Towards a Research-informed Technology-Driven Innovation and Transformation in Higher Education

Invited Research Seminar
Room 204, Runme Shaw Building, HKU
Faculty of Education, The University of Hong Kong
14 November 2016
Towards a Research-informed Technology-Driven
Innovation and Transformation in Higher
Education
Professor Demetrios G. Sampson
PhD(ElectEng) (Essex), PgDip (Essex), BEng/MEng(Elec) (DUTH), CEng
Golden Core Member, IEEE Computer Society
Editor-In-Chief, Educational Technology & Society Journal
Chair IEEE Technical Committee on Learning Technologies
Professor, Learning Technologies | School of Education
Curtin University, Australia

Overview
• Introduction
• The Changing Landscape of Higher Education
• The Role of Digital Technologies
• Key Challenges for Technology-Enhanced Teaching,
Learning and Assessment in Higher Education
• Research Strands
• Methods and Tools for Open Access to Educational Resources and
Practices
• Context-aware Adaptive and Personalised (Mobile) Learning Systems
• Towards a Research-informed Technology-Driven
Innovation and Transformation in Higher Education
• Educational Data Analytics

School of Education
Offers programs that embrace innovation in education theory and
practice since 1975, with the aim of preparing highly competent
graduates who can teach and work in a fast-changing world
The main provider of Teacher Education in Western Australia: 45%
WA school graduates 1000 new UG students annually
The dominant online provider of Teacher Education in Australia,
with over 2000 students through Open Universities Australia.
Recognised within Top 100 Worldwide in the subject of Education
by QS World University Rankings by Subject 2015/16

Joined School of Education @ Curtin University
October 2015

20 years in Learning Technologies and
Technology Enhanced Learning
• 17 years in Academia and Research: School of Education, Curtin University, Western Australia / Dept of
Digital Systems, University of Piraeus, Greece / Information Technologies Institute, Centre of Research and
Technology - Hellas Greece (since January 2000)
• 3 in Industry: Research & Innovation Director/Consultant in Educational Technology industry and Greek
Ministry of Education (September 1996 – December 1999)
• Ph.D. in Electronic Systems Engineering , University of Essex, UK (1995)
• Diploma in Electrical Engineering , Democritus University of Thrace, Greece (1989)
• 67 Research & Innovation projects with external funding at the range of 15 Million€
• 390 research publications in scientific books, journals and conferences with at least 3740 citations and h-index 28
according to Scholar Google (November 2016) [40% during the past 5 years]
• 9 times Best Paper Award in International Conferences in LT and TeL
• Keynote/Invited Speaker in 72 International/National Conferences [60% during the past 5 years]
• Supervised 150 honours and postgraduate students to successful completion.
• Chair of the IEEE Computer Society Technical Committee on Learning Technologies (2008-2011, 2016-today)
• Editor-in-Chief of the Educational Technology and Society Journal (listed #4 in Scholar Google Top
publications of Educational Technology (https://goo.gl/kHa6vk);
• Founding Board Member / Associate Editor and then Steering Committee Member of the IEEE
Transactions on Learning Technologies (listed #11 in the same Scholar Google list)

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The Changing Landscape
of Higher Education

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The Changing Landscape of Higher Education
Higher Education Institutions around the world are
challenged with incremental or disruptive transformations to
the way that individuals, groups and organizations “learn”
and the way to “assess” learning in 21st Century
Objectives: From acquiring new “knowledge” to develop new
and relevant “competences” and build individual “identities”
Methods: From “classroom” based teaching to “context-
aware” personalized learning
Assessment: From “life-long” degrees and certifications to
“on-demand” and “in-context” accreditation of qualifications

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The Role of Digital
Technologies

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The Role of Digital Technologies
• enabler for incremental or disruptive
transformations
• supports higher education institutions complexity
leadership
• allows for innovative experiences, processes,
products, services, that would not be possible
without the use of digital technologies
through exploiting data-driven approaches based on evidence
and data collected from the otherwise “black boxes”

