Audrey Alejandro
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The Methodological Artist - Personal blog

Online Teaching Challenges (and some insights about how to address them)

9/2/2020

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Shifting to online teaching can be stressful, as it is full of unknowns. Identifying right on what the key challenges of online teaching are and addressing them as soon as possible is a good way towards making this experience as fulfilling as possible (and the least stressful and time-consuming down the line).

In this blog post, I share with you some tips I learnt (the hard way) when I was a lecturer at Queen Mary University of London and in charge of developing modules for their online Master's in International Relations. Colleagues and friends have asked me to give them some insights into what was coming ahead. I tried to do so without sugarcoating - but also without losing track of the optimistic solution-oriented mindset that we so much need right now. In this blog post, I share with you the advice that I shared with them.

Three challenges of Online Teaching ​

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Challenge No 1: Difficulty to maintain students' engagement
Maintaining students' engagement is a well-known challenge of online teaching. This challenge can manifest in different ways. Students may not use the asynchronous activities we provide to them. They may use them but 'passively' (e.g. they'll listen to your lecture as a shower time podcast). They may not speak up in webinars etc. Best case scenario: the lack of  engagement runs the risk of an online teaching environment that lacks dynamism for teachers and students. Worst case scenario: the lack of engagement leads to the permanent drop out of some students or some very bad surprise when comes the evaluation, if students/teachers don’t realise soon enough that the lack of engagement has resulted in students being out of track in regards to the module's learning curve.
Challenge No 2: Risk of hyper-individualised teaching
The second challenge arises from the difficulty of creating a sense of learning community within the class or more generally the cohort. In such absence, the risk of hyper-individualised teaching increases, by which I mean that some students may experience direct interactions with their teachers as their only learning resources. This situation has several negative consequences. Students don't learn from each other (and therefore tend to perceive their struggles as personal issues rather than collective pedagogical challenges). Students feel isolated (which decreases their overall learning experience). Students don’t invest in the full range of teaching activities available to them (which may lead them to miss critical content and information). Instead of learning how to learn autonomously (an essential skill for life-long learning and self-assessment), they become dependent on the teacher. Finally, this increases the pressure on teachers who are more likely to become overworked.
Challenge No 3: Lack of informal socialisation on campus/between students
​
In the ‘global classroom’ of internationalised higher education, students have very diverse backgrounds. When on-campus education happens, students learn at a fast pace upon their arrival the foundational knowledge and skills that will determine their overall academic performance for the rest of the year. In my experience of on-campus teaching at LSE (the university with the highest percentage of foreign students at a British university), I see that the first couple of months are crucial for students to learn :
  • what we mean by ‘social sciences’ and how we do social sciences in the UK/at LSE;
  • good academic practices and ways to work;
  • what is socially expected from them, for example how to relate to each other and the teachers in the UK higher education environment.
Despite efforts from universities to create workshops and documentation about good practices, online students don't have as many opportunities of informal socialisation as they would have by hanging out in the library, chatting at the beginning and end of classes, or working with peers at the school's coffee shop.
That being said, what we see is that: 
- These Challenges are not specific to online teaching. Yet, the chances that they end up causing you trouble increases because of online teaching. And their consequences are more difficult to address because of online teaching
- Because these challenges are not specific to online teaching (spoiler: this is a silver lining) developing tools and practices to address such challenges in online teaching… will help you to improve your on-campus teaching!

How to address these challenges?

​Here the objective is for you to find the perfect ratio that
- minimises the time and effort you spend adapting your on-campus curricula to online teaching and
- optimises the quality of the online teaching experience for you and your students.

Based on my experience, I suggest you to:
Make some shifts in regard to:
  • Your relation to students
  • Your content
  • Your role 
Be/produce content that is:
  • As engaging as possible
  • As ‘collective’ as possible
  • As explicit/directive as possible
 
What do I mean by this?
Rethink your relation to students - The 'pedagogical experience'
I encourage you to rethink how you relate to students by getting rid of the on-campus managerial workload idea of 'contact time' (e.g. "For this module, my workload is 1.5h lectures and 1.5h seminars per week"). Instead, I encourage you to adopt a mindset more adapted to online teaching: think about what you are doing in terms of 'providing a pedagogical experience'. By this, I mean providing an experience:​
1. Structured in an online space: whatever platform your university uses, make sure it becomes your pedagogical online environment, a space that reflects your teaching personality and in which you can link more than the pedagogical content that you personally create.
2. Structured in time: I encourage you to adopt a weekly format as it sets a good rhythm (both flexible and dynamic) for you and your students. By this I mean that the week becomes the new pedagogical unit around which you develop your curricula (rather than the lecture+seminar duet for those who use this format). Accordingly, you can provide students with a weekly document that summarises all the activities you want them to do during this week (I say document but depending on the platform you use, it might be better to have it summarised on a dedicated webpage).
I call this document 'Weekly Prep''. In the image below, I synthesise the structure of what this document typically looks like for me. On the left side, you see the titles of the sections of the document. On the right side, I detail what the activities consist of and how I would introduce/formulate them for the students.
As you can see in the template, I encourage you to time all the activities. The weekly document summarises all the activities you want the students to do this specific week timed up to the amount of time you expect them to spend per week on this module for them to be able to get the most of out it. Timing activities provides students with a handrail that helps them estimate the amount of preparation expected on their part. It also helps establish an informal understanding between you and the students that online learning is far from passive.
Also, be regular about when you add core elements on your online platform, as regularity (e.g. making a lecture recording available every Monday) helps create rhythm and structure throughout the term.
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3. With standardised activities and format: Standardise how your activities look like and how you call them. You don’t want students to think that you dump things on them! The feeling you want to generate is that everything that you provide is part of a pedagogical project you have carefully designed for them to have the best learning curve conditional on their personal input. 
​ 

