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Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
1
Learning
Layers
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Basics of Paper Writing and
Publishing in TEL
Michael Derntl, Milos Kravcik, Ralf Klamma
RWTH Aachen University
Advanced Community Information Systems (ACIS)
{derntl,kravcik,klamma}@dbis.rwth-aachen.de
9th Joint European Summer School on
Technology Enhanced Learning (JTEL 2013)
May 27-31, 2013
Limassol, Cyprus
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
2
Learning
Layers
Managing Expectations
 What we will tackle today
– Paper structure
– Organizing a piece of text
– Commence mini conference for the week
 What we will tackle on Friday
– Discuss the mini conference reviews
– Elaborate a publication strategy in TEL
– Identify landmarks in your thesis field
– Mistakes to avoid
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
3
Learning
Layers
Scientific Texts –
Intentions vs Expectations
 Intentions (authors)
– Communicate with peers
– Protect intellectual property
– Gain reputation
– Get promoted
– Progress science
– Remember
– Understand
– Gain perspective
[BCWi95] [Stoc00] [Ocon05] [PEBK02]
 Expectations (readers)
– Standard form (sections,
paragraphs, sentences)
– Audience “coverage”
– Quality (relevance,
significance, soundness)
– Discussion (limitations,
embedding in existing
findings, implications, …)
– Correct language
All it takes is structure and practice!
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
4
Learning
Layers
Paper Structure
Hourglass Model [Swal93]
Introduction
Body
Conclusion
general
specific
specific
general
Section Theme
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
5
Learning
Layers
Paper Structure
“King Model” [Dern11]
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
6
Learning
Layers
Paper Structure:
Title
 Very important part – why?
 Rules of thumb:
– Fewest possible words that
adequately describe the paper
content
– Avoid waste words
– Nouns over verbs
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
7
Learning
Layers
Paper Structure:
Title
 Types of title
– Descriptive: Investigating the role of
academic conferences on shaping the
research agenda
– Declarative: Academic conferences
shape the short-term research agenda
– Interrogative: Do academic conferences
shape the research agenda?
– Compound, e.g. separated by ? or :
 Impact of title type:
– Interrogative: more downloads, fewer
cites
– Compound with colon: longer; fewer
downloads and cites
– Long titles: fewer downloads
Title
Abstract
Introduction
Body
Conclusion
References
[JaNi11]
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
8
Learning
Layers
Paper Structure:
Title
 Title checklist
– includes main topic
– unambiguous
– specific
– attractive
– short
– accurate
– adequate
– no abbreviations
– consider audience
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
9
Learning
Layers
Paper Structure:
Title
Title checklist
 includes main topic
 unambiguous
 specific
 attractive
 short
 accurate
 adequate
 no abbreviations
 consider audience
Examples titles:
1. Report of the results of an IMS Learning Design
expert workshop
2. Educational Technology and Culture: The Influence
of Ethnic and Professional Culture on Learners'
Technology Acceptance
3. A New Framework for Dynamic Adaptations and
Actions
4. CAMera for PLE
5. Go To Statement Considered Harmful
6. Users in the Driver's Seat: A New Approach to
Classifying Teaching Methods in a University
Repository
7. Considering formal assessment in learning analytics
within a PLE
8. HT06, tagging paper, taxonomy, Flickr, academic
article, to read
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
10
Learning
Layers
Paper Structure:
Abstract
 Task:
– Read the four abstracts on the
handout*
– Identify strong and weak points
– Identify criteria for good
abstracts
– Rank the four abstracts on the
ranking sheet
Title
Abstract
Introduction
Body
Conclusion
References
The abstracts are also available at
http://is.gd/jtel2013paperabstracts*
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Paper Structure:
Abstract
Types
– Informative: what content is in the paper
– Indicative / descriptive: how is the content presented
Checklist, ~1 sentence each
– Motivation
– Problem definition
– Solution
– Results
– Implications
No go
– Exact title phrase
– Copy & paste from text
– Figures or tables
– Sources (depends)
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
12
Learning
Layers
Paper Structure:
Abstract
Low detail
No references
General example
Overview
High detail
All references
Specific examples
Reproducibility
Abstract Full text
A good abstract [ElseXX]:
 Is specific and precise
 Can stand alone
 Uses little technical jargon
 Uses no or few abbreviations
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
13
Learning
Layers
4th Place: Abstract C
Motivation Problem Solution Results Implications
Y. Jiang, Z. Wu, Z. Zhan, L. Xu (2010) Proc. ICWL 2010 Workshops, pp. 195-206. © Springer Verlag
This paper proposes a strategy to personalized the Internet
searching, which would help to filter, extract and integrate
the massive information from the web based on the specific
user requirements in the hopes that it can relieve them from
the tedious process of manually selecting and retrieving the
relevant information as well as the confusion caused by the
inconsistencies of the information. The strategy proposed in
this paper has been applied to the searching of the laptop
product information and the result shows a much less
human effort involved and a much more accurate price
range.
