Current call: Learning Tech 14

Call for papers: Learning Tech 14 – AI and didactics in education

Dear colleagues,

We invite you to contribute to our upcoming edition of the Danish scientific journal for learning and technology, Learning Tech. The subject of this call is the importance of AI for the didactics of the future.

AI technology has made great strides in recent years and has the potential to revolutionize the way we teach and learn. The use of AI in education can improve the personalization of learning, increase student motivation and engagement, and help teachers effectively evaluate student progress.

We are looking for articles that examine the use of AI in education, including topics such as adaptive learning, intelligent tutors, chatbots and game-based learning. We are also interested in articles that examine the ethical and didactic challenges that arise in connection with the use of AI in education.

More specifically, we want to focus on the following themes:

  • AI-assisted learning
  • Adaptive teaching, including personalisation, individualisation and differentiation
  • Automatic evaluation
  • AI aspects and adaptivity in gamification/game-based learning in relation to didactics
  • Integration of AI into existing teaching methods as well as available and future teaching aids
  • Use of AI in learning and teaching in different subjects and levels (e.g. primary school, upper secondary school, university)
  • The student’s/students’ learning design and the teacher’s/instructor’s didactic design
  • Ethical and legal aspects of AI in education
  • Comparisons between AI-based learning and traditional learning
  • Case studies and experiences with the implementation of AI in educational contexts
  • The limits and interaction between modalities in the learner’s productive and receptive activities
  • Thinking technologies and intelligent tutors – the cognitive aspects of technologies
  • Technology understanding perspectives on the use of AI
  • Equality and inclusion in the light of new technologies
  • Future perspectives and research needs in the field

We accept articles in English, Danish and other Nordic languages.

We look forward to receiving contributions from researchers, teachers and practitioners from around the world.

The deadline for submitting articles is April 11, 2023.

Sincerely, The editorial board of the scientific journal for learning and technology, Learning Tech.

The above introduction and the majority of bullets are constructed by the AI-based bot, Chatgpt3. The editors have easily supplemented Chatgpt3’s output.

Deadlines and practical information:

Contributions in both Danish, Norwegian, Swedish and English are welcome. We receive research articles that present new national or international research based on empirical studies or theoretical analyses.

Abstracts must be submitted no later than 20 February 2023 to this email address:
LearningTech@ucl.dk


Article is uploaded by 11 April 2023 at the latest
in OJS på tidsskrift.dk. Here you have to register (if you haven’t already) and then upload the article.

Double-blind peer review is carried out in April-May 2023. Corrections can be made with the deadline for finished manuscript 1 June 2023.

Learning Tech 14 is scheduled for release in mid-2023.

Theme editorial:

  • Susanne Dau, docent, ph.d., UC Nord
  • Rasmus Leth Jørnø, lektor, ph.d., Professionshøjskolen Absalon
  • Stig Toke Gissel, docent, leder af Læremiddel.dk, UCL Erhvervsakademi og Professionshøjskole

Here you will find the guidelines and templates of the journal.