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Key Challenges
for
Technology-Enhanced
Teaching , Learning and
Assessment
in
Higher Education

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Higher Education Institutions as Social Complex
Adaptive Systems
Higher Education Institutions are social Complex Adaptive Systems
encapsulating a wide range of co-existing actors and elements (leaders,
academics, tutors, students, graduates as well as infrastructure, premises,
etc) which co-exist, interplay and constantly evolve at different layers of
the system, influenced by the actions of other agents:
• micro layer, which is related to the learning and assessment practices
occurring either within the physical educational organization premises
or beyond them;
• meso layer, which is related to the teaching practices (i.e., educational
designs) and curriculum planning;
• macro layer, which is related to the organizational ‘business
intelligence’ development processes of the HEI
• mega layer, which is related to the external environment (legislation,
policies, regulations, competition)

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Students Personalised
Learning Experiences, Support & Feedback,
Recognition of Achievements
Teachers Data-Driven Evidence-Based
Reflective Teaching Practice
Schools & Faculties Transform Curriculum: Orchestrate Teaching,
Learning and Assessment in various settings on-
campus (lecture halls, labs, reflection / collaboration
spaces, library), off-campus (professional
placements), online
Universities Transform and Maintain new Physical and Virtual
Teaching and Learning Spaces: University Campus &
Facilities
Graduates Individual Professional Identity and Competence
Profiles for Employability but also Creativity and
Entrepreneurship
Industry Knowledge and Competence Alliances with Higher
Education Institutions
Society Digital Citizenship

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Research Strands
(1999-today)
Methods and Tools for Open Access to
Educational Resources and Practices
Context-aware Adaptive and Personalised
(Mobile) Learning Systems

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Methods and Tools
for
Open Access
to
Educational Resources and
Practices

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Educational
Content
Learning
Activities
Educational /
Training Courses
Educational /
Training
Programmes
A Hierarchical Framework for
Open Access to Learning and Education
Educational
Metadata (EM)
Learning
Objects
Hierarchical
Elements
LAs Design and
Delivery
Educational
Content
Course Design
and Delivery
Learning
Activities
BL / Virtual
Classrooms
Educational
Courses

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Tools for Supporting the
Hierarchical Framework for
Open Access to
Learning and Education

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1st Layer : Educational Content (1/2)
ASK Learning Objects Metadata
Authoring Toolkit 2.0 (ASK-LOM-AT
2.0)
ASK Learning Objects Metadata Authoring
Toolkit (ASK-LOM-AT 1.0)
ASK Learning Objects Metadata
Application Profiling (ASK-LOM-AP)
ASK Learning Objects Social Tagging
(ASK-LOST 2.0)

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1st Layer : Educational Content (2/2)
eAccess2Learn Web Repository Mobile2Learn Web Repository
Inclusive Learning Web Repository

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2nd & 3rd Layer : Lessons & Courses (1/3)
ASK Learning Designer Toolkit 2.0
(ASK-LDT 2.0)
ASK Learning Designer Toolkit 1.0
(ASK-LDT 1.0)
ISE Lesson Authoring Tool
ASK-Course Description Metadata-European
Credit Transfer System (ASK-CDM-ECTS)

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ASK Mobile Learning Design Player ASK Mobile SCORM Player
ISE Lesson Delivery Tool

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COSMOS Web Repository OpenScienceResources Web Repository
OpenDiscoverySpace Web Repository Inspiring Science Education Web Repository

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4th Layer : 2D & 3D Virtual Classrooms
Mobile Moodle SLOODLE