part of the solution indicative informative
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
14
Learning
Layers Motivation Problem Solution Results Implications
Over the past years, a wide range of Technology-enhanced Learning (TeL)
systems have been developed, which have significantly influenced the field of
foreign languages teaching and learning. This is widely known as Technology-
enhanced Language Learning (TELL). On the other hand, the widespread
ownership of mobile devices and the potential benefits that they can provide to
the learning process has attracted the attention of both researchers and
practitioners in the field of TELL. This has led to the development of a new
approach for TELL, which is commonly referred to as Mobile Assisted Language
Learning (MALL). Nevertheless, although during the last years a number of MALL
systems have been developed, most of them do not concern with open access to
language learning resources and practices. As a result, neither re-use of
language learning resources not sharing of best technology-facilitated language
teaching practices among the communities of educational practitioners and
educational organizations is directly facilitated. In this paper, we propose the
Mobile2Learn Framework, which aims at providing tools and services that
facilitate open access to mobile-assisted language digital learning resources and
courses, and we present a case study from its implementation.
informative informative indicative
3rd Place: Abstract D
D.G. Sampson, P. Zervas (2012) Proc. IEEE ICALT 2012, pp. 441-445. © IEEE
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
15
Learning
Layers
2nd Place: Abstract A
Motivation Problem Solution Results Implications
Q. Bonnard, H. Verma, F. Kaplan, P. Dillenbourg (2012) Proc. EC-TEL 2012, pp. 37-50 [best full paper]. © Springer Verlag
Paper interfaces offer tremendous possibilities for geometry education
in primary schools. Existing computer interfaces designed to learn
geometry do not consider the integration of conventional school tools,
which form the part of the curriculum. Moreover, most of computer
tools are designed specifically for individual learning, some propose
group activities, but most disregard classroom-level learning, thus
impeding their adoption. We present an augmented reality based
tabletop system with interface elements made of paper that addresses
these issues. It integrates conventional geometry tools seamlessly into
the activity and it enables group and classroom-level learning. In order
to evaluate our system, we conducted an exploratory user study based
on three learning activities: classifying quadrilaterals, discovering the
protractor and describing angles. We observed how paper interfaces
can be easily adopted into the traditional classroom practices.
informative informative informative
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers Motivation Problem Solution Results Implications
A. Ogan, S. Finkelstein, E. Walker, R. Carlson, J.Cassell (2012). Proc. ITS 2012, pp. 11-21. © Springer Verlag
For 20 years, researchers have envisioned artificially intelligent learning
companions that evolve with their students as they grow and learn. However,
while communication theory suggests that positivity decreases over time in
relationships, most tutoring systems designed to build rapport with a student
remain adamantly polite, and may therefore inadvertently distance the learner
from the agent over time. We present an analysis of high school friends
interacting in a peer tutoring environment as a step towards designing agents that
sustain long-term pedagogical relationships with learners. We find that tutees and
tutors use different language behaviors: tutees express more playfulness and
face-threat, while tutors attend more to the task. This face-threat by the tutee is
associated with increased learning gains for their tutor. Additionally, a small
sample of partners who were strangers learned less than friends, and in these
dyads increased face-threat was negatively correlated with learning. Our findings
support the idea that learning companions should gradually move towards playful
face-threat as they build relationships with their students.
informative informative indicative
1st place: Abstract B
informative informative
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
17
Learning
Layers
Paper Structure:
Introduction
 “Pick up” the reader (and
reviewer!)
– Some generally known statements
– Motivating example
– Tighten thematic focus
– Mention key literature
– General background info to
support understanding
– (Indicate the structure)
 Three phases [Swal93]
– (Where?) Establish territory
– (What?) Establish a niche
– (How?) Occupy niche
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
18
Learning
Layers
Paper Structure:
Introduction – Example
Example 1: Computers & Education 59 (2): 182-195
Establish territory / common-sense statement:
Peer review is an instructional method aiming to help
students elaborate on domain-specific knowledge, while
simultaneously developing methodological review skills.
Establish niche / tighten thematic focus:
We use the term „assigned-pair protocol“ here to refer to
the class of peer review methods that involve static author-
reviewer dyads.
