Posts by Willem van Valkenburg
Shifting from Blended to Online Learning: Students’ and Teachers’ Perspectives
Article written by Esra Polat, Sonja van Dam and Conny Bakker and published in the Proceedings of the Design Society.
Abstract
The Covid-19 outbreak forced many universities across the world to transition from a traditional or blended format to fully online education. This paper presents a case study on the transition to an online education format for a circular design course. Both quantitative and qualitative data were collected through a survey with 26 students and interviews with six course teachers. The findings revealed that students preferred the on-campus versions over the online course components. They indicated the perceived lack of motivation, lack of sense of community, and a high workload as influencing factors. Teachers indicated the lack of connection with students as a drawback to online education but identified advantages to their teaching and the student’s learning experience. Suggestions for addressing an optimal blended course format are provided.
Keywords
Design education, Online learning, Circular economy, Case study, Covid-19
Reference
Polat, E., Van Dam, S., & Bakker, C. (2021). SHIFTING FROM BLENDED TO ONLINE LEARNING: STUDENTS’ AND TEACHERS’ PERSPECTIVES. Proceedings of the Design Society, 1, 2651-2660. doi:10.1017/pds.2021.526
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License
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Pioneering Online Design Teaching in a MOOC Format: Tools for Facilitating Experiential Learning
Article written by Jaap Daalhuizen and Jan Schoormans and published in International Journal of Design.
Abstract
Providing online design education offers a unique opportunity for learning, by providing high quality learning experiences to distributed audiences for free. It has its challenges as well, particularly when the aim is use ‘active learning’ strategies (Biggs & Tang, 2011), which are necessary when teaching design. In this paper, we report on the development of one of the first massive open online courses (MOOC) in the field of product design. We provide insight into the way the course was designed to stimulate active learning, highlighting the tools that were developed to engage students in a mode of experiential learning (Kolb, 1984). We present the results of the course evaluation, through (post-course) surveys and interviews, focusing on the way the newly developed active learning tools were experienced by the students. We found that experiential learning strategies are applicable to the MOOC context, and that dedicated didactic tools were evaluated more positively in terms of stimulating reflection, motivation and learning that conventional ones. We conclude with an analysis of the outlook on future developments for online design education.
Keywords
Design Education, Design Methods, Massive Open Online Learning.
Reference
Daalhuizen, J., & Schoormans, J. (2018). Pioneering online design teaching in a MOOC format: tools for facilitating experiential learning. International Journal of Design, 12(2), 1-14.
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Online Courses on Business Model Innovation for Practitioners in SMEs
This article is published in the Journal of Business Models (2019), Vol. 7, No. 3.
Abstract
We develop and evaluate five online courses (MOOCs) on business model innovation, tailored to small and medium sized enterprises (SMEs). Six design principles are found for such courses: regarding type and form of learning contents; time investments from participants; practical examples and tools; integration with daily practice; and participative learning.
Keywords
Business model innovation; Online learning; MOOC
Reference
de Reuver, M., Cligge, M., and Haaker, T. (2019), Online courses on business model innovation for practitioners in SMEs, Vol. 7, No. 3, pp. 13-24
Acknowledgements
This publication was developed within the project `Regeling open en online hoger onderwijs’ of the Dutch Ministry of Education, Culture and Science, guided by SURF (www.surf.nl). The course development received part of its funding from the European Community’s Horizon 2020 Program (2014–2020) under grant agreement 645791. The content herein reflects only the authors’ view. The European Commission is not responsible for any use that may be made of the information it contains. We thank the other course team members Harry Bouwman, Gudo Reekers, Stephan Kool, Thea Dullemans and Johannetta Gordijn for invaluable contributions to the courses. We also thank our colleagues from the H2020 ENVISION project. An earlier version of this paper was presented to Open Education Global Conference 2018, and we thank the reviewers and audience for helpful comments.
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MOOC Analytics: Learner Modeling and Content Generation
Doctoral thesis of Guanliang Chen, successfully defended on May 6th 2019.
Abstract
Massive Open Online Courses (MOOCs), as one of the popular options for people to receive education and learn, are endowed with the mission to educate the world. Typically, there are two types of MOOC platforms: topic-agnostic and topic-specific. Topic-agnostic platforms such as edX and Coursera provide courses covering a wide range of topics, while topic-specific MOOC platforms such as Duolingo and Codeacademy focus on courses in one specific topic. To better support MOOC learners, many works have been proposed to investigate MOOC learning in the past decade. Still, there are many other aspects of MOOC learning to be explored.In this thesis, we focused on (i) learner modeling and (ii) generation of educational material for both topic-agnostic and topic-specific MOOC platforms.
