May 12, 2022

Associate Professor/Assistant Professorship in Instructional Design/Learning Analytics and Data Visualization at NATIONAL INSTITUTE OF EDUCATION

Associate Professor/Assistant Professor in Instructional Design/Learning Analytics and Data Visualization

(Academic Group of Learning and Assessment Sciences)

Overview

The National Institute of Education (NIE) is one of the best educational institutes in the world, recognized for its excellence in teacher training and educational research. The NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-based, practice-oriented and values-based programs and initiatives.

An autonomous institute located within the research-intensive Nanyang Technological University, NIE is consistently ranked among the top 15 in the world for research impact in education.

the Academic Group for Learning and Assessment Sciences (LSA) invites applications with an earned PhD and research portfolio in Instructional Design/Learning Analytics and Data Visualization, for a tenure-track Assistant/Associate Professor position. This is an excellent opportunity for outstanding scholars to engage with a dynamic department to advance our education and research goals.

LSA is an interdisciplinary academic group that focuses on understanding learning and assessment from multiple perspectives with the ultimate goal of improving and ensuring educational outcomes for all learners. Our mission is to enable educational practitioners to become designers of learning experiences and environments and active contributors in a reflective community of practice. The academic group is interested in the relationship between theory and practice and adopts a variety of methodologies, including but not limited to experimental studies, reflection in action, action research, design experiments and ethnography for the advancement of his research and teaching. We tackle the tensions and nexus between learning, assessment and instructional design, treating the design process as both a science and an art. Currently, we offer courses for initial teacher education, as well as graduate programs such as the Master of Arts (Instructional Design and Technologies), Master of Education (Learning Sciences and Technologies), Master of Arts in Professional Education (Training and Development), Master of Teaching, Master of Science in Science of Learning and Design, Doctor of Education (Technologies and Technology-Mediated Learning Environments) and Doctor of Philosophy (Education).

The candidate would play an active role in all or part of these programs. Candidates who are willing to support and work with colleagues on learning and assessment issues in common or new areas of expertise are valued. Working across disciplinary interests is encouraged.

Requirements

Successful candidates must have:

For assistant professor

  • A PhD or equivalent qualifications or will acquire the qualifications at the time of application in the field of instructional design/learning analytics and data visualization
  • Acute and up-to-date awareness of technological/social/global effects on instructional design/learning analytics and data visualization
  • Indicators of ability to obtain and manage competitive grants
  • An emerging record of related scientific research, presentations and publications in the field of instructional design/learning analytics and data visualization
  • Evidence of excellence in teaching and understanding of school practice
  • A growing international network of university collaborators
  • Excellent communication skills (oral and written English)
  • Willingness to understand and support the work of colleagues beyond their niche expertise

For the associate professor

  • A PhD in a field related to instructional design/learning analytics and data visualization
  • Excellent work history as assistant/associate professor in reputable universities.
  • Excellent knowledge and skills in instructional design/learning analytics and data visualization
  • An excellent record in obtaining and managing competitive grants
  • A proven track record of publications in reputable international peer-reviewed journals in the field of instructional design/learning analytics and data visualization
  • Evidence of excellence in teaching and understanding of school practice
  • Good international network of academic collaborators
  • Excellent communication skills (oral and written English)
  • Willingness to understand and support the work of colleagues beyond their niche expertise
  • Workplace experience in educational settings including schools is preferred

Responsibilities

Successful candidates will be expected:

  • Initiate and/or participate in research examining a wide range of issues related to instructional design/learning analytics and data visualization, both within and beyond the Singapore education system
  • To teach existing and new courses in initial teacher education, leadership, undergraduate and graduate programs
  • Work with a team of teachers to develop and teach courses, and pioneer changes in practice in schools
  • Supervise the initial training of teachers and/or graduate students
  • Publish research in reputable journals or other media, as is customary in their field
  • Build professional relationships with local and international researchers and practitioners in the specific area of ​​expertise
  • Share expertise with NIE colleagues through various platforms
  • Contribute to services at the departmental, institutional, university, national and international levels

Application

Please send us your application with the following documents via: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Associate-Professor-Assistant-Professor-in-Instructional-Design-Learning-analytics—Data-Visualization–LSA —NIE-_R00008118

  • A cover letter explaining how you meet the requirements of this position
  • A research statement
  • A pedagogical statement
  • Lesson plan or teaching plan for lessons you may be interested in teaching
  • A resume including a list of publications, the names of three references and your desired start date
  • Your best publications
  • Any other documents beyond those listed here or requested on the application form that demonstrate your qualifications and references

Closing Date

This position will remain open until filled.

other information

More information about LSA can be found at https://www.nie.edu.sg/our-people/academic- groups/learning-science-assessment

For all inquiries, interested applicants may write to A/P Chen Wenli, Head/LSA at email address: [email protected] or [email protected]

Notice to candidates

Please note that only shortlisted candidates will be notified (via email).