Occupy niche / arrive at core paper topic:
Our focus was to (a) … and (b) …
Outline paper structure
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
19
Learning
Layers
Paper Structure:
Introduction – Example
Example 2: Transactions
on Learning Technologies
5 (1): 38-51
Establish territory / common-sense statement:
The concept of Adaptive Hypermedia Systems (AHS)
has existed for years now [19], and it has amply
proved its utility particularly in education …Establish niche / tighten thematic focus:
In fact, authors have to define a domain model …
Indeed, authors have to specify an adaptation model…Indicate existing solutions, point to shortcomings:
Multiple solutions have been proposed …
These works fail to answer the third challenge …
Occupy niche, indicate leap forward
This paper addresses these three challenges …
We perceive an adaptation strategy as a combination of
elementary parts …
Outline paper structure
This paper is organized as follows…
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
20
Learning
Layers
Paper Structure:
Body
 Reports actual research
done to answer research
question/problem
 Typically several
(sub)sections
 Structure, organization, and
content depend heavily on
the type of paper
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
21
Learning
Layers
Paper Structure:
Body
 Empirical paper
– Methodology, data, material, participants,
results, (discussion)
– Goal: reproducibility
 Case study paper
– Report application of existing methods, tools,
theories
– Goal: abstraction from case
 Survey paper
– Reviewing and synthesize existing work
– Typically little original contributions
– Goal: Completeness, soundness, …
 Theory paper
– Principles, concepts or models in the field
– Goals: Originality, soundness, Relevance
 Others: methodology papers, review papers,
…
Title
Abstract
Introduction
Body
Conclusion
References
[CHI98]
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
22
Learning
Layers
Paper Structure:
Conclusion
 Discussion / Conclusion
– Counterpart to introduction
– Generalize results
– Sometimes separate (particularly
empirical papers)
– Recap of background and aims
– Summary and discussion /
implications of key findings
– Compare results to published work
– Discussion of limitations,
shortcomings, significance
– Identification of follow-up research
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
23
Learning
Layers
Paper Structure:
References
 Key rules for reference list
– List all cited references
– Do not list non-cited references
– Cite all used references
– Do not cite references you have
not read
– Make sure the most relevant
references are in the list
– Adhere to publisher’s style
guide
Title
Abstract
Introduction
Body
Conclusion
References
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
24
Learning
Layers
Paper Structure:
Additional bits
 Authors + affiliations
– Who is on the author list?
– In what order?
 Acknowledgments
– Funding source(s), Study participants, Helpers, …
 Keywords
– Free-text and/or from taxonomy
 Classification
– ACM classification
 Appendix
– Detailed tables, source codes, proofs, …
– Author bios
– …
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
25
Learning
Layers
Task
 Choose one of your recent submissions (where you
wrote the abstract!)
– If not available take your summer school submission, your
current state of the thesis, or any other piece of research
you’re involved in
 Rework your submission into a one-paragraph abstract of
max. 300 words
 Carefully choose a title
 Submit by tomorrow (Tuesday) night at
http://easychair.org/conferences/?conf=jtelpw2012
 Review your assigned abstracts by Thursday noon
 Check out the received reviews until the Friday session
Task description also available at http://is.gd/jtel2013conf
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
See you on Friday!
T H A N K S
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Mini Conference – Results
 Best overall score:
1. Ivan Srba: Encouragement of Collaborative Learning
Based on Dynamic Groups [3.6]
2. Markus Manhart: An Integrated Risk Management
Framework: Measuring the Success of Organizational
Knowledge Protection [3.4]
3. Nikola Milikic: Semantic Web and Linked Learning to
Support Workplace Learning [3.0]
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
28
Learning
Layers
Mini Conference – Best Abstract
Motivation Problem Solution Results Implications
I. Srba (2013). JTEL Paper Writing Workshop 2013 © I. Srba
In the current time of globalization, collaboration among people in virtual environments is
becoming important precondition of success. Especially, university learning provides ideal
opportunity for development of social and communication skills which are necessary for
effective collaboration. However, students can encounter various difficulties to collaborate
together while solving assigned tasks. These difficulties are obvious mainly in groups in
which the members’ characteristics do not complement each other. Therefore, we
propose a method for creating different types of study groups with aim to support effective
collaboration during learning. We concentrate on the small groups which solve short-term
well-defined problems. The method based on the Group Technology approach is able to
apply many types of students’ characteristics as inputs, e.g. interests, knowledge, but
also their collaborative characteristics. Students in the created groups are able to
communicate and collaborate with the help of several collaborative tools in a collaborative
platform called PopCorm which allows us to automatically observe dynamic aspects of
the created groups. The results of these observations provide a feedback to the method
for creating groups. In the long term experiment groups created by our method achieved
significantly better results in the comparison with the reference method (k-means
clustering). The achieved results confirm that the group formation has significant influence
on following collaboration and it is possible to support students’ collaboration by
combining their complementary characteristics.
informative informative informative informative informative
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
29
Learning
Layers
Mini Conference – Top Scores
 Other top scores:
– Title: Markus Manhart, Ivan Srba, Maka Eradze [4.00]
– Structure: Ivan Srba [4.75]
– Readability: Nikola Milikic [5.00]
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
30
Learning
Layers
Publication Strategy for TEL –
Publication Outlets
 Depends on the primary scientific discipline of your thesis
 Journals
– High reputation; completed studies; significant original contribution;
lengthy process; no interaction with key people; detailed reviews
– Typical types: long, short, survey
 Conferences
– Reputation depends on discipline; original contributions; often
smaller delta or WIP acceptable; interaction with key people; review
quality depends on conference
– Typical types: long, short, poster, demo
 Workshops
– Focused topic; work in progress, ideas, positions etc. acceptable;
interaction with key people; Reputation not the key point; review
quality depends
– Typical types: short, long, positions
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
31
Learning
Layers
Publication Strategy for TEL –
Situation
 TEL is interdisciplinary
 Many different publication venues
 Venues have different subject focus
 Different venue types (journals, conferences,
workshops, exhibits, etc.)
