|
INFORMATION |
The
Ninth IASTED International Conference on
Computers and Advanced Technology
in Education
~ CATE 2006 ~
October 4-6, 2006
Lima, Peru
Design
and Evaluation of Computer-based
Learning Environments
Prof.
Dr. Heinz Mandl
University of Munich, Germany
Description
When we look at the design and evaluation of computer-based
learning environments, there are especially three different
aspects which must be considered: (1) the aim of the computer-based
learning environment, (2) the theoretical principles lying
behind the design and the (3) evaluation criteria. The reason
for designing a computer-based learning environment is the
first important antecedent. This concerns e. g. knowledge,
competences or skills learners are supposed to acquire by
working with the learning environment. Depending on this
first decision are design and evaluation. Design principles
are based on theoretical approaches on learning and instruction.
There are especially two theoretical approaches relevant:
a cognitive and a constructivist theoretical concept. While
in a learning environment based on cognitive assumptions
all effort is devoted to instruction and the planning, organizing
and guidance of the learning process, in a constructivist-oriented
learning environment, the learner and its learning process
is focused on. Evaluation criteria are relevant for measuring
the effectiveness of the computer-based learning environment.
According to Kirkpatrick (1996), there are especially four
evaluation steps necessary: Reaction, learning, behaviour
and results. Reaction is defined as the acceptance of the
computer-based learning environment. Only if learners like
it, will they learn with it effectively. Learning is the
second step. In the third step it must be evaluated whether
the knowledge, skills, or competences learned by an individual
are transferred into one’s everyday behaviour. This
change in behavior may have an impact on the organization
as a result of the learning environment.
Aims, design principles and evaluation criteria of computer-based
learning environments are a main topic in this session.
Six different computer-based learning environments are presented
and illustrated with data of its realization and implementation
in higher and further education. Furthermore, a detailed
discussion will follow to show advantages and disadvantages
of the various learning environments.
The first contribution of Tergan gives an introduction to
the topic of evaluating e-learning environments in general.
He presents a comprehensive approach that includes every
aspect relevant for evaluations in virtual learning environments.
The second contribution of Stark and Krause shows the hypertext-based
learning environment WALe which was developed to facilitate
competence change in educational argumentation in higher
education with problem-oriented learning principles.
Also based on constructivist theories is the third learning
environment of a virtual seminar which focuses on collaborative
learning in higher education (Kopp, Schnurer and Mandl).
Besides design principles and evaluation data, detailed
process-product analyses are presented which shows the relevance
of content-specific activities for learning in virtual learning
environments.
This kind of virtual seminar is the object of investigation
in the contribution of Diekamp, too. He evaluates the interpersonal
knowledge of collaborating partners and its influence on
satisfaction, learning outcome as well as acceptance. It
will be shown, how interpersonal knowledge can develop in
asynchronous learning environments. Further on, the effects
of interpersonal knowledge on learning processes and outcomes
are analysed.
Instructional design is the basis of Zumbach’s contribution
which concerns an hyperaudio learning environment with cellular
phones. The non-linear audio-based learning environment
will be presented as well as results on learning processes
and outcomes.
The last contribution of Niegemann exemplifies the design
of learning environments by showing an E-Learning design
assistant. This system aims to assist developers on designing
multimedia learning environments with instructional design
theory depending on six main design decisions.
Single contributions:
- Sigmar-Olaf
Tergan: Evaluating e-Learning environments. A comprehensive
approach.
- Robin Stark,
& Ulrike-Marie Krause: Facilitating competence
change in educational argumentation – conceptualization
and evaluation of a problem-based learning environment.
- Birgitta
Kopp, Katharina Schnurer, & Heinz Mandl: Collaborative
learning in virtual seminars – design principles,
evaluation data, and process-product-analyses.
- Oliver Diekamp:
Evaluating interpersonal knowledge in virtual seminars
– one important aspect for satisfaction, outcome,
and acceptance?
- Jörg
Zumbach: Instructional design for hyper-audio learning
with cellular phones.
- Helmut Niegemann:
Integrating and Conveying the Knowledge on How to Design
Multimedia Learning Environments – The Development
of an eLearning Design Assistant
Please send all
paper submissions to: mandl@edupsy.uni-muenchen.de
Biography
Heinz Mandl is full professor of Education
and Educational Psychology at the University of Munich since
1990. He was full Professor of Education at the University
of Tuebingen from 1978 to 1990, head of the Department for
Learning Research at the German Institute for Distance Education
at the University of Tuebingen form 1978 to 1990 and Director
of the German Institute for Distance Education at the University
of Tuebingen from 1988 to 1990. He was elected speaker of
the section "Educational Psychology" of the German
Association for Psychology and of the interdisciplinary
working group "Intelligent Learning Systems" (German
Association of Computer Science) from 1987 to 1991, as well
as president of the European Association for Research on
Learning and Instruction from 1989 to 1991. Since 1999 he
is a member of Societas Scientiarum Fennica (Finland). He
received an award for the implementation of virtual learning
environments to the University of Munich of the Bavarian
State (Minister of Science, Research and Art) in 2001. His
research topics concerns the analysis and support of knowledge
acquisition and the application of knowledge in schools,
universities and organizations/corporations (knowledge transfer),
self-guided and cooperative learning, net-based knowledge
communication in groups, personal and organizational knowledge
management, and the design, implementation and evaluation
of innovative learning environments with new media.
Key publications
Weinberger, A., & Mandl, H. (2003). Computer-mediated
knowledge communication. Studies in Communication Science,
81-105.
Weinberger, A., Fischer, F., & Mandl, H. (2003). Gemeinsame
Wissenskonstruktion in computervermittelter Kommunikation:
Wirkungen von Kooperationsskripts auf den Erwerb anwendungsorientierten
Wissens. Zeitschrift für Psychologie, 211 (2).
Fischer, F., Bouillion, L., Mandl, H,. & Gomez, L. (2005).
Towards a conceptual and methodological anatomy of Pasteur’s
Quadrant: Bridging theory and practice in learning environment
research. International Journal of Educational Policy,
Research & Practice.
Fischer, F., & Mandl, H. (2005). Knowledge convergence
in computer-supported collaborative learning - the role
of external representation tools. Journal of the Learning
Sciences, 14(3), 405-441.
Kopp, B., & Mandl, H. (2006). Gemeinsame Wissenskonstruktion.
In H.-W. Bierhoff & D. Frey (Eds.), Handbuch der
Sozialpsychologie und Kommunikationspsychologie (pp. 504-509).
Göttingen: Hogrefe.
Mandl, H., Ertl, B., & Kopp, B. (in press). Cooperative
learning in computer supported learning environments. In
L. Verschaffel, F. Dochy, M. Boekaerts, & S. Vosniadou
(Eds.), Instructional psychology: Past, present and
future trends. Sixteen essays in honor of Erik De Corte.
Oxford: Elsevier.
Stark, R., Gruber, H., Renkl, A., & Mandl, H. (1998).
Instructional effects in complex learning: do objective
and subjective learning outcomes converge? Learning
and Instruction, 8(2), 117-129.
Stark, R. & Mandl, H., (in press). Web-based learning
in the field of empirical research methods. Computer
& Education.
| IMPORTANT
DEADLINES |
| Submissions
due |
April
15, 2006 |
| Notification
of acceptance |
June
1, 2006 |
| Camera-ready
manuscripts due |
July
1, 2006 |
| Registration
Deadline |
July
15, 2006 |
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