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Lecture Slides from the 1st Lecture in "Social Learning and Knowledge Sharing Technologies" about Learning Theories and Challenges Lecture at TU Darmstadt - Multimedia Communications Lab Lecturers: Johannes Konert & Christoph Rensing
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© author(s) of these slides including research results from the KOM research network and TU Darmstadt; otherwise it is specified at the respective slide
24-Oct-14
Dr.-Ing. Johannes Konert
Dr.-Ing. Christoph Rensing
KOM - Multimedia Communications Lab
Template Teaching v.3.4
KnowShare__2_Theories_Challenges_2014.10.24__1.0.pptx
Theories and Challenges
Social Learning and Knowledge Sharing Technologies
24 October 2014
1. Theories and Challenges
2. Structures and Pattern
Modeling Context
4. Context-Awareness
Search Context Detection
3. Services and Mechanisms
Peer Tutoring Collabora. Tasks
Contextual Services
5. Evaluation
Foundations and Learning Theories
Challenge: Resource Selection & Navigation
Challenge: Coopera-tion & Collaboration
Challenge: Feedback & Targeting
Peer Assessment & Feedback Learning
Analytics
Learning Path Transparency
Offline Evaluation
Hypothesis validation
Formative and summative
Resources
Social Patterns
Graph Theory Basics
Scripted Collaboration
Re- com- men- der
Human
Resource User / Learner
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Learning Theories and systems related to Theories
Motivation
1. Theories and Challenges
2. Structures and Pattern
Modeling Context
4. Context-Awareness
Search Context Detection
3. Services and Mechanisms
Peer Tutoring Collabora. Tasks
Contextual Services
5. Evaluation
Foundations and Learning Theories
Challenge: Resource Selection & Navigation
Challenge: Coopera-tion & Collaboration
Challenge: Feedback & Targeting
Peer Assessment & Feedback Learning
Analytics
Learning Path Transparency
Offline Evaluation
Hypothesis validation
Formative and summative
Resources
Social Patterns
Graph Theory Basics
Scripted Collaboration
Re- com- men- der
Human
Resource User / Learner
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Learning Theories
Conceptual frameworks describing how information is absorbed, processed,
and retained during learning
Building of theories mainly driven by educational psychology
Learning Theories
Inputs Learning
? Outcomes
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Mainly interested in observable behaviour
Like in animal experiments
Behaviour is congenital or influenced by learning
Mental processes uninteresting -> Black Box
Classical Conditioning (Ivan Pavlov: experiment with dogs)
Operant Conditioning (B.F. Skinner)
Characteristics
Behaviorism assumes that a learner is essentially passive, responding to environmental stimuli.
Believes that a learner starts out with a clean slate, and behavior is shaped by positive and negative reinforcement.
Communication between teacher and learner is unidirectional
I. Behaviorism – Foundation & Characteristics
Stimulus Behavior
Image source: MagentaGreen CC BY-SA 3.0
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Classroom
Rewards and punishments
Responsibility for student learning
rests squarely with the teacher
Lecture-based, highly structured
Technology enhanced Learning
Programmed instruction (Skinner)
Small atoms of learning contents
sequentially presented
(Simple) questions to every atom
If answer correct, next atom
If answer wrong, repeating atom and
question
Realized in Computer based
Trainings / Web based Trainings
Design based on behaviorism
Knowledge Medium Content
Learner Learning- Success
Transfer Present- ation
Image source: own from www.docendo.org
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Different kind of learning content /
knowledge related to different
learning processes exist (J.R.
Anderson)
Declarative
Procedural
Situative
Multiple intelligences (H. Gardener)
Linguistic-verbal
Logical-mathematical
Spatial-visual
Body-kinesthetic
Musical
…
II. Cognitivism – Foundations & Characteristics
Cognitivism attempts to answer how and why people learn
What is going in the mind (cognitivism) vs. observable behavior
(behaviorism)
Absorption and processing of
information lead to knowledge
represented and stored in the brain
Teaching and learning processes is seen as coded information transfer
between teacher and learner
Learning content and tasks are didactical prepared
Stimulus Cognitive Processes
Behavior
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Characteristics
Nomination of objectives
Specification of teaching scenarios
Determination of operational
features used during teaching
Instruments for assesment of
knowledge
Classroom
usage of visual aids
material should include
demonstration, examples, feedback
critical thinking
Technology enhanced Learning
Intelligent Tutoring Systems
E.g. Cognitive Tutor http://www.carnegielearning.com/learning-
solutions/software/cognitive-tutor/
Design based on Cognitivism
Knowledge Medium
Offer
Learner Learning- Success
Transfer Process
Image source: http://www.carnegielearning.com/learning-solutions/software/cognitive-tutor/
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Assumptions
Reality is not objectively observable and explainable.
