Level of relevance in the DETEL program

The topics of the DETEL program are divided in four categories. The structuring is based on how generic (relevant to all PhD candidates) or narrow (relevant to very few PhD candidates) each topic is.

  • 🎓 General PhD
  • 🎓 TEL Core
  • 🎓 TEL Introductions
  • 🎓 TEL ‘deep dive’

🎓 General PhD

Topics that are relevant to any PhD candidate regardless of the research field they are working in.

🎓 TEL Core

Topics about TEL overall that are relevant to all PhD candidates working in the field of TEL.

🎓 TEL Introductions

Topics that covers one sub-topic or method of TEL and that are relevant to some PhD candidates working in TEL.

TEL Topics

“TEL topics” are introductions to major subtopics of the TEL field, from which the majority of PhD candidates in TEL can select at least one that is relevant. Topics marked with a star were found to be most important and sought after by PhD candidates, based on results of the DETEL survey.

  • ⭐Learning analytics
  • ⭐Artificial Intelligence in education
  • ⭐Personalized and adaptive learning
  • ⭐Self-regulated / Informal Learning
  • ⭐Smart / Intelligent Learning Environments
  • ⭐Pedagogical Patterns
  • ⭐Gamification
  • ⭐Visualization / Visual Analytics
  • ⭐Mixed and Augmented Reality
  • ⭐Engagement / Emotion / Affect
  • Wearable Enhanced Learning
  • Open Educational Resources (OER) and Open Content
  • Microlearning
  • Immersive Technologies (Virtual Reality and Simulations)
  • Massive Online Open Courses (MOOCs)
  • Scalability / mainstreaming
  • Blockchain in education
  • Competence Development
  • Intelligent tutoring
  • Connecting Learning (Social media / web 2.0 / social software), Connectivism, Learning Networks, and Communities of Practice
  • Interoperability and standards in TEL
  • Knowledge Work Management / Knowledge Maturing
  • Application domains of TEL
  • Learning Object Repositories and Meta-Data
  • Game-based learning
  • Problem-based and Inquiry-based learning
  • Responsive learning environments
  • Robots in education
  • Knowledge Representation: Semantic Web
  • Recommender systems
  • Remote labs
  • Constructionism / maker spaces
  • Pervasive, ubiquitous and mobile technologies for learning
  • Assessment technology and Technology-Enhanced Assessment (TEA)
  • Orchestration
  • Authoring tools in TEL
  • Professional TEL / Workplace learning
  • Security and privacy in learning / Ethics
  • Big Data / Open data
  • Digitally mediated communication
  • Sensors / Multimodal Learning Analytics
  • Cloud in TEL
  • Personal Learning Environments (PLE)
  • HR Management / Learning Processes
  • E-Mentoring
  • Computer-Supported Collaborative Learning (CSCL)
  • TEL Business case / Case Studies
  • TEL Policy
  • Contextualised Learning
  • Learning systems (LMS / VLE)

TEL Methods

“TEL methods” are introductions to the research methods most commonly used in the TEL field, from which the majority of PhD candidates in TEL can select at least one that is relevant. Methods marked with a star were found to be most important and sought after by PhD candidates, based on results of the DETEL survey.

  • ⭐Design-Based Research in TEL
  • ⭐Quantitative methods in TEL
  • ⭐Qualitative methods in TEL
  • Action research in TEL
  • Information systems methods in TEL
  • HCI methods in TEL
  • Software engineering methods in TEL

🎓 TEL 'deep dives'

Topics that go into details of narrow and specific topics and can be highly relevant to few participants.