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Key Research Publications
Frameworks for Open Access to Learning and Education
• D. Sampson and P. Zervas, “A Hierarchical Framework for Open Access to Learning and
Education”, International Journal of Web-based Communities, Volume 10, Issue 1, pp. 25-
51, January 2014
• D. Sampson and P. Zervas, “Supporting Accessible Technology-Enhanced Training: The
eAccess2Learn Framework”, IEEE Transactions on Learning Technologies Volume 4,
Issue 4, pp. 353-354, October 2011
• D. Sampson and P. Karampiperis, “Towards Next Generation Activity-Based Learning
Systems”, International Journal on E-Learning, Volume 5, Issue 1, pp 129-150,
January 2006
• D. Sampson, “Towards Web Service-based Educational Systems”, International Journal
on Interactive Technology and Smart Education , Special Issue on On-Line e-Learning
Communities, Volume 2, Issue 4, pp. 235-246, November 2005

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Learning Design Tools and Methods
• S. Sergis, E. Papageorgiou, P. Zervas, D. Sampson and L. Pelliccione, “Evaluation of Lesson Plan Authoring Tools
based on an Educational Design Representation Model for Lesson Plans”, in Ann Marcus-Quinn and Triona
Hourigan (Eds.), Handbook for Digital Learning in K-12 Schools, Chapter 11, pp XXX-XXX, ISBN 978-3-319-33808-
8, 2017
• P. Zervas and D. Sampson, “Supporting Mobile Access to Online Courses: The ASK Mobile SCORM Player and the
ASK Mobile LD Player”, in Mohammed Ally and Avgoustos Tsinakos (Eds.), Mobile learning development for
flexible learning, ISBN 978-1-894975-64-3, Chapter 10, pp. 125-140, Commonwealth of Learning and Athabasca
University Press, 2014
• D. Sampson, P. Zervas, and S. Sotiriou, "Sharing of Open Science Education Resources and Educational Practices
in Europe", in Rory McGreal, Wanjira Kinuthia and Stewart Marshall (Eds.), Open Educational Resources:
Innovation, Research and Practice, ISBN 978-1-894975-62-9, Chapter 8, pp. 105-124, Commonwealth of Learning
and Athabasca University, 2013
• D. Sampson, P. Zervas and S. Sotiriou, “COSMOS: A Web-based Repository of Learning Designs for Science
Education”, Advanced Science Letters, Special Issue: Technology-Enhanced Science Education, American Scientific
Publishers, , Volume 4, Issue 11/12, pp. 3366-3374, November 2011
• D. Sampson, P. Karampiperis and P. Zervas, “ASK-LDT: A Web-Based Learning Scenarios Authoring Environment
based on IMS Learning Design”, International Journal on Advanced Technology for Learning ACTA Press, Volume 2,
Issue 4, pp. 207-215, October 2005