By reflecting on our experiences we construct our own understanding of the
world we live in.
Perception, thinking and knowledge is based on individual constructions.
Foundations
J. Piaget: children learn through organization and schemas – build their own
learning by taking part in social activities and exploration
L. Vygotsky: culture is the prime determinant of individual development
Conclusions
Learner is actively engaged in their learning process (student centered)
Cooperative learning and socialization are central aspects
Learning by critical thinking
Teacher is a guide
III. Constructivism
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Classroom
Group work
Hands-on experimentation, problem
solving, logical reasoning
Students viewpoints are central
Teachers behave as facilitators
…
Technology enhanced learning
Computer supported cooperative
learning (CSCL)
Learning using social software
Community oriented learning
Self-directed learning
…
Systems
Virtual Classrooms
Wikis
Etherpads
Weblogs and Microblogging
Mindmapping
Social Bookmarking
Cloud file storage
Constructivism in practice
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Example Adobe Connect
Virtual Classrooms
Image source: http://opco12.de/16-20-april-2012-einfuhrungswoche/#Online-Event
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Example Vitero
Virtual Classrooms
Image source: vitero.de/de/anwendungsbereiche/e-learning.html
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Example Vitero
Virtual Classrooms
Image source: vitero.de/de/anwendungsbereiche/e-learning.html
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Use of Wikis
Active learning mechanisms
Proven very successful in teaching civil engineering
at “Fachgebiet Stahlbau” TU Darmstadt
Students tasks in a project
Select a steel constructed building around Darmstadt
Create a Wiki-article describing this building
Practical application of knowledge imparted during lecture
Inventory of building features on-site
Peer-reviewing of articles by students
Image sources: http://www.stahlbau.tu-darmstadt.de
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Example
Image source: own from project together with J. Lange & H. Merle (TU Darmstadt)
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Resource-based self-directed Learning
Image sources: blogger.com, google.de, youtube.com, wikipedia.de, stackoverflow.com
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Requirements for resource-based self-directed Learning
Resource-based learning tasks
Identify information need
Plan and reflect on learning process
Search for relevant web resources
Annotate, tag and organize resources
Use resources e.g. to prepare a
presentation
Share and distribute resources and
results to others
Source: RBL Model from Doreen Böhnstedt & Philipp Scholl
Planning and
Reflecting
Searching Sharing
and Distributing
Utilizing Annotating
and Organizing
? Task/ Information Need
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Assumption
The human is a networked individuum. By interaction a network build by
humans and artefacts grows. New knowledge is generated in networked
structures.
Proposed by George Siemens and Stephen Downes
Knowledge is networked and distributed
The experience of learning is one of forming
new neural (biological), conceptual and external (social) networks
Occurs in complex, chaotic, shifting spaces
Increasingly aided by technology
Connected to cMOOCs (connectivistic Massive Open Online Courses)
IV. Connectivism
Image sources: http://www.tedxedmonton.com/speakers/speaker-georgesiemens.html, http://www.downes.ca/
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http://opco12.de/aktivitaten/
Example for a cMOOC – OPCO12
Image source: http://opco12.de/aktivitaten/
KOM – Multimedia Communications Lab 22
Claudia Bremer:
MOOCs: MOOC-Formate und Erfahrungen aus zwei cMOOCs
Example for a cMOOC – OPCO12
Image source: www.bremer.cx/vortrag81/Vortrag_Bremer_AGF2013.pdf
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Claudia Bremer:
MOOCs: MOOC-Formate und Erfahrungen aus zwei cMOOCs
Example for a cMOOC – OPCO12
Image source: www.bremer.cx/vortrag81/Vortrag_Bremer_AGF2013.pdf
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History of Massive Open Online Courses (MOOCs)
2008 2010 2011 2012 2013
CCK08 CCK11
OPCO11 OPCO12
PLENK2010
LAK11
MMC13
leuphana
digital
COER13
…
OpenEd
Syllabus
Udacity
Coursera
edX
MIT Open
Courseware
CS221 AI
openHPI
OpenCourse
World
cMOOCs
xMOOCs
hybride
iversity
Kurse / englischsprachig Kurse / deutschsprachig Anbieter / USA Anbieter / Deutschland
KOM – Multimedia Communications Lab 25
