SlideShare a Scribd company logo
1 of 31
Download to read offline
Prague, Czech Republic, December 4 - 6, 2015
E-Learning Adoption in a
Higher Education Setting:
An Empirical Study
Talk at the Multidisciplinary Academic Conference on Education, Teaching and Learning 2015
MAC-ETL 2015
Prof. Dr. Dagmar Monett, Prof. Dr. Margarita Elkina
D. Monett 2Prague, Czech Republic, December 4 - 6, 2015
Image by DavidCastilloDominici at FreeDigitalPhotos.net
Probably someone not using E-Learning...
Or a frustrated E-Learning adopter?
D. Monett
D. Monett
Topics
3Prague, Czech Republic, December 4 - 6, 2015
■ Background
■ Surveys:
■ Methodology. Demographics
■ Findings
■ Two groups of attitude towards E-Learning
■ E-Learning inhibitors
■ Learning Analytics
■ Recommendations
■ Conclusions
D. Monett 4Prague, Czech Republic, December 4 - 6, 2015
Background
D. Monett 5Prague, Czech Republic, December 4 - 6, 2015
Background
■ E-Learning platform, LMS: considered standard for
every higher education institution
■ Wide range of activities both for individual learning
and for group work
■ E-Learning adoption: pros and cons
■ Different expectations, different types of students,
different use of technology, etc.
LMS: Learning Management System
D. Monett 6Prague, Czech Republic, December 4 - 6, 2015
Our motivation
■ E-Learning? Many open questions!
■ Used by students and faculty alike? How much
and how?
■ Are there different learning/teaching approaches
when using E-Learning?
■ How willing are faculty to invest extra time on top
of its already heavy teaching load in learning and
using new technologies?
■ etc.
D. Monett 7Prague, Czech Republic, December 4 - 6, 2015
Surveys
D. Monett
Methodology
8Prague, Czech Republic, December 4 - 6, 2015
Image by ddpavumba at FreeDigitalPhotos.net
■ Two questionnaires (students, faculty) on the use
of E-Learning in general and LMS in particular
■ Available online from April 4 to June 20, 2013
■ Managed using Umfrage Online
■ 6 (students) and 14 (faculty) questions to be
answered
LMS: Learning Management System
D. Monett
Demographics
9Prague, Czech Republic, December 4 - 6, 2015
■ Students:
■ 425 Bachelor’s students
■ 59 Master’s students
■ 23 from other degree programs
■ Faculty:
■ 90 valid responses
■ 41.6% female, 58.4% male
Image by ddpavumba at FreeDigitalPhotos.net
D. Monett 10Prague, Czech Republic, December 4 - 6, 2015
Findings:
Students
D. Monett
Activities available – BSc
11Prague, Czech Republic, December 4 - 6, 2015
0 100 200 300 400
Classmate interaction possible
Formative quizzes available
Wiki activity used
Workshop activity available
Assessments conducted…
Summative quizzes available
Survey activity available
Glossary activity used
Chat activity available
Lesson activity available
Links to external resources…
Learning packages available
Self upload used
Forum activity available
Database activity used
Assignments activity available
Course orgware available
Course materials available
often
sometimes
seldom
never
dont't know
or no
answer
(N=425)
D. Monett
Wish more of: BSc
12Prague, Czech Republic, December 4 - 6, 2015
0 20 40 60 80 100
No eLearning at all
Voice recordings
Glossar
Chat
Classmate interaction
Workshop
Assessment
Wiki
Videos
Database
Interaction with faculty
Forum
Interactive exercises
Course materials
Mock exams
Exercises
(N=425)
D. Monett
Wish more of: MSc
13Prague, Czech Republic, December 4 - 6, 2015
0 20 40 60 80 100
No eLearning at all
Voice recordings
Glossar
Assessment
Forum
Chat
Database
Wiki
Classmate interaction
Workshop
Interaction with faculty
Course materials
Mock exams
Videos
Interactive exercises
Exercises
(N=59)
D. Monett
Wish more of (6) – BSc
14Prague, Czech Republic, December 4 - 6, 2015
0
10
20
30
40
50
60
70
80
1 2 3 4 5 6
%
Semester
Exercises Mock exams Course materials
Interactive exercises Forum Interaction with faculty
(N=425)
D. Monett
Wish more of (6) – BSc
15Prague, Czech Republic, December 4 - 6, 2015
-10
0
10
20
30
40
50
60
70
80
90
0 1 2 3 4 5 6 7
1st year 2nd year 3rd year
(N=425)
1: Exercises; 2: Course materials; 3: Mock exams; 4: Formative assessments; 5: Forums; 6: Summative assess.
D. Monett 16Prague, Czech Republic, December 4 - 6, 2015
Findings:
Faculty
D. Monett
When E-Learning?
17Prague, Czech Republic, December 4 - 6, 2015
(N=90)
0
10
20
30
40
50
60
70
eLearning in class optional for
students at home
mandatory for
students at home
no eLearning at
all
%
female male
D. Monett
How E-Learning?
18Prague, Czech Republic, December 4 - 6, 2015
(N=90)
%
I use it
already
I would
use it
I would
never use
it
I don’t know
it or no
answer
Mock exams 17,78 46,67 21,11 14,44
Assignments 31,11 42,22 13,33 13,33
Interactive assignments 6,67 50,00 21,11 22,22
Video 36,67 31,11 13,33 18,89
Video/audio recording 11,11 40,00 25,56 23,33
Wiki 16,67 41,11 17,78 24,44
Glossary 12,22 46,67 14,44 26,67
Database 17,78 46,67 12,22 23,33
Forum 20,00 44,44 21,11 14,44
Student-student interaction 30,00 50,00 3,33 16,67
Student-faculty interaction 53,33 30,00 6,67 10,00
Chat 10,00 43,33 26,67 20,00
Workshop 8,89 52,22 14,44 24,44
Course materials 76,67 13,33 2,22 7,78
Summative tests 4,44 34,44 38,89 22,22
D. Monett
How E-Learning?
19Prague, Czech Republic, December 4 - 6, 2015
(N=90)
%
I use it
already
I would
use it
I would
never use
it
I don’t know
it or no
answer
Mock exams 17,78 46,67 21,11 14,44
Assignments 31,11 42,22 13,33 13,33
Interactive assignments 6,67 50,00 21,11 22,22
Video 36,67 31,11 13,33 18,89
Video/audio recording 11,11 40,00 25,56 23,33
Wiki 16,67 41,11 17,78 24,44
Glossary 12,22 46,67 14,44 26,67
Database 17,78 46,67 12,22 23,33
Forum 20,00 44,44 21,11 14,44
Student-student interaction 30,00 50,00 3,33 16,67
Student-faculty interaction 53,33 30,00 6,67 10,00
Chat 10,00 43,33 26,67 20,00
Workshop 8,89 52,22 14,44 24,44
Course materials 76,67 13,33 2,22 7,78
Summative tests 4,44 34,44 38,89 22,22
Dominant group
of attitude:
Educators use
E-Learning or
think it could be
valuable
D. Monett
How E-Learning?
20Prague, Czech Republic, December 4 - 6, 2015
(N=90)
%
I use it
already
I would
use it
I would
never use
it
I don’t know
it or no
answer
Mock exams 17,78 46,67 21,11 14,44
Assignments 31,11 42,22 13,33 13,33
Interactive assignments 6,67 50,00 21,11 22,22
Video 36,67 31,11 13,33 18,89
Video/audio recording 11,11 40,00 25,56 23,33
Wiki 16,67 41,11 17,78 24,44
Glossary 12,22 46,67 14,44 26,67
Database 17,78 46,67 12,22 23,33
Forum 20,00 44,44 21,11 14,44
Student-student interaction 30,00 50,00 3,33 16,67
Student-faculty interaction 53,33 30,00 6,67 10,00
Chat 10,00 43,33 26,67 20,00
Workshop 8,89 52,22 14,44 24,44
Course materials 76,67 13,33 2,22 7,78
Summative tests 4,44 34,44 38,89 22,22
Secondary group
of attitude:
Educators that
do not believe in
E-Learning and
will not give it a
try
D. Monett
E-Learning inhibitors (i)
21Prague, Czech Republic, December 4 - 6, 2015
■ Teaching load already very high (18 credit hours
per week)
■ E-Learning, planning, designing, delivering and
managing - not part of formal teaching load
■ Engagement in E-Learning has no compensation
■ Better than “a well-prepared static website with all
the necessary course information in addition to
adequate interaction with students via email”?
D. Monett
E-Learning inhibitors (ii)
22Prague, Czech Republic, December 4 - 6, 2015
■ E-Learning terminology and LMS functionalities
unknown or complex
■ LMS is not 100% suitable for supporting teaching
■ Learning new tools is very time-consuming
■ “Effort required for a flawless information delivery
is disproportionately higher than for face-to-face
teaching”
■ Training offered by the institution is not flexible
enough (time issues arise)
D. Monett 23Prague, Czech Republic, December 4 - 6, 2015
Learning Analytics
D. Monett 24Prague, Czech Republic, December 4 - 6, 2015
Learning Analytics
“[It is] the measurement, collection,
analysis and reporting of data about
learners and their contexts, for purposes
of understanding and optimizing learning
and the environments in which it occurs”
Taken from the Call for Papers of the
First International Conference on Learning Analytics and Knowledge, LAK 2011,
Banff, Alberta, Canada.
(See more at https://tekri.athabascau.ca/analytics/call-papers)
D. Monett
3rd survey
25Prague, Czech Republic, December 4 - 6, 2015
■ Observing and analysing learners’ behaviour in
Moodle
■ Parallel, third survey on the use of LeMo
■ 70%: Data visualisation is key!
■ 80%: Monitoring learners’ access to learning
materials that are available
■ LA help to structure the learning materials better
LA: Learning Analytics
D. Monett 26Prague, Czech Republic, December 4 - 6, 2015
Recommendations
D. Monett 27Prague, Czech Republic, December 4 - 6, 2015
Image by DavidCastilloDominici at FreeDigitalPhotos.net
Probably someone not using E-Learning...
Or a frustrated E-Learning adopter?
D. Monett
D. Monett
Recommendations
28Prague, Czech Republic, December 4 - 6, 2015
■ E-Learning? Extra compensation is needed (e.g.,
in the form of teaching load release)
■ Allocate E-Learning instructors and instructional
designers directly to faculty for assistance
■ Who are the learners? Different types of students
might use E-Learning tools differently
■ Make use of Learning Analytics tools to…
■ ...understand how students learn
■ ...reflect on own teaching
D. Monett 29Prague, Czech Republic, December 4 - 6, 2015
Conclusions
D. Monett
Topics covered
30Prague, Czech Republic, December 4 - 6, 2015
Word cloud created with Wordle.net
dagmar@monettdiaz.com
monettdiaz
Contact:

More Related Content

What's hot

Analysis of Metadata and Topic Modeling for
Analysis of Metadata and Topic Modeling forAnalysis of Metadata and Topic Modeling for
Analysis of Metadata and Topic Modeling forJigar Mehta
 
Automated Cognitive Presence Detection in Online Discussion Transcripts
Automated Cognitive Presence Detection in Online Discussion TranscriptsAutomated Cognitive Presence Detection in Online Discussion Transcripts
Automated Cognitive Presence Detection in Online Discussion TranscriptsVitomir Kovanovic
 
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...Denise Whitelock
 
What is a MOOC?
What is a MOOC?What is a MOOC?
What is a MOOC?tuxette
 
Automated Content Analysis of Discussion Transcripts
Automated Content Analysis of Discussion TranscriptsAutomated Content Analysis of Discussion Transcripts
Automated Content Analysis of Discussion TranscriptsVitomir Kovanovic
 
Reform of Informatics Curriculum and Teacher Training in Estonia
Reform of Informatics Curriculum and Teacher Training  in EstoniaReform of Informatics Curriculum and Teacher Training  in Estonia
Reform of Informatics Curriculum and Teacher Training in EstoniaMart Laanpere
 
Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...
Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...
Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...Vitomir Kovanovic
 
Penetrating the black box of time-on-task estimation
Penetrating the black box of time-on-task estimationPenetrating the black box of time-on-task estimation
Penetrating the black box of time-on-task estimationVitomir Kovanovic
 
SFU SIAT Comprehensive Examination
SFU SIAT Comprehensive ExaminationSFU SIAT Comprehensive Examination
SFU SIAT Comprehensive ExaminationVitomir Kovanovic
 
