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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,86 @@ | ||
| import re | ||
| import os | ||
|
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| header = """--- | ||
| marp: true | ||
| header: 'Learn Markers' | ||
| theme: ub-theme | ||
| paginate: true | ||
| --- | ||
| """ | ||
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| toc = [] # Table of contents storage | ||
| structured_slides = {} # Dictionary to store slides under their headers | ||
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| def extract_header(file_content): | ||
| """Extract the 'header' field from YAML front matter.""" | ||
| match = re.search(r"^header:\s*['\"]?(.*?)['\"]?$", file_content, re.MULTILINE) | ||
| return match.group(1) if match else "Miscellaneous" # Default category | ||
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| def extract_must_learn_slides(file_path): | ||
| """Extract slides with <!-- _class: must_learn -->""" | ||
| with open(file_path, "r", encoding="utf-8") as file: | ||
| content = file.read() | ||
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| section_header = extract_header(content) | ||
| slides = re.split(r"(?=\n---)", content) | ||
| must_learn_slides = [slide for slide in slides if "<!-- _class: must_learn -->" in slide] | ||
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| return section_header, must_learn_slides | ||
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| def save_extracted_slides(slides_dict, output_file): | ||
| """Save extracted slides, grouped by header, with a table of contents.""" | ||
| if os.path.exists(output_file): | ||
| os.remove(output_file) | ||
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| with open(output_file, "w", encoding="utf-8") as file: | ||
| file.write(header) | ||
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| # Generate Table of Contents | ||
| file.write("\n## Table of Contents\n\n") | ||
| for section, slides in slides_dict.items(): | ||
| if slides: | ||
| anchor = section.lower().replace(" ", "-") | ||
| file.write(f"- [{section}](#{anchor})\n") | ||
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| for section, slides in slides_dict.items(): | ||
| if slides: | ||
| anchor = section.lower().replace(" ", "-") | ||
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| file.write(f"\n---\n\n## {section} <a id='{anchor}'></a>") | ||
| file.write("\n\n---\n\n".join(slide.lstrip("\n---") for slide in slides)) | ||
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| print(f"Extracted slides structured under headers and saved to {output_file}") | ||
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| if __name__ == "__main__": | ||
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| extracted_slides = [] | ||
| structured_slides = {} | ||
| # iterate over md files in slides dir | ||
| for file in os.listdir("slides"): | ||
| if file in ["00-orga.md", "00_learn_markers.md"]: | ||
| continue | ||
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| print(file) | ||
| if file.endswith(".md"): | ||
| input_file = f"slides/{file}" | ||
| section_header, slides = extract_must_learn_slides(input_file) | ||
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| if section_header not in structured_slides: | ||
| structured_slides[section_header] = [] | ||
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| structured_slides[section_header].extend(slides) | ||
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| structured_slides = dict(sorted( | ||
| structured_slides.items(), | ||
| key=lambda x: int(re.search(r'\d+', x[0]).group()) if re.search(r'\d+', x[0]) else float('inf') | ||
| )) | ||
|
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| output_file = f"slides/00_learn_markers.md" | ||
| save_extracted_slides(structured_slides, output_file) | ||
|
|
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,96 @@ | ||
| --- | ||
| marp: true | ||
| header: 'Learn Markers' | ||
| theme: ub-theme | ||
| paginate: true | ||
| --- | ||
|
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| ## Table of Contents | ||
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| - [IDW-01: Drivers of change in digital work](#idw-01:-drivers-of-change-in-digital-work) | ||
| - [IDW-02: Digital work individually](#idw-02:-digital-work-individually) | ||
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| --- | ||
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| ## IDW-01: Drivers of change in digital work <a id='idw-01:-drivers-of-change-in-digital-work'></a> | ||
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| <!-- _class: must_learn --> | ||
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| # The historical development of work | ||
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| <!-- The economy and it's revolutions --> | ||
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| The first industrial revolution (1760-1830) | ||
| - Key technological developments: steam power, iron making, manufacturing machinery | ||
| - Work transitions from hand production methods to industrial production work supported by machines | ||
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| The second industrial revolution (1870-1914) | ||
| - Key technological developments: scientific discoveries (patents), standardization, mass production | ||
| - Work is shaped by Taylorist principles, later referred to as "scientific management". | ||
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| <!-- | ||
| Ein ehemaliger Schulfreund von mir hat in Geschichte promoviert und wäre mit so einer verkürzten Darstellung sehr überrascht. | ||
| Also: ich lasse hier viel weg - was uns interessiert sind die großen Linien. | ||
| Wichtig: Viele große Organisationen und Managementprinzipien gehen auf bis in die Zeit zurück. | ||
| -> overview of key influences | ||
| Rationalisierung/Effizienz | ||
| - Focus: mass markets and standardization, large organizations, low bargaining power of employees, low skill requirements (for most workers) | ||
| logic: push-to-market | ||
| massive gains in productivity (chart?), frees up human labor | ||
| Not covered: Peter Drucker etc. | ||
| --> | ||
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| --- | ||
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| <!-- _class: must_learn --> | ||
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| # Taylorist principles | ||
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| Named after Frederick Taylor (1865-1915) | ||
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| 1. Separate the work of workers (efficient task completion) and managers (analysis, planning, training). | ||
| 2. Use of the scientific method to study work and determine the most efficient way to perform specific tasks (instead of working based on common sense or rules of thumb). | ||
| 3. Match workers to their jobs based on capability and train them to work at maximum efficiency (instead of hiring generalists with broad skill sets). | ||
| 4. Monitor worker performance, and provide instructions to ensure that workers work in the most efficient way possible. | ||
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| The principles have been criticized widely, but their influence on the organization of work is still visible. | ||
|
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| <!-- | ||
| influence: how organizations structure work, hierarchies , how we think about work | ||
| departemnt structures: division of labor | ||
| HR/hiring: selection of the best workers based on objective figures (such as years of experience) - maybe also influenced by unions | ||
| outcome-based compensation, 360 feedback -> objective selection/training | ||
| Context: low skill requirements/workers can be replaced quickly | ||
| --> | ||
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| --- | ||
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| ## IDW-02: Digital work individually <a id='idw-02:-digital-work-individually'></a> | ||
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| <!-- _class: must_learn --> | ||
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| # Digital work competences | ||
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| Frameworks that *describe and classify* digital competences (selection): | ||
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| - Digital competence framework for EU citizens | ||
| - Multiple case study and grounded theory by Weritz (2022) | ||
| - Review of prior research: Gagné-Pratte et al. (2022) | ||
|
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| <!-- | ||
| Methode: wie würden Sie vorgehen, um einen Überblick skills und Kompetenzen für digitale Arbeit zu erstellen? | ||
| -> evtl. auf Bergmann/Newport beziehen: teilw. sehr einseitige Vorschläge, Vorteil der Literaturübersicht: ausgewogenes Bild | ||
| maybe illustrate how the inductive data analysis worked? (connect to the "checking quality of data" - excel errors / robust environments like git, ...) | ||
| --> |
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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