Ongoing journey towards quality of learning

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Ongoing journey towards quality of learning

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2300 students aiming at Master's degree. 170 employees, 15% foreign ... The university gave Linus an honorary doctorate in 2000 ... –

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Title: Ongoing journey towards quality of learning


1
Ongoing journey towards quality of learning
  • Jaakko Kurhila, Head of Studies
  • Heikki Lokki, Lecturer, Head of Development of
    Education

Faculty of Science Department of Computer Science
2
University of Helsinki in nutshell
  • The largest and oldest university in Finland
  • 38 000 students
  • 7900 employees
  • 300 subjects
  • 4500 degrees / year
  • 400 PhD / year
  • Founded on 1640 in Turku, moved to Helsinki on
    1828

3
University of HelsinkiCampuses in Helsinki,
Branches in Finland
Helsinki
4
Aerial Photo
5
Department of Computer Science key facts
  • The leading institution in Computer Science in
    Finland
  • 2300 students aiming at Masters degree
  • 170 employees, 15 foreign
  • Two research units and numerous research groups
  • Helsinki Institute for Information Technology
    (HIIT)
  • Algorithmic Data Analysis (Algodan)
  • Top international quality
  • International evaluations in 2005, 2007
  • Algodan is a Centre of Excellence in Research
  • National unit of excellence in higher education
    2007-9

6
Linux
  • Linus Torvalds, who developed the Linux OS,
    studied and worked at the department in
    1988-1997
  • The university gave Linus an honorary doctorate
    in 2000
  • The department has been using Linux as the main
    operating system for nearly 15 years

7
Impact on science and society
  • High impact on computer science Every year ca.
    150 refereed publications, high citation rates,
    text-book material
  • Strong utilization of results industrial
    co-operation, standards, spin-offs, software,
    patents
  • Extensive collaboration
  • international and domestic
  • in computer science and across disciplines
  • Impact also on other sciences
  • Investments into researcher training

8
Key facts of the teaching environment
  • Well-planned, well-normed
  • Operations documented in an open, collaboratively
    produced quality manual
  • Economy of scale
  • Rotation and appropriateness, sabbaticals
  • Researchers participate
  • Repeated short afternoons for all the faculty
  • Increasing number in formal univ. pedagogical
    training
  • Athmosphere clearly very good (2007 survey)

9
Always been like this
  • Teaching valued, teachers respected
  • Teaching well-standardized
  • Lectures mostly 2x2 hours per week
  • Lab exercises 2 hours per week
  • Some courses with project assignment(s)
  • Exam at the end

10
Development of Teaching at the Department
  • Clear focus from teaching to learning
  • Teacher's role from a soloist to a conductor of
    an orchestra
  • What would be suitable and applicable to our
    department?
  • Workload for the teachers cannot grow
  • Faculty well-being is important
  • Job markets require more team-work skills
  • Based on
  • University strategies
  • Appropriate, concrete applications of educational
    sciences

11
University of Helsinki, strategy
  • Everyone researches, everyone teaches
  • Student-centered, high-quality learning
  • Learning to learn
  • Collaboration and expertise sharing

12
Constructive alignment in teaching and learning
  • Learning outcomes are important, therefore,
    learning objectives are well-articulated
    learning methods, materials, and assessment
    support to meet the objectives
  • Learning objectives well-defined, versatile,
    comprehensive
  • Methods flexible and versatile (multiple
    exposure)
  • Materials of high-quality, accessible
  • Assessment that enables expertise accumulation

13
Learning objective matrices
Faculty of Science Department of Computer Science
14
Short history (1/2)
  • Preparation of instructions for teachers in
    Autumn 2005
  • Committee for the development of education
  • Students input important
  • Department-wide discussions
  • Approved by the steering committee of the
    department
  • In Spring 2006 learning objective matrices were
    produced for all compulsory Bachelors degree
    courses
  • Detailed planning by head teachers of each course
  • Synchronizing within and across specialization
    lines
  • Some teachers had difficulties in outlining the
    different depth levels of learning

15
Short history (2/2)
  • Principal themes of learning objective matrices
    directed the planning of the new curricula in
    2007-8
  • In Spring 2008 learning objective matrices were
    produced for all compulsory Bachelors and
    Masters courses
  • The Faculty of Science adopted our model for all
    the departments
  • Presentations of our learning objective matrix
    model within Univ of Helsinki and beyond

