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Proposed Standards of Designing Microcontent in Digital Learning Environment
Dr.TaghreedAlrehaili
Abstract: This study aimed to investigate the proposed standards of designing microcontent in a digital
learning environment. The research used the analytical descriptive research procedures based on
deliberative inquiry approach in the presentation, study and analysis of the researches to obtain the
standards. A final list of 4 standards and 62 indicators can be used to design microcontent in digital
learning environments for application in digital education and training fields.
Key words: Instructional Design, Microcontent, Content Chunking, Microlearning, Digital Learning
Environments.
950
Souza, Torres,
de Carvalho, Evangelista, Amaral, 2015
Microlearning
Bruck,
Motiwalla, & Foerster, 2012
chunks
Sekhon
& Hartley, 2014
Koedinger, Corbett, & Perfetti, 2012
content
deliveryuser interaction
small chunks
Bruck et al., 2012
Sun, Cui, Yong, Shen, & Chen, 2015; Sun, Cui,
Yong, Shen, & Chen, 2018Park & Kim, 2018
Taylor, 2017
Mosel, 2005
951
Sekhon, & Hartley, 2014; Izabel et al., 2015; Sun et al., 2018
Matthews et al., 2014
Sekhon, & Hartley, 2014
-
-
-
-
-
-
MOOCs
952
- Standers2011
- Indicators2020
.
- Microcontent Design2009
2009, Branch
- MicrocontentAlexander, 20082.0
- Content ChunkingMunyofu, Swain, Ausman, Lin, Kidwai, & Dwyer,
2007
.
Chunk
15
- Digital Learning Environments Mott, Nyland, Williams,
Atkinson, & Ceglia, 2017
953
-
- 10
-
-
Semingson, Crosslin, & Dellinger, 2015
Jaokoar, 2007; Sun et al., 2018
Nagy, Molnár, Szenkovits, Horváth-Czinger, & Szűts,
2018
Izabel,
Souza, & Torres, 2015
Bruck et al., 2012
954
Souza, Torres, de Carvalho, Evangelista, & do
Amaral, 2015
lifelong learningGassler, Hug, & Glahn,
2004
Nikou & Economides, 2018D’Errico,
2016
Liao & Zhu, 2012
Bruck et al., 2012KnowledgePulse
86
Matthews, Hin, & Choo, 2014
Nikou & Economides, 2018
MBmLA
Guo, Kim, &
Rubin, 2014a mixed methods approach6.9
edX MOOCMIT, Harvard,
Berkeley
6
6
Zhang & Ren, 2011
Sun et al., 2018
955
Kamilali & Sofianopoulou, 2015
5
15
Microcontent
Hug, 2006
Liao &
Zhu, 2012
Mosel,
2005
Complete Learning ExperienceSun
et al., 2018
Matthews et al., 2014; Souza & Amaral, 2014;
Pajarito & Feria, 2015
breaking contentsmaller chunks
single
learning outcomeMatthews et al., 2014
Lindner, 2007
Chunking
956
Gilchrist & Cowan, 2012;
Gobet & Lane, 2012; Rabinovich, Varona, Tristan, & Afraimovich, 2014
chunkmaximally compressed
codeChunksMathy & Feldman, 2012
Gobet & Lane, 2012
Information Density
chunks
Newman, 2010
Rabinovich et al., 2014Lah,
Saat, & Hassan, 2014
Gobet & Lane, 2012
Rabinovich et al., 2014
Belcher, 2018Hitt & Smith, 2017
Munyofu, Swain, Ausman, Lin, Kidwai, & Dwyer, 2007
Fountain & Doyle, 2012
Cowan, 2014
Nagy et al.,
2018
Belcher, 2018
Lah et al., 2014
The template theory
schema theory
957
information processing theoryBanas
& Velez-Solic, 2013Chunking Theory
ChaseSimon1973
Gobet & Lane, 2012
chunk-based theories
Gobet, 2005chunk-
based modelsGobet, 2005
information- processing
cognitive learningcognitive loadHsieh, 2017
Robinet, Lemaire, &
Gordon, 2011chunking
cognitive demandMcGuire,
2017
Fountain & Doyle, 2012
2016
2020
958
Yuan & Guo, 2013a
Souza & Amaral, 2014
Mendes Dos Santos Gerbaudo, Gaspar, Marangoni De Bona, Camara Cesar, &
Alves, 2018a business model
Park & Kim, 2018
flash, HTML5, H5P
Jahnke, Lee, Pham, He, & Austin, 2020thematic analysis
constant comparative
959
15
Mercurio, Torre, & Torsani, 2011
Yuan & Guo, 2013b
Pajarito & Feria, 2015MicroCAS
packaging
Deliberative inquiry
approach
-
Gobet, 2005; Lindner, 2006; Hug, 2007; Lindner,
2007; Hailikari, Katajavuori, & Lindblom-Ylänne, 2008; Buchem & Henrike, 2010;
Hug, 2010; Zhang & Ren, 2011; Gilchrist & Cowan, 2012; Lah et al., 2014;
960
Matthews et al., 2014; Izabel et al., 2015; Sun et al., 2015; Cz., 2016; D’Errico,
2016; Taylor, 2017; Nagy et al., 2018; Nikou & Economides, 2018; WU & ZHU,
2018
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466
16
20
14
16
- 1829
144110
1
- 20
5
- 4
62
15
20
12
15
1
1
1
2
3
4
5
6
7
8
9
961
10
11
12
13
14
15
16
17
18
19
20
learning points
21
22
23
24
25
26
27
28
29
30
31
improving spiral
32
33
Similar
chunking
34
Mixed chunking
35
characteristic chunking
36
37
962
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39
40
41
42
43
44
45
46
47
48
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50
51
52
53
54
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62
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4
963
62
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-
964
2011
http://www.alecso.org/nsite/ar/newscat/1122 2016
552340
2020
4162251
2009http://www.cndp.dz/
2020 https://terms.abegs.org
References:
Alexander, B. (2008). Web 2.0 and Emergent Multiliteracies.
