3rd International Workshop on Technologies Assist Teaching and Administration (TATA 2019)

Jointly held in 5th International Conference on Smart Learning Environments, University of North Texas, Denton, TX, USA, March 18 to 20, 2019

Workshop Organizer:
Maiga Chang, Athabasca University, Canada

TATA stands for Technologies Assist Teaching and Administration and it aims to introduce technologies that assist parents, teachers and schools (instead of students) and has significant time for giving participants to get their hands on trying the technologies, discussing with researchers and giving researchers their feedback.

The workshop will have accepted workshop papers’ researchers to share and demo their technologies and have three sessions. In the first session, researchers of each accepted workshop paper will introduce the technologies from practical point of views (instead of talking theories, maths, and detailed methods) for 10 to 15 minutes. Then, the workshop gives participants 20 to 25 minutes to really try on the proposed systems and tools. At the end, researchers can further interact with participants in the 10 to 15 minutes discussion section so the participants can share their perceptions, comments, suggestions, and even intention of using the proposed systems and tools with researchers.

All accepted workshop papers need to have their technologies (e.g., systems and tools) ready and open for participants trying in the workshop.

The workshop will be a platform that provides the following benefits for both researchers who present their systems/tools at the workshop and participants who attend the workshop:

  1. researchers can take this workshop as an Open House event to announce and introduce their latest research outcome for the public;
  2. participants can clear understand the proposed systems/tools easier since the presentations have no complicated maths/equations and unfamiliar theoretical methods/models;
  3. researchers have time to live demonstrate their systems/tools;
  4. participants can put their hands on the introduced systems/tools instead of just listening speeches and see the proposed technologies behind glasses;
  5. participants can get immediately and direct helps from researchers when they have questions and encounter difficulties while using the introduced systems/tools;
  6. researchers can get users’ perceptions, comments, suggestions, and feedback during the workshop;
  7. researchers can further analyze the collected feedback to either make their works better and write follow-up papers for the results;
  8. researchers can reach potential collaborators who want to use their systems/tools as well as conduct pilots with the researchers together in the near future.

Accepted papers for 3rd TATA Workshop (TATA 2019):

  • Emarking: A collaborative platform to support feedback in higher education assessment

Jorge Villalon

  • Conversation Quest in MEGA World (Multiplayer Educational Game for All)

Maiga Chang, Cheng-Ting Chen, Kuan-Hsing Wu, Pei-Shan Yu

Accepted papers for 2nd TATA Workshop (TATA 2018):

  • An educational role-playing game for modeling the learner’s personality

Mouna Denden, Ahmed Tlili, Fathi Essalmi, Mohamed Jemni

  • Big Data Analytics and Smart Service Tool:”Smart Learning Partner” Platform

Xiaoqing Li, Linghong Du, Xuanwei Ma

  • Annotation Recommendation for Online Reading Activities

Miao-Han Chang, Maiga Chang, Rita Kuo, Fathi Essalmi, Vivekanandan S. Kumar, Hsu-Yang Kung

Accepted papers for 1st TATA Workshop (TATA 2016):

  • Online Test System to Reduce Teachers’ Workload for Item and Test Preparation

Ebenezer Aggrey, Rita Kuo, Maiga Chang, and Kinshuk

  • Breadth and Depth of Learning Analytics

David Boulanger, Jeremie Seanosky, Rebecca Guillot, Vivekanandan Suresh Kumar, and Kinshuk

  • The Academic Analytics Tool: Workflow and Use Cases

Tamra Ross, Ting-Wen Chang, Cindy Ives, Nancy Parker, Andrew Han and Sabine Graf

  • Educational Resource Information Communication API (ERIC API): The Case of Moodle and Online Tests System Integration

Cheng-Li Chen, Maiga Chang, and Hung-Yi Chang