16
Learning objectives of courses (1/2)
  • What is fundamental in your course?
  • Describe in a clear and compact manner what a
    student is able to do after passing the course
  • Illustrate the learning objectives according to
    the format
  • After the course a student is capable to list,
    compute, estimate, apply, explain, predict, model
    etc. such and such item
  • Do not use words like learn" or understand
    because it is difficult to assess the achievement
    of these for both students and teachers

17
Learning objectives (2/2)
  • In objectives several levels of knowledge are
    separated (adapted from Blooms taxonomy)
  • Lowest level is recalling" examples of
    objectives list, select.
  • Second level is basic understanding" explain,
    describe.
  • Third level is applying" apply, compute, solve.
  • Forth level is analyzing" derive, classify.
  • Fifth level is synthesize" plan, design.
  • Sixth level is "evaluation" conclude and
    justify, select and justify.

18
(No Transcript)
19
E.g. from the preceding course on the
same topic. From high school. General knowledge
(explain what). No previous knowledge needed.
When one commands all of these (and
nothing else), one passes the course with
lowest grade.
When one commands all of these, one gets the
grade 5/5.
Not required. Points to deeper knowledge. Course
material may not cover this.
New concep- tual wholes. Usually ca. 1 per
credit unit.
20
Study circles as a primary learning method
  • Starting in 2003, nine courses employed study
    circles
  • Detailed manual on-line
  • http//www.cs.helsinki.fi/laitos/opintopiiriohjeet
    .pdf
  • Outside expert for educating about group dynamics
  • Joint (teachers and TA's) course structure
    development in several get-togethers
  • Planned methods for receiving feedback
  • Feedback was analysed by an outside expert
  • http//www.cs.helsinki.fi/laitos/opintopiiriraport
    ti2005.pdf

21
Learning assessment
  • Learning objectives and learning assessment
    affects greatly to learning activities
  • Assessment of learning of principal themes
  • Every principal theme must be separately passed
  • For example, 3 questions with a and b
    questions, in which a assesses the minimum and
    b the complete requirements of the theme
  • Significantly quicker feedback on results
  • If one theme is failed, rapid chance to redo the
    theme (with possibly flexible arrangements)
  • Approved by the Dept Steering Group and
    communicated to the faculty, but not yet widely
    in use

22
Managing teaching development
  • Identifying needs
  • Thorough preparation of a suitable solution
  • Development of teaching group, in which strong
    student representation
  • Use of outside experts when needed
  • Testing of the principles with trusted people
  • Involving decision makers (Head of Dept and the
    Dept Steering Group)
  • Preparation is taken to departmental level
  • In departmental strategy preparation
  • Department-wide discussions, communicated through
    multiple channels
  • Principles are included in the strategy
  • Implementation
  • Clear and concise guidelines for implementation
  • Support when needed
  • Appreciate the resistance to change
  • Follow-up of the success of the change

23
ICT to support education
  • In-house tools for teaching administration
    course management, Thesis progress database,
    course enrollment, course feedback ...
  • Generic tools for synch/asynch communication
    irc, skype, newsgroups, email, wikis, cvs ...
  • Specific tools and web-courses SQL-Trainer,
    Introduction to Databases, Computer Operation
    (with synchronized multimedia)
  • Video lecture archive several hundred lectures
    (OSCu courses and others)
  • Research-level tools Educo, OurWeb, Jeliot, ...
  • Always supported by the structure in educational
    arrangements
  • Forward thinking courses wholly or partly in
    Second Life
  • Dedicated support for teachers
  • Moodle server admin

24
Two approaches
  • Top-down structures that support learning are in
    place
  • Constructive alignment of teaching as a primary
    structure
  • Bottom-up participation, ownership in the
    learning environment
  • Student empowerment and emergence of versatile
    learning activities

25
Student empowerment
  • Allow and require students to take responsibility
  • Students are important
  • Students have an effect
  • Significant resources allocated to student
    organization TKO-äly for developing their
    learning environment
  • ? sense of ownership, participation in the
    department
  • Not a project but an attitude!

26
Student empowerment instant results
  • IRC-server for IRC-tutoring
  • Student-organized courses
  • Introduction to Lambda Calculus course
  • Functional programming course
  • Web 2.0 -course
  • TKO-älys own textbook library
  • Web-based exam archive
  • Mini-laptop uses in education
  • competition to involve and come up with ideas
  • CS workshop for self-challenge - if the school
    does not challenge enough!
  • Preparation and coaching for intl programming
    competitions
  • Lego Mindstorms robots as creative tools
  • Open source projects

27
Long-term, well-resourced, carefully planned and
documented development with committed people,
supported by management and leadership? doing
things well
Faculty of Science Department of Computer Science
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