Package 'c403' reference manual

Title:	Exam Tools for Department of Statistics (c403), Uni Innsbruck
Description:	Support tools for managing lectures and exams at Uni Innsbruck, specifically for automatic generation and evaluation of mathematics and statistics exams.
Authors:	Achim Zeileis [aut, cre], Nikolaus Umlauf [aut], Reto Stauffer [aut]
Maintainer:	Achim Zeileis <[email protected]>
License:	GPL-2 \| GPL-3
Version:	0.9-3
Built:	2024-09-12 02:41:48 UTC
Source:	https://github.com/r-forge/exams

Deprecated: Generation of NOPS Exams (Uni Innsbruck)

Description

Unexported legacy interface to exams2nops with different default values as used at Uni Innsbruck. Instead it is recommended to use exams2nops directly.

Usage

exams2nops(
  file,
  n = 1L,
  dir = NULL,
  name = NULL,
  language = "de",
  title = "Klausur",
  course = "",
  institution = "Universit\\\"at Innsbruck",
  logo = "uibk-logo-bw.png",
  date = Sys.Date(),
  replacement = TRUE,
  intro = NULL,
  blank = NULL,
  duplex = TRUE,
  pages = NULL,
  usepackage = NULL,
  encoding = "",
  startid = 1L,
  points = NULL,
  showpoints = FALSE,
  reglength = 8L,
  ...
)
exams2nops(
  file,
  n = 1L,
  dir = NULL,
  name = NULL,
  language = "de",
  title = "Klausur",
  course = "",
  institution = "Universit\\\"at Innsbruck",
  logo = "uibk-logo-bw.png",
  date = Sys.Date(),
  replacement = TRUE,
  intro = NULL,
  blank = NULL,
  duplex = TRUE,
  pages = NULL,
  usepackage = NULL,
  encoding = "",
  startid = 1L,
  points = NULL,
  showpoints = FALSE,
  reglength = 8L,
  ...
)

Arguments

`file`	character. A specification of a (list of) exercise files.
`n`	integer. The number of copies to be compiled from `file`.
`dir`	character. The default is either display on the screen or the current working directory.
`name`	character. A name prefix for resulting exercises and RDS file.
`language`	character. Path to a DCF file with a language specification. Currently, `"en"` and `"de"` are shipped with the exams package.
`title`	character. Title of the exam, e.g., `"Statistische Datenanalyse"`.
`course`	character. Course number, e.g., `"403001"`.
`institution`	character. Name of the institution at which the exam is conducted.
`logo`	character. Path to a logo image. If the logo is not found, it is simply omitted.
`date`	character or `"Date"` object specifying the date of the exam.
`replacement`	logical. Should a replacement exam sheet be included?
`intro`	character with LaTeX code for introduction text at the beginning of the exam.
`blank`	integer. Number of blank pages to be added at the end. (Default is chosen to be half of the number of exercises.)
`duplex`	logical. Should blank pages be added after the title page (for duplex printing)?
`pages`	character. Path(s) to additional PDF pages to be included at the end of the exam.
`usepackage`	character. Names of additional LaTeX packages to be included.
`encoding`	character, passed to `Sweave`.
`startid`	integer. Starting ID for the exam numbers (defaults to 1).
`points`	integer. How many points should be assigned to each exercise? Note that this argument overules any exercise points that are provided within the `expoints` tags of the exercise files (if any). The vector of points supplied should either have length 1 or the number of exercises in the exam.
`showpoints`	logical. Should the PDF show the number of points associated with each exercise (if specified in the Rnw/Rmd exercise or in `points`)?
`reglength`	integer. Number of digits in the registration ID. The default is 8 and it can be increased up to 10.
`...`	arguments passed on to `exams2pdf`.

Details

exams2nops is a convenience interface for exams2nops with somewhat different defaults: German titles/descriptions, Uni Innsbruck logo, replacement sheets enabled, duplex printing enabled.

Value

A list of exams as generated by xexams is returned invisibly.