Keywords
Reference
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Large-Scale Learning Analytics: Modeling Learner Behavior & Improving Learning Outcomes in Massive Open Online Courses
Doctoral thesis of Dan Davis defended on May 7th 2019.
Keywords
learning analytics, web information systems, learning science, educational data mining, MOOCs
Reference
Davis, D. (2019). Large-Scale Learning Analytics: Modeling Learner Behavior & Improving Learning Outcomes in Massive Open Online Courses. https://doi.org/10.4233/uuid:b8be8302-84a0-4b29-a6fe- 761a3f872420
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Social Presence in MOOCs
This article is published in the international journal IRRODL Vol 19, No 3 (2018).
Abstract
The capacity to foster interpersonal interactions in massive open online courses (MOOCs) has frequently been contested, particularly when learner interactions are limited to MOOC forums. The establishment of social presence—a perceived sense of somebody being present and “real”—is among the strategies to tackle the challenges of online learning and could be applied in MOOCs. Thus far, social presence in MOOCs has been under-researched. Studies that previously examined social presence in MOOCs did not account for the peculiar nature of open online learning. In contrast to the existing work, this study seeks to understand how learners perceive social presence, and the different nuances of social presence in diverse MOOC populations. In particular, we compare perceptions of social presence across the groups of learners with different patterns of forum participation in three edX MOOCs. The findings reveal substantial differences in how learners with varying forum activity perceive social presence. Perceptions of social presence also differed in courses with the varying volume of forum interaction and duration. Finally, learners with sustained forum activity generally reported higher social presence scores that included low affectivity and strong group cohesion perceptions. With this in mind, this study is significant because of the insights into brings to the current body of knowledge around social presence in MOOCs. The study’s findings also raise questions about the effectiveness of transferring existing socio-constructivist constructs into the MOOC contexts.
Keywords
social presence, MOOCs, forum participation
Reference
Poquet, O., Kovanović, V., de Vries, P., Hennis, T., Joksimović, S., Gašević, D., & Dawson, S. (2018). Social Presence in Massive Open Online Courses. The International Review Of Research In Open And Distributed Learning, 19(3). doi:http://dx.doi.org/10.19173/irrodl.v19i3.3370
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Activating learning at scale: A review of innovations in online learning strategies
The Article “Activating learning at scale: A review of innovations in online learning strategies” was published in the journal Computer & Education.
Higlights
- A systematic review on scalable learning strategies was conducted.
- Results synthesize 126 studies including 132,428 participants.
- Large-scale experiments yield a far lower rate of positive results.
- Cooperative, gamified, and interactive learning strategies are the most effective.
Abstract
Making advantage of the vast history of theoretical and empirical findings in the learning literature we have inherited, this research offers a synthesis of prior findings in the domain of empirically evaluated active learning strategies in digital learning environments. The primary concern of the present study is to evaluate these findings with an eye towards scalable learning. Massive Open Online Courses (MOOCs) have emerged as the new way to reach the masses with educational materials, but so far they have failed to maintain learners’ attention over the long term. Even though we now understand how effective active learning principles are for learners, the current landscape of MOOC pedagogy too often allows for passivity — leading to the unsatisfactory performance experienced by many MOOC learners today. As a starting point to this research we took John Hattie’s seminal work from 2008 on learning strategies used to facilitate active learning. We considered research published between 2009 and 2017 that presents empirical evaluations of these learning strategies. Through our systematic search we found 126 papers meeting our criteria and categorized them according to Hattie’s learning strategies. We found large-scale experiments to be the most challenging environment for experimentation due to their size, heterogeneity of participants, and platform restrictions, and we identified the three most promising strategies for effectively leveraging learning at scale as Cooperative Learning, Simulations & Gaming, and Interactive Multimedia.
Keywords
Teaching/learning strategies, Adult learning, Evaluation of CAL systems, Interactive learning environments, Multimedia/hypermedia systems
Reference
Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben (2018) Activating learning at scale: A review of innovations in online learning strategies, Computers & Education, Volume 125, 2018, Pages 327-344, ISSN 0360-1315, https://doi.org/10.1016/j.compedu.2018.05.019.
A Paradigm Shift in Teaching Aerospace Engineering: From Campus Learners to Professional Learners
Article “A Paradigm Shift in Teaching Aerospace Engineering: From Campus Learners to Professional Learners – a Case Study on Online Courses in Smart Structures and Air Safety Investigation” presented at 2018 AIAA Aerospace Sciences Meeting 8–12 January 2018 in Kissimmee, Florida.
