
| Classroom Teachers (K-12 and Special Education teachers) | Job_role0 | 410 |
| Teacher Developers (Curriculum Specialist, Professional Development Consultant, Teacher Education, and Instructional Coaches) | Job_role1 | 109 |
| College Instructors (Math/Stat College Professor, College Professor – Other) | Job_role2 | 115 |
| College Student Graduates | Job_role3 | 25 |
| College Student Undergraduates (Pre-Service teacher and College Student undergraduate) | Job_role4 | 50 |
| Other (Statistician, Educational Product/Service Provider, and Instructional Technology Facilitator) | Job_role5 | 108 |
| Total | 817 |
Table 3
P-values of predictors when considering participants’ probability of MOOC completion
| Variable Names | Pr(>|z|) | Variable Names | Pr(>|z|) |
|---|---|---|---|
| Gender | 0.12216 | Time | 0.02843* |
| Education_Level | 0.31793 | N_Posts_Made | 0.00000* |
| Experience | 0.82369 | N_Videos_Watched | 0.00000* |
| Job_role | 0.06284 | Required | 0.12667 |
Table 4
Binomial logistic regression presenting number of posts and job role as statistical predictors
| Coefficients | Estimate | z value | Pr(>|z|) |
|---|---|---|---|
| (Intercept) | -3.927728 | -12.276 | < 2e-16 *** |
| N_Videos_Watched | 0.004861 | 1.356 | 0.17513 |
| N_Posts_Made | 0.189349 | 7.304 | 2.78e-13 *** |
| Job_role1 | -0.670288 | -0.986 | 0.32426 |
| Job_role2 | -2.821467 | -2.74 | 0.00614 ** |
| Job_role3 | -0.228465 | -0.209 | 0.83426 |
| Job_role4 | -1.271097 | -1.087 | 0.27709 |
| Job_role5 | -1.710893 | -1.542 | 0.12309 |
| Note: *p<0.1; **p<0.05; ***p<0.01 | |||
| Observations | 817 | ||
| Null deviance | 319.35 on 816 degrees of freedom | ||
| Residual deviance | 192.34 on 809 degrees of freedom | ||
| AIC | 208.34 | ||
Table 5
Odds ratio of binomial logistic regression presenting number of posts and job role as statistical predictors
| Coefficients | Odds Ratio | Confidence Interval (2.5%, 97.5%) | |
|---|---|---|---|
| (Intercept) | 0.01968836 | 0.009962121 | 0.03518547 |
| N_Videos_Watched | 1.00487245 | 0.997375092 | 1.01255731 |
| N_Posts_Made | 1.20846231 | 1.151473076 | 1.27536903 |
| Job_role1 | 0.51156108 | 0.109288684 | 1.69846737 |
| Job_role2 | 0.05951859 | 0.006349 | 0.3659545 |
| Job_role3 | 0.79575411 | 0.071273072 | 5.07149363 |
| Job_role4 | 0.28052383 | 0.013165365 | 1.81656577 |
| Job_role5 | 0.18070432 | 0.011790529 | 1.07766947 |
Table 6
Binomial logistic regression presenting interaction term
| Coefficients | Estimate | z value | Pr(>|z|) |
|---|---|---|---|
| (Intercept) | -4.2370 | -10.496 | < 2e-16 *** |
| N_Videos_Watched | 0.0035 | 0.929 | 0.3531 |
| N_Posts_Made | 0.2299 | 6.482 | 9.04e-11 *** |
| Job_role1 | -2.4870 | -1.143 | 0.253 |
| Job_role2 | 0.0544 | 0.063 | 0.9495 |
| Job_role3 | 0.8799 | 0.746 | 0.4554 |
| Job_role4 | -32.4400 | -0.016 | 0.9875 |
| Job_role5 | -1.8560 | -0.994 | 0.3204 |
| N_Posts_Made: Job_role1 | 0.1682 | 1.012 | 0.3116 |
| N_Posts_Made: Job_role2 | -0.1580 | -3.195 | 0.0014 ** |
| N_Posts_Made: Job_role3 | -0.1078 | -1.255 | 0.2094 |
| N_Posts_Made: Job_role4 | 1.9410 | 0.014 | 0.9887 |
| N_Posts_Made: Job_role5 | -0.0058 | -0.058 | 0.954 |
| Note: *p<0.1; **p<0.05; ***p<0.01 | |||
| Observations | 817 | ||
| Null deviance | 319.35 on 816 degrees of freedom | ||
| Residual deviance | 175.59 on 804 degrees of freedom | ||
| AIC | 201.59 | ||
Table 7
AIC comparison among models
| Model | AIC |
|---|---|
| Model_A1<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made | 212.38 |
| Model_A2<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made+ Job_role+ Time+Required, | 212.27 |
| Model_A3<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made+ Job_role+Required+Time+Education_Level, | 219.22 |
| Model_A4<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made+ Job_role+Time+Education_Level, | 217.86 |
| Model_A5<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made+ Job_role+Required+Time, | 212.27 |
| Model_A6<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made+ Job_role+Time, | 211.83 |
| Model1<- MOOC_Completion~ N_Videos_Watched+ N_Posts_Made+ Job_role, | 208.34 |
| Model2<- MOOC_Completion~ N_Videos_Watched+N_Posts_Made+Job_role+ N_Posts_Made*Job_role, | 201.59 |