LA@ICCE2022

The increasing amount of data generated in digital learning contexts provides opportunities to benefit from learning analytics as well as challenges related to interoperability, privacy, and pedagogical and organizational models. As a consequence, new methodologies and technological tools are necessary to analyze and make sense of these data and provide personalized scaffolding and services to stakeholders including students, faculty/teachers and administrators, as well as parents. Pedagogical and organizational models must also be incorporated in order to take advantage of the personalized scaffolding and services to ensure productive learning and teaching. In addition, access to data from different sources raises a number of concerns related to data sharing and interoperability, and protection of privacy for individuals and business interests for institutions. The objective of the proposed workshop is to gather researchers as well as stakeholders, including educational technologists, researchers, and practitioners who are involved in the analysis and deployment process and to discuss the challenges and approaches for scaling up evidence- based institutional LA practices and integrating LA into STEAM education. 

Analyzing evidence on the effectiveness of learning analytics can be carried out at a number of different levels within educational institutions. To conceptualize a framework of analyzing evidence of improvement in the teaching-learning practices through learning analytics, we look at three different levels as illustrated from an institutional perspective. 

• The Micro level looks at the impact on the individual students when LA systems or techniques are implemented in a single class or a single course. 

• The Meso level focuses on institutional implementations. In such cases, practice is adopted and evaluated by more than one faculty member. 

• The Macro level goes beyond one institution and involves policies or practices mandated by the state or national level regulatory body. Hence it looks at practices which are followed at multiple institutions. 

The three levels of implementation and adoption (macro-meso-micro) of learning analytics each present unique problem, and therefore the evidence to be examined may be very different. This impacts the generalization of evidence, with many issues that need to be overcome as analysis is scaled up to include multiple institutions across different facets of education, such as: K-12, Higher Education, and corporate education in enterprises. 

Participants are encouraged to share their research as a paper on either analyzing evidence on effective LA, or relating their contribution from the perspective of the three levels of implementation and adoption of LA. We also call for papers that cover technical, theoretical, pedagogical, as well as organizational issues in learning analytics. We also welcome submissions on some of the topics concerning LA from the following (though not restrictive) list:

• • Making sense of Learning Analytics

  • Software systems and tools

  • Implementation and organizational development

  • Pedagogical models and learning analytics

  • Gathering diverse learning data across platforms

  • Algorithms for analytics based on gathered data

  • Predictive models, visualization and statistical analysis

  • Privacy concerns and policy aspects related to Learning Analytics

  • Data sharing for learning analytics

  • Evaluation and Assessment

  • Standardization and Interoperability 

  • Challenges and approaches for scaling up LA in education practices

  • Learning Analytics in Humanities and Design education

  • Accessible Learning Analytics

  • Learning Analytics to understand and support emergency remote teaching

Schedule

• online schedule TBA.

Important Dates

• Final paper submission: August 22, 2022 September 2, 2022

• Notification of acceptance: September 2, 2022 September 9, 2022 September 12, 2022

• Camera-Ready deadline: September 16, 2022 September 20, 2022

• Author Registration deadline: September 30, 2022

Submissions

All submissions to the workshop must follow the format of the Proceedings Template 

https://icce2022.apsce.net/wp-content/uploads/2022/02/ICCE2022-PaperTemplate.doc

Submission Categories

• Full paper: 8-10 pages

• Short paper: 5-6 pages 

• Discussion paper: 2-3 pages

Submit papers using EasyChair: https://easychair.org/conferences/?conf=laicce2022

Publication

All accepted papers will be published in one volume of workshop proceedings, which will be submitted to Elsevier for inclusion in SCOPUS. Also, published workshop papers will be made available on the official ICCE 2022 website.