Examples

## load package and enforce par(ask = FALSE)
library("exams")
options(device.ask.default = FALSE)

## define an exams (= list of exercises)
myexam <- list(
  "boxplots",
  c("tstat", "ttest", "confint"),
  c("regression", "anova"),
  c("scatterplot", "boxhist"),
  "relfreq"
)

if(interactive()) {
  ## compile a single random exam (displayed on screen)
  exams2nops(c("tstat2", "anova", "boxplots"))
}

## load package and enforce par(ask = FALSE)
library("exams")
options(device.ask.default = FALSE)

## define an exams (= list of exercises)
myexam <- list(
  "boxplots",
  c("tstat", "ttest", "confint"),
  c("regression", "anova"),
  c("scatterplot", "boxhist"),
  "relfreq"
)

if(interactive()) {
  ## compile a single random exam (displayed on screen)
  exams2nops(c("tstat2", "anova", "boxplots"))
}

Legacy Generation of Exams for OpenOlat (Uni Innsbruck)

Description

Old legacy interface for producing QTI 1.2 (rather than QTI 2.1) exams for OpenOlat at Uni Innsbruck. By now superseded by exams2openolat.

Usage

exams2olat(
  file,
  n = 1L,
  dir = ".",
  name = "olattest",
  maxattempts = 1L,
  cutvalue = 1000,
  solutionswitch = FALSE,
  stitle = "Aufgabe",
  ititle = "Frage",
  adescription = "Bitte bearbeiten Sie folgende Aufgaben.",
  sdescription = "Bitte beantworten Sie folgende Frage.",
  eval = list(partial = FALSE, negative = FALSE),
  ...
)
exams2olat(
  file,
  n = 1L,
  dir = ".",
  name = "olattest",
  maxattempts = 1L,
  cutvalue = 1000,
  solutionswitch = FALSE,
  stitle = "Aufgabe",
  ititle = "Frage",
  adescription = "Bitte bearbeiten Sie folgende Aufgaben.",
  sdescription = "Bitte beantworten Sie folgende Frage.",
  eval = list(partial = FALSE, negative = FALSE),
  ...
)

Arguments

`file`	list, of `md`/`Rmd` files to be used
`n`	integer, number of randomized tests to be created (default `1L`)
`dir`	character, where to store the resulting file(s) (default `.`)
`name`	character name of the test/quiz
`maxattempts`	integer, he maximum attempts for one question (must be smaller than `100000L`).
`cutvalue`	numeric, the cutvalue at which the exam is passed
`solutionswitch`	logical Should the question/item solutionswitch be enabled? In OLAT this means that the correct solution is shown after an incorrect solution was entered by an examinee (i.e., this is typically only useful if `maxattempts = 1`).
`stitle`	character A title that should be used for the sections. May be a vector of length 1 to use the same title for each section, or a vector containing different section titles.
`ititle`	character A title that should be used for the assessment items. May be a vector of length 1 to use the same title for each item, or a vector containing different item titles. Note that the maximum of different item titles is the number of sections/questions that are used for the exam.
`adescription`	character Description (of length 1) for the overall assessment (i.e., exam).
`sdescription`	character Vector of descriptions for each section.
`eval`	named list, specifies the settings for the evaluation policy, see function `exams_eval`
`...`	forwarded to `exams2qti12`

Details

exams2olat is the old convenience interface to produce QTI 1.2 tests/exams for OpenOlat. It has been superseded by exams2openolat which offers more options and flexibility.

Deprecated: Generation of Exams for OpenOlat (Uni Innsbruck)

Description

Unexported legacy interface to exams2openolat with slightly different default values as used at the Department of Statistics, Uni Innsbruck. Instead it is recommended to use exams2openolat directly.

Usage

exams2openolat(
  file,
  n = 1L,
  dir = ".",
  name = "olattest",
  maxattempts = 1,
  cutvalue = 1000,
  solutionswitch = FALSE,
  qti = "2.1",
  stitle = "Aufgabe",
  ititle = "Frage",
  adescription = "",
  sdescription = "",
  eval = list(partial = FALSE, negative = FALSE),
  template = "qti21",
  ...
)
exams2openolat(
  file,
  n = 1L,
  dir = ".",
  name = "olattest",
  maxattempts = 1,
  cutvalue = 1000,
  solutionswitch = FALSE,
  qti = "2.1",
  stitle = "Aufgabe",
  ititle = "Frage",
  adescription = "",
  sdescription = "",
  eval = list(partial = FALSE, negative = FALSE),
  template = "qti21",
  ...
)

