π©πΌβπ« Teach academic courses
Embed rich media such as videos and LaTeX mathHugoBlox Kit is designed to give technical content creators a seamless experience. You can focus on the content and the HugoBlox Kit which this template is built upon handles the rest.
Embed videos, podcasts, code, LaTeX math, and even test students!
On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.
Citation
Here’s an example of citing a publication using the cite shortcode:
You can also use the default view by omitting the view parameter:
Video
Teach your course by sharing videos with your students. Choose from one of the following approaches:
Youtube:
{{< youtube D2vj0WcvH5c >}}
Bilibili:
{{< bilibili BV1WV4y1r7DF >}}
Video file
Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:
{{< video src="my_video.mp4" controls="yes" >}}
Podcast
You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:
{{< audio src="ambient-piano.mp3" >}}
Try it out:
Test students
Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:
{{< spoiler text="π Click to view the solution" >}}
You found me!
{{< /spoiler >}}
renders as
π Click to view the solution
Math
HugoBlox Kit supports a Markdown extension for $\LaTeX$ math. Enable math by setting the math: true option in your page’s front matter, or enable math for your entire site by toggling math in your config/_default/params.yaml file:
features:
math:
enable: true
To render inline or block math, wrap your LaTeX math with $...$ or $$...$$, respectively.
Example math block:
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
renders as
$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$Example inline math $\nabla F(\mathbf{x}_{n})$ renders as $\nabla F(\mathbf{x}_{n})$.
Example multi-line math using the math linebreak (\\):
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
renders as
$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$Code
HugoBlox Kit utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.
```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```
renders as
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
Inline Images
{{< icon name="python" >}} Python
renders as
python Python
Did you find this page helpful? Consider sharing it π

I am a tenure-track Assistant Professor in the Computer Science department at Thompson Rivers University. My research centers on the impact of generative AI on the learning behavior and outcome in computer science education. Before joining TRU, I was a Postdoctoral Fellow at the UBC Master of Data Science, where I developed and taught a variety of data science courses, including those on statistical inference, machine learning, and technical communication. In addition to teaching, I coordinated the capstone program, facilitating student collaborations with industry partners on real-world data science projects.
Prior to UBC, I worked as a Postdoctoral Fellow in Learning Analytics at the School of Information, University of Michigan. My research focuses on analyzing students social interactions and peer effects from spatio-temporal large scale data. My work has been recognized with competitive grants, and multiple best paper awards at prominent conferences, including LAK18 and HCI International 17.
I hold a PhD in Learning Analytics at The Open University UK, a BSc and MSc in Economics from Maastricht University, Netherlands.
