Intelligent Systems and Human Learning (new advanced lecture)

See more and register here: https://cms.sic.saarland/ishl_25/ 

Description:

This new advanced lecture introduces various kinds of advanced technologies used to support human learning (e.g., in school classrooms). We will review and critically analyze different techniques, learning science theories and principles, “learning engineering” efforts, and technological features that are embedded in such systems. We will work on a group-based project in which students will conduct an end-to-end cycle of designing, implementing, and testing (via a small experiment or user study) a learning technology for a target goal/domain, guided by the instructor and teaching team. The goal of this lecture is to help you understand core technologies and approaches used in the design/development of learning technologies (that are used in practice) and to equip you with the skills of designing/developing a piece of learning technology and evaluation its effectiveness on learning, engagement, and on related constructs. The course welcomes students with any background (in terms of cultural, racial, disciplinary, and technological) — we are looking forward to building a community of learners with diverse perspective to engage in deep discussions and hands-on activities.

Lecturer:  Prof. Dr. Tomohiro Nagashima

Teaching Assistant: Dr. Man “Echo” Su 

Tutors: Marjo Toska & Ida Amoli

Location and Time: Tue 12-14 HS002 for the lecture; Thu 12-14 HS003 for the tutorial.

Credit points: 6CP

Learning objectives:

In this course, students will be able to 1) critically analyze learning technologies using learning sciences principles, 2) learn how to conduct a user-centered design of learning technologies, and 3) learn how to empirically test the effectiveness of learning technologies through multiple methods.

Prerequisite:

Students will be designing and developing a learning technology (as a group). Therefore students are required to have web-based programming skills and experience. Students will also be testing a learning technology with stakeholders in the form of an experiment or user study — some basic knowledge of HCI, user studies, experimental design is a plus, but not required. The course is open to any students from any department/faculty/degree programs.

Course structure and schedule:

TBD

Grading:

10%: Weekly reflection posts

20%: Mid-term exam/quiz

30%: Weekly individual and group-based assignments

20%: Final project report (individual)

20% Final presentation (group)

5% bonus: Contributions to discussion during the class

*No final exams are planned 

Core activities:

TBD

Readings:

TBD: All readings will be provided.

Notes on respecting teaching team’s time:

Every one of you have a busy schedule – balancing coursework, research jobs, tutor jobs, and other responsibilities – and that’s same for us. While we try to answer all the questions within 24 hours, we kindly ask you to understand that our response to your questions may sometimes be delayed, especially on weekends. 

Accommodations for learning needs and the importance of inclusion:

If you have any needs that require some adjustments for you to succeed in this lecture, please discuss with Tomo in advance, and/or contact the Equal Opportunities and Diversity Unit at UdS: https://www.uni-saarland.de/en/administration/diversity.html Also, it is important that all members of the class feel respected, safe, and valued. I recognize that my ideas and thoughts might be biased based on my training and cultural experiences. Therefore, please let me know if at any time you feel uncomfortable in the class (this also applies to course materials and discussions we will have in the class).