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Digital Educational Resources and Metadata: Tools and Methods
• P.Zervas, D.G. Sampson and L. Pelliccione, "Studying Tag Vocabulary Behaviour of Social Tagging Systems in Learning Object Repositories",
Smart Learning Environments, Springer, 3:14, July 2016
• P. Zervas and D. Sampson, “The effect of users' tagging motivation on the enlargement of digital educational resources metadata”,
Computers in Human Behavior, Elsevier, Volume 32, pp. 292-300, March 2014
• D. Sampson, P. Zervas and A. Kalamatianos, "ASK-LOST 2.0: A Web-based Tool for Social Tagging Digital Educational Resources in
Learning Environments", in Bebo White, Irwin King, and Philip Tsang, (Eds.), Social Media Tools and Platforms in Learning Environments:
Present and Future (ISBN 978-3-642-20391-6), Chapter 23, pp. 387-435, Springer, 2011
• P. Zervas, E. Tsourlidaki, Y. Cao, S. Sotiriou, D. G. Sampson and N. Faltin, “A Study on the use of a Metadata Schema for Characterizing
School Education STEM Lessons Plans by STEM Teachers”, Journal of Computing in Higher Education, Springer, Volume 28, Number 3,
December 2016
• P. Zervas, S. Sergis, D. Sampson and S. Fyskilis, “Towards Competence-Based Learning Design Driven Remote and Virtual Labs
Recommendations for Science Teachers”, Technology, Knowledge and Learning, Springer, Volume 20, Issue 2, pp 185-199, July 2015
• P. Zervas, A. Kalamatianos, E. Tsourlidaki, S. Sotiriou and D. Sampson, “A Method for Organizing Open Access to Virtual and Remote Labs”,
in D. Sampson, D. Ifenthaler, J. M. Spector and P. Isaias, (Eds.), Digital Systems for Open Access to Formal and Informal Learning, Chapter 15,
pp 235-255, Springer, ISBN 978-3-319-02263-5, 2014
• P. Zervas and D. Sampson, “Facilitating Teachers’ Reuse of Mobile Assisted Language Learning Resources using Educational Metadata”,
IEEE Transactions on Learning Technologies, Volume 7, Issue 1, pp. 6-16, March 2014
• P. Zervas, A. Kalamatianos and D. Sampson, “A Systematic Analysis of Metadata Application Profiles of Learning Object Repositories in
Europe”, in R. Huang, Kinshuk and N.S.Chen (Eds.), New Developments in Technology Enhanced Learning: Concept, Research and Best
Practices, Chapter 5, pp 75-91, Springer, ISBN 978-3-642-38291-8, 2014
• N. Athanasiadis, S. Sotiriou, P. Zervas and D. G. Sampson, “The Open Discovery Space Portal: a Socially-Powered and Open Federated
Infrastructure”, in D. Sampson, D. Ifenthaler, J. M. Spector and P. Isaias, (Eds.), Digital Systems for Open Access to Formal and Informal
Learning, Chapter 2, pp 11-23, Springer, ISBN 978-3-319-02263-5, 2014
• P. Zervas, V. Kardaras, S. Baldiris Navarro, J. Bacca, C. Avila, Y. Politis, Deveril, J. Treviranus, R. Fabregat, L. Goodman and D. G. Sampson,
“Supporting Open Access to Teaching and Learning of People with Disabilities,”, in D. Sampson, D. Ifenthaler, J. M. Spector and P. Isaias,
(Eds.), Digital Systems for Open Access to Formal and Informal Learning, Chapter 5, pp 58-68, Springer, ISBN 978-3-319-02263-5, 2014