Theory into
Practice
, 47(2), 150–160.
Banas, J., & Velez-Solic, A. (2013). Designing effective online instructor training and
professional development. In J. Keengwe, & L. Kyei-Blankson (Eds.),
Virtual mentoring
for teachers: Online professional development practices
(pp. 1–25). Hershey, PA: IGI
Global.
Belcher, T. G. (2018).
The effects of randomized appearance of text chunks in nurse
eLearning lessons
(Unpublished doctoral thesis). Kansas State University, United
States.
Bruck, P. A., Motiwalla, L., & Foerster, F. (2012). Mobile learning with micro-content:
A framework and evaluation.
Proceedings of the 25th Bled eConference
(pp. 527-542).
Bled, Salvinia: University of Maribor.
Cowan, N. (2014). Working memory underpins cognitive development, learning, and
education
. Educational Psychology Review
, 26(2), 197–223.
Cz., J. (2016). Micro-content generation framework as a learning innovation. In A.
Benedek & A. Veszelszki (Eds.),
In the Beginning was the Image: The Omnipresence
965
of Pictures: Time, Truth, Tradition
(pp. 171-180). Frankfurt am Main, Germany: Peter
Lang AG.
D’Errico, D. (2016). Mobile learning: What’s it good for? absolutely everything (That
needs to be done now).
Workforce Solutions Review
, 7(3), 11–13.
Fountain, S. B., & Doyle, K. E. (2012). Learning by chunking. In N. M. Seel (Ed.),
Encyclopedia of the Sciences of Learning
. Retrieved from
https://link.springer.com/referenceworkentry/10.1007%2F978-1-4419-1428-6_1042
Gassler, G., Hug, T., & Glahn, C. (2004). Integrated micro learning – An outline of the
basic method and first results.
Proceedings of the International Conference on Interactive
Computer Aided Learning
(pp. 1-7). Villach, Austria: Kassel University Press.
Gilchrist, A. L., & Cowan, N. (2012). Chunking. In V. Ramachandran (Ed.),
The
Encyclopedia of Human Behavior
(2nd ed., pp. 476-483). San Diego, CA: Academic
Press.
Gobet, F. (2005). Chunking models of expertise: Implications for education.
Applied
Cognitive Psychology
, 19(2), 183–204.
Gobet, F., & Lane, P. C. R. (2012). Chunking mechanisms and learning. In N. M. Seel
(Ed.),
Encyclopedia of the Sciences of Learning. Boston
, MA: Springer.
Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student
engagement: An empirical study of MOOC videos.
Proceedings of the first ACM
conference on Learning @ scale conference
(pp. 41-50). Atlanta, Georgia:
Association for Computing Machinery (ACM).
Hitt, A. M., & Smith, D. (2017). Filling in the gaps: An explicit protocol for scaffolding
inquiry lessons.
Science Educator
, 25(2), 133-141.
Hsieh, B. (2017). Step by Step, Slowly I Flip. In L. S. Green, J. R. Banas, & R. Perkins
(Eds.),
The Flipped College Classroom: Conceptualized and Re-Conceptualized.
Educational Communications and Technology: Issues and Innovations
(pp. 11-36).
Cham, Switzerland: Springer.
Hug, T. (2006). Microlearning: A new pedagogical challenge (introductory note). In T.
Hug, M. Lindner, & P. A. Bruck (Eds
.), Microlearning: Emerging Concepts, Practices
and Technologies After E-Learning: Proceedings of Microlearning Conference 2005:
966
Learning & Working in New Media
(pp. 8-11). Innsbruck, Austria: Innsbruck University
Press.