Other Theories
Learning Theories Map http://hotel-project.eu/sites/default/files/Learning_Theory_v6_web/Learning%20Theory.html
Image source: http://hotel-project.eu/sites/default/files/Learning_Theory_v6_web/Learning%20Theory.html
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Learning theories
Influence
educational practices & didactical design
design of educational systems
are not a foundation for a set of rules
focus on different aspects and kinds of learning
Different kinds of learning outcomes and knowledge require different
kinds of educational practices and systems
didactical design based on taxonomies of teaching aims
Anderson, Krathwohl et al. 2001
Learning Theories
Remembering
Understanding
Applying
Analysing
Evaluating
Creating
Metacognitive
Processes
Concepts
Facts
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Characteristics
• Learning and knowledge sharing by communication in groups or
communities
• Learning and knowledge acquisition based on (often freely
available) learning resources
• Knowledge sharing and knowledge generation using social web
applications
• (Many times) initiated by a current knowledge demand
• (Most times) missing of a teacher or tutor
Social Learning and Knowledge Sharing in Open
Arrangements
Image source: https://www.youtube.com/watch?v=NIlwGYY0_AA
https://www.youtube.com/watch?v=NIlwGYY0_AA
KOM – Multimedia Communications Lab 30
Challenges in Social Learning and Knowledge Sharing
Placement in the context of the lecture
1. Theories and Challenges
2. Structures and Pattern
Modeling Context
4. Context-Awareness
Search Context Detection
3. Services and Mechanisms
Peer Tutoring Collabora. Tasks
Contextual Services
5. Evaluation
Foundations and Learning Theories
Challenge: Resource Selection & Navigation
Challenge: Coopera-tion & Collaboration
Challenge: Feedback & Targeting
Peer Assessment & Feedback Learning
Analytics
Learning Path Transparency
Offline Evaluation
Hypothesis validation
Formative and summative
Resources
Social Patterns
Graph Theory Basics
Scripted Collaboration
Re- com- men- der
Human
Resource User / Learner
KOM – Multimedia Communications Lab 31
How to find resources?
Sources to be used
Usage of different sources (not only google)
Formulation of a query without strong expertise in an area
How to evaluate resources?
Benefit to reach learning goal
Fit to current situation
Credibility
Technical conditions
How to navigate through resources?
Sequence of resources
1. Challenge Resource Selection & Navigation
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How to define learning goals?
for students Taxonomies of teaching aims
by yourself SMART result expectations
How to motivate to reach learning goals?
Self-Regulation
How to concentrate on learning goals?
2. Challenge Targeting
Image source: http://blog.commlabindia.com/elearning-design/learning-goals
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Bloom et al. (1956) Anderson, Krathwohl et al. 2001
Bloom (1976)
Taxonomy of Learning Goals
Knowledge
Comprehension
Application
Analysis
Synthesis
Evaluation
Remembering
Understanding
Applying
Analysing
Evaluating
Creating
Dt. Bildungsrat Bloom
Problemlösung/
Beurteilung
Bewertung Einen Sachverhalt anhand eigener Kriterien systematisch bewerten
Synthese Aus erlernten Strukturen ein neuartiges Ganzes entwickeln
Transfer Analyse Sachverhalt mit eigenen Kriterien systematisch u. umfassend untersuchen
Anwendung Erlernte Strukturen in ähnlichen Situationen anwenden
Reorganisation Verstehen Erlerntes sinngemäß abbilden
Reproduktion Wissen Erlerntes in unveränderter Weise erkennen und/oder reproduzieren
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S Specific The expectation is specific if it is clearly written so that it is easily
understood by the employee.
M Measurable The expectation is measurable if it covers at least one measure of a
quality metric, quantity, time and/or cost effectiveness. Measurable
means not merely meeting a standard but evaluating how well the
standard needed to reached. Without a specific measure, the
employee is not able to self-monitor how they are doing related to
their performance or achieving the work unit’s results.
A Attainable The expectation is attainable by the employee if it is appropriate to
the employee’s job level. It allows for some stretch so that the
employee will neither exceed the expectation too easily nor not be
able to reach the successful level. It encourages the employees to
push themselves to meet the work unit’s goals.
R Realistic The expectation is realistic if it is within reach of the employee to
meet the expectation.