Developing computational thinking via the visual programming tool lego educat...
Developing computational thinking via the visual programming tool lego educat...Developing computational thinking via the visual programming tool lego educat...
Developing computational thinking via the visual programming tool lego educat...Grial - University of Salamanca
 
Machine Support for Interacting with Scientific Publications Improving Inform...
Machine Support for Interacting with Scientific Publications Improving Inform...Machine Support for Interacting with Scientific Publications Improving Inform...
Machine Support for Interacting with Scientific Publications Improving Inform...Christoph Lange
 
How Learning Analytics can Support Teaching and Learning
How Learning Analytics can Support Teaching and LearningHow Learning Analytics can Support Teaching and Learning
How Learning Analytics can Support Teaching and LearningEducational Technology
 
EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)
EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)
EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)Robert Power
 
«Learning Analytics at the Open University and the UK»
 «Learning Analytics at the Open University and the UK» «Learning Analytics at the Open University and the UK»
«Learning Analytics at the Open University and the UK»Bart Rienties
 
Introducing Computational Thinking to K-5 in a French Context
Introducing Computational Thinking to K-5 in a French ContextIntroducing Computational Thinking to K-5 in a French Context
Introducing Computational Thinking to K-5 in a French ContextVanea Chiprianov
 
SLMOOC14: Using Second Life in the K-12 Classroom
SLMOOC14: Using Second Life in the K-12 ClassroomSLMOOC14: Using Second Life in the K-12 Classroom
SLMOOC14: Using Second Life in the K-12 ClassroomDavid W. Deeds
 
Mobile Computing with App Inventor in Middle and High School
Mobile Computing with App Inventor in Middle and High SchoolMobile Computing with App Inventor in Middle and High School
Mobile Computing with App Inventor in Middle and High SchoolYu-Chang Hsu
 
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».eMadrid network
 
Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...
Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...
Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...Jon Rosewell
 

What's hot (20)

Analysis of Metadata and Topic Modeling for
Analysis of Metadata and Topic Modeling forAnalysis of Metadata and Topic Modeling for
Analysis of Metadata and Topic Modeling for
 
Automated Cognitive Presence Detection in Online Discussion Transcripts
Automated Cognitive Presence Detection in Online Discussion TranscriptsAutomated Cognitive Presence Detection in Online Discussion Transcripts
Automated Cognitive Presence Detection in Online Discussion Transcripts
 
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
 
What is a MOOC?
What is a MOOC?What is a MOOC?
What is a MOOC?
 
Automated Content Analysis of Discussion Transcripts
Automated Content Analysis of Discussion TranscriptsAutomated Content Analysis of Discussion Transcripts
Automated Content Analysis of Discussion Transcripts
 
Reform of Informatics Curriculum and Teacher Training in Estonia
Reform of Informatics Curriculum and Teacher Training  in EstoniaReform of Informatics Curriculum and Teacher Training  in Estonia
Reform of Informatics Curriculum and Teacher Training in Estonia
 
Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...
Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...
Towards Automated Classification of Discussion Transcripts: A Cognitive Prese...
 
Penetrating the black box of time-on-task estimation
Penetrating the black box of time-on-task estimationPenetrating the black box of time-on-task estimation
Penetrating the black box of time-on-task estimation
 
SFU SIAT Comprehensive Examination
SFU SIAT Comprehensive ExaminationSFU SIAT Comprehensive Examination
SFU SIAT Comprehensive Examination
 
Developing computational thinking via the visual programming tool lego educat...
Developing computational thinking via the visual programming tool lego educat...Developing computational thinking via the visual programming tool lego educat...
Developing computational thinking via the visual programming tool lego educat...
 
Machine Support for Interacting with Scientific Publications Improving Inform...
Machine Support for Interacting with Scientific Publications Improving Inform...Machine Support for Interacting with Scientific Publications Improving Inform...
Machine Support for Interacting with Scientific Publications Improving Inform...
 
How Learning Analytics can Support Teaching and Learning
How Learning Analytics can Support Teaching and LearningHow Learning Analytics can Support Teaching and Learning
How Learning Analytics can Support Teaching and Learning
 
Learning while Working
Learning while WorkingLearning while Working
Learning while Working
 
EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)
EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)
EDUC5101 1st Adobe Connect Session Presentation (Jan-12-16)
 
«Learning Analytics at the Open University and the UK»
 «Learning Analytics at the Open University and the UK» «Learning Analytics at the Open University and the UK»
«Learning Analytics at the Open University and the UK»
 
Introducing Computational Thinking to K-5 in a French Context
Introducing Computational Thinking to K-5 in a French ContextIntroducing Computational Thinking to K-5 in a French Context
Introducing Computational Thinking to K-5 in a French Context
 
SLMOOC14: Using Second Life in the K-12 Classroom
SLMOOC14: Using Second Life in the K-12 ClassroomSLMOOC14: Using Second Life in the K-12 Classroom
SLMOOC14: Using Second Life in the K-12 Classroom
 
Mobile Computing with App Inventor in Middle and High School
Mobile Computing with App Inventor in Middle and High SchoolMobile Computing with App Inventor in Middle and High School
Mobile Computing with App Inventor in Middle and High School
 
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
20_05_08 «La Red Española de Analítica del Aprendizaje (SNOLA): logros y retos».
 
Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...
Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...
Robot explorers: Gender and group attitudes to STEM: a pilot evaluation of an...
 

Viewers also liked

Index Determination in DAEs using the Library indexdet and the ADOL-C Package...
Index Determination in DAEs using the Library indexdet and the ADOL-C Package...Index Determination in DAEs using the Library indexdet and the ADOL-C Package...
Index Determination in DAEs using the Library indexdet and the ADOL-C Package...Dagmar Monett
 
Experiences in Software Testing (lecture slides)
Experiences in Software Testing (lecture slides)Experiences in Software Testing (lecture slides)
Experiences in Software Testing (lecture slides)Dagmar Monett
 
Requirements Engineering Techniques for Eliciting Requirements (lecture slides)
Requirements Engineering Techniques for Eliciting Requirements (lecture slides)Requirements Engineering Techniques for Eliciting Requirements (lecture slides)
Requirements Engineering Techniques for Eliciting Requirements (lecture slides)Dagmar Monett
 
Mobile Learning Implementation Need, Myths & Success Factors
Mobile Learning Implementation Need, Myths & Success FactorsMobile Learning Implementation Need, Myths & Success Factors
Mobile Learning Implementation Need, Myths & Success FactorsUpside Learning Solutions
 