Hug, T. (2007).
Didactics of microlearning: Concepts, discourses and examples
.
Münster Germany: Waxmann
Hug, T. (2010). Mobile learning as ’microlearning’: Conceptual considerations towards
enhancements of didactic thinking.
International Journal of Mobile and Blended
Learning
, 2(4), 47-57.
Izabel, M., Souza, F., & Torres, T. Z. (2015). Method for educational microcontent
production.
International Journal of Science and Research
, 4(11), 1472–1482.
Jahnke, I., Lee, Y., Pham, M.T., He, H., & Austin, L.T. (2020). Unpacking the Inherent
Design Principles of Mobile Microlearning.
Technology, Knowledge and Learning
, 25,
585–619.
Jaokoar, A. (2007). Mobile web 2.0: Designing open gardens for tomorrow’s
microcontent-based education. In M. Lindner & P. A. Bruck (Eds.),
Micromedia and
Corporate Learning: Proceedings of the 3rd International Microlearning 2007 Conference
(pp. 34-42). Innsbruck, Austria: Innsbruck University Press.
Kamilali, D., & Sofianopoulou, Ch. (2015). Microlearning as innovative pedagogy for
mobile learning in MOOCs.
Proceedings of the 11th International Conference Mobile
Learning
(pp. 127-131). Madeira, Portugal: IADIS.
Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012). The knowledge-learning-
instruction framework: Bridging the science-practice chasm to enhance robust student
learning.
Cognitive Science
, 36(5), 757–798.
Lah, N. C., Saat, R. M., & Hassan, R. (2014). Cognitive strategy in learning chemistry:
How chunking and learning get together.
Malaysian Online Journal of Educational
Sciences
, 2(1), 9-15.
Liao, S., & Zhu, C. (2012). Micro-learning based on social networking.
Proceedings of
2nd International Conference on Computer Science and Network Technology
(pp. 1163–
1166). Changchun, China: IEEE.
Lindner, M. (2006). Human-centered Design for 'Casual' Information and Learning in
Micromedia Environments. In M. Pohl, A. Holzinger, R, Motschnig-Pitrik, & C. Swertz
967
(Eds.), HCI & Usability: M3 –
Interdisciplinary Aspects on Digital Media & Education.
2nd Symposium of the Workgroup HCI&UE of the Austrian Computer Society (OCG),
USAB 2006
(pp. 52-60). Austria, Vienna: Austrian Computer Society (OCG).
Lindner, M. (2007). What Is Microlearning In M. Lindner & P. A. Bruck (Eds.),
Micromedia and Corporate Learning: Proceedings of the 3rd International Microlearning
2007 Conference
(pp. 52-62). Innsbruck, Austria: Innsbruck University Press.
Mathy, F., & Feldman, J. (2012). What’s magic about magic numbers? Chunking and
data compression in short-term memory.
Cognition, 122
(3), 346–362.
Matthews, R., Hin, H. S., & Choo, K. A. (2014). Learning object to enhance introductory
programming understanding: Does the size really matter?
Turkish Online Journal of
Educational Technology
, 13(1), 174–183.
McGuire, B. (2017). Principles for effective asynchronous online instruction in religious
studies.
Teaching Theology & Religion, 20
(1), 28-45.
Mendes Dos Santos Gerbaudo, J. R., Gaspar, R., Marangoni De Bona, C., Camara
Cesar, N. L. O., & Alves, G. F. (2018).
Proposed Business Model of a Microlearning-
based Platform for Continuing Professional Education of Industry Members. Proceedings
of the 4th Workshop on Innovative Engineering for Fluid Power – WIEFP 2018
(pp. 46-
51). São Paulo, Brazil: Linköping University Electronic Press.
Mercurio, M., Torre, I., & Torsani, S. (2011). Design of Adaptive Micro-Content in
Second Language Acquisition.
Journal of e-learning and knowledge society, 7,
109-
119.
Mosel, S. (2005). Self-directed learning with personal publishing and microcontent:
Constructivist approach and insights for institutional implementations.
Proceedings of
Microlearning Conference 2005, Innsbruck, Austria: Innsbruck University Press.
Retrieved from https://microlearning.org/micropapers/MLproc_2005_mosel.pdf
Mott, J., Nyland, R., Williams, G., Atkinson, M., & Ceglia, A. (2017). The Next-
Generation CBE Architecture: A Learning-Centric Standards-Based Approach. In
Rasmussen, K., Northrup, P., & Colson, R. (Ed.),
Handbook of Research on
Competency-Based Education in University Settings
(pp. 134-156). IGI Global.
http://doi:10.4018/978-1-5225-0932-5.ch007
968
Munyofu, M. M., Swain, W. J., Ausman, B. D., Lin, H., Kidwai, K., & Dwyer, F.
(2007). The effect of different chunking strategies in complementing animated
instruction.
