CloseHelpPrint
Kies de Nederlandse taal
Course module: 201400002
201400002
Innovative Technology-Based Learning Environments
Course infoSchedule
Course module201400002
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact persondr. N. Dmoshinskaia
E-mailn.dmoshinskaia@utwente.nl
Lecturer(s)
Contactperson for the course
dr. N. Dmoshinskaia
Examiner
dr. N. Dmoshinskaia
Academic year2022
Starting block
2A
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
At the end of the course, the student has knowledge and insight in:
  1. main theories of learning that are relevant to innovative technology-based learning, such as engagement learning theory, Mayer’s cognitive theory of multimedia learning and cognitive load theory.
  2. theories and research into applications and elements of technology-based learning, such as computer simulations and virtual or remote labs, instructional videos, serious games and gamification, and computer-supported collaborative learning.
 
Furthermore, at the end of this course, the student is able to:
  1. use scientific theories and empirical research to make deliberate design decisions for technology-based instructional elements, such as computer simulations and virtual or remote labs, instructional videos, serious games and gamification, and computer-supported collaborative learning.
  2. create a technology-based learning environment that aims at solving problem(s) identified during needs analysis.
 
Relationship  with MPS Final Qualifications ([FQ’s] as described in the MPS programme specific appendix of the EER):
  • This course contributes (strongly) to: Disciplinary and specialist knowledge and skills at an advanced level, Design competences at an advanced level
  • To a limited extent, this course contributes to: Research competences at an advanced level, Academic and professional skills and attitude aspects
  • This courses assesses the following FQ’s in some way (can include formal/informal, formative/summative, peer/expert): Disciplinary and specialist knowledge and skills at an advanced level,  Research / Design competences at an advanced level, Academic and professional skills and attitude aspects.
 
 
Relationship with EST labour market (Intended Learning Outcomes [ILO’s] as described in the EST programme specific appendix of the EER):
  • This course contributes (strongly) to: Domain expertise, Design competence
  • To a limited extent, this course contributes to: Research competence, Academic reflection
  • This courses assesses the following ILO’s in some way (can include formal/informal, formative/summative, peer/expert): Domain expertise, Design competence, Research competence, Academic reflection.

In what way does this master’s course prepare students for the work field?
Technology for learning has found its way into schools and companies. Publishers add technology-based learning modules to their paper books or they develop complete learning environments in order to replace them. Companies often use online in-service trainings for their employees. This course prepares students for work in which they have to design technology-based instruction. It enables them to do so by making design decisions that are based on scientific theories and empirical research.
Content
Nowadays, technology plays a major role in educational practice. In this course, students will be introduced to how technology-based learning environments need to be designed in order to enhance learners’ knowledge. Topics from the fields of psychology, educational sciences, and instructional technology will be discussed, including Mayer’s cognitive theory of multimedia learning, cognitive load theory, inquiry learning with computer simulations and virtual or remote labs, video instruction, gamification, and computer-supported collaborative learning.
This course applies a problem-based approach to learning, which means that it starts with students identifying problems in a modern classroom, and then use known theories and technologies as instruments to solve them.
 
At the end of the course, the student has knowledge and insight in:
  •  main theories of learning that are relevant to innovative technology-based learning, such as Mayer’s cognitive theory of multimedia learning and cognitive load theory;
  •  theories and research into applications and elements of technology-based learning, such as computer simulations and virtual or remote labs, instructional videos, serious games and gamification, and computer-supported collaborative learning;
 
Furthermore, at the end of this course, the student is able to:
  • use scientific theories and empirical research to make deliberate design decisions for technology-based instructional elements, such as computer simulations and virtual or remote labs, instructional videos, serious games and gamification, and computer-supported collaborative learning.
  • create a technology-based learning environment that aims at solving problem(s) identified during needs analysis.
 
Relationship with technology:
  • lectures focus on theories and research relevant to the design of technology-based learning environments
  • students have to design a technology-based learning environment themselves
Assessment
To finish this course, students work in small teams of 4 members. Each team will perform a needs assessment, design and build an online lesson to address identified problems, and conduct a pilot study in which the lesson is evaluated. The teams have to write a report in which they discuss the rationales behind their design decisions from the perspective of theory and empirical research findings. Each member of the team individually provides feedback on the Inquiry Learning Space and corresponding report of another team. During the last lecture, all teams present their products to colleagues of the department who are invited to give their feedback and opinion on the products.
Assumed previous knowledge
Bachelor or pre-master Psychology or Onderwijskunde UT
Participating study
Master Educational Science and Technology
Participating study
Master Psychology
Required materials
Course material
Number of articles, will be published via Canvas
Recommended materials
-
Instructional modes
Lecture
Presence dutyYes

Tests
Assignments

CloseHelpPrint
Kies de Nederlandse taal