T Time bound The expectation is time bound if it can be accomplished within the
work cycle.
SMART Result Expectations
Doran (1981). Management's goals and objectives
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Self-Regulated Learning (SRL) focuses acquisition of knowledge as
an active self-directed process towards efficiency and effectivity of
learning. Schmitz (2001)
Competencies „how to learn individually“ are crucial
Individual responsibility and self-monitoring
Process Model
Self-Regulated Learning
Pre-actional Post-actional Actional
goal setting
planning
application of
strategy
self-
monitoring
control
reflection
goal
modification
modification
of strategy
KOM – Multimedia Communications Lab 36
Systems of Self-Regulated Learning
Three „systems“ necessary for being able to learn self-regulatedly
Boekaerts (1999)
Motivational / emotional system
cognitive system
metacognitive system
Overcome difficulties to … • … get started • … stick to task
plan / monitor / reflect
learning process
Learning task related
strategies
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Self-regulated Learning is not easy and has to be trained and
supported.
In e-Learning Scaffolds
Scaffolds
software tools
support learners to regulate cognitive, metacognitive and motivational
processes
before, during and after learning actions.
increases quality of learning processes and outcome
(Scholl et al. 2009)
Example:
Scaffolds
KOM – Multimedia Communications Lab 38
Definition following Hattie & Timperley (2007):
Feedback is conceptualized as information provided by an agent
(e.g., teacher, peer, book, parent, self, experience) regarding
aspects of one’s performance or understanding.
3. Challenge Feedback
KOM – Multimedia Communications Lab 39
Hattie & Timperley (2007)
Feedback Modell
Image sources: Hattie & Timperley (2007)
KOM – Multimedia Communications Lab 40
How to get feedback
about the learning activities towards the learning goal?
whether learning objectives are achieved?
Examples
Peer Feedback
Systems Feedback
Scaffolds
Assessment
…
Questions
When?
Elaboration?
Qualitative feedback vs. wrong/correct
…
Challenge Feedback
Reflection
Awareness
…
KOM – Multimedia Communications Lab 41
Group work
central in constructivism and other theories
Research Area CSCL:
Computer supported collaborative/cooperative/collective learning
synchronous or asynchronous
same or different location
Concepts and Characteristics
4. Challenge: Cooperation & Collaboration
Image sources: https://www.youtube.com/watch?v=uL5mHE3H5wE / Concert Lab Fraunhofer IPSI / Hilliges et al. 2007
Aspect Peer
Tutoring
Cooperative
Learning
Peer Collabo-
ration
Equality Low High High
Mutuality Low Varies High
Skill Development High Varies Low
Problem-solving Low Varies High
Source: Konert, J. – Interactive Multimedia Learning, Springer 2014
KOM – Multimedia Communications Lab 42
How to form a group?
Size
Members
Roles in the group
When to start or end group work?
Integrated in other learning scenarios
How to structure, monitor, support group work?
Level of detailed of task description
Assignment of subtasks to roles
Awareness of group processes
Intervention of teachers/tutors
When to rearrange the group composition?
Inidicators for bad performance
Challenges Cooperation & Collaboration
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Wrapup
Behaviourism
Cognitivism
Constructivism
Connectivism
Image sources: http://jntcarticles.blogspot.de/2012/01/required-competencies-to-solve-global.html http://hotel-project.eu/sites/default/files/Learning_Theory_v6_web/Learning%20Theory.html
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Task 1 – SMART Goals (1 Point)
Task 2 – Connectivism – a learning theory? (1 Point)
Task 3 – Your own task related to lecture 2 (2 Points)
From all tasks collected during the semester we will choose at least
one for the final examination.
Your solution of the exercise have to be uploaded till Wednesday 9:40 in the
following week (see Submission Date above) again using the moodle module.
The own task and a correct sample solution (see last task in this exercise) enter
in the moodle course forum “Students Exercises” as a new question.
About the Exercise
S Specific
M Measurable
A Attainable
R Realistic
T Time bound
KOM – Multimedia Communications Lab 45
Approaches to Modern
Web Application Development
MVC, ACID, CRUD REST,
LAMP <-> MEAN
Social Media Systems Design Aspects
Content vs. User
Relationship Types
Roles, Levels, Badgets, Achievements
as an instrument for Guidance
Responsibility and Democracy
Ambient Intimacy
Graph Theory Basics
What have
subways, emails and rivers in common?