Mobile computing and your future old ppt
Mobile computing and your future old pptMobile computing and your future old ppt
Mobile computing and your future old pptMary Markland
 
The Future of Learning is Mobile
The Future of Learning is MobileThe Future of Learning is Mobile
The Future of Learning is MobileJames Clay
 
Mobile Learning Generation (PPT of EDUCA 2014)
Mobile Learning Generation (PPT of EDUCA 2014)Mobile Learning Generation (PPT of EDUCA 2014)
Mobile Learning Generation (PPT of EDUCA 2014)Mnr Prn
 
Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]
Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]
Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]Dagmar Monett
 
Walking the path from the MOOC to my classroom: My collection of methods and ...
Walking the path from the MOOC to my classroom: My collection of methods and ...Walking the path from the MOOC to my classroom: My collection of methods and ...
Walking the path from the MOOC to my classroom: My collection of methods and ...Dagmar Monett
 
MATHEON Center Days: Index determination and structural analysis using Algori...
MATHEON Center Days: Index determination and structural analysis using Algori...MATHEON Center Days: Index determination and structural analysis using Algori...
MATHEON Center Days: Index determination and structural analysis using Algori...Dagmar Monett
 
Agile or traditional Software Engineering?
Agile or traditional Software Engineering? Agile or traditional Software Engineering?
Agile or traditional Software Engineering? Dagmar Monett
 
Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...
Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...
Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...Dagmar Monett
 
Teaching Students Collaborative Requirements Engineering. Case Study Red:Wire
Teaching Students Collaborative Requirements Engineering. Case Study Red:WireTeaching Students Collaborative Requirements Engineering. Case Study Red:Wire
Teaching Students Collaborative Requirements Engineering. Case Study Red:WireDagmar Monett
 
Future Mobile Learning (29 August 2011)
Future Mobile Learning (29 August 2011)Future Mobile Learning (29 August 2011)
Future Mobile Learning (29 August 2011)Judy Brown
 
Software Requirements Elicitation Methods
Software Requirements Elicitation MethodsSoftware Requirements Elicitation Methods
Software Requirements Elicitation Methodsmnaeem22
 
Agent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertation
Agent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertationAgent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertation
Agent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertationDagmar Monett
 
Key Issues for Requirements Engineering (lecture slides)
Key Issues for Requirements Engineering (lecture slides)Key Issues for Requirements Engineering (lecture slides)
Key Issues for Requirements Engineering (lecture slides)Dagmar Monett
 
Software requirement elicitation
Software requirement elicitationSoftware requirement elicitation
Software requirement elicitationPankamol Srikaew
 
Introduction to Agents and Multi-agent Systems (lecture slides)
Introduction to Agents and Multi-agent Systems (lecture slides)Introduction to Agents and Multi-agent Systems (lecture slides)
Introduction to Agents and Multi-agent Systems (lecture slides)Dagmar Monett
 
Mobile Learning Definitions
Mobile Learning DefinitionsMobile Learning Definitions
Mobile Learning DefinitionsBrad H
 

Viewers also liked (20)

Index Determination in DAEs using the Library indexdet and the ADOL-C Package...
Index Determination in DAEs using the Library indexdet and the ADOL-C Package...Index Determination in DAEs using the Library indexdet and the ADOL-C Package...
Index Determination in DAEs using the Library indexdet and the ADOL-C Package...
 
Experiences in Software Testing (lecture slides)
Experiences in Software Testing (lecture slides)Experiences in Software Testing (lecture slides)
Experiences in Software Testing (lecture slides)
 
Requirements Engineering Techniques for Eliciting Requirements (lecture slides)
Requirements Engineering Techniques for Eliciting Requirements (lecture slides)Requirements Engineering Techniques for Eliciting Requirements (lecture slides)
Requirements Engineering Techniques for Eliciting Requirements (lecture slides)
 
Mobile Learning Implementation Need, Myths & Success Factors
Mobile Learning Implementation Need, Myths & Success FactorsMobile Learning Implementation Need, Myths & Success Factors
Mobile Learning Implementation Need, Myths & Success Factors
 
Mobile computing and your future old ppt
Mobile computing and your future old pptMobile computing and your future old ppt
Mobile computing and your future old ppt
 
The Future of Learning is Mobile
The Future of Learning is MobileThe Future of Learning is Mobile
The Future of Learning is Mobile
 
Mobile Learning Generation (PPT of EDUCA 2014)
Mobile Learning Generation (PPT of EDUCA 2014)Mobile Learning Generation (PPT of EDUCA 2014)
Mobile Learning Generation (PPT of EDUCA 2014)
 
Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]
Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]
Predicting Star Ratings based on Annotated Reviewss of Mobile Apps [Slides]
 
Walking the path from the MOOC to my classroom: My collection of methods and ...
Walking the path from the MOOC to my classroom: My collection of methods and ...Walking the path from the MOOC to my classroom: My collection of methods and ...
Walking the path from the MOOC to my classroom: My collection of methods and ...
 
MATHEON Center Days: Index determination and structural analysis using Algori...
MATHEON Center Days: Index determination and structural analysis using Algori...MATHEON Center Days: Index determination and structural analysis using Algori...
MATHEON Center Days: Index determination and structural analysis using Algori...
 
Agile or traditional Software Engineering?
Agile or traditional Software Engineering? Agile or traditional Software Engineering?
Agile or traditional Software Engineering?
 
Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...
Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...
Simulating the Fractional Reserve Banking using Agent-based Modelling with Ne...
 
