research-article

Learning Channels to Support Interaction and Collaboration in CourseMapper

Authors:

Mohamed Amine Chatti,

Benjamine Stella Wobiwo Teda,

Rawaa AlatrashAuthors Info & Claims

ICETC '22: Proceedings of the 14th International Conference on Education Technology and Computers

Pages 252 - 260

https://doi.org/10.1145/3572549.3572590

Published: 13 February 2023 Publication History

Abstract

Massive Open Online Courses (MOOCs) have proved to be revolutionary in the development and widespread of educational technology over the past few years. It has been identified that these systems, despite all the benefits, lack interaction and collaboration around learning materials. This paper explores how to leverage learning channels to support interaction and collaboration in MOOC environments. We present the design, implementation, and evaluation details of learning channels in CourseMapper, a MOOC platform which supports collaboration and interaction around learning materials using collaborative Pdf and video annotations. More specifically, we report on the application and results of a human-centered design (HCD) approach used to systematically design learning channels. Three design iterations with five new users in each iteration (N=15) were conducted from an initial user interview to the final design. After the development, user experience with the system was evaluated with end users (N=10) based on the Technology Acceptance Model (TAM). The evaluation results show that the introduction of learning channels provides a valuable mechanism to support effective interaction and collaboration in a MOOC environment.

References

[1]

Costales, J., Abellana, J., Gracia, J., Devaraj, M., 2021. A learning assessment applying pomodoro technique as a productivity tool for online learning, in 13th International Conference on Education Technology and Computers, pp. 164–167.

Digital Library

[2]

Han, X., Wang, Y., Zhang, T., 2015. Reorienting education with distance blended and online learning—a review of “preparing for the digital university” and implications for learning and teaching in a digital age. Modern Distance Education Research 5, 3–11.

[3]

Meneses, E.L., Cano, E.V. and Graván, P.R., 2015. Analysis and Implications of the Impact of MOOC Movement in the Scientific Community: JCR and Scopus (2010-13). Comunicar. Media Education Research Journal, 23(1).

[4]

Gulatee, Y. and Nilsook, P., 2016. MOOC's barriers and enables. International Journal of Information and Education Technology, 6(10), pp.826-830.

[5]

Yousef, A.M.F., Chatti, M.A., Schroeder, U., Wosnitza, M. and Jakobs, H., 2014. A Review of the State-of-the-Art. Proceedings of CSEDU, 13.

[6]

Bralić, A. and Divjak, B., 2016, October. Use of MOOCs in traditional classroom: blended learning approach. In EDEN Conference Proceedings (No. 2, pp. 34-43).

[7]

Shailaja, J. and Prathikantham, S., 2018. Survey on Understanding the implications of MOOCs in Engineering Education. Journal of Engineering Education Transformations, 31(Special Issue).

[8]

Akgül, Y., 2018. Accessbility evaluation of moocs’ websites of turkey. Journal of Life Economics, 5(4), pp.23-36.

[9]

Sigama, K. and Kalema, B.M., 2018, November. Conceptualizing moocs implementation for higher education in developing countries. In 2018 IEEE 6th International Conference on MOOCs, Innovation and Technology in Education (MITE) (pp. 14-18).

[10]

Chatti, M.A., Marinov, M., Sabov, O., Laksono, R., Sofyan, Z., Fahmy Yousef, A.M. and Schroeder, U., 2016. Video annotation and analytics in CourseMapper. Smart Learning Environments, 3(1), pp.1-21.

[11]

Zhang, S., Wang, Y., Yi, T. and Li, C., 2021, October. Investigating Online Learning Experience of Chinese University Students during the COVID-19. In 2021 13th International Conference on Education Technology and Computers (pp. 209-213).

[12]

Li, C. and Zhou, H., 2018. Enhancing the efficiency of massive online learning by integrating intelligent analysis into MOOCs with an application to education of sustainability. Sustainability, 10(2), p.468.

[13]

A. M. F. Yousef, M. A. Chatti, U. Schroeder, M. Wosnitza and H. Jakobs, “MOOCs - A Review of the State-of-the-Art” in Proceedings of the CSEDU 2014 conference, Vol. 3, pp. 9-20. INSTICC, 2014.

[14]

Ke, F. and Kwak, D., 2013. Online learning across ethnicity and age: A study on learning interaction participation, perception, and learning satisfaction. Computers & education, 61, pp.43-51.

[15]

Kim, J.K. and Yan, L.N., 2014. Effects of Learner Characteristics on Learning Outcomes in the Learning Situation Incorporating SNS. International Journal of Software Engineering and Its Applications, 8(5), pp.163-176.

[16]

Delen, E., Liew, J. and Willson, V., 2014. Effects of interactivity and instructional scaffolding on learning: Self-regulation in online video-based environments. Computers & Education, 78, pp.312-320.

Digital Library

[17]

Yousef, A.M.F., Chatti, M.A. and Schroeder, U., 2014. The state of video-based learning: A review and future perspectives. International Journal on Advances in Life Sciences, 6(3), pp.122-135.