 Different paper types (long, short, demo, poster, …)
 Different stages / significance of available results
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
32
Learning
Layers
Publication Strategy for TEL –
Exercise
 Questions
– Which factors do/should determine your decision where to
publish a piece of (your) TEL research?
– During your PhD process, what is your publication
strategy?
 Task:
– Explore the above questions in a small group [10 mins]
– Pitch your results
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
33
Learning
Layers
Publication Strategy for TEL –
Exercise
 Results
– There are rankings and lists (S)SCI
– There are rulez
– Factors: topic of J/C; new field: C; publisher, review;
acceptance rate; open/closed access
– Message – medium – audience; external factors ($$)
– Submission date / location
– Special issue
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
34
Learning
Layers
Publication Strategy for TEL –
Venue (Pre-)Selection
 Pre-selection
– Go to scientific indexes and look for similar work  where
was it published?
– Identify the key people in your field  where do they
publish?
– Subscribe to CFP mailing lists and portals  what’s up?
 Selection depends on
– Formal criteria in your institution?
– Significance / originality of the contribution?
– Affordable risk of rejection?
– Need to engage with community?
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
35
Learning
Layers
Publication Strategy for TEL –
Publication venue decision
 Check distribution / subscription of the venue
 Check indexing of the venue
 Check citations to the venue
 Check list of relevant topics of the venue
 Consider closed access vs open access vs delayed open
access
 Formal requirements: length, deadline, funding, etc.
 Tools:
– AERCS Venue Comparison for DBLP: http://is.gd/aercscomp
– Publish or Perish: http://www.harzing.com/pop.htm
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
36
Learning
Layers
Publication Strategy for TEL –
Some Prominent Venues
See http://www.slideshare.net/mikederntl/the-european-technology-enhanced-learning-lanscape
Artificial
Intelligence
Web /
Hypermedia
HCI
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
37
Learning
Layers
Publication Strategy for TEL –
Some Prominent Venues
Conferences
 EC-TEL
 ICALT
 ICWL
 ITS, AIED
 ICCE
 CSCL
 LAK, EDM
 CATE
 T4E
 WMTE
 DIGITEL
 …
Journals
 Educ. Tech. & Soc. (ETS)
 IEEE Trans. Learn. Tech. (TLT)
 Comput. & Educ. (C&E)
 Int. J. TEL (IJTEL)
 Res. Pract. TEL (RPTEL)
 Int. J. Emerg. Tech. Learn. (IJET)
 Int. J. Dist. Educ. Tech. (IJDET)
 Int. J. Know. Learn. (IJKL)
 Brit./Austr. J. Educ. Tech. (B/AJET)
 Int. J. Artifi. Intel. in Edu. (AIEDU)
 J. Comp. Ass. Learn. (JCAL)
 Int. J. CSCL (IJCSCL)
…
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
38
Learning
Layers
The Landmarks in Your Thesis Field
 Hypothesis: If you can’t name the three most important
– Authors and their specific areas of interest,
– Journals, Conferences,
– Challenges,
– Papers that lay or have laid the path,
– Adjacent fields / communities
in your thesis field, then your PhD is doomed.
 Task
– Group around similar PhD subjects (max 5 per group)
– Discuss and shortlist the above items [20 mins]
– Pitch your results
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
39
Learning
Layers
Some Mistakes to Absolutely Avoid
Brainstorm!
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
40
Learning
Layers
Some Mistakes to Absolutely Avoid
 Resubmit a rejected paper without
– adapting to the new venue’s template
– considering comments in rejection letter
 Forget or don’t care to cite related work, particularly
– if the related work is by a potential reviewer
– if it is considered a seminal piece in the field
 Simple typos and grammar errors
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
41
Learning
Layers
References
[BCWi95] Booth, W.C., Colomb, G.G., Williams, J.M.: The Craft of Research. Univ. of
Chicago Press, Chicago (1995)
[CHI98] CHI'98 Conference Webpage: Types of papers.
http://www.acm.org/sigchi/chi98/call/papers.html#types (1998)
[Dern11] Derntl, M.: Basics of research paper writing and publishing. Unpublished
manuscript, http://is.gd/paperwriting (2011)
[ElseXX] How to write a world-class methodology paper.
http://www.paperpub.com.cn/admin/upload/file/200893103922625.pdf
[JaNi11] Jamali, H., Nikzad, M: Article title type and its relation with the number of
downloads and citation. Scientometrics (2011) 88:653–661
[Ocon05] O'Connor, M.: Writing Successfully in Science. Chapman & Hall, London (1995)
[PEBK02] Peat, J., Elliott, E., Baur, L., Keena, V.: Scientfic Writing - Easy when you know
how. BMJ Books, London (2002)
[Stoc00] Stock, W.G.: Was ist eine Publikation? Zum Problem der Einheitenbildung in der
Wissenschaftsforschung. In Fuchs-Kittowski, K., Laitko, H., Parthey, H., Umst•atter, W.,
eds.: Wissenschaftsforschung Jahrbuch 1998. Verlag f•ur Wissenschaftsforschung, Berlin
(2000) 239-282
[Swal93] Swales, J.M.: Genre analysis: English in academic and research settings.