Teaching Students Collaborative Requirements Engineering. Case Study Red:Wire
Teaching Students Collaborative Requirements Engineering. Case Study Red:WireTeaching Students Collaborative Requirements Engineering. Case Study Red:Wire
Teaching Students Collaborative Requirements Engineering. Case Study Red:Wire
 
Future Mobile Learning (29 August 2011)
Future Mobile Learning (29 August 2011)Future Mobile Learning (29 August 2011)
Future Mobile Learning (29 August 2011)
 
Software Requirements Elicitation Methods
Software Requirements Elicitation MethodsSoftware Requirements Elicitation Methods
Software Requirements Elicitation Methods
 
Agent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertation
Agent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertationAgent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertation
Agent-Based Configuration of (Metaheuristic) Algorithms - Doctoral dissertation
 
Key Issues for Requirements Engineering (lecture slides)
Key Issues for Requirements Engineering (lecture slides)Key Issues for Requirements Engineering (lecture slides)
Key Issues for Requirements Engineering (lecture slides)
 
Software requirement elicitation
Software requirement elicitationSoftware requirement elicitation
Software requirement elicitation
 
Introduction to Agents and Multi-agent Systems (lecture slides)
Introduction to Agents and Multi-agent Systems (lecture slides)Introduction to Agents and Multi-agent Systems (lecture slides)
Introduction to Agents and Multi-agent Systems (lecture slides)
 
Mobile Learning Definitions
Mobile Learning DefinitionsMobile Learning Definitions
Mobile Learning Definitions
 

Similar to E-Learning Adoption in a Higher Education Setting: An Empirical Study

Learning analytics research informed institutional practice
Learning analytics research informed institutional practiceLearning analytics research informed institutional practice
Learning analytics research informed institutional practiceYi-Shan Tsai
 
Learning Analytics for online and on-campus education: experience and research
Learning Analytics for online and on-campus education: experience and researchLearning Analytics for online and on-campus education: experience and research
Learning Analytics for online and on-campus education: experience and researchTinne De Laet
 
Krakow presentation speak_appsmngm_final
Krakow presentation speak_appsmngm_finalKrakow presentation speak_appsmngm_final
Krakow presentation speak_appsmngm_finalSpeakApps Project
 
STEM Teaching Tools: Resources for equitable science teaching and learning
STEM Teaching Tools: Resources for equitable science teaching and learningSTEM Teaching Tools: Resources for equitable science teaching and learning
STEM Teaching Tools: Resources for equitable science teaching and learningSERC at Carleton College
 
Institutional MOOC strategies compared
Institutional MOOC strategies comparedInstitutional MOOC strategies compared
Institutional MOOC strategies comparedEADTU
 
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...EUmoocs
 
Learning design and learning analytics
Learning design and learning analyticsLearning design and learning analytics
Learning design and learning analyticsRebecca Ferguson
 
Improving Education by Learning Analtyics (EADTU-EU Summit 2017)
Improving Education by Learning Analtyics (EADTU-EU Summit 2017)Improving Education by Learning Analtyics (EADTU-EU Summit 2017)
Improving Education by Learning Analtyics (EADTU-EU Summit 2017)EADTU
 
Technology in the Elementary Classroom
Technology in the Elementary ClassroomTechnology in the Elementary Classroom
Technology in the Elementary ClassroomWestJ1140
 
2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...
2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...
2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...eMadrid network
 
Creating a Learning Legacy
Creating a Learning LegacyCreating a Learning Legacy
Creating a Learning Legacymthornburgh
 
Linq 2013 session_red_2_wastiau
Linq 2013 session_red_2_wastiauLinq 2013 session_red_2_wastiau
Linq 2013 session_red_2_wastiauLINQ_Conference
 
CCC-M F2F meeting_150928
CCC-M F2F meeting_150928CCC-M F2F meeting_150928
CCC-M F2F meeting_150928McGill_RSB
 
21st Century Trends in Higher Education: Teaching, Learning, and Research
21st Century Trends in Higher Education: Teaching, Learning, and Research 21st Century Trends in Higher Education: Teaching, Learning, and Research
21st Century Trends in Higher Education: Teaching, Learning, and Research Jintavee Khlaisang
 
Framing Blended learning, teaching, and education
Framing Blended learning, teaching, and educationFraming Blended learning, teaching, and education
Framing Blended learning, teaching, and educationEADTU
 
Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...
Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...
Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...Sven Charleer
 
SHEILA-CRLI seminar
SHEILA-CRLI seminarSHEILA-CRLI seminar
SHEILA-CRLI seminarYi-Shan Tsai
 

Similar to E-Learning Adoption in a Higher Education Setting: An Empirical Study (20)

Learning analytics research informed institutional practice
Learning analytics research informed institutional practiceLearning analytics research informed institutional practice
Learning analytics research informed institutional practice
 
Learning Analytics for online and on-campus education: experience and research
Learning Analytics for online and on-campus education: experience and researchLearning Analytics for online and on-campus education: experience and research
Learning Analytics for online and on-campus education: experience and research
 
Online Learning
Online LearningOnline Learning
Online Learning
 
Krakow presentation speak_appsmngm_final
Krakow presentation speak_appsmngm_finalKrakow presentation speak_appsmngm_final
Krakow presentation speak_appsmngm_final
 
STEM Teaching Tools: Resources for equitable science teaching and learning
STEM Teaching Tools: Resources for equitable science teaching and learningSTEM Teaching Tools: Resources for equitable science teaching and learning
STEM Teaching Tools: Resources for equitable science teaching and learning
 
Institutional MOOC strategies compared
Institutional MOOC strategies comparedInstitutional MOOC strategies compared
Institutional MOOC strategies compared
 
Institutional MOOC strategies compared
Institutional MOOC strategies comparedInstitutional MOOC strategies compared
Institutional MOOC strategies compared
 
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...
 
Learning design and learning analytics
Learning design and learning analyticsLearning design and learning analytics
Learning design and learning analytics
 
Improving Education by Learning Analtyics (EADTU-EU Summit 2017)
Improving Education by Learning Analtyics (EADTU-EU Summit 2017)Improving Education by Learning Analtyics (EADTU-EU Summit 2017)
Improving Education by Learning Analtyics (EADTU-EU Summit 2017)
 
Technology in the Elementary Classroom
Technology in the Elementary ClassroomTechnology in the Elementary Classroom
Technology in the Elementary Classroom
 
2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...
2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...
2020_09_24 «How Learning Analytics Can Inform E-Learning in the New Normal» -...
 
