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Online Group Community Engagement

Learning Languages and Skills, Challenges, and Participation

@kaggle.thedevastator_online_group_community_engagement

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About this Dataset

Online Group Community Engagement

Online Group Community Engagement

Learning Languages and Skills, Challenges, and Participation

By [source]

About this dataset

This dataset is invaluable in understanding how individuals engage in group environments and what learning outcomes come from it. It contains multi-dimensional data that includes indicators of a person's desire to learn, expertise, participation and engagement - all of which can be used to measure the impact of learning. With this data, we can understand how people are engaging within groups and their overall accomplishments from their interactions. The insights provided here can be used to better inform online group activities for better results

More Datasets

For more datasets, click here.

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How to use the dataset

  • Start by identifying the goal of your analysis. What specific questions are you looking to answer with this dataset, and what kind of insights or patterns can you expect to find?
  • Filter out the data that is necessary for your research and understand the different columns in the dataset. This will help narrow down on specific points of analysis which can be seen from visualizing different metrics such as desire to learn, expertise, participation and engagement.
  • Visualize different set of data using various tools such as graphs or tables so as to get an overall idea about how different metrics interact with each other in order to produce a learning outcome.

Research Ideas

  • Assessing the effectiveness of online education platforms and courses. By analyzing individual participation, engagement and learning outcomes, educators can determine if their platform or specific course is engaging students successfully and helping them learn.
  • Developing personalized learning plans for each student or group of students to ensure they are getting the most value out of their educational experiences. Analyzing data from this dataset can provide insight into which specific activities a student should focus on in order to best facilitate their learning journey.
  • Understanding how different demographic groups interact within online group environments so that educators can develop targeted approaches towards those demographics, ensuring everyone receives an equitable educational experience regardless of gender, race, etc

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Cfa Nacov

@kaggle.thedevastator_online_group_community_engagement.cfa_nacov
  • 213.47 KB
  • 119 rows
  • 120 columns
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CREATE TABLE cfa_nacov (
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Cfa S

@kaggle.thedevastator_online_group_community_engagement.cfa_s
  • 13.41 KB
  • 15 rows
  • 16 columns
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CREATE TABLE cfa_s (
  "unnamed_0" VARCHAR,
  "num_want_learn_languages" DOUBLE,
  "num_want_learn_skills" DOUBLE,
  "num_knows_languages" DOUBLE,
  "num_has_skills" DOUBLE,
  "num_meetings_attended" DOUBLE,
  "has_chatroom_handle" DOUBLE,
  "num_challenges_solved" DOUBLE,
  "id1" DOUBLE,
  "id2" DOUBLE,
  "hc1" DOUBLE,
  "hc2" DOUBLE,
  "hc3" DOUBLE,
  "js1" DOUBLE,
  "js2" DOUBLE,
  "js4" DOUBLE
);

Factorscores

@kaggle.thedevastator_online_group_community_engagement.factorscores
  • 18.89 KB
  • 155 rows
  • 11 columns
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CREATE TABLE factorscores (
  "desire" DOUBLE,
  "expertise" DOUBLE,
  "participation" DOUBLE,
  "id" DOUBLE,
  "hc" DOUBLE,
  "js" DOUBLE,
  "engagement" DOUBLE,
  "tenure" BIGINT,
  "tenure_s" DOUBLE,
  "age" BIGINT,
  "ismale" BIGINT
);

Htmt Nacov

@kaggle.thedevastator_online_group_community_engagement.htmt_nacov
  • 213.47 KB
  • 119 rows
  • 120 columns
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CREATE TABLE htmt_nacov (
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);

Htmt S

@kaggle.thedevastator_online_group_community_engagement.htmt_s
  • 13.41 KB
  • 15 rows
  • 16 columns
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CREATE TABLE htmt_s (
  "unnamed_0" VARCHAR,
  "num_want_learn_languages" DOUBLE,
  "num_want_learn_skills" DOUBLE,
  "num_knows_languages" DOUBLE,
  "num_has_skills" DOUBLE,
  "num_challenges_solved" DOUBLE,
  "num_meetings_attended" DOUBLE,
  "has_chatroom_handle" DOUBLE,
  "id1" DOUBLE,
  "id2" DOUBLE,
  "hc1" DOUBLE,
  "hc2" DOUBLE,
  "hc3" DOUBLE,
  "js1" DOUBLE,
  "js2" DOUBLE,
  "js4" DOUBLE
);

Sem Nacov

@kaggle.thedevastator_online_group_community_engagement.sem_nacov
  • 250.24 KB
  • 135 rows
  • 136 columns
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CREATE TABLE sem_nacov (
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);

Sem S

@kaggle.thedevastator_online_group_community_engagement.sem_s
  • 14.06 KB
  • 16 rows
  • 17 columns
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CREATE TABLE sem_s (
  "unnamed_0" VARCHAR,
  "num_want_learn_languages" DOUBLE,
  "num_want_learn_skills" DOUBLE,
  "num_challenges_solved" DOUBLE,
  "num_meetings_attended" DOUBLE,
  "has_chatroom_handle" DOUBLE,
  "id1" DOUBLE,
  "id2" DOUBLE,
  "hc1" DOUBLE,
  "hc2" DOUBLE,
  "hc3" DOUBLE,
  "js1" DOUBLE,
  "js2" DOUBLE,
  "js4" DOUBLE,
  "age" DOUBLE,
  "ismale" DOUBLE,
  "tenure_s" DOUBLE
);

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