(or users, tags, resources)
Image sources: http://www.seawaterfoundation.org/siteImages/rivers_art.jpg,, http://vnfa8y5n3zndutm1.zippykid.netdna-cdn.com/wp-content/uploads/2011/12/url7.jpg, http://images.all-free-
download.com/images/graphiclarge/s_bahn_71263.jpg, http://de.roblox.com/item.aspx?seoname=U-Bahn&id=28172595, http://faculty.kutztown.edu/rieksts/225/graphs/tripartite_files/image002.jpg,
Next week: Lecture 3
Social Patterns & Graph Theories Basics
KOM – Multimedia Communications Lab 46
Thank you for your attention, questions, feedback or hints.
Endslide
[email protected]…. .de [email protected]…. .de
KOM – Multimedia Communications Lab 47
Anderson, L.W. (Ed.), Krathwohl, D.R. (Ed.), Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich, P.R., Raths, J., &
Wittrock, M.C. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's Taxonomy of Educational
Objectives (Complete edition). New York: Longman.
Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31,
pp. 445-457.
Bloom, B. S.; Engelhart, M. D.; Furst, E. J.; Hill, W. H.; Krathwohl, D. R. (1956). Taxonomy of educational objectives:
The classification of educational goals. Handbook I: Cognitive domain. New York: David McKay Company.
Doran, G. T. (1981). "There's a S.M.A.R.T. way to write management's goals and objectives". Management Review
(AMA FORUM) 70 (11): 35–36.
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of educational research, 77(1), 81-112.
Schmitz, B. (2001). Self-Monitoring zur Unterstützung des Transfers einer Schulung in Selbstregulation für Studierende:
Eine prozessanalytische Untersuchung. Zeitschrift für Pädagogische Psychologie, 15, 3/4, pp. 181-197.
Scholl, P., Benz, B. F., Böhnstedt, D., Rensing, C., Schmitz, B., & Steinmetz, R. (2009). Implementation and Evaluation
of a Tool for setting Goals in self-regulated Learning with Web Resources. In Learning in the Synergy of Multiple
Disciplines (pp. 521-534). Springer Berlin Heidelberg.
Video on Social Learning: fuse, What is Social Learning? https://www.youtube.com/watch?v=NIlwGYY0_AA
References
KOM – Multimedia Communications Lab 48
Learning Theories
• Gabi Reinmann: Didatkisches Handeln – Die Beziehung zwischen Lerntheorien und Didaktischem Design, in M. Ebner,
S. Schön (Hrsg.) L3T – Lehrbuch für Lernen und Lehren mit neuen Medien, 2013.
http://l3t.tugraz.at/index.php/LehrbuchEbner10/article/download/93/88
• Michael Kerres: Multimediale und Telemediale Lernumgebungen, 2. Auflage, Oldenbourg, 2001.
Resource-based Learning & self-regulated learning
• Scholl, P., Benz, B. F., Böhnstedt, D., Rensing, C., Schmitz, B., & Steinmetz, R. (2009). Implementation and Evaluation
of a Tool for setting Goals in self-regulated Learning with Web Resources. In Learning in the Synergy of Multiple
Disciplines (pp. 521-534). Springer Berlin Heidelberg.
• Anjorin, M., Rensing, C., Bischoff, K., Bogner, C., Lehmann, L., Reger, A. L., ... & García, R. D. (2011). Crokodil-a
platform for collaborative resource-based learning. In Towards Ubiquitous Learning (pp. 29-42). Springer Berlin
Heidelberg.
Connectivism and cMOOCs
• Video Connectivism talk by George Siemes http://elearnspace.org/media/WhatIsConnectivism/player.html
• Video OPCO12 talk by Claudia Bremer and Joachim Wedekind https://lecture2go.uni-hamburg.de/konferenzen/-/k/14441
Feedback
• Hattie, J., & Timperley, H. (2007). The power of feedback. Review of educational research, 77(1), 81-112.
• Musch, J. (1999). Die Gestaltung von Feedback in computergestützten Lernumgebungen: Modelle und Befunde.
Zeitschrift für Pädagogische Psychologie, 13(3), 148-160.
Collaborative Learning
• Konert, J. (2014). Interactive Multimedia Learning, Springer.
• Haake, J., Schwabe, G., Wessner, M. (2012). CSCL-Kompendium 2.0, Oldenbourg
Further Readings
KOM – Multimedia Communications Lab 49
Sources are indicated at bottom of the slides
Image Sources