Teaching as a Way to Learn
Teaching as a Way to Learn Teaching as a Way to Learn
Teaching as a Way to Learn
 
Creating a Learning Legacy
Creating a Learning LegacyCreating a Learning Legacy
Creating a Learning Legacy
 
Linq 2013 session_red_2_wastiau
Linq 2013 session_red_2_wastiauLinq 2013 session_red_2_wastiau
Linq 2013 session_red_2_wastiau
 
CCC-M F2F meeting_150928
CCC-M F2F meeting_150928CCC-M F2F meeting_150928
CCC-M F2F meeting_150928
 
21st Century Trends in Higher Education: Teaching, Learning, and Research
21st Century Trends in Higher Education: Teaching, Learning, and Research 21st Century Trends in Higher Education: Teaching, Learning, and Research
21st Century Trends in Higher Education: Teaching, Learning, and Research
 
Framing Blended learning, teaching, and education
Framing Blended learning, teaching, and educationFraming Blended learning, teaching, and education
Framing Blended learning, teaching, and education
 
Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...
Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...
Designing and Evaluating Student-facing Learning Dashboards: Lessons Learnt (...
 
SHEILA-CRLI seminar
SHEILA-CRLI seminarSHEILA-CRLI seminar
SHEILA-CRLI seminar
 

More from Dagmar Monett

Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...
Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...
Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...Dagmar Monett
 
Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...
Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...
Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...Dagmar Monett
 
University-Industry Collaboration's Next Level: A Comparative Study as Basis ...
University-Industry Collaboration's Next Level: A Comparative Study as Basis ...University-Industry Collaboration's Next Level: A Comparative Study as Basis ...
University-Industry Collaboration's Next Level: A Comparative Study as Basis ...Dagmar Monett
 
The Changing Landscape of Digital Technologies for Learning
The Changing Landscape of Digital Technologies for Learning The Changing Landscape of Digital Technologies for Learning
The Changing Landscape of Digital Technologies for Learning Dagmar Monett
 
Will Robots Take all the Jobs? Not yet.
Will Robots Take all the Jobs? Not yet.Will Robots Take all the Jobs? Not yet.
Will Robots Take all the Jobs? Not yet.Dagmar Monett
 
Coming to terms with intelligence in machines
Coming to terms with intelligence in machinesComing to terms with intelligence in machines
Coming to terms with intelligence in machinesDagmar Monett
 
The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...
The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...
The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...Dagmar Monett
 
Artificial Intelligence: The Promise, the Myth, and a Dose of Reality
Artificial Intelligence: The Promise, the Myth, and a Dose of RealityArtificial Intelligence: The Promise, the Myth, and a Dose of Reality
Artificial Intelligence: The Promise, the Myth, and a Dose of RealityDagmar Monett
 
Intelligence, the elusive concept and general capability still not found in m...
Intelligence, the elusive concept and general capability still not found in m...Intelligence, the elusive concept and general capability still not found in m...
Intelligence, the elusive concept and general capability still not found in m...Dagmar Monett
 
The I in AI (or why there is still none)
The I in AI (or why there is still none)The I in AI (or why there is still none)
The I in AI (or why there is still none)Dagmar Monett
 
Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...
Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...
Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...Dagmar Monett
 
Methods for Validating and Testing Software Requirements (lecture slides)
Methods for Validating and Testing Software Requirements (lecture slides)Methods for Validating and Testing Software Requirements (lecture slides)
Methods for Validating and Testing Software Requirements (lecture slides)Dagmar Monett
 
Modelling Software Requirements: Important diagrams and templates (lecture sl...
Modelling Software Requirements: Important diagrams and templates (lecture sl...Modelling Software Requirements: Important diagrams and templates (lecture sl...
Modelling Software Requirements: Important diagrams and templates (lecture sl...Dagmar Monett
 
Requirements Engineering Methods for Documenting Requirements (lecture slides)
Requirements Engineering Methods for Documenting Requirements (lecture slides)Requirements Engineering Methods for Documenting Requirements (lecture slides)
Requirements Engineering Methods for Documenting Requirements (lecture slides)Dagmar Monett
 
A Structured Approach to Requirements Analysis (lecture slides)
A Structured Approach to Requirements Analysis (lecture slides)A Structured Approach to Requirements Analysis (lecture slides)
A Structured Approach to Requirements Analysis (lecture slides)Dagmar Monett
 
Genetic Algorithms and Ant Colony Optimisation (lecture slides)
Genetic Algorithms and Ant Colony Optimisation (lecture slides)Genetic Algorithms and Ant Colony Optimisation (lecture slides)
Genetic Algorithms and Ant Colony Optimisation (lecture slides)Dagmar Monett
 

More from Dagmar Monett (16)

Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...
Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...
Narratives that speak AI lingua? AI vocabulary in listed companies' annual re...
 
Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...
Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...
Game-based Learning as a Suitable Approach for Teaching Digital Ethical Think...
 
University-Industry Collaboration's Next Level: A Comparative Study as Basis ...
University-Industry Collaboration's Next Level: A Comparative Study as Basis ...University-Industry Collaboration's Next Level: A Comparative Study as Basis ...
University-Industry Collaboration's Next Level: A Comparative Study as Basis ...
 
The Changing Landscape of Digital Technologies for Learning
The Changing Landscape of Digital Technologies for Learning The Changing Landscape of Digital Technologies for Learning
The Changing Landscape of Digital Technologies for Learning
 
Will Robots Take all the Jobs? Not yet.
Will Robots Take all the Jobs? Not yet.Will Robots Take all the Jobs? Not yet.
Will Robots Take all the Jobs? Not yet.
 
Coming to terms with intelligence in machines
Coming to terms with intelligence in machinesComing to terms with intelligence in machines
Coming to terms with intelligence in machines
 
The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...
The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...
The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: ...
 
Artificial Intelligence: The Promise, the Myth, and a Dose of Reality
Artificial Intelligence: The Promise, the Myth, and a Dose of RealityArtificial Intelligence: The Promise, the Myth, and a Dose of Reality
Artificial Intelligence: The Promise, the Myth, and a Dose of Reality
 
Intelligence, the elusive concept and general capability still not found in m...
Intelligence, the elusive concept and general capability still not found in m...Intelligence, the elusive concept and general capability still not found in m...
Intelligence, the elusive concept and general capability still not found in m...
 
The I in AI (or why there is still none)
The I in AI (or why there is still none)The I in AI (or why there is still none)
The I in AI (or why there is still none)
 
Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...
Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...
Erfahrungen aus Projektbasiertes Lernen im Informatik Studium - The Missing p...
 
Methods for Validating and Testing Software Requirements (lecture slides)
Methods for Validating and Testing Software Requirements (lecture slides)Methods for Validating and Testing Software Requirements (lecture slides)
Methods for Validating and Testing Software Requirements (lecture slides)
 
Modelling Software Requirements: Important diagrams and templates (lecture sl...
Modelling Software Requirements: Important diagrams and templates (lecture sl...Modelling Software Requirements: Important diagrams and templates (lecture sl...
Modelling Software Requirements: Important diagrams and templates (lecture sl...
 