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Digital Educational Resources and Metadata: Tools and Methods
• P. Zervas, C. Alifragkis and D. Sampson, “A Quantitative Analysis of Learning Object Repositories as Knowledge Management Systems”, Knowledge Management
& e-Learning Journal, Volume 6, Issue 2, pp 156-170, June 2014
• D. Sampson and P. Zervas, “Learning Object Repositories as Knowledge Management Systems”, Knowledge Management & e-Learning Journal, Volume 5, Issue
2, pp. 117-136, June 2013
• D. Sampson and P. Zervas, “Supporting Open Access to European Higher Education Courses: The ASK-CDM-ECTS Tool”, Campus-Wide Information Systems,
Emerald, Volume 30, Issue 1 , pp. 44-62, January 2013
• D. Sampson, P. Zervas and G. Chloros, “Supporting the Process of Developing and Managing LOM Application Profiles: The ASK-LOM-AP Tool”, IEEE
Transactions on Learning Technologies , Volume 5, Issue 3, pp. 238-250, September 2012
• D. Sampson, P. Zervas and G. Chloros, "Towards Community-based Open Educational Resources: Tools for Developing and Managing IEEE LOM Application
Profiles", in Athanassios Jimoyiannis (Ed.), Research on e-learning and ICT in Education (ISBN 978-1-4614-1083-6), pp. 283-294, Springer, 2012
• D. Sampson, P. Zervas and S. Sotiriou, “Science Education Resources supported with Educational Metadata: The Case of the OpenScienceResources Web
Repository”, Advanced Science Letters, Special Issue: Technology-Enhanced Science Education, American Scientific Publishers, , Volume 4, Issue 11/12, pp. 3353-
3361, November 2011
• F. Kokoras, D. Sampson and I. Vlahavas, "A Knowledge-based Approach to Educational Metadata Use", D. Sampson and P. Zervas, “A Workflow-based Proposal
for Learning Objects Lifecycle and Reuse: Towards Evaluating Cost Effective Reuse”, Educational Technology & Society Journal, Volume 14, Issue 4, pp. 64-76,
October 2011
• D. Sampson, “Competence-related Metadata for Educational Resources that Support Lifelong Competence Development Programmes”, Educational Technology
& Society (ISSN 1436-4522), Volume 12, Issue 4, pp. 149-159, October 2009
• D. Sampson, P. Karampiperis and D. Fytros, “Developing a Common Metadata Model for Competencies Description”, Interactive Learning Environment, Special
Issue on Learning Networks for Lifelong Competence Development, Rutledge, Volume 15, Issue 2, pp. 137-150, August 2007
• D. Sampson, “Enhancing Educational Portals through capturing collective knowledge”, International Journal of Web-based Communities, Inderscience
Pub., Volume 2, Issue 3, pp. 260-272, September 2006
• P. Karampiperis and D. Sampson, “Supporting Accessible Hypermedia in Web-based Educational Systems: Defining an Accessibility Application Profile for
Learning Resources”, The New Review of Hypermedia and Multimedia, Special Issue on Accessible Hypermedia and Multimedia, Taylor & Francis, Volume 10,
Issue 2, pp. 181-197, December 2004
• N. Vassiliadis, F. Kokoras, I. Vlahavas and D. Sampson, "An Intelligent Educational Metadata Repository", in Cornelius Leondes (Ed.), Intelligent Systems:
Technology and Applications, Databases and Learning Systems (ISBN 0849311217), vol. 4, Chapter 12, pp. 297-337, CRC Press, 2003
• D. Sampson, V. Papaioannou and P. Karadimitriou, “EM2: an Environment for Editing and Management of Educational Metadata”, Educational Technology &
Society Journal Special Issue on Innovations in Learning Technologies, Volume 5, Issue 4, pp. 98-115, October 2002

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Context-aware
Adaptive and Personalised
(Mobile) Learning Systems

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The Problem
Individual
Learners
Adaptive
Learning Experiences
(including monitoring of
progress, feedback,
scaffolding)
Groups of Personalised
Recognition of
Achievements (including
performance in certain
tasks, building
competences and
professional identity
profiles)

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The Framework
Orchestration
Learning Activities Assessment Activities
On-Campus Off-Campus Virtual & Online
Teaching Halls, Flipped
Classrooms, Labs,
Collaboration / Reflection
Rooms, Self-Study Spaces,
Library
Professional Placements,
Informal Settings
(Museums, etc)
Simulations, Virtual and
Remote Labs, Digital
Games, 3D Virtual Worlds
Physical Interactions Online / Virtual Interactions
Resources, Tools, People, Environments

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Core Elements / Definitions
ADAPTIVITY PERSONALISATION CONTEXT-AWARE
Automatic changes to
System Behavior based
on the analysis of the
“context of use”
context-driven
(including user, but
consider more)
Customisation of a
System’s features either
automatically (as part of
“adaptivity”) or manually
(“by the user”)
user-driven
Context of Learning:
Learners’ (profile) –
Learning Environment
(conditions)
Types of Adaptations
Educational
Resources
Learning Activities Learning
Environment

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Methods & Tools
Context-Aware Systems
Extract – Interpret - Use
Contextual Information
Adapt
Behavior - Functionalities
Modeling Teaching and
Learning Context
Tools for Context-Aware
Authoring and Delivery
Systems
Collect and Analyse
(Educational) Data
Rules at the Design –
Decisions at the Runtime
Design – Build – Validate
Adaptation Engines
(Intelligent) Systems for
Recommendations