Rethink your relation to students - How you communicate
​Take some time to think strategically about how to organise your communication with students in a way that is clear for them, makes you feel in control, and aligns with your values. Keep in mind that every issue you have encountered in the past with this module runs the risk of being amplified when you teach online.
In very practical terms, what I recommend you to do is to:
  • List all the issues you usually have with this module
  • List all the things students usually don’t understand
and... UPDATE, UPDATE, UPDATE. UPDATE THE S*** out of your syllabus. It is the perfect time to create a FAQ section on your module's platform (update it if you already have one). It is also a good time to create/update some written ground-rules. Make everything as explicit and clear as possible.
- Make explicit your role and their role, and what you expect from them. For example, some students might have never been in a university system with office hours. Guide them by giving them clues about what the practices you ask them to engage with entail (for example, what they should do before an office hour appointment: "Before attending your appointment, please revise the lecture material and think about the questions you may want to ask your teacher during the appointment").  
- 
Think about the communication channels that fit you better (e.g. email only for personal reasons, one admin forum + one pedagogical forum on your module's platform); be explicit about how students should use them; be strict in enforcing your instructions until they are adopted.
Picturepixabay.com
As you can see, these steps not only help you transition to online teaching but also represent long-term investments whose rewards you will reap when you will return to campus. 
- It is good practice to revise/update our syllabus every now and then... now is the time!
- I have kept the habit of using the Weekly Prep' document for face-to-face teaching and students often comment on how well structured my modules are!

Rethink your content
In the Weekly Prep template above, you can see that I refer to "hook" and "cases". These are some activities that I used in order to turn my on-campus lectures into more interactive online pedagogical experiences (and that I kept using when I reverted to on-campus teaching!). Here are some ideas to help you make your content more interactive: 
  • Create a small activity that will work like a 'hook' for the topic you explore that week (it could be a picture you ask students to comment on, a five-minute interview with a colleague, a mini-documentary, an example taken from the news or a provocative/surprising point from your lecture);
  • If you upload content that you record yourself, keep it short and create units of meaning of 20-30 min max;
  • Turn an illustration/example from your lecture into a mini exercise - what I call "a case". For example, instead of explaining why the methodology of an academic article is badly implemented, I would briefly introduce the paper and ask students a series of questions: "Are you convinced by the results? Why not?" Etc.
​'Hooks' and 'cases' are aimed to be engaging and/or thought-provoking. They work as a warm-up so students arrive motivated for the synchronous activities/engage more actively with the asynchronous ones.
Rethink your role
At the risk of sounding simplistic, I will try to be as direct as possible. I encourage you to shift your mindset from being someone whose job is to produce and deliver content, and embrace becoming all of the below:
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I hope this blog post can be of help for some of you. Don't forget that you're the best and best of lucks for the crazy year to come.
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PS/Disclaimer(s): I wrote this blog on my own personal capacity and the information contained in it may not represent the official pedagogical line of my previous and current employers. Also, I don’t know Eric Carle and I haven’t read his book but this dolphin cover is amazing.
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What is analysis? Some tips to "become more analytical"

12/19/2019

5 Comments

 
As a student, have you ever been told that your work was “too descriptive” or that you needed to be “more analytical”? 
The truth is, despite common prompts to make essays and research assignments “more analytical”, chances are that students are never taught what good criteria of analysis are.  Analysis is a big elephant in the room of social sciences, including for courses explicitly labelled as related to “data analysis” – such as “discourse analysis” that I teach.
 What is analysis, analytical, data analysis, qualitative research blog
The Elephant in the Room - seriykotik1970
So what is analysis and what does it take to produce good analytical work?

​What is analysis?

​Analysis is a process of transformation. Raw data and information do not have meaning per se. It is you, as researcher, who make meaning out of it, via the process of analysis.
Analysis is a creative process. What you create through analysis is a new discourse about the world, which helps people perceive the world in a different way, understand things that they did not know or did not understand before reading your research.
 
But how does it work? How does analysis make sense of the world, then?
To summarise: by bringing focus, synthesising, naming, establishing patterns and relationships that will help other people in perceiving these patterns and relationships and thus understand the world differently.
 