Cambridge Univ. Press, Cambridge (1993)

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Basics of Paper Writing and Publishing in TEL (JTEL 2013)

  • 1. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 1 Learning Layers This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Basics of Paper Writing and Publishing in TEL Michael Derntl, Milos Kravcik, Ralf Klamma RWTH Aachen University Advanced Community Information Systems (ACIS) {derntl,kravcik,klamma}@dbis.rwth-aachen.de 9th Joint European Summer School on Technology Enhanced Learning (JTEL 2013) May 27-31, 2013 Limassol, Cyprus
  • 2. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 2 Learning Layers Managing Expectations  What we will tackle today – Paper structure – Organizing a piece of text – Commence mini conference for the week  What we will tackle on Friday – Discuss the mini conference reviews – Elaborate a publication strategy in TEL – Identify landmarks in your thesis field – Mistakes to avoid
  • 3. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 3 Learning Layers Scientific Texts – Intentions vs Expectations  Intentions (authors) – Communicate with peers – Protect intellectual property – Gain reputation – Get promoted – Progress science – Remember – Understand – Gain perspective [BCWi95] [Stoc00] [Ocon05] [PEBK02]  Expectations (readers) – Standard form (sections, paragraphs, sentences) – Audience “coverage” – Quality (relevance, significance, soundness) – Discussion (limitations, embedding in existing findings, implications, …) – Correct language All it takes is structure and practice!
  • 4. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 4 Learning Layers Paper Structure Hourglass Model [Swal93] Introduction Body Conclusion general specific specific general Section Theme
  • 5. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 5 Learning Layers Paper Structure “King Model” [Dern11] Title Abstract Introduction Body Conclusion References
  • 6. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 6 Learning Layers Paper Structure: Title  Very important part – why?  Rules of thumb: – Fewest possible words that adequately describe the paper content – Avoid waste words – Nouns over verbs Title Abstract Introduction Body Conclusion References
  • 7. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 7 Learning Layers Paper Structure: Title  Types of title – Descriptive: Investigating the role of academic conferences on shaping the research agenda – Declarative: Academic conferences shape the short-term research agenda – Interrogative: Do academic conferences shape the research agenda? – Compound, e.g. separated by ? or :  Impact of title type: – Interrogative: more downloads, fewer cites – Compound with colon: longer; fewer downloads and cites – Long titles: fewer downloads Title Abstract Introduction Body Conclusion References [JaNi11]
  • 8. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 8 Learning Layers Paper Structure: Title  Title checklist – includes main topic – unambiguous – specific – attractive – short – accurate – adequate – no abbreviations – consider audience Title Abstract Introduction Body Conclusion References
  • 9. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 9 Learning Layers Paper Structure: Title Title checklist  includes main topic  unambiguous  specific  attractive  short  accurate  adequate  no abbreviations  consider audience Examples titles: 1. Report of the results of an IMS Learning Design expert workshop 2. Educational Technology and Culture: The Influence of Ethnic and Professional Culture on Learners' Technology Acceptance 3. A New Framework for Dynamic Adaptations and Actions 4. CAMera for PLE 5. Go To Statement Considered Harmful 6. Users in the Driver's Seat: A New Approach to Classifying Teaching Methods in a University Repository 7. Considering formal assessment in learning analytics within a PLE 8. HT06, tagging paper, taxonomy, Flickr, academic article, to read
  • 10. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 10 Learning Layers Paper Structure: Abstract  Task: – Read the four abstracts on the handout* – Identify strong and weak points – Identify criteria for good abstracts – Rank the four abstracts on the ranking sheet Title Abstract Introduction Body Conclusion References The abstracts are also available at http://is.gd/jtel2013paperabstracts*
  • 11. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 11 Learning Layers Paper Structure: Abstract Types – Informative: what content is in the paper – Indicative / descriptive: how is the content presented Checklist, ~1 sentence each – Motivation – Problem definition – Solution – Results – Implications No go – Exact title phrase – Copy & paste from text – Figures or tables – Sources (depends) Title Abstract Introduction Body Conclusion References
  • 12. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 12 Learning Layers Paper Structure: Abstract Low detail No references General example Overview High detail All references Specific examples Reproducibility Abstract Full text A good abstract [ElseXX]:  Is specific and precise  Can stand alone  Uses little technical jargon  Uses no or few abbreviations
  • 13. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 13 Learning Layers 4th Place: Abstract C Motivation Problem Solution Results Implications Y. Jiang, Z. Wu, Z. Zhan, L. Xu (2010) Proc. ICWL 2010 Workshops, pp. 195-206. © Springer Verlag This paper proposes a strategy to personalized the Internet searching, which would help to filter, extract and integrate the massive information from the web based on the specific user requirements in the hopes that it can relieve them from the tedious process of manually selecting and retrieving the relevant information as well as the confusion caused by the inconsistencies of the information. The strategy proposed in this paper has been applied to the searching of the laptop product information and the result shows a much less human effort involved and a much more accurate price range. part of the solution indicative informative
