Singapore Job Openings
Nanyang Technological University
Senior Learning Data Specialist / Learning Data Specialist (Centre for Innovation in Learning) [NIE]
FULL TIME
September 6, 2024
- Collaborate with the Learning Innovations Manager and Learning Data Specialists to examine department and project-level datasets using data analysis tools and teacher- and student-facing dashboards to optimise learning experiences and the learning spaces at NIE.
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Collaborate across teams to:
- Develop data-driven insights and strategies for faculty engagement, academic development, and the improvement of teaching & learning, while leveraging emerging technologies and learning analytics dashboards to foster innovation.
- Assess the needs of faculty regarding the design, development, and evaluation of learner-centred, blended courses and course requirements, utilising learning analytics to inform decisions.
- Identify strategies and tools to design, develop, and facilitate face-to-face and online tech-enhanced workshops (e.g., blended learning), emphasising data-driven professional development to support faculty in leveraging learning analytics for effective teaching practices.
- Stay current with the best practices and innovations in teaching and learning in higher/teacher education, including personalised learning, adaptive learning, e-assessment, and hybrid learning approaches, integrating analytics dashboards to enhance faculty and student engagement.
- Collaborate on initiatives with IN-Learning's Engagement, Planning, and Research team to share data insights and institute-wide knowledge, promoting a culture of data-informed teaching.
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Conduct action research by:
- Conceptualising frameworks and methodologies integrating learning analytics to enhance faculty and student performance.
- Designing evaluation instruments that leverage dashboards for real-time feedback on teaching practices and student progress.
- Gathering and analysing data from learning analytics tools, using teacher- and student-facing analytics to inform continuous improvement.
- Formulating decisions and strategies that enhance the effectiveness of learning experiences and contribute to Faculty Development initiatives.
- Participate in special projects focused on advancing teaching and learning, particularly through integrating learning analytics and emerging educational technologies to improve student outcomes and optimise teaching practices.
- A University Degree in Education, Learning Sciences, Business/Data Analytics, Applied Statistics, Educational Technology, or a related field.
- At least 2 years experience in learning analytics, instructional design, data-driven teaching, and development experience, particularly in using learning analytics dashboards.
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To be considered for the Senior Learning Data Specialist position, candidates should:
- Possess at least 5 years of experience in instructional design, teaching, learning, and/or the higher education landscape, with a proven ability to integrate data analytics into teaching practices.
- Possess a proven track record of managing complex, data-driven learning projects.
- Demonstrate experience in a mentorship role and in leading data-focused teaching and learning initiatives.
- Possess strong analytical skills, including interpreting teacher-facing and student-facing learning analytics to support data-driven decision-making in teaching and learning environments.
- Be well-versed with ICT tools for education, including learning analytics systems and dashboards.
- Experience working with Learning Management Systems (LMS), particularly in integrating learning analytics for both faculty and students.
- Teaching experience will be advantageous, particularly if it involves data-informed instructional practices.
- Ability to work independently and in diverse teams, particularly in cross-functional educational technology teams.
- Ability to learn new tools and processes quickly with little guidance or support documentation, especially in the context of emerging learning analytics tools.
- Possess creative thinking and problem-solving skills to develop innovative solutions optimising teaching and learning.
- Excellent communication and interpersonal skills, with the ability to translate complex data into clear, actionable insights for diverse stakeholders, including faculty and leadership.
- Exceptionally meticulous in work details, particularly in handling and interpreting learning data for teaching improvement.
- Experience using data visualisation tools (e.g., Tableau, Power BI) will be an advantage, particularly for creating interactive dashboards to inform teaching and learning decisions.
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