The meta-review examines 10 studies that provide overviews of recognition of learning techniques in learning management systems (LMSs) and massive open online courses (MOOCs). The studies were published between 2017-2021 and included reviews, experiences, and challenges. Most focused on MOOCs and used badges for recognition. Results showed techniques like gamification and badges positively impact motivation and engagement. Limitations included short study periods and small samples. Future work could study applications over longer periods, combine data types, and consider diverse stakeholders and environments.
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Michos, K., Hernández-Leo, D., Jiménez, M., (2017) How educators value data analytics about their MOOCs, CEUR Proceedings of Work in Progress Papers of the Experience and Research Tracks and Position Papers of the Policy Track at EMOOCs 2017 co-located with the EMOOCs 2017 Conference (Vol-1841), Madrid, Spain, 77-82.
http://ceur-ws.org/Vol-1841/R06_117.pdf
2. Evaluation design of the cofimvaba ict4 red initiative - Bridge 2014 versionBenita Williams
This presentation was delivered to the Monitoring and Evaluation Colloquium of Bridge on 12 August 2014. It is based on a paper delivered at the SAMEA 2013 conference by Williams, Marais and Rampa
How educators value data analytics about their moocs (1)davinia.hl
Michos, K., Hernández-Leo, D., Jiménez, M., (2017) How educators value data analytics about their MOOCs, CEUR Proceedings of Work in Progress Papers of the Experience and Research Tracks and Position Papers of the Policy Track at EMOOCs 2017 co-located with the EMOOCs 2017 Conference (Vol-1841), Madrid, Spain, 77-82.
http://ceur-ws.org/Vol-1841/R06_117.pdf
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OVERCOMING BARRIERS AND CHALLENGES BY CREATING TRAINING TO INCREASE THE USE OF ONLINE EDUCATION TECHNOLOGY AMONG FACULTY: A CASE STUDY DISSERTATION RESEARCH DEFENSE
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Despite the popularity of the Massive Open Online Courses, small-scale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, research results showed that the proposed method improved the perplexity score on the LDA model.
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Meta-review of recognition of learning in LMS and MOOCs - Ruth Cobos
1. Learning Analytics
Ruth Cobos
Meta-Review of Recognition of Learning
in LMSs and MOOCs
Cristina Alonso-Fernandez & Ruth Cobos
Computer Science Department
Universidad Autónoma de Madrid, Spain
cristina.alonsof@uam.es|ruth.cobos@uam.es
2. Study Type
Motivation
2
The recognition of learning techniques can be used to
motivate learners, identify their progress, and provide
credentials for their learning and achievements
Recognition of Learning
Both Learning Management Systems (LMSs), commonly
used in traditional formal education, and Massive Open
Online Courses (MOOCs), widely used in distance education
The purpose of this study is to bring together the research conducted
in the recognition of learning using different techniques and in
various contexts. The goal is to provide a comprehensive overview of
the field, including a review of previous works, challenges, and
experiences.
Platform
Platform
Why?
Where?
What?
3. Outline
➢ Motivation
➢ Proposal: Meta-review
➢ Research Questions
➢ Search process
➢ Flow diagram of the meta-review
➢ Summary of studies included in the meta-review
➢ Results
➢ Conclusions & Future Work
3
4. Research Questions
➢ RQ1: What literature review or overview works exist regarding
recognition of learning in LMSs and/or MOOCs?
➢ RQ2: Which platform (LMS or MOOC) do the reviewed works
focus on?
➢ RQ3: Which techniques do the reviewed works use for
recognition of learning?
➢ RQ4: What are the conclusions drawn from the reviewed works?
➢ RQ5: What are the limitations and future areas of work pointed
out by the reviewed works?
4
5. Study Type
Search
5
(“badges” OR “microcredentials” OR “micro credentials” OR
“rewards for learning” OR “recognition of learning”)
Recognition of Learning
(“MOOC*” OR “Massive Open Online Course*”
OR “LMS*” OR “Learning Management
System*” OR “Moodle” OR “edX”)
(“systematic mapping" OR "state of the art" OR “systematic
review” OR “literature review” OR “research review” OR
“research synthesis” OR “challenges” OR “experiences”)
Platform
Platform
AND
AND
6. Process
6
Two-step selection process:
1. The title, abstract and keywords of each study were scanned
to determine if they met the inclusion / exclusion criteria.