  • 14. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 14 Learning Layers Motivation Problem Solution Results Implications Over the past years, a wide range of Technology-enhanced Learning (TeL) systems have been developed, which have significantly influenced the field of foreign languages teaching and learning. This is widely known as Technology- enhanced Language Learning (TELL). On the other hand, the widespread ownership of mobile devices and the potential benefits that they can provide to the learning process has attracted the attention of both researchers and practitioners in the field of TELL. This has led to the development of a new approach for TELL, which is commonly referred to as Mobile Assisted Language Learning (MALL). Nevertheless, although during the last years a number of MALL systems have been developed, most of them do not concern with open access to language learning resources and practices. As a result, neither re-use of language learning resources not sharing of best technology-facilitated language teaching practices among the communities of educational practitioners and educational organizations is directly facilitated. In this paper, we propose the Mobile2Learn Framework, which aims at providing tools and services that facilitate open access to mobile-assisted language digital learning resources and courses, and we present a case study from its implementation. informative informative indicative 3rd Place: Abstract D D.G. Sampson, P. Zervas (2012) Proc. IEEE ICALT 2012, pp. 441-445. © IEEE
  • 15. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 15 Learning Layers 2nd Place: Abstract A Motivation Problem Solution Results Implications Q. Bonnard, H. Verma, F. Kaplan, P. Dillenbourg (2012) Proc. EC-TEL 2012, pp. 37-50 [best full paper]. © Springer Verlag Paper interfaces offer tremendous possibilities for geometry education in primary schools. Existing computer interfaces designed to learn geometry do not consider the integration of conventional school tools, which form the part of the curriculum. Moreover, most of computer tools are designed specifically for individual learning, some propose group activities, but most disregard classroom-level learning, thus impeding their adoption. We present an augmented reality based tabletop system with interface elements made of paper that addresses these issues. It integrates conventional geometry tools seamlessly into the activity and it enables group and classroom-level learning. In order to evaluate our system, we conducted an exploratory user study based on three learning activities: classifying quadrilaterals, discovering the protractor and describing angles. We observed how paper interfaces can be easily adopted into the traditional classroom practices. informative informative informative
  • 16. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 16 Learning Layers Motivation Problem Solution Results Implications A. Ogan, S. Finkelstein, E. Walker, R. Carlson, J.Cassell (2012). Proc. ITS 2012, pp. 11-21. © Springer Verlag For 20 years, researchers have envisioned artificially intelligent learning companions that evolve with their students as they grow and learn. However, while communication theory suggests that positivity decreases over time in relationships, most tutoring systems designed to build rapport with a student remain adamantly polite, and may therefore inadvertently distance the learner from the agent over time. We present an analysis of high school friends interacting in a peer tutoring environment as a step towards designing agents that sustain long-term pedagogical relationships with learners. We find that tutees and tutors use different language behaviors: tutees express more playfulness and face-threat, while tutors attend more to the task. This face-threat by the tutee is associated with increased learning gains for their tutor. Additionally, a small sample of partners who were strangers learned less than friends, and in these dyads increased face-threat was negatively correlated with learning. Our findings support the idea that learning companions should gradually move towards playful face-threat as they build relationships with their students. informative informative indicative 1st place: Abstract B informative informative
  • 17. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 17 Learning Layers Paper Structure: Introduction  “Pick up” the reader (and reviewer!) – Some generally known statements – Motivating example – Tighten thematic focus – Mention key literature – General background info to support understanding – (Indicate the structure)  Three phases [Swal93] – (Where?) Establish territory – (What?) Establish a niche – (How?) Occupy niche Title Abstract Introduction Body Conclusion References
  • 18. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 18 Learning Layers Paper Structure: Introduction – Example Example 1: Computers & Education 59 (2): 182-195 Establish territory / common-sense statement: Peer review is an instructional method aiming to help students elaborate on domain-specific knowledge, while simultaneously developing methodological review skills. Establish niche / tighten thematic focus: We use the term „assigned-pair protocol“ here to refer to the class of peer review methods that involve static author- reviewer dyads. Occupy niche / arrive at core paper topic: Our focus was to (a) … and (b) … Outline paper structure
  • 19. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 19 Learning Layers Paper Structure: Introduction – Example Example 2: Transactions on Learning Technologies 5 (1): 38-51 Establish territory / common-sense statement: The concept of Adaptive Hypermedia Systems (AHS) has existed for years now [19], and it has amply proved its utility particularly in education …Establish niche / tighten thematic focus: In fact, authors have to define a domain model … Indeed, authors have to specify an adaptation model…Indicate existing solutions, point to shortcomings: Multiple solutions have been proposed … These works fail to answer the third challenge … Occupy niche, indicate leap forward This paper addresses these three challenges … We perceive an adaptation strategy as a combination of elementary parts … Outline paper structure This paper is organized as follows…
  • 20. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 20 Learning Layers Paper Structure: Body  Reports actual research done to answer research question/problem  Typically several (sub)sections  Structure, organization, and content depend heavily on the type of paper Title Abstract Introduction Body Conclusion References
  • 21. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 21 Learning Layers Paper Structure: Body  Empirical paper – Methodology, data, material, participants, results, (discussion) – Goal: reproducibility  Case study paper – Report application of existing methods, tools, theories – Goal: abstraction from case  Survey paper – Reviewing and synthesize existing work – Typically little original contributions – Goal: Completeness, soundness, …  Theory paper – Principles, concepts or models in the field – Goals: Originality, soundness, Relevance  Others: methodology papers, review papers, … Title Abstract Introduction Body Conclusion References [CHI98]
  • 22. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 22 Learning Layers Paper Structure: Conclusion  Discussion / Conclusion – Counterpart to introduction – Generalize results – Sometimes separate (particularly empirical papers) – Recap of background and aims – Summary and discussion / implications of key findings – Compare results to published work – Discussion of limitations, shortcomings, significance – Identification of follow-up research Title Abstract Introduction Body Conclusion References