Requirements Engineering Methods for Documenting Requirements (lecture slides)
Requirements Engineering Methods for Documenting Requirements (lecture slides)Requirements Engineering Methods for Documenting Requirements (lecture slides)
Requirements Engineering Methods for Documenting Requirements (lecture slides)
 
A Structured Approach to Requirements Analysis (lecture slides)
A Structured Approach to Requirements Analysis (lecture slides)A Structured Approach to Requirements Analysis (lecture slides)
A Structured Approach to Requirements Analysis (lecture slides)
 
Genetic Algorithms and Ant Colony Optimisation (lecture slides)
Genetic Algorithms and Ant Colony Optimisation (lecture slides)Genetic Algorithms and Ant Colony Optimisation (lecture slides)
Genetic Algorithms and Ant Colony Optimisation (lecture slides)
 

Recently uploaded

AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
EMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docxEMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docxElton John Embodo
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...JojoEDelaCruz
 
Oppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmOppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmStan Meyer
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataBabyAnnMotar
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptxmary850239
 

Recently uploaded (20)

AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
EMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docxEMBODO Lesson Plan Grade 9 Law of Sines.docx
EMBODO Lesson Plan Grade 9 Law of Sines.docx
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
 
Oppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and FilmOppenheimer Film Discussion for Philosophy and Film
Oppenheimer Film Discussion for Philosophy and Film
 
Measures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped dataMeasures of Position DECILES for ungrouped data
Measures of Position DECILES for ungrouped data
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Paradigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTAParadigm shift in nursing research by RS MEHTA
Paradigm shift in nursing research by RS MEHTA
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx4.16.24 21st Century Movements for Black Lives.pptx
4.16.24 21st Century Movements for Black Lives.pptx
 

