Announcements

January 10, 2020

Call for papers for a Special Issue on “Precision Education - A New Challenge for AI in Education”


Guest editors:

Stephen J.H. Yang

National Central University, Taiwan

Stephen.Yang.Ac@gmail.com

Hiroaki Ogata

Kyoto University, Japan

hiroaki.ogata@gmail.com

Objective:

Precision education (Yang, 2019) is a new challenge of applying artificial intelligence, machine learning, and learning analytics for improving teaching quality and learning performance. The goal of precision education is to identify at-risk students as early as possible and provide timely intervention based on teaching and learning experiences (Lu et al., 2018). The precision education was inspired by the precision medicine initiative proposed by the former USA President Obama in his 2015 State of the Union address. The emergence of precision medicine is to revolutionize the one-size-fits-all treatment of disease by taking into account individual differences in people’s genes, environments, and lifestyles, as well as by improving the diagnosis, prediction, treatment, and prevention of disease.

Similar to medicine, the current education system is designed not fully considering students’ IQ, learning styles, learning environments, and learning strategies. Inspired by precision medicine, precision education is an innovative approach to emphasize the improvement of diagnosis, prediction, treatment, and prevention of at-risk students, such as diagnosis of students’ engagement, learning patterns and behavior; prediction of students’ learning performance; treatment and prevention with teachers’ timely intervention and well-designed pedagogy, learning strategy, and learning activities. In this special issue, at-risk students are confined to students who were diagnosed could get low academic performance, drop/withdraw a course, or students who were low engaged in terms of learning behaviour, emotion, and cognition.

The purpose of this special issue is to invite researchers who are engaged in precision education, artificial intelligence, machine learning, and learning analytics to share and exchange research experiences in various applications, methods, pedagogical models and environments. Topics of interests for this special issue include, but are not limited to the following:

1. The impact of precision education to emerging pedagogical environments such as MOOCs, eBook, coding, AR/VR, robotics, games, et al.

2. Ethical and other concerns relating to precision education

3. Diagnosis of students’ engagement, learning patterns and behavior

4. Prediction of students’ learning performance and the improvement of predictive models

5. Treatment and prevention with teachers’ timely intervention

6. The design of pedagogical models and tools for precision education

7. The design of learning strategy and learning activity for precision education

8. The design of evaluation and assessment methods for precision education

9. Exploring the critical factors affecting students’ learning performance based on precision education

10. Exploring the influence of teachers’ intervention on students’ learning performance based on precision education

11. Data analytics for precision education, such as text analytics, audio analytics, image analytics, video analytics

12. Data visualization for precision education, such as dashboard, simulation

Important dates:

Submission due: September 1, 2020

Review notification: October 15, 2020

Revision due: November 15, 2020

Acceptance notification: December 15, 2020

Publication issue: Volume 24, Issue 1, 2021

Paper submission:

  • Submissions to this special issue should email your manuscript to the corresponding guest editor – Prof. Stephen J.H. Yang, via email: Stephen.Yang.Ac@gmail.com
  • Submissions must comply with requirements stated in the ET&S Author Guidelines (https://www.j-ets.net/author_guide)
  • Please submit a Microsoft Word file of your manuscript and name your file with the full name of the corresponding author, followed by the title of this special issue. (e.g., Stephen Yang_Precision education)
  • Please make sure that you use the ET&S template along with the add-ins tool here for preparing your manuscript.
  • Please remove the names and affiliations portion for the review process and only add them back into the manuscript after your manuscript is accepted for publication.
  • Please provide a Microsoft Word file of the following details along with each submission in a separate file titled “Title Page_Name of the corresponding author.” (e.g., Title Page_Stephen Yang)

1. Name(s) and title(s) of the Author(s)

2. Name of the corresponding author

3. Job title(s)

4. Organization(s)

5. Full contact details of ALL authors including email address and postal address


References:

Yang, S.J.H. (2019) Precision Education: New Challenges for AI in Education. The 27th International Conference on Computers in Education (ICCE 2019), Keynote speech, https://youtu.be/VKmUE1Hnaro

Lu, O., Huang, A., Huang, J., Lin, A., Ogata, H. & Yang, S.J.H. (2018) Applying learning analytics for the early prediction of students' academic performance in blended learning, Journal of Educational Technology & Society, 21(2), 220-232.

November 26, 2019

General Call for Special-Issue Proposals

Educational Technology & Society (ET&S) welcomes special issue proposals on specific themes or topics that address the usage of technology for pedagogical purposes, particularly those reflecting current research trends through in-depth research.


For more information, please visit the Special Issue Proposals page.


The ET&S Editorial Office

November 11, 2019

Why re-open the operation of ET&S journal?

After the suspension of ET&S journal, the editorial office continues to receive different types of requests, things like people reporting plagiarism issues, people asking for certificates of contributions, publishers/libraries requesting permissions for archiving certain articles or reproducing a specific diagram, potential authors keep sending manuscripts for reviews and various types of queries about the journal matters, etc.

It is not easy to really end a journal which has 22 years of history, at least not from the surface level. This triggers the editorial office to reconsider resuming the operation of ET&S journal and to establish a more sustainable operation model. A stable funding source and enough manpower are the two essential conditions to keep ET&S a fully open access journal. Furthermore, having a well-formed operational guideline is crucial to make the editorial office systematically running and to achieve its sustainability.

The ET&S journal has established a solid and stable editorial office with the support of National Yunlin University of Science and Technology. The new Editors-in-Chief have been appointed aiming to promote innovative educational technology research based on empirical inquires to echo the pedagogical essentials of learning in the real world—lifelong learning, competency-orientation, and multimodal literacy in the 21st century.


The ET&S Editorial Office