  • 23. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 23 Learning Layers Paper Structure: References  Key rules for reference list – List all cited references – Do not list non-cited references – Cite all used references – Do not cite references you have not read – Make sure the most relevant references are in the list – Adhere to publisher’s style guide Title Abstract Introduction Body Conclusion References
  • 24. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 24 Learning Layers Paper Structure: Additional bits  Authors + affiliations – Who is on the author list? – In what order?  Acknowledgments – Funding source(s), Study participants, Helpers, …  Keywords – Free-text and/or from taxonomy  Classification – ACM classification  Appendix – Detailed tables, source codes, proofs, … – Author bios – …
  • 25. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 25 Learning Layers Task  Choose one of your recent submissions (where you wrote the abstract!) – If not available take your summer school submission, your current state of the thesis, or any other piece of research you’re involved in  Rework your submission into a one-paragraph abstract of max. 300 words  Carefully choose a title  Submit by tomorrow (Tuesday) night at http://easychair.org/conferences/?conf=jtelpw2012  Review your assigned abstracts by Thursday noon  Check out the received reviews until the Friday session Task description also available at http://is.gd/jtel2013conf
  • 26. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 26 Learning Layers See you on Friday! T H A N K S
  • 27. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 27 Learning Layers Mini Conference – Results  Best overall score: 1. Ivan Srba: Encouragement of Collaborative Learning Based on Dynamic Groups [3.6] 2. Markus Manhart: An Integrated Risk Management Framework: Measuring the Success of Organizational Knowledge Protection [3.4] 3. Nikola Milikic: Semantic Web and Linked Learning to Support Workplace Learning [3.0]
  • 28. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 28 Learning Layers Mini Conference – Best Abstract Motivation Problem Solution Results Implications I. Srba (2013). JTEL Paper Writing Workshop 2013 © I. Srba In the current time of globalization, collaboration among people in virtual environments is becoming important precondition of success. Especially, university learning provides ideal opportunity for development of social and communication skills which are necessary for effective collaboration. However, students can encounter various difficulties to collaborate together while solving assigned tasks. These difficulties are obvious mainly in groups in which the members’ characteristics do not complement each other. Therefore, we propose a method for creating different types of study groups with aim to support effective collaboration during learning. We concentrate on the small groups which solve short-term well-defined problems. The method based on the Group Technology approach is able to apply many types of students’ characteristics as inputs, e.g. interests, knowledge, but also their collaborative characteristics. Students in the created groups are able to communicate and collaborate with the help of several collaborative tools in a collaborative platform called PopCorm which allows us to automatically observe dynamic aspects of the created groups. The results of these observations provide a feedback to the method for creating groups. In the long term experiment groups created by our method achieved significantly better results in the comparison with the reference method (k-means clustering). The achieved results confirm that the group formation has significant influence on following collaboration and it is possible to support students’ collaboration by combining their complementary characteristics. informative informative informative informative informative
  • 29. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 29 Learning Layers Mini Conference – Top Scores  Other top scores: – Title: Markus Manhart, Ivan Srba, Maka Eradze [4.00] – Structure: Ivan Srba [4.75] – Readability: Nikola Milikic [5.00]
  • 30. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 30 Learning Layers Publication Strategy for TEL – Publication Outlets  Depends on the primary scientific discipline of your thesis  Journals – High reputation; completed studies; significant original contribution; lengthy process; no interaction with key people; detailed reviews – Typical types: long, short, survey  Conferences – Reputation depends on discipline; original contributions; often smaller delta or WIP acceptable; interaction with key people; review quality depends on conference – Typical types: long, short, poster, demo  Workshops – Focused topic; work in progress, ideas, positions etc. acceptable; interaction with key people; Reputation not the key point; review quality depends – Typical types: short, long, positions
  • 31. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 31 Learning Layers Publication Strategy for TEL – Situation  TEL is interdisciplinary  Many different publication venues  Venues have different subject focus  Different venue types (journals, conferences, workshops, exhibits, etc.)  Different paper types (long, short, demo, poster, …)  Different stages / significance of available results
  • 32. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 32 Learning Layers Publication Strategy for TEL – Exercise  Questions – Which factors do/should determine your decision where to publish a piece of (your) TEL research? – During your PhD process, what is your publication strategy?  Task: – Explore the above questions in a small group [10 mins] – Pitch your results
  • 33. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 33 Learning Layers Publication Strategy for TEL – Exercise  Results – There are rankings and lists (S)SCI – There are rulez – Factors: topic of J/C; new field: C; publisher, review; acceptance rate; open/closed access – Message – medium – audience; external factors ($$) – Submission date / location – Special issue
  • 34. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 34 Learning Layers Publication Strategy for TEL – Venue (Pre-)Selection  Pre-selection – Go to scientific indexes and look for similar work  where was it published? – Identify the key people in your field  where do they publish? – Subscribe to CFP mailing lists and portals  what’s up?  Selection depends on – Formal criteria in your institution? – Significance / originality of the contribution? – Affordable risk of rejection? – Need to engage with community?