Arguments

`file`	character. A specification of a (list of) exercise files.
`n`	integer. The number of copies to be compiled from `file`.
`dir`	character. The default is either display on the screen or the current working directory.
`name`	character. A name prefix for resulting ZIP and RDS file.
`maxattempts`	integer. The maximum attempts for one question, may also be set to `Inf`.
`cutvalue`	numeric. The cutvalue at which the exam is passed.
`solutionswitch`	logical. Should the question/item solutionswitch be enabled?
`qti`	character indicating whether QTI `"1.2"` or `"2.1"` (default) should be generated.
`stitle`, `ititle`, `adescription`, `sdescription`	character. Descriptions for various titles/descriptions. Defaults to generic German titles.
`eval`	named list. Specifies the settings for the evaluation policy, see function `exams_eval`. The default is not to partial credits for multiple-choice exercises.
`template`	character. The IMS QTI 2.1 template that should be used. In addition to the default template this can be set to `"qti21test"` which uses almost the same template but with a PASS variable. Thus, no `cutvalue` is needed and the online tests just generate a SCORE.
`...`	arguments passed on to `exams2openolat`.

Details

exams2openolat is a convenience interface for exams2openolat with somewhat different defaults: German titles/descriptions, partial credits disabled, solution switch turned off, large cut value (so that the test cannot be passed), and with fancy quotes turned off in verbatim R output. Finally, an RDS file is stored as a by-product containing the xexams list. This enables extracting and displaying specific exercises from an online test in R.

Value

A list of exams as generated by xexams is returned invisibly.

Examples


## load package and enforce par(ask = FALSE)
library("exams")
options(device.ask.default = FALSE)

## define an exams (= list of exercises)
myexam <- list(
  "boxplots",
  c("tstat", "ttest", "confint"),
  c("regression", "anova"),
  c("scatterplot", "boxhist"),
  "relfreq"
)

## output directory
mydir <- tempdir()

## generate .zip with German OpenOlat exam in temporary directory
## using a few customization options
exams2openolat(myexam, n = 3, dir = mydir, maxattempts = 2)
dir(mydir)

## load package and enforce par(ask = FALSE)
library("exams")
options(device.ask.default = FALSE)

## define an exams (= list of exercises)
myexam <- list(
  "boxplots",
  c("tstat", "ttest", "confint"),
  c("regression", "anova"),
  c("scatterplot", "boxhist"),
  "relfreq"
)

## output directory
mydir <- tempdir()

## generate .zip with German OpenOlat exam in temporary directory
## using a few customization options
exams2openolat(myexam, n = 3, dir = mydir, maxattempts = 2)
dir(mydir)

Deprecated: Evaluate NOPS Exams (Uni Innsbruck)

Description

Unexported legacy interface to evaluate NOPS exams produced with exams2nops, and scanned by nops_scan. Instead it is recommended to use nops_scan directly.

Usage

nops_eval(
  register = Sys.glob("*.csv"),
  solutions = Sys.glob("*.rds"),
  scans = Sys.glob("nops_scan_*.zip"),
  points = NULL,
  eval = exams_eval(partial = FALSE, negative = 0.25),
  mark = c(0.5, 0.6, 0.75, 0.85),
  dir = ".",
  results = "nops_eval",
  html = NULL,
  col = hcl(c(0, 0, 60, 120), c(70, 0, 70, 70), 90),
  language = "de",
  module = NULL,
  interactive = TRUE,
  string_scans = Sys.glob("nops_string_scan_*.zip"),
  string_points = seq(0, 1, 0.25)
)

nops_eval_write_uibk(
  results = "nops_eval.csv",
  file = "exam_eval",
  dir = ".",
  language = "en",
  ...
)

nops_register(
  file = Sys.glob("*.xls*"),
  startid = 1L,
  tab = !identical(startid, FALSE),
  pdf = !identical(startid, FALSE),
  split = NULL,
  info = NULL,
  verbose = TRUE,
  ...
)
nops_eval(
  register = Sys.glob("*.csv"),
  solutions = Sys.glob("*.rds"),
  scans = Sys.glob("nops_scan_*.zip"),
  points = NULL,
  eval = exams_eval(partial = FALSE, negative = 0.25),
  mark = c(0.5, 0.6, 0.75, 0.85),
  dir = ".",
  results = "nops_eval",
  html = NULL,
  col = hcl(c(0, 0, 60, 120), c(70, 0, 70, 70), 90),
  language = "de",
  module = NULL,
  interactive = TRUE,
  string_scans = Sys.glob("nops_string_scan_*.zip"),
  string_points = seq(0, 1, 0.25)
)

nops_eval_write_uibk(
  results = "nops_eval.csv",
  file = "exam_eval",
  dir = ".",
  language = "en",
  ...
)

nops_register(
  file = Sys.glob("*.xls*"),
  startid = 1L,
  tab = !identical(startid, FALSE),
  pdf = !identical(startid, FALSE),
  split = NULL,
  info = NULL,
  verbose = TRUE,
  ...
)