Studies whose abstract clearly showed that they were not
relevant for this meta-review were excluded.
2. For all remaining studies, their full text was retrieved.
For the remaining studies, a quality assessment was performed.
The assessment tool was based on the JBI checklist for systematic
reviews and research syntheses. https://jbi.global/sites/default/files/2021-10/Checklist_for_Systematic_Reviews_and_Research_Syntheses.docx
7. Process: inclusion and exclusion criteria
7
Inclusion Criteria Exclusion Criteria
1. Journal and conference articles 1. Articles that present a single case study
analyzing some recognition of learning in a single
MOOC course or LMS
2. Articles that perform a literature review about
recognition of learning in LMSs and/or MOOCs
2. Articles that have not been peer-reviewed
3. Articles that aggregate multiple experiences,
challenges or provide a general overview of
recognition of learning in LMSs and/or MOOCs
3. Articles whose full text is not available
4. Articles not written in English
8. Flow diagram of the meta-review
8
Databases:
Quality assessment: 11 items
Selection Process
&
Inclusion / Exclusion criteria
title
abstract
keywords
9. Summary of studies included in the meta-review
9
Study Publication
year
Publication
type
Country of authors Platform Recognition of
Learning
Study Type
[1] 2017 Conference Portugal MOOC/LMS Badges Review/Experiences
[2] 2018 Conference Jamaica,
Netherlands
LMS Badges Challenges/Experiences
[3] 2017 Conference USA LMS Badges Challenges/Experiences
[4] 2021 Journal Turkey MOOC/LMS Badges Review
[5] 2018 Journal USA MOOC Badges Challenges
[6] 2017 Journal Austria MOOC Badges Challenges/Experiences
[7] 2018 Conference Austria, Polonia MOOC Micro credentials Review
[8] 2018 Conference Austria,
Netherlands
MOOC Badges Review
[9] 2019 Journal Mexico MOOC Badges Experiences
[10] 2020 Conference Germany, Italy MOOC/LMS Badges/Micro credentials Experiences
10. Results
10
RQ1: What literature
review or overview works
exist regarding recognition
of learning in LMSs
and/or MOOCs?
RQ2: Which platform
(LMS or MOOC) do
the reviewed works
focus on?
RQ3: Which techniques do the
reviewed works use for
recognition of learning?
11. Results
11
RQ4: What are the conclusions drawn from the reviewed works?
➢ 2 studies address recognition of learning in LMSs
➢ Uses of digital badges in education, mainly for motivation
➢ Issues when using badges in Moodle
➢ 3 studies address recognition of learning in LMSs + mention MOOCs
➢ Gamification mainly in Moodle
➢ flipped learning
➢ 5 studies focus on MOOCs
➢ Gamification in MOOCs
➢ Assessment, certification and micro credentials
12. Results
12
RQ5: What are the limitations and future areas of work pointed out by the
reviewed works?
➢ More research needed
➢ Current studies provide insufficient evidence to generalize results
➢ Studies needed over longer periods of time
➢ Studies needed with larger sample size
➢ Recognition of learning needs to be considered from the early design of
MOOCs and LMSs
➢ The learning activities associated with such badges or other recognition of
learning tools should be carefully planned, and feedback should be given to
students on their performance
13. Results
13
Study Topic Conclusions Recommendations
[1] Badges in education Badges mainly used for motivating students Clearly define purpose and use of badges
[2] Badges in Moodle Importance of technology in the use of badges Plan and map learning activities with badges
[3] Gamification in Moodle Gamification used to increase motivation Include immediate feedback and possibility to
repeat tasks
[4] Gamification in flipped learning Positive effects of including gamification Include game element in flipped learning
[5] Assessment in MOOCs Importance of including assessment Peer assessment is the most adequate approach
[6] Certification in MOOCs Collecting badges impacts motivation Include participation badges for motivation
[7] Microcredentials for entrepreurship
education
Microcredentials offer is rapidly increasing Evaluate MOOCs for EU consistency
[8] Gamification in MOOCs Badges and leaderboards most used Studies needed on gamificationin MOOCs
[9] Gamification in MOOCs on energy
sustainability
