The ÄlyOppi project organises a series of webinars presenting the results and accomplisments of the project. The webinars last for an hour, and approximately the first 40 minutes will be recorded. The question sessions after the presentations will not be recorded.
The presentations will be in Finnish, but you are welcome to ask questions also in English.
All the webinars start at 09:00.
7.5. at 09:00
Introductory online course in probability and statistics (Simo Ali-Löytty and Pekka Pere, Tampere University)
- The webinar presents materials of an online course MATH.APP.210
Introduction to Probability and Statistical Inference, a new, compulsory statistics course for students in data analytics, mathematics, and engineering at the Tampere University. The course will also be available at FITech.
21.5. Medication calculation (Heikki Paakkonen, Arcada)
- The webinar presents medication calculation exercises created in the mathematics subproject.
15.1. Flipped classroom in mathematics (Petri Nokelainen, Tampere University)
- Flipped learning aims to increase the interaction between the students and the teacher. Students are given materials to study before the lecture, and the time typically spent lecturing the subject will be used to further engage in the concepts with the help of the teacher. This webinar presents the experiences of using flipped learning in mathematics in the Tampere University.
29.1. Peer review in different learning systems (Anni Rytkönen, Aalto University, Timo Poranen and Eliisa Väkevä, Tampere University and Vesa Lappalainen, University of Jyväskylä)
- In peer review, students evaluate and give feedback to other students according to teacher's instructions. In this webinar, we present peer review functionalities in different learning systems and platforms.
12.2. ViLLE learning system: "From teachers to teachers" (Mikko-Jussi Laakso, University of Turku)
- ViLLE is a collaborative learning platform developed by the Centre of Learning Analytics of the University of Turku. It offers students and teachers detailed information regarding their learning process in the form of immediate feedback and learning analytics. Teachers can create exercises for their personal use but they can also utilise materials made by others. Most exercises are automatically assessed which allows teachers to spend more of their time supporting students. The research focus of the Centre is on different aspects of learning which strongly influences the development of ViLLE.
26.2. Introduction to learning analytics and improving education: from course level to a national ecosystem (Mikko-Jussi Laakso, University of Turku)
- Are you interested in learning analytics, but don't know where to start? What are the basics of learning analytics, and what's the history behind the Centre of Learning Analytics? How can we improve education based on research and knowledge? Through these questions, the webinar introduces the basics of learning analytics in different educational levels and explores the future of the field.
12.3. Online assessment in programming courses (Vesa Lappalainen, University of Jyväskylä, Ari Korhonen and Sanna Suoranta, Aalto University, and Eliisa Väkevä, Tampere University)
- The webinar presents how course exams, entrance exams and assessment in handled online in various universities, focusing especially on the technologies used in computer science and programming courses. The panelists from three different universities discuss, for example, why online course and entrance exams are useful, how can they benefit both the teacher and the students, and how an online exam differs from a traditional pen-and-paper exam. The discussion is moderated by Ari Korhonen (Aalto University), and the panelists are Eliisa Väkevä (Tampere University), Sanna Suoranta (Aalto University) and Vesa Lappalainen (University of Jyväskylä).
26.3. Best practices for online teaching and applications to classroom
- Computer science and software engineering courses have applied online tools and materials to classroom learning for a long time, and developed systems that work well for both the students and the teachers. What are the best practices from online education that could be applied to classroom? How could we improve both online and classroom learning by utilizing both methods?
9.4. Teacher networks in computer science (Ari Korhonen, Aalto University, Timo Poranen and Terhi Kilamo, Tampere University, and Antti Knutas, Lappeenranta University of Technology)
- The computer science subproject currently has four active teacher networks for courses in introductory programming, algorithms and data structures, web programming, and databases. In this webinar, the teacher networks present their work and future directions.
23.4. Future directions for online education tools and materials (Petri Salo, Aalto University, Simo Ali-Löytty and Terhi Kilamo, Tampere University, Vesa Lappalainen, University of Jyväskylä, and Mikko-Jussi Laakso, University of Turku)
- Co-developing and sharing online learning materials has generally gained support, but in reality, materials rarely get used outside of the creator's own courses. In this webinar, learning system developers and teachers discuss the benefits and problems of sharing materials and educational tools in mathematics, physics, and computer science.
Autumn 2020 webinars
25.9. Electrical and mechanical engineering, automated assessment for online exercises (Juho Alatalo, University of Oulu and Otto Ellonen, University of Vaasa)
- The electrical and mechanical engineering subproject creates interactive, automatically assessed online exercises for the STACK system.
9.10. STACK system for automated assessment of mathematical exercises, and learning resources developed in the Abacus project (Petri Salo, Aalto University and Simo Ali-Löytty, Tampere University)
- STACK is an open-source online assessment system for mathematics and STEM, designed to enable students to answer questions with mathematical expressions. Abacus is a material bank for STEM education, providing maintained and ready-to use material for lecturing and exercises. The presentation will introduce using STACK and creating exercises in the system.
23.10.Overview of the computer science subproject (Lauri Malmi and Ari Korhonen, Aalto University)
- The computer science subproject strives to improve computer science online materials and ease the integration of existing educational tools. The subproject also builds teacher networks for various courses and themes, such as teaching introductory programming and databases. This presentation gives an overview of the computer science subproject. The achievements and results of the subproject will be presented in more detail in later webinars.
6.11. Supporting states in STACK exercises (Matti Harjula, Mathematics/Aalto University and Kimmo Kulmala, Physics/Aalto University)
- The physics subproject has created different kinds of exercises for the STACK system. This presentation introduces a new type of exercise with adaptive states that change according to students' answers.
20.11. Overview of the mathematics subproject (Simo Ali-Löytty and Valtteri Pinkkilä, Tampere University and Lassi Korhonen, University of Oulu)
- The mathematics subproject has created exercises and developed new features for the STACK system, as well as implemented online materials for several mathematics courses. This presentation gives an overview of the subproject, while more detailed results will be presented in later webinars.
4.12. TIM - The Interactive Material platform (Vesa Lappalainen, University of Jyväskylä)
- TIM is a document-based cloud service for producing interactive materials. The system has been developed to be easy to use both by teachers and students with collaborative elements, support for various types of course materials and monitoring tools for teachers.
11.12. Plussa learning management system (Terhi Kilamo, Tampere University)
- Plussa (or A+) was originally developed in the Aalto University as a learning management system specifically for computer science and programming courses. It allows various interactive components to be used within a course material, such as automatic programming exercise tests. Nowadays, the system is developed in cooperation with Aalto University and Tampere University.