A good metaphor for analysis is the work of astronomers and other stargazing lovers who identified constellations. The sky is full of stars. And some people drew patterns in the sky, named these patterns and even created stories about the shapes thus formed. This way of perceiving the sky is passed down from generations to generations, taught and written in books. And people who learned them can’t help but seeing these patterns when they look at the stars.
Qualitative research methods, data analysis, metaphor
Capricornus, Commons Wikimedia, Michelet, 2006
Here are two definitions of analysis taken from methodology handbooks:
 
“Taken literally, ‘breaking up’ something complex into smaller parts and explaining the whole in terms of the properties of, and relations between, these parts” (Robson 2011: 412)
 
“The process of bringing order to the data, organizing what is there into patterns, categories and descriptive units, and looking for relationships between them; ‘interpretation’ involves attaching meaning and significance to the analysis, explaining the patterns, categories and relationships…” (Brewer 2000: 105)
 
These definitions highlight the double process involved in analytical work:
- on the one hand, the breaking down and simplification of the inherently messy social world;
- on the other hand, the building up of patterns between selected elements to produce a new (and synthetic) way of interpreting the world.
 
In practical terms, the transcription of one hour of interview can take up to 40 pages. Thus, the transcription of 10 interviews amounts to 400 pages. You need to break down your material into manageable segments, and focus on certain elements and sacrifice others, in order to find out what is the most interesting knowledge you can produce out of this data. 

​Does that mean that everything goes?

Analysis as a creative process, data analysis, qualitative research methods, research skills
If analysis is a creative process, does that mean that ​it is ok for social scientists to create any meaning and discourse out of their data?
​I said that analysis was a creative process, but no, that does not mean that everything goes.
Listing explicit criteria about what we need to do to produce a good analysis can help us ensure we are on tracks regarding our analytical goals.

​To sum it up:  the objective of analysis is to produce a convincing demonstration based on empirical evidence describing, explaining and interpreting a social phenomenon.
​

​Criteria of analysis 101: The ‘wheel of analysis’

In the schematic ‘wheel’ below, I unpack the definition above to make explicit a series of criteria to help you produce a good analysis:
data analysis, wheel of analysis, description, explanation, interpretation, qualitative research methods, what is analysis
Let’s unpack further these criteria:
  • Description: What is going on? Make sure you are not jumping to conclusions before describing the evidence.
  • Explanation and Interpretation: The description of the empirical material is a necessary but not sufficient dimension of analytical work. The readers need you to go one step further. Depending on your research question, it might be, for example, the reasons behind the situation, the conditions of their emergence, how actors make meaning of it in context etc… You need to go beyond simply describing what is in the data and synthesise the way you interpret and explain the situation under scrutiny by linking your material to the context, existing theory and literature.
  • Specific research object: Provide an answer to the research question by selecting relevant material to analyse. ONLY keep in the final project the data that is relevant for your analysis.  You have a purpose and you need to stick to it. There will be things in your data that are interesting but that don’t directly answer your research question: you have to be ruthless and sacrifice them. Pasta is very good but if you’re baking a cake, you don’t put the pasta in the cake, otherwise you miss the point by spoiling the cake. To summarise: there may be things in your data that are very interesting, but if they are outside the scope of your research project: bye bye.
  • Discourse for someone else: The analysis is not a summary of your data that you write for yourself. The analysis is something you communicate to someone else. It needs to be clear and engaging. It is an argumentative exercise. You need to convince the reader. Imagine you are trying to convince someone you know when you write.
  • Demonstration:​ A very good way of producing a convincing analysis is to demonstrate the rigour of your analysis. Create something that is more than generating impressions. You need to go beyond anecdotal examples and cherry-picked cases. Aim for your demonstration to be transparent and traceable so the readers can understand how you reached your interpretation. Provide a clearly articulated account of your assumptions, procedures, and steps. Aim for your demonstration to be systematic. Develop analytical strategies and procedures with steps to be followed consistently. That means that you approach all your data (all your interview transcripts, for example) with the same framework of analysis and the same questions.
 
Each of us has natural strengths and weaknesses. For example, some of us will have no problem in expressing their argument with clarity but will struggle to establish clear boundaries to their research topic. Others will provide a rich interpretation but without demonstrating how they reached these conclusions. It is important to identify which dimensions of analysis are your weaknesses or which ones you usually tend to neglect, and work on them as a priority.
what is analysis, qualitative research methods, data analysis
The ‘wheel of analysis’ can be used as a compass to guide your work and to make it ‘more analytical’. A key moment to use the wheel is also once you have finished your first draft. Then use the wheel as a checklist by comparing its different elements with what you have achieved so far. Are you providing an interpretation or just describing what is in your data? Did you write your analysis as a summary for yourself or as a discourse aimed at convincing an audience? Keep going back and forth between the wheel and your analysis until you improve it as to match all its dimensions!
This article is also available in Spanish and in Chinese.
You can download the pdf here.
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Audrey Alejandro (2018-)
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  • Home
  • About
  • Publications
  • Research
    • Computational Social Science meets Qualitative Research
    • Reflexivity in practice
    • Eurocentrism and the internationalisation of social science
    • The role of discourses in world politics
    • Voluntary Medical Male Circumcision
    • Climate Resilience in Dominica
  • The Methodological Artist - Personal Blog
  • Teaching
  • Consultancy
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