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A prototype Context-Aware Mobile Learning System for
Delivering Adaptive Learning Activities
• A client side application for smartphones and
tablets with Android operating system.
• The tool is able to capture during run-time
learner’s contextual elements instances and
evaluates them by parsing properties, global
elements and conditions of the IMS-LD Level B
specification
S. Gomez, P. Zervas, D. Sampson and R. Fabregat, “Context-Aware Adaptive and Personalized Mobile
Learning Delivery Supported by UoLmP“, King Saud University – Computer and Information Systems
Journal, Elsevier, Volume 26, Issue 1, pp. 47-61, January 2014

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• S. Gomez, P. Zervas, D. Sampson and R. Fabregat, “Context-Aware Adaptive and Personalized Mobile Learning
Delivery Supported by UoLmP“, King Saud University – Computer and Information Systems Journal, Elsevier,
Volume 26, Issue 1, pp. 47-61, January 2014
• D. Sampson and P. Zervas, “Context-Aware Adaptive and Personalised Mobile Learning Systems”, in D. Sampson,
D. Ifenthaler, P. Isaias, and J. M. Spector (Eds), "Ubiquitous and Mobile Informal and Formal Learning in Digital
Age", Chapter 1, pp. 3-17, ISBN 978-1-4614-3328-6, Springer, 2013
• P. Zervas, D. Sampson, S. Gomez, and R. Fabregat, "Designing Tools for Context-Aware Mobile Educational Content
Adaptation", in D. Sampson, D. Ifenthaler, P. Isaias, and J. M. Spector (Eds), "Ubiquitous and Mobile Informal and
Formal Learning in Digital Age", Chapter 3, pp. 37-50, ISBN 978-1-4614-3328-6 Springer, 2013
• P. Karampiperis and D. Sampson, "Performance Evaluation of Decision-based Content Selection Approaches in
Adaptive Educational Hypermedia Systems", in Alejandro P. Ayala (Ed.), Intelligent and Adaptive Educational-
Learning Systems: Achievements and Trends, Chapter 7, pp 161-182, 978-3-642-30170-4 Springer, 2013
• D. Sampson and P. Karampiperis, "Decision Models in the Design of Adaptive Educational Hypermedia Systems",
in Sabine Graf, Fuhua Lin, Kinshuk and Rory McGreal (Eds), Intelligent and Adaptive Learning Systems: Technology
Enhanced Support for Learners and Teachers (ISBN 9781609608422), chapter 1, pp. 1-18, IGI Global, 2011
• P. Karampiperis, T. Lin, D. Sampson and Kinshuk, “Adaptive Cognitive-based Selection of Learning Objects”,
International Journal on Innovations in Education and Teaching International, Taylor & Francis, Volume 43, Issue
2, pp. 121-135, May 2006
• P. Karampiperis and D. Sampson, “Adaptive Learning Resources Sequencing in Educational Hypermedia
Systems”, Educational Technology & Society Journal, Volume 8, Issue 4, pp. 128-147, October 2005
• P. Karampiperis and D. Sampson, "Automatic Learning Object Selection and Sequencing in Web-Based Intelligent
Learning Systems", in Zongmin Ma (Ed.), Web-Based Intelligent e-Learning Systems: Technologies and Applications
(ISBN 1-59140-729-3), Chapter III, pp. 56-71, Information Science Publishing, 2005