[18]

Khurana, K. and Chandak, M.B., 2013. Study of various video annotation techniques. International Journal of Advanced Research in Computer and Communication Engineering, 2(1), pp.909-914.

[19]

Yousef, A.M.F., Chatti, M.A., Danoyan, N., Thüs, H. and Schroeder, U., 2015. Video-mapper: A video annotation tool to support collaborative learning in moocs. Proceedings of the Third European MOOCs Stakeholders Summit EMOOCs, pp.131-140.

[20]

Chen, C.M. and Chen, F.Y., 2014. Enhancing digital reading performance with a collaborative reading annotation system. Computers & Education, 77, pp.67-81.

[21]

Marshall, C.C., 1997, July. Annotation: from paper books to the digital library. In Proceedings of the second ACM international conference on Digital libraries (pp. 131-140).

Digital Library

[22]

Su, A.Y., Yang, S.J., Hwang, W.Y. and Zhang, J., 2010. A Web 2.0-based collaborative annotation system for enhancing knowledge sharing in collaborative learning environments. Computers & Education, 55(2), pp.752-766.

Digital Library

[23]

Hwang, W.Y., Wang, C.Y. and Sharples, M., 2007. A study of multimedia annotation of Web-based materials. Computers & Education, 48(4), pp.680-699.

Digital Library

[24]

Palinscar, A.S. and Brown, A.L., 1984. Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and instruction, 1(2), pp.117-175.

[25]

Nor, N.F.M., Azman, H. and Hamat, A., 2013. Investigating Students' Use of Online Annotation Tool in an Online Reading Environment. 3L: Southeast Asian Journal of English Language Studies, 19(3).

[26]

Marshall, C.C., 1997, July. Annotation: from paper books to the digital library. In Proceedings of the second ACM international conference on Digital libraries (pp. 131-140).

Digital Library

[27]

Nokelainen, P., Miettinen, M., Kurhila, J., Floréen, P. and Tirri, H., 2005. A shared document‐based annotation tool to support learner‐centred collaborative learning. British Journal of Educational Technology, 36(5), pp.757-770.

[28]

Ovsiannikov, I.A., Arbib, M.A. and McNeill, T.H., 1999. Annotation technology. International journal of human-computer studies, 50(4), pp.329-362.

[29]

Wolfe, J., 2002. Annotation technologies: A software and research review. Computers and Composition, 19(4), pp.471-497.

[30]

Norman, D., 2013. The design of everyday things: Revised and expanded edition. Basic books.

[31]

Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, pp.319-340.

Cited By

Ain QChatti MMeteng Kamdem PAlatrash RJoarder SSiepmann C(2024)Learner Modeling and Recommendation of Learning Resources using Personal Knowledge GraphsProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636881(273-283)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3636555.3636881
Alatrash RChatti MAin QJoarder SBoratto LGena CMarras MGermanakos PPopescus E(2024)Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural NetworksAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3665230(591-596)Online publication date: 27-Jun-2024
https://dl.acm.org/doi/10.1145/3631700.3665230
Jiang JFryer L(2024)A scoping review: what kind of built-in social tools keep students in MOOCs?Education and Information Technologies10.1007/s10639-024-12987-3Online publication date: 6-Sep-2024
https://doi.org/10.1007/s10639-024-12987-3

Index Terms

Learning Channels to Support Interaction and Collaboration in CourseMapper
1. Applied computing
  1. Education
    1. Interactive learning environments
2. Human-centered computing
  1. Human computer interaction (HCI)

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ICETC '22: Proceedings of the 14th International Conference on Education Technology and Computers

October 2022

628 pages

ISBN:9781450397766

DOI:10.1145/3572549

Copyright © 2022 ACM.

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Publication History

Published: 13 February 2023

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ICETC 2022: 2022 14th International Conference on Education Technology and Computers

October 28 - 30, 2022

Barcelona, Spain

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Cited By

Ain QChatti MMeteng Kamdem PAlatrash RJoarder SSiepmann C(2024)Learner Modeling and Recommendation of Learning Resources using Personal Knowledge GraphsProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636881(273-283)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3636555.3636881
Alatrash RChatti MAin QJoarder SBoratto LGena CMarras MGermanakos PPopescus E(2024)Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural NetworksAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3665230(591-596)Online publication date: 27-Jun-2024
https://dl.acm.org/doi/10.1145/3631700.3665230
Jiang JFryer L(2024)A scoping review: what kind of built-in social tools keep students in MOOCs?Education and Information Technologies10.1007/s10639-024-12987-3Online publication date: 6-Sep-2024
https://doi.org/10.1007/s10639-024-12987-3
Ain QChatti MBakar KJoarder SAlatrash R(2023)Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based ApproachInformation10.3390/info1410052614:10(526)Online publication date: 27-Sep-2023
https://doi.org/10.3390/info14100526

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