Join us to discuss when study turns digital on Monday 2nd August at 2pm BST

Public domain image of Coronavirus by Alissa Eckert and Dan Higgins at CDC.gov on Wikimedia commons w.wiki/ycs


The pandemic has accelerated changes to the way we teach and learn. Join us to discuss the Covid-19 shutdown: when studying turns digital, students want more structure: a paper by Vegard Gjerde, Robert Gray, Bodil Holst and Stein Dankert Kolstø on the effects of the pandemic on Physics Education at a Norwegian University. [1]

In March 2020, universities in Norway and many other countries shut down due to the Covid-19 pandemic. The students lost access to classrooms, libraries, study halls, and laboratories. Studying turned digital. Because it is unclear when this pandemic will cease to affect students and because we cannot know whether or when a new pandemic occurs, we need to find ways to improve digital study-life for students. An important step in this direction is to understand the students’ experiences and perspectives regarding how the digitalization affected their study-life both in structured learning arenas and their self-study. Therefore, we interviewed 12 students in an introductory mechanics course at a Norwegian university in June of 2020. Through a thematic analysis, we identified four broad categories in the students’ different experiences and reflections, namely that digitalization: (a) provides benefits, e.g. the flexibility inherent in online video lectures; (b) incurs learning costs, e.g. students reducing their study effort; (c) incurs social costs, e.g. missing being around other students; and (d) increases the need for structure, e.g. wanting to be arranged in digital groups to solve mandatory tasks. We also found that the 2019 students on average scored significantly better on the final exam than the 2020 students, d = 0.31, but we discuss why this result should be interpreted with caution. We provide suggestions for how to adapt courses to make students’ digital studying more socially stimulating and effective. Furthermore, this study is a contribution to the historical documentation of the Covid-19 pandemic.

All welcome, as usual, we’ll be meeting on Zoom see sigcse.cs.manchester.ac.uk/join-us for details. Thanks to Sarah Clinch for suggesting the paper.

References

  1. Gjerde, Vegard; Gray, Robert; Holst, Bodil; Kolstø, Stein Dankert (2021). “The Covid-19 shutdown: when studying turns digital, students want more structure”. Physics Education56 (5): 055004. doi:10.1088/1361-6552/ac031e

Join us to discuss cognitive load on Monday 7th June at 2pm

Cognitive Load Theory provides a basis for understanding the learning process. It has been widely used to improve the teaching and learning of many subjects including Computer Science. But how can it help us build better collaborative learning experiences? Join us to discuss via a paper by Paul Kirschner, John Sweller, Femke Kirschner & Jimmy Zambrano R. [1] From the abstract:

Cognitive load theory has traditionally been associated with individual learning. Based on evolutionary educational psychology and our knowledge of human cognition, particularly the relations between working memory and long-term memory, the theory has been used to generate a variety of instructional effects. Though these instructional effects also influence the efficiency and effectiveness of collaborative learning, be it computer supported or face-to-face, they are often not considered either when designing collaborative learning situations/environments or researching collaborative learning. One reason for this omission is that cognitive load theory has only sporadically concerned itself with certain particulars of collaborative learning such as the concept of a collective working memory when collaborating along with issues associated with transactive activities and their concomitant costs which are inherent to collaboration. We illustrate how and why cognitive load theory, by adding these concepts, can throw light on collaborative learning and generate principles specific to the design and study of collaborative learning.

Thanks to Nicola Looker for suggesting this months paper. As usual, we’ll be meeting on zoom, see sigcse.cs.manchester.ac.uk/join-us for details.

References

  1. Kirschner, Paul A.; Sweller, John; Kirschner, Femke; Zambrano R., Jimmy (2018). “From Cognitive Load Theory to Collaborative Cognitive Load Theory”. International Journal of Computer-Supported Collaborative Learning13 (2): 213–233. DOI:10.1007/s11412-018-9277-y

Join us to discuss blended learning & pedagogy in Computer Science on Monday 6th July at 3pm

What is innovative pedagogy? CC-BY licensed picture by Giulia Forsythe

Join us for our next journal club meeting on Monday 6th July at 3pm, the papers we’ll be discussing below come from the #paper-suggestions channel of our slack workspace at uk-acm-sigsce.slack.com.

Show me the pedagogy!

The first paper is a short chapter by Katrina Falkner and Judy Sheard which gives an overview of pedagogic approaches including active learning, collaborative learning, cooperative learning, contributing student pedagogy (CSP), blended learning and MOOCs. [1] This was published last year as chapter 15 of the Cambridge Handbook on Computing Education Research edited by Sally Fincher and Anthony V. Robins. A lot of blended learning resources focus on technology, this chapter talks about where blended learning fits with a range of different pedagogic approaches.