Positive effect on engagement and completion MOOCs should include storytelling elements
[10] Gamification in mini-MOOCs Positive effect of some design elements on
engagement
Include flexible learning pathways, self-
assessment, and learning supports
14. ➢ The meta-review conducted has revised 10 overview or literature review
studies of recognition of learning techniques in LMSs and MOOCs
➢ These studies provide an overview of this broad field that could be used for
future research on the area
➢ The studies reviewed include different types of gamification and recognition
of learning techniques, with more studies focusing on MOOCs than in LMSs
(mainly Moodle)
➢ Badges are the preferred way for recognition of learning in the studies
➢ Results show that the addition of these techniques positively impacts learners’
motivation and engagement
Conclusions
14
15. ➢ More databases and terms may be included to expand the search scope
➢ We consider the recommendations made by authors, studying applications
in longer periods of time and sample sizes, and combining different
data types (e.g., learning analytics)
➢ These applications may also consider different stakeholders and learning
environments, all of which can benefit from the use of recognition of
learning techniques
Future Work
15
16. [1] I. Araújo, C. Santos, L. Pedro, and J. Batista, “Digital badges on education: Past, present and future,” in Proceedings of the 4th European
Conference on Social Media, ECSM 2017, 2017, pp. 27–35. Accessed: Dec. 04, 2022. [Online]. Available: https://doi.org/10.1007/s10639-013-
9291-7
[2] L. Facey-Shaw, M. Specht, J. Bartley-Bryan, and P. van Rosmalen, “Technological and implementation issues in moodle-based digital badge
system,” in Proceedings of the European Conference on Games-based Learning, 2018, vol. 2018-October, pp. 82 – 90. [Online]. Available:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058967859&partnerID=40&md5=046d02cbc74cb9cd28e6d2005ec25f37
[3] Z. Mahmud, P. J. Weber, and J. P. Moening, “Gamification of engineering courses,” in ASEE Annual Conference and Exposition, Conference
Proceedings, 2017, vol. 2017-June.
[4] M. Ekici, “A systematic review of the use of gamification in flipped learning,” Educ Inf Technol (Dordr), vol. 26, no. 3, pp. 3327–3346, May
2021, doi: 10.1007/s10639-020-10394-y.
[5] Y. Xiong and H. K. Suen, “Assessment approaches in massive open online courses: Possibilities, challenges and future directions,” International
Review of Education, vol. 64, no. 2, pp. 241–263, Apr. 2018, doi: 10.1007/s11159-018-9710-5.
[6] M. Kopp and M. Ebner, “Certification of MOOCs. Advantages, Challenges and Practical Experiences,” Revista Española de Pedagogía, vol. 75,
no. 266, pp. 83–100, May 2017, doi: 10.22550/REP75-1-2017-12.
[7] C. Resei, C. Friedl B, and A. Żur, “MOOCs and entrepreneurship education-contributions, opportunities and gaps,” in International
Entrepreneurship as the Bridge between International Economics and International Business: Conference Proceedings of the 9th ENTRE
Conference, 2018, pp. 12–14.
[8] M. Khalil, J. Wong, B. de Koning, M. Ebner, and F. Paas, “Gamification in MOOCs: A review of the state of the art,” in IEEE Global
Engineering Education Conference, EDUCON, May 2018, vol. 2018-April, pp. 1629–1638. doi: 10.1109/EDUCON.2018.8363430.
[9] L. M. Romero-Rodriguez, M. S. Ramirez-Montoya, and J. R. V. Gonzalez, “Gamification in MOOCs: Engagement Application Test in Energy
Sustainability Courses,” IEEE Access, vol. 7, pp. 32093–32101, 2019, doi: 10.1109/ACCESS.2019.2903230.
[10] I. Buchem, C. Carlino, F. Amenduni, and A. Poce, “Meaningful Gamification in MOOCs. Designing and Examining Learner Engagement in
the Open Virtual Mobility Learning Hub,” in 14th International Technology, Education and Development Conference (INTED2020 Proceedings),
Mar. 2020, vol. 1, pp. 9529–9534. doi: 10.21125/inted.2020.1661.
References
16
18. 18
Social Network of Learning Analytics
Red Temática Española de Analítica de Aprendizaje
https://snola.es/
Red de Investigación y Desarrollo de Tecnologías Educativas en la
Comunidad de Madrid.
http://www.emadridnet.org
https://vghia.ii.uam.es/member?filepath=cobos_ruth.txt
https://vghia.ii.uam.es
Ruth Cobos
18
https://www.contic.udl.cat/es/miembro/ruth-cobos-perez