Arguments

`register`	character. File name of a CSV file (semicolon-separated) of the registered students, e.g., as produced by `nops_register` based on the VIS registration lists. Must contain columns `"Matrikelnr"`, `"Name"`, `"Account"` (and `"LV"`, in case `module` marks should be computed). The file name should not contain spaces, umlaut or other special characters (something like `"GP-2014-02.csv"` is recommended).
`solutions`	character. File name of the RDS exercise file produced by `exams2nops`.
`scans`	character. File name of the ZIP file with scanning results (containing Daten.txt and PNG files) as produced by `nops_scan` (or the FSS).
`points`	numeric. Vector of points per exercise. By default read from `solutions`.
`eval`	list specification of evaluation policy as computed by `exams_eval`.
`mark`	logical or numeric. If `mark = FALSE`, no marks are computed. Otherwise `mark` needs to be a numeric vector with four threshold values to compute marks from 5 to 1. The thresholds can either be relative (all lower than 1) or absolute. In case results exactly matching a threshold, the better mark is used.
`dir`	character. File path to the output directory (the default being the current working directory).
`results`	character. Prefix for output files.
`html`	character. File name for individual HTML files, by default the same as `register` with suffix `.html`.
`col`	character. Hex color codes used for exercises with negative, neutral, positive, full solution.
`language`	character. Path to a DCF file with a language specification. Currently, `"en"` and `"de"` are shipped with the package.
`module`	logical or numeric. Should module marks (in addition to the exam marks) be computed? If this is numeric, this can be a vector of two ECTS weights for the written exam and seminar, respectively (by default equal weights of 0.5 and 0.5 are used). If `module` is not `FALSE`, `register` needs to contain a column `"LV"` with the seminar marks.
`interactive`	logical. Should possible errors in the Daten.txt file by corrected interactively? Requires the png package for full interactivity.
`string_scans`	character. Optional file name of the ZIP file with scanning results of string exercise sheets (if any) containing Daten2.txt and PNG files as produced by `nops_scan`.
`string_points`	numeric. Vector of length 5 with points assigned to string results.
`file`	character. Name of the VIS file with the registration list.
`...`	Further arguments passed on to `nops_eval_write`.
`startid`	integer or logical, default `1L`. If `FALSE` no random seats are generated.
`tab`	logical. Should a tab-separated file with the seat information be generated for OpenOlat? Defaults to `TRUE` if random seats are generated.
`pdf`	logical. Should PDF files with participant lists be generated for printing? Defaults to `TRUE` if random seats are generated.
`split`	integer. Number of participant lists ordered by seat.
`info`	character. Vector of length 4 with information about the exam: (1) type of exam (GP, LVP, VO, ...), (2) title of exam, (3) date/time (YYYY-MM-DD HH:MM), (4) location/room. By default the information is inferred from the VIS file.
`verbose`	logical. Should information about the registrations be printed to the screen?
`...`	further arguments passed to `read_vis` (e.g., `subset`).

Details

nops_eval is a companion function for exams2nops and nops_scan. It calls nops_eval from the exams package which evaluates the scanned exams by computing the sums of the points achived and (if desired) mapping them to marks (and to module marks). Furthermore HTML reports for each individual student are generated for upload into OpenOlat. In addition to this function from the exams package, the function adds the marks in the Uni Innsbruck-specifc format in an Excel spreadsheet.

nops_register is another companion function for preprocessing the registration lists that are provided by VIS. The function assigns random seats for every student and saves the result in both CSV and XLSX format as well as a tab-separated text file with the seat numbers for import into OLAT. The underlying workhorse function is read_vis.

Value

A data.frame with the detailed exam results is returned invisibly. It is also written to a CSV file in the current directory, along with a ZIP file containing the