A video summary of all sixteen chapters of the Cambridge Handbook of Computing Education Research, including chapter 15 which we’ll be discussing

Implementing blended learning

The second paper (suggested by Jane Waite) is Design and implementation factors in blended synchronous learning environments [2], here’s a summary from the abstract:

Increasingly, universities are using technology to provide students with more flexible modes of participation. This article presents a cross-case analysis of blended synchronous learning environments—contexts where remote students participated in face-to-face classes through the use of rich-media synchronous technologies such as video conferencing, web conferencing, and virtual worlds. The study examined how design and implementation factors influenced student learning activity and perceived learning outcomes, drawing on a synthesis of student, teacher, and researcher observations collected before, during, and after blended synchronous learning lessons. Key findings include the importance of designing for active learning, the need to select and utilise technologies appropriately to meet communicative requirements, varying degrees of co-presence depending on technological and human factors, and heightened cognitive load. Pedagogical, technological, and logistical implications are presented in the form of a Blended Synchronous Learning Design Framework that is grounded in the results of the study.

We look forward to seeing you there, zoom details are on the slack channel, email me if you’d like to request an invitation to the slack channel. Likewise, if you don’t have access to the papers let me know.

Short notes from the discussion

Some of the questions discussed on the day:

  • Inclusion raises a number of questions in terms of room management, gender balance – was this a consideration?
  • What effect do you think the absence of anyone F2F would have on the case studies and/or your outcomes?
  • How scalable is this approach? Can it be used with classes of 200 or 300 students?
  • Constructive alignment plays an important role in getting this kind of blended learning to work, see the work of John Biggs e.g. Teaching for Quality Learning at University book

Further reading from co-authors

Jaqueline Kenney, one of the co-authors of the paper we discussed joined us for the session (thanks again Jacqueline). Matt Bower also emailed some suggestions of work that follows on

  • See related work Collaborative learning across physical and virtual worlds: Factors supporting and constraining learners in a blended reality environment DOI:10.1111/bjet.12435 and blendsync.org
  • Bower, M. (2006). Virtual classroom pedagogy. Paper presented at the Proceedings of the 37th SIGCSE technical symposium on Computer science education, Houston, Texas, USA. DOI:10.1145/1121341.1121390
  • Bower, M. (2006). A learning system engineering approach to developing online courses. Paper presented at the Proceedings of the 8th Australasian Conference on Computing Education – Volume 52, Hobart, Australia. 
  • Bower, M. (2007). Groupwork activities in synchronous online classroom spaces. Paper presented at the Proceedings of the 38th SIGCSE technical symposium on Computer science education, Covington, Kentucky, USA. DOI:10.1145/1227310.1227345
  • Bower, M. (2007). Independent, synchronous and asynchronous an analysis of approaches to online concept formation. Paper presented at the Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education, Dundee, Scotland. DOI:10.1145/1268784.1268827
  • Bower, M. (2008). The “instructed-teacher”: a computer science online learning pedagogical pattern. Paper presented at the Proceedings of the 13th annual conference on Innovation and technology in computer science education, Madrid, Spain. DOI:10.1145/1384271.1384323
  • Bower, M., & McIver, A. (2011). Continual and explicit comparison to promote proactive facilitation during second computer language learning. Paper presented at the Proceedings of the 16th annual joint conference on Innovation and technology in computer science education, Darmstadt, Germany. DOI:10.1145/1999747.1999809
  • Bower, M., & Richards, D. (2005). The impact of virtual classroom laboratories in CSE. Paper presented at the Proceedings of the 36th SIGCSE technical symposium on Computer science education, St. Louis, Missouri, USA. DOI:10.1145/1047344.1047447As well, this Computers & Education paper specifically relates to a study of teaching computing online:
  • Bower, M., & Hedberg, J. G. (2010). A quantitative multimodal discourse analysis of teaching and learning in a web-conferencing environment–the efficacy of student-centred learning designs. Computers & education, 54(2), 462-478.

References

  1.  Falkner, Katrina; Sheard, Judy (2019). “Pedagogic Approaches”: 445–480. doi:10.1017/9781108654555.016. Chapter 15 of the The Cambridge Handbook of Computing Education Research
  2. Bower, Matt; Dalgarno, Barney; Kennedy, Gregor E.; Lee, Mark J.W.; Kenney, Jacqueline (2015). “Design and implementation factors in blended synchronous learning environments: Outcomes from a cross-case analysis”. Computers & Education86: 1–17. doi:10.1016/j.compedu.2015.03.006ISSN 0360-1315.