  • 35. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 35 Learning Layers Publication Strategy for TEL – Publication venue decision  Check distribution / subscription of the venue  Check indexing of the venue  Check citations to the venue  Check list of relevant topics of the venue  Consider closed access vs open access vs delayed open access  Formal requirements: length, deadline, funding, etc.  Tools: – AERCS Venue Comparison for DBLP: http://is.gd/aercscomp – Publish or Perish: http://www.harzing.com/pop.htm
  • 36. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 36 Learning Layers Publication Strategy for TEL – Some Prominent Venues See http://www.slideshare.net/mikederntl/the-european-technology-enhanced-learning-lanscape Artificial Intelligence Web / Hypermedia HCI
  • 37. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 37 Learning Layers Publication Strategy for TEL – Some Prominent Venues Conferences  EC-TEL  ICALT  ICWL  ITS, AIED  ICCE  CSCL  LAK, EDM  CATE  T4E  WMTE  DIGITEL  … Journals  Educ. Tech. & Soc. (ETS)  IEEE Trans. Learn. Tech. (TLT)  Comput. & Educ. (C&E)  Int. J. TEL (IJTEL)  Res. Pract. TEL (RPTEL)  Int. J. Emerg. Tech. Learn. (IJET)  Int. J. Dist. Educ. Tech. (IJDET)  Int. J. Know. Learn. (IJKL)  Brit./Austr. J. Educ. Tech. (B/AJET)  Int. J. Artifi. Intel. in Edu. (AIEDU)  J. Comp. Ass. Learn. (JCAL)  Int. J. CSCL (IJCSCL) …
  • 38. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 38 Learning Layers The Landmarks in Your Thesis Field  Hypothesis: If you can’t name the three most important – Authors and their specific areas of interest, – Journals, Conferences, – Challenges, – Papers that lay or have laid the path, – Adjacent fields / communities in your thesis field, then your PhD is doomed.  Task – Group around similar PhD subjects (max 5 per group) – Discuss and shortlist the above items [20 mins] – Pitch your results
  • 39. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 39 Learning Layers Some Mistakes to Absolutely Avoid Brainstorm!
  • 40. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 40 Learning Layers Some Mistakes to Absolutely Avoid  Resubmit a rejected paper without – adapting to the new venue’s template – considering comments in rejection letter  Forget or don’t care to cite related work, particularly – if the related work is by a potential reviewer – if it is considered a seminal piece in the field  Simple typos and grammar errors
  • 41. Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke 41 Learning Layers References [BCWi95] Booth, W.C., Colomb, G.G., Williams, J.M.: The Craft of Research. Univ. of Chicago Press, Chicago (1995) [CHI98] CHI'98 Conference Webpage: Types of papers. http://www.acm.org/sigchi/chi98/call/papers.html#types (1998) [Dern11] Derntl, M.: Basics of research paper writing and publishing. Unpublished manuscript, http://is.gd/paperwriting (2011) [ElseXX] How to write a world-class methodology paper. http://www.paperpub.com.cn/admin/upload/file/200893103922625.pdf [JaNi11] Jamali, H., Nikzad, M: Article title type and its relation with the number of downloads and citation. Scientometrics (2011) 88:653–661 [Ocon05] O'Connor, M.: Writing Successfully in Science. Chapman & Hall, London (1995) [PEBK02] Peat, J., Elliott, E., Baur, L., Keena, V.: Scientfic Writing - Easy when you know how. BMJ Books, London (2002) [Stoc00] Stock, W.G.: Was ist eine Publikation? Zum Problem der Einheitenbildung in der Wissenschaftsforschung. In Fuchs-Kittowski, K., Laitko, H., Parthey, H., Umst•atter, W., eds.: Wissenschaftsforschung Jahrbuch 1998. Verlag f•ur Wissenschaftsforschung, Berlin (2000) 239-282 [Swal93] Swales, J.M.: Genre analysis: English in academic and research settings. Cambridge Univ. Press, Cambridge (1993)