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• P. Karampiperis and D. Sampson, “Adaptive Learning Object Selection in Intelligent Learning Systems”, Journal of
Interactive Learning Research, Special Issue on Computational Intelligence in Web-Based Education AACE Press, Volume 15,
Issue 4, pp. 389-409, November 2004
• N. Manouselis, C. Karagiannidis and D. Sampson, “Layered Evaluation in Recommender Systems: A Retrospective
Assessment”, Journal e-Learning and Knowledge Society, Volume 10, Issue 1, pp 109-127, January 2014
• P. Brusilovsky, C. Karagiannidis and D. Sampson, “Layered Evaluation of Adaptive Learning Systems”, International Journal
of Continuing Engineering Education and Lifelong Learning (ISSN 1560-4624), Special issue on Adaptivity in Web and
Mobile Learning Services, Inderscience Pub., Volume 14, Issue 4/5, pp. 402-421, November 2004
• N. Manouselis and D. Sampson, “Agent-based e-Learning Course Recommendation: Matching Learner Characteristics with
Content Attributes”, International Journal of Computers and Applications (IJCA) Special Issue on Intelligence and
Technology in Educational Applications, ACTA Press, Volume25, Issue 1, pp. 50-64, 2003
• N. Manouselis and D. Sampson, “Multi-Criteria Decision Making for Broker Agents in eLearning Environments”,
Operational Research: an International Journal, Volume 2, Issue 3, pp. 347-361, December 2002
• D. Sampson, C. Karagiannidis and F. Cardinali, “An Architecture for Web-based e-Learning Promoting Re-usable Adaptive
Educational Content”, Educational Technology & Society Journal, Special Issue on Innovations in Learning Technologies,
Volume 5, Issue 4, pp. 27-37, October 2002
• D. Sampson, C. Karagiannidis and Kinshuk, “Personalised Learning: Educational, Technological and Standardisation
Perspective”, Interactive Educational Multimedia, Special Issue on Adaptive Educational Multimedia, vol. 4, pp 24-39,
April 2002
• D. Sampson, C. Karagiannidis, A. Schenone and F. Cardinali, “Knowledge-on-Demand in e-Learning and e-Working
Settings”, Educational Technology & Society Journal (ISSN 1436-4522), Special Issue on Integrating Technology into
Learning and Working, vol. 5(2), pp. 107-112, April 2002
• C. Karagiannidis, D. Sampson and F. Cardinali, “Integrating Adaptive Educational Content into Different Courses and
Curricula”, Educational Technology & Society Journal , Special Issue on Curriculum, Instruction, Learning and the Internet,
vol. 4(3), pp. 37-44, July 2001

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Towards a Research-informed
Higher Education Technology-
Driven Innovation and
Transformation
Educational Data Analytics

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Key Research Components
• Profiling:
• Students, Teachers, Curricula, Schools,
Professional Placements, Graduates, Jobs
• Educational Data Analytics:
• Learning, Teaching, Organisational
• Recommender Systems:
• Resources, Tools, Peers, Tutors, Courses,
Professional Placements, Curricula, Jobs

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Learning Analytics
methods and digital tools to collect,
analyze and report student-related
educational data towards monitoring the
learning process
Teaching Analytics
methods and digital tools to analyze,
assess and/or visualize teaching
practice;
in combination with Learning Analytics,
can support evidence-based reflection on
teaching practice.
Organisational
Analytics
methods and digital tools to collect,
analyze and report data related to the
‘Business Intelligence’ of educational
institutions

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Descriptive Analytics
“what has already happened”: they are
related to existing data summarization, namely
the visualization of past data
Predictive Analytics
“what will happen”: they are related to
processing existing data for pattern elicitation,
so as to make estimations of future trends
Prescriptive Analytics
“what should we do”: they are related to
generating decision-support
recommendations for actions to be taken,
based on the analysis of existing data

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Current Research Projects &
Publications within this
Research Agenda

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Micro Level
To investigate the potential of prescriptive Teaching and Learning
Analytics to support teachers’ reflective (re)design in terms of guidance
provision in lab-supported, inquiry-based STEM education. This
research project studies the capacity of a simple Teaching and Learning
Analytics tool to analyze and assess educational designs in terms of the
level of guidance provided and correlate these analyses with students’
educational data collected during the delivery of the corresponding
educational scenario
To investigate the use of Teaching and Learning Analytics methods and
tools in profile students’ creative problem solving competence
development and exploit these profiles for delivering personalized
guidance provision in the context of STEM education.
Meso Level
Investigating the process of student professional identity development
in the context of Higher Education Programs, through prescriptive
Learning Analytics which supports continuous, data-driven professional
identity profiling and personalized learning pathway delineation at both
campus-based courses and professional placements. The domain of
Teacher Education has been selected as a case study.
Macro Level
Investigating the impact of a prescriptive ‘School Analytics’ framework
and recommender system on holistic school improvement and
innovation development addressing school leaders in their data-driven
educational decision making.