E-Learning Adoption in a Higher Education Setting: An Empirical Study

  • 1. Prague, Czech Republic, December 4 - 6, 2015 E-Learning Adoption in a Higher Education Setting: An Empirical Study Talk at the Multidisciplinary Academic Conference on Education, Teaching and Learning 2015 MAC-ETL 2015 Prof. Dr. Dagmar Monett, Prof. Dr. Margarita Elkina
  • 2. D. Monett 2Prague, Czech Republic, December 4 - 6, 2015 Image by DavidCastilloDominici at FreeDigitalPhotos.net Probably someone not using E-Learning... Or a frustrated E-Learning adopter? D. Monett
  • 3. D. Monett Topics 3Prague, Czech Republic, December 4 - 6, 2015 ■ Background ■ Surveys: ■ Methodology. Demographics ■ Findings ■ Two groups of attitude towards E-Learning ■ E-Learning inhibitors ■ Learning Analytics ■ Recommendations ■ Conclusions
  • 4. D. Monett 4Prague, Czech Republic, December 4 - 6, 2015 Background
  • 5. D. Monett 5Prague, Czech Republic, December 4 - 6, 2015 Background ■ E-Learning platform, LMS: considered standard for every higher education institution ■ Wide range of activities both for individual learning and for group work ■ E-Learning adoption: pros and cons ■ Different expectations, different types of students, different use of technology, etc. LMS: Learning Management System
  • 6. D. Monett 6Prague, Czech Republic, December 4 - 6, 2015 Our motivation ■ E-Learning? Many open questions! ■ Used by students and faculty alike? How much and how? ■ Are there different learning/teaching approaches when using E-Learning? ■ How willing are faculty to invest extra time on top of its already heavy teaching load in learning and using new technologies? ■ etc.
  • 7. D. Monett 7Prague, Czech Republic, December 4 - 6, 2015 Surveys
  • 8. D. Monett Methodology 8Prague, Czech Republic, December 4 - 6, 2015 Image by ddpavumba at FreeDigitalPhotos.net ■ Two questionnaires (students, faculty) on the use of E-Learning in general and LMS in particular ■ Available online from April 4 to June 20, 2013 ■ Managed using Umfrage Online ■ 6 (students) and 14 (faculty) questions to be answered LMS: Learning Management System
  • 9. D. Monett Demographics 9Prague, Czech Republic, December 4 - 6, 2015 ■ Students: ■ 425 Bachelor’s students ■ 59 Master’s students ■ 23 from other degree programs ■ Faculty: ■ 90 valid responses ■ 41.6% female, 58.4% male Image by ddpavumba at FreeDigitalPhotos.net
  • 10. D. Monett 10Prague, Czech Republic, December 4 - 6, 2015 Findings: Students
  • 11. D. Monett Activities available – BSc 11Prague, Czech Republic, December 4 - 6, 2015 0 100 200 300 400 Classmate interaction possible Formative quizzes available Wiki activity used Workshop activity available Assessments conducted… Summative quizzes available Survey activity available Glossary activity used Chat activity available Lesson activity available Links to external resources… Learning packages available Self upload used Forum activity available Database activity used Assignments activity available Course orgware available Course materials available often sometimes seldom never dont't know or no answer (N=425)
  • 12. D. Monett Wish more of: BSc 12Prague, Czech Republic, December 4 - 6, 2015 0 20 40 60 80 100 No eLearning at all Voice recordings Glossar Chat Classmate interaction Workshop Assessment Wiki Videos Database Interaction with faculty Forum Interactive exercises Course materials Mock exams Exercises (N=425)
  • 13. D. Monett Wish more of: MSc 13Prague, Czech Republic, December 4 - 6, 2015 0 20 40 60 80 100 No eLearning at all Voice recordings Glossar Assessment Forum Chat Database Wiki Classmate interaction Workshop Interaction with faculty Course materials Mock exams Videos Interactive exercises Exercises (N=59)
  • 14. D. Monett Wish more of (6) – BSc 14Prague, Czech Republic, December 4 - 6, 2015 0 10 20 30 40 50 60 70 80 1 2 3 4 5 6 % Semester Exercises Mock exams Course materials Interactive exercises Forum Interaction with faculty (N=425)
  • 15. D. Monett Wish more of (6) – BSc 15Prague, Czech Republic, December 4 - 6, 2015 -10 0 10 20 30 40 50 60 70 80 90 0 1 2 3 4 5 6 7 1st year 2nd year 3rd year (N=425) 1: Exercises; 2: Course materials; 3: Mock exams; 4: Formative assessments; 5: Forums; 6: Summative assess.
  • 16. D. Monett 16Prague, Czech Republic, December 4 - 6, 2015 Findings: Faculty
  • 17. D. Monett When E-Learning? 17Prague, Czech Republic, December 4 - 6, 2015 (N=90) 0 10 20 30 40 50 60 70 eLearning in class optional for students at home mandatory for students at home no eLearning at all % female male
  • 18. D. Monett How E-Learning? 18Prague, Czech Republic, December 4 - 6, 2015 (N=90) % I use it already I would use it I would never use it I don’t know it or no answer Mock exams 17,78 46,67 21,11 14,44 Assignments 31,11 42,22 13,33 13,33 Interactive assignments 6,67 50,00 21,11 22,22 Video 36,67 31,11 13,33 18,89 Video/audio recording 11,11 40,00 25,56 23,33 Wiki 16,67 41,11 17,78 24,44 Glossary 12,22 46,67 14,44 26,67 Database 17,78 46,67 12,22 23,33 Forum 20,00 44,44 21,11 14,44 Student-student interaction 30,00 50,00 3,33 16,67 Student-faculty interaction 53,33 30,00 6,67 10,00 Chat 10,00 43,33 26,67 20,00 Workshop 8,89 52,22 14,44 24,44 Course materials 76,67 13,33 2,22 7,78 Summative tests 4,44 34,44 38,89 22,22
  • 19. D. Monett How E-Learning? 19Prague, Czech Republic, December 4 - 6, 2015 (N=90) % I use it already I would use it I would never use it I don’t know it or no answer Mock exams 17,78 46,67 21,11 14,44 Assignments 31,11 42,22 13,33 13,33 Interactive assignments 6,67 50,00 21,11 22,22 Video 36,67 31,11 13,33 18,89 Video/audio recording 11,11 40,00 25,56 23,33 Wiki 16,67 41,11 17,78 24,44 Glossary 12,22 46,67 14,44 26,67 Database 17,78 46,67 12,22 23,33 Forum 20,00 44,44 21,11 14,44 Student-student interaction 30,00 50,00 3,33 16,67 Student-faculty interaction 53,33 30,00 6,67 10,00 Chat 10,00 43,33 26,67 20,00 Workshop 8,89 52,22 14,44 24,44 Course materials 76,67 13,33 2,22 7,78 Summative tests 4,44 34,44 38,89 22,22 Dominant group of attitude: Educators use E-Learning or think it could be valuable
  • 20. D. Monett How E-Learning? 20Prague, Czech Republic, December 4 - 6, 2015 (N=90) % I use it already I would use it I would never use it I don’t know it or no answer Mock exams 17,78 46,67 21,11 14,44 Assignments 31,11 42,22 13,33 13,33 Interactive assignments 6,67 50,00 21,11 22,22 Video 36,67 31,11 13,33 18,89 Video/audio recording 11,11 40,00 25,56 23,33 Wiki 16,67 41,11 17,78 24,44 Glossary 12,22 46,67 14,44 26,67 Database 17,78 46,67 12,22 23,33 Forum 20,00 44,44 21,11 14,44 Student-student interaction 30,00 50,00 3,33 16,67 Student-faculty interaction 53,33 30,00 6,67 10,00 Chat 10,00 43,33 26,67 20,00 Workshop 8,89 52,22 14,44 24,44 Course materials 76,67 13,33 2,22 7,78 Summative tests 4,44 34,44 38,89 22,22 Secondary group of attitude: Educators that do not believe in E-Learning and will not give it a try
  • 21. D. Monett E-Learning inhibitors (i) 21Prague, Czech Republic, December 4 - 6, 2015 ■ Teaching load already very high (18 credit hours per week) ■ E-Learning, planning, designing, delivering and managing - not part of formal teaching load ■ Engagement in E-Learning has no compensation ■ Better than “a well-prepared static website with all the necessary course information in addition to adequate interaction with students via email”?
  • 22. D. Monett E-Learning inhibitors (ii) 22Prague, Czech Republic, December 4 - 6, 2015 ■ E-Learning terminology and LMS functionalities unknown or complex ■ LMS is not 100% suitable for supporting teaching ■ Learning new tools is very time-consuming ■ “Effort required for a flawless information delivery is disproportionately higher than for face-to-face teaching” ■ Training offered by the institution is not flexible enough (time issues arise)
  • 23. D. Monett 23Prague, Czech Republic, December 4 - 6, 2015 Learning Analytics
  • 24. D. Monett 24Prague, Czech Republic, December 4 - 6, 2015 Learning Analytics “[It is] the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs” Taken from the Call for Papers of the First International Conference on Learning Analytics and Knowledge, LAK 2011, Banff, Alberta, Canada. (See more at https://tekri.athabascau.ca/analytics/call-papers)
  • 25. D. Monett 3rd survey 25Prague, Czech Republic, December 4 - 6, 2015 ■ Observing and analysing learners’ behaviour in Moodle ■ Parallel, third survey on the use of LeMo ■ 70%: Data visualisation is key! ■ 80%: Monitoring learners’ access to learning materials that are available ■ LA help to structure the learning materials better LA: Learning Analytics
  • 26. D. Monett 26Prague, Czech Republic, December 4 - 6, 2015 Recommendations
  • 27. D. Monett 27Prague, Czech Republic, December 4 - 6, 2015 Image by DavidCastilloDominici at FreeDigitalPhotos.net Probably someone not using E-Learning... Or a frustrated E-Learning adopter? D. Monett
  • 28. D. Monett Recommendations 28Prague, Czech Republic, December 4 - 6, 2015 ■ E-Learning? Extra compensation is needed (e.g., in the form of teaching load release) ■ Allocate E-Learning instructors and instructional designers directly to faculty for assistance ■ Who are the learners? Different types of students might use E-Learning tools differently ■ Make use of Learning Analytics tools to… ■ ...understand how students learn ■ ...reflect on own teaching
  • 29. D. Monett 29Prague, Czech Republic, December 4 - 6, 2015 Conclusions
  • 30. D. Monett Topics covered 30Prague, Czech Republic, December 4 - 6, 2015 Word cloud created with Wordle.net