Learning, Media & Technology, 32
(4), 407-419.
Nagy, K., Molnár, G., Szenkovits, B., Horváth-Czinger, J. & Szűts, Z. (2018).
Gamification and microcontent orientated methodological solutions based on bring-your-
own device logic in higher education.
Proceedings of the 9th IEEE International
Conference on Cognitive Infocommunications: CogInfoCom
(pp. 385-388). Piscataway,
NJ: IEEE Computational Intelligence Society.
Newman, C. C. (2010).
Information scaffolding: Application to technical animation
(Unpublished doctoral thesis). University of California, United States.
Nikou, S. A., & Economides, A. A. (2018). Mobile-based micro-learning and
assessment: Impact on learning performance and motivation of high school
students.
Journal of Computer Assisted Learning, 34
(3), 269-278.
Pajarito, K., & Feria, R. (2015). MicroCAS: Design and implementation of proposed
standards in micro-learning on mobile devices.
Proceedings of the 6th International
Conference on Information, Intelligence, Systems & Applications: IISA
(pp. 1-5). Corfu,
Greece: Ionian University.
Park, Y., & Kim, Y. (2018). A design and development of micro-learning content in e-
learning system.
International Journal on Advanced Science, Engineering and
Information Technology, 8
(1), 56-61.
Rabinovich, M. I., Varona, P., Tristan, I., & Afraimovich, V. S. (2014). Chunking
dynamics: Heteroclinics in mind.
Frontiers in computational neuroscience, 8
(22).
doi:10.3389/fncom.2014.00022
Branch, R.M (2009). Instructional Design: The ADDIE Approach. Springer.
Robinet, V., Lemaire, B., & Gordon, M. B. (2011). MDLChunker: a MDL-based
cognitive model of inductive learning.
Cognitive Science, 35
(7), 1352–1389.
Sekhon, M., & Hartley, D. (2014).
Basics of e-learning revisited
. Alexandria, VA:
American Society for Training & Development.
Semingson, P., Crosslin, M., & Dellinger, J. (2015). Microlearning as a tool to engage
students in online and blended learning. In D. Rutledge & D. Slykhuis (Eds
.),
969
Proceedings of Society for Information Technology & Teacher Education International
Conference 2015
(pp. 474–479). Chesapeake, VA: Association for the Advancement
of Computing in Education (AACE).
Souza, F. M. I., & Amaral, S. F. (2014). Educational microcontent for mobile learning
virtual environments.
Creative Education
, 5(9), 672-681.
Souza, M. I. F., Torres, T. Z., de Carvalho, J. R. P., Evangelista, S. R. M., & do
Amaral, S. F. (2015). Non-formal education for technology transfer in embrapa:
Microlearning, microtraining and microcontent by mobile devices.
Proceedings of the 7th
International Conference on Education and New Learning Technologies, EDULEARN15
(pp. 5728-5736). Barcelona, Spain: International Academy of Technology, Education
and Development IATED.
Sun, G., Cui, T., Yong, J., Shen, J., & Chen, S. (2015). Drawing micro learning into
MOOC: Using fragmented pieces of time to enable effective entire course learning
experiences.
Proceedings of 19th International Conference on Computer Supported
Cooperative Work in Design CSCWD
(pp. 308-313). Calabria, Italy: IEEE.
Sun, G., Cui, T., Yong, J., Shen, J., & Chen, S. (2018). MLaaS: A cloud-based system
for delivering adaptive micro learning in mobile MOOC learning.
IEEE Transactions on
Services Computing, 11
(2), 292-305.
Taylor, D. (2017).
L&D global sentiment survey 2017
. London. Retrieved
http://donaldhtaylor.co.uk/wp-content/uploads/GSS-2017-V6-print.pdf
WU, J. & ZHU, D. (2018). The Intrinsic Representation and Design Logic of Educational
Microcontent.
Journal of Educational Science of Hunan Normal University,
3, Retrieved
http://en.cnki.com.cn/Article_en/CJFDTotal-FLJY201803005.htm
Yuan, X. & Guo, G. (2013a). The design and obtainment of micro mobile learning
content expression forms.
Proceedings of the 3rd International Conference on Consumer
Electronics, Communications and Networks
(pp. 676-679), Xianning, China: IEEE.
Yuan, X., & Guo, G. (2013b). Exploration on the Design and Development of Micro
Mobile Learning Resources.
Proceedings of the International Conference on Education
Technology and Information System ICETIS 2013
(pp. 895-899). Sanya, China: Atlantis
Press.
970
Zhang, X., & Ren, L. (2011). Design for application of micro learning to informal training
in enterprise.
Proceedings of 2nd International Conference on Artificial Intelligence,
Management Science and Electronic Commerce: AIMSEC
(pp. 2024–2027). Dengleng,
China: IEEE.