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Relevant Publications
• S. Sergis and D. Sampson, "Teaching and Learning Analytics: a Systematic Literature Review", in Alejandro Peña-Ayala
(Eds.), Learning analytics: Fundaments, applications, and trends - A view of the current state of the art, Springer, 2017
• S. Sergis and D. Sampson, "School Analytics: A Framework for Supporting Systemic School Complexity Leadership", in J. M.
Spector, D. Ifenthaler, D. Sampson and P. Isaias (Eds.), Competencies, Challenges and Changes in Teaching, Learning and
Educational Leadership in the Digital Age, Chapter 6, pp 79-122, ISBN 978-3-319-30293-5, 2016
• S. Sergis and D. Sampson, "Data Driven Decision Making For School Complexity Leadership: A Critical Analysis Of
Supporting Systems", in Ronghuai Huang, Kinshuk, and Jon K. Price (Eds.), ICT in education in global context: comparative
reports of K-12 schools innovation, Chapter 8, pp 145-172, Springer, ISBN 978-3-662-47955-1, 2016
• S. Sergis and D. Sampson, "Towards a Teaching Analytics Tool for supporting reflective educational (re)design in Inquiry-
based STEM Education", 16th IEEE International Conference on Advanced Learning Technologies (ICALT 2016), 2016
[BEST PAPER AWARD]
• P. Zervas and D. Sampson, "Supporting Reflective Lesson Planning based on Inquiry Learning Analytics for facilitating
students’ Problem Solving Competence: the Inspiring Science Education tools", in Ronghuai Huang, Nian-Shing Chen and
Kinshuk (Eds.), Authentic Learning through Advances in Technologies, Springer, 2017
• S. Sergis and D. Sampson, “Learning Object Recommendations for Teachers Based On Elicited ICT Competence Profiles”,
IEEE Transactions on Learning Technologies, Volume 9, Issue 1, pp. 67-80, January-March 2016
• S. Sergis and D. Sampson, “From Teachers’ to Schools’ ICT Competence Profiles”, in D. Sampson, D. Ifenthaler, J. M. Spector
and P. Isaias, (Eds.), Digital Systems for Open Access to Formal and Informal Learning, Chapter 19, pp 307-327,
Springer, ISBN 978-3-319-02263-5, 2014
• S. Sergis, P. Zervas and D.Sampson, “A holistic approach for managing School ICT Competence Profiles towards supporting
school ICT uptake”, International Journal of Digital Literacy and Digital Competence , Volume 5, Issue 4, pp 33-46,
October-December 2014
• P. Zervas, C. Chatzistavrianos and D. Sampson, "Towards Modelling ICT Teachers’ Competences Profiles in Europe", in R.
Huang, Kinshuk and J.K. Price (Eds.), ICT in Education in Global Context: Emerging Trends 2013-2014, Chapter10, pp 163-
181, Springer, ISBN 978-3-662-43926-5, 2014

14 Nov 2016 60/63
EDU1x: Analytics for the Classroom Teacher
edX MOOC
EDU1x Analytics for the Classroom Teacher
Curtin University
October-December 2016

14 Nov 2016 61/63
WWW2017
Τhe 26th World Wide Web conference
3-7 April 2017 Perth, Western Australia
Digital Learning Research Track
http://www.www2017.com.au/

14 Nov 2016 62/63
ICALT2017
Τhe 17th IEEE International Conference on
Advanced Learning Technologies
3-7 July 2017 Timisoara, Romania, European Union

14 Nov 2016 63/63
谢谢
唔該
Thank you !!!

Towards a Research-informed Technology-Driven Innovation and Transformation in Higher Education

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