Abstract
In this paper, the transition from teaching on-campus to an online audience consisting of working professionals in an Aerospace Engineering context is described. The differences in the learner’s needs and the transition in teaching methods and style that is required from teaching staff is discussed. This is illustrated by two case studies: for Smart Structures and for Air Safety Investigation. Recommendations on how universities can contribute to Life Long Learning are given.
Keywords
aerospace engineering, online education, pedagogical model, mooc, lifelong learning, professional education
Reference
Saunders, G., Rans, C., Schuurman, M., De Breuker, R., & van Staalduinen, J-P. (2018). A Paradigm Shift in Teaching Aerospace Engineering: From Campus Learners to Professional Learners – a Case Study on Online Courses in Smart Structures and Air Safety Investigation. In 2018 AIAA Aerospace Sciences Meeting 8–12 January 2018, Kissimmee, Florida. [AIAA 2018-0810] AIAA. DOI: 10.2514/6.2018-0810
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Exploring communities of inquiry in MOOCs
Article published in journal Computers & Education Volume 119, April 2018, Pages 44–58.
Abstract
This study presents an evaluation of the Community of Inquiry (CoI) survey instrument developed by Arbaugh et al. (2008) within the context of Massive Open Online Courses (MOOCs). The study reports the results of a reliability analysis and exploratory factor analysis of the CoI survey instrument using the data of 1487 students from five MOOC courses. The findings confirmed the reliability and validity of the CoI survey instrument for the assessment of the key dimensions of the CoI model: teaching presence, social presence, and cognitive presence. Although the CoI survey instrument captured the same latent constructs within the MOOC context as in the Garrison’s three-factor model (Garrison et al., 1999), analyses suggested a six-factor model with additional three factors as a better fit to the data. These additional factors were 1) course organization and design (a sub-component of teaching presence), 2) group affectivity (a sub-component of social presence), and 3) resolution phase of inquiry learning (a sub-component of cognitive presence). The emergence of these additional factors revealed that the discrepancies between the dynamics of the traditional online courses and MOOCs affect the student perceptions of the three CoI presences. Based on the results of our analysis, we provide an update to the famous CoI model which captures the distinctive characteristics of the CoI model within the MOOC setting. The results of the study and their implications are further discussed.
Keywords
Community of inquiry model, Massive open online courses, Online learning, Exploratory factor analysis
Reference
Vitomir Kovanović, Srećko Joksimović, Oleksandra Poquet, Thieme Hennis, Iva Čukić, Pieter de Vries, Marek Hatala, Shane Dawson, George Siemens, Dragan Gašević (2018) Exploring communities of inquiry in Massive Open Online Courses, Computers & Education, Volume 119, April 2018, Pages 44-58, ISSN 0360-1315, https://doi.org/10.1016/j.compedu.2017.11.010.
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Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework
This paper is presented at the Fourth (2017) ACM Conference on Learning @ Scale in Cambridge (MA), USA, April 20–21, 2017.
Abstract
In this paper, we demonstrate a first-of-its-kind adaptive intervention in a MOOC utilizing real-time clickstream data and a novel machine learned model of behavior. We detail how we
augmented the edX platform with the capabilities necessary to support this type of intervention which required both tracking learners’ behaviors in real-time and dynamically adapting content based on each learner’s individual clickstream history. Our chosen pilot intervention was in the category of adaptive pathways and courseware and took the form of a navigational suggestion appearing at the bottom of every non-forum content page in the course. We designed our pilot intervention to help students more efficiently navigate their way through a MOOC by predicting the next page they were likely to spend significant time on and allowing them to jump directly to that page. While interventions which attempt to optimize for learner achievement are candidates for this adaptive framework, behavior prediction has the benefit of not requiring causal assumptions to be made in its suggestions. We present a novel extension of a behavioral model that takes into account students’ time spent on pages and forecasts the same. Several approaches to representing time using Recurrent Neural Networks are evaluated and compared to baselines without time, including a basic n-gram model. Finally, we discuss design considerations and handling of edge cases for real-time deployment, including considerations for training a machine learned model on a previous offering of a course for use in a subsequent offering where courseware may have changed. This work opens the door to broad experimentation with adaptivity and serves as a first example of delivering a data-driven personalized learning experience in a MOOC.
Keywords
Adaptivity; Personalization; Real-time intervention; MOOC; RNN; Behavioral modeling; Navigational efficiency; edX
Reference
Zachary A. Pardos, Steven Tang, Daniel Davis, and Christopher Vu Le. 2017. Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework. In Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale (L@S ’17). ACM, New York, NY, USA, 23-32. DOI: https://doi.org/10.1145/3051457.3051471