In brief, this guide shows how to define shareable mindmaps of courses / programs contents through the use of content units (CUs), a concept explained below in details.
In our acception a content unit is an atomic unit of teaching-learning content that can be explained in half an hour or less, assuming that the learners know the surrounding context needed / useful for uptaking that content. Simple examples are:
The name of a content unit may contain some keywords. Content units may moreover be nested and grouped, so that one does not need worry too much about how detailed one should be in defining the “smallest / most detailed level” of content units. More information will come in Section 3.
Two things, in this order:
Our advice is to follow this strategy:
Now we need to insert information about how the contents within a course / program connect and flow. We consider five main types of relations among a generic content unit A and a generic content unit B:
We empirically found that some teachers find it helpful to first compile the “A generalizes / contains B” relations before the other ones. Some others feel this is not necessary, and prefer to do the compilation of the relations simultaneously. We feel that doing “A generalizes / contains B” first and then the others takes more time, but leads to more accurate results. You do as you prefer; Section 4.1 below describes how to compile the “A generalizes / contains B” relations, while Section 4.2 describes the “everything simultaneously” approach. Our suggestion is: read both 4.1 and 4.2 before doing, and then decide depending on how you feel
5.1 How do I define the “A generalizes / contains B” relations?
go to the tab “content units hierarchies” in your spreadsheet. Its header, that says “topic / discipline”, “subtopic”, “sub-subtopic”, “…”, suggests to use rows / columns placements to define the ‘inclusion levels’. E.g., immediately defines a sort of hierarchy between the content units listed in the table
topic / discipline | subtopic | sub-subtopic | ... |
---|---|---|---|
systems theory
|
|||
signals | |||
properties of signals | |||
periodicity | |||
... (other content units)... | |||
sampling of signals | |||
ideal impulse train
sampling |
|||
... (other content units)... | |||
systems |
take the various content units that you listed in the tab “list of which content units relate to this course” and organize them as above.
5.2 How do I insert all the various relations?
sort the CUs you mentioned in the first two tabs of the spreadsheet as you prefer. E.g., some people like to sort them alphabetically, some others temporally and/or by some logical hierarchy. Do as you wish, the order of the rows is ininfluent;
go to the tab “content units relations” and copy these sorted content units in the first column of this tab;
for each remaining cell, insert the prompted information. If you need to insert a list of content units in one single cell then separate the individual units with a semicolon.
If you write your instructional material in LaTeX, then you may code the relations written above directly in the .tex document itself, rather than using the spreadsheet file mentioned above. If you want to know more about this possibility, first look at the “how to index the cognitive difficulty of exercises with the using-explaining taxonomy” manual, then download the corresponding LaTeX template file and look at the instructions in contentsmapping.tex and the examples inquestions.tex.
The term “Content Unit” has been defined in the pedagogics literature as a “single student capability which is acquired under a single set of learning conditions, assuming that the prerequisite capabilities have been learned” (Gagne 1962, 1965, 1967 cited in Briggs, 1967, p.16). “Content unit” was also defined as the result of the breaking down of the course objectives into manageable sections (Briggs & Wager, 1981). The term “content unit” has also some synonyms: for example Ciampolini (1993) introduced the similar term of vertical distillation within short didactic, meaning with this a listing of the topics that make up the discipline in the order in which the teacher presents them. Similarly, Martini (2006) recently described the criterion of essentialization in the didactic programming of the disciplines, as the explicitation of the objects and structures of the discipline and, therefore, its constitutive elements and their mutual relations.
If you are mapping several courses, start with the most basic one. The units from the most basic course will probably be used in the next one, so it will be like climbing a ladder.
table of contents of books are excellent pre-made information for compiling the first four columns of the tab “list of which content units relate to this course”. To this regard
the easiest is to copy all the headers, but delete all the headers without information, such as “where to find more on electric circuits”
headers of sections are usually very general, while the subsections are more specific
better to divide headers that indicate several content units into two or more headers. E.g. better to divide “Reactive and resistive circuits” into “reactive circuits” and “resistive circuits” and thus add two rows in the spreadsheet
lesson titles are an equivalent pre-made information for compiling the four columns mentioned above. The same recommendations apply here too
to map the prerequisites, ask yourself what you need to know to understand that part / sub-part of the course
remove all the commas from the content units that you define, otherwise our text-parsers will go nuts :)
if relevant, it is meaningful to consider all the mathematical prerequisites as independent content units. If you keep them quite generic (e.g., “Fourier transforms”) this will make you save time BUT also make it more difficult to draw precise connections with other courses
for now do not worry too much about how you spell the names of the content units. But if you want to make our life easier consider spending some time in compiling the “which CUs are a synonym of this CU?” column.
ANQEP. (2016). Council Recommendations for EQF for LLL - Annexes. Eqf, April 2008.
Bier, N., Lip, S., Strader, R., Thille, C., & Zimmaro, D. (2014). An Approach to Knowledge Component / Skill Modeling in Online Courses. Open Learning, April, 1–14.
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals; Handbook I, Cognitive Domain. New York: David Mckay.
Briggs, L. J. (1967). Sequencing of instruction in relation to hierarchies of competence. Briggs, L. J., & Wager, W. W. (1981). Handbook of Procedures for the Design of Instruction. Educational Technology Publications.
Ciampolini, F. (1993). La didattica breve: insegnare e studiare in meno tempo per una formazione a qualità totale. Il Mulino.
Desmarais, M. C., & Baker, R. S. J. D. (2012). A review of recent advances in learner and skill modeling in intelligent learning environments. User Modeling and User-Adapted Interaction, 22(1–2), 9–38. https://doi.org/10.1007/s11257-011-9106-8
Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012). The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning. Cognitive Science, 36(5), 757–798. https://doi.org/10.1111/j.1551-6709.2012.01245.x
Koedinger, K. R., VanLehn, K., Skogsholm, A., & Nwaigwe, A. (2007). What’s in a Step? Toward General, Abstract Representations of Tutoring System Log Data Kurt. 4511(July), 127–136. https://doi.org/10.1007/978-3-540-73078-1_64
Martini B.(2006),La programmazione didattica delle discipline, Riforma e didattica, X, 4: 21-26
McMahon, T., & Thakore, H. (January 01, 2006). Achieving Constructive Alignment: Putting Outcomes First. Quality of Higher Education, 3, 10-19.
Seffrin, H., Bittencourt, I. I., Isotani, S., & Jaques, P. A. (2016). Modelling students’ algebraic knowledge with dynamic Bayesian networks. Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016, i, 44–48. https://doi.org/10.1109/ICALT.2016.96
Stotsky, A. (2017). Modified SOLO Taxonomy Model for Constructive Alignment in Automatic Control & Signal Processing Education.
VanLehn, K. (2006). The Behavior of tutoring systems. International Journal of Artificial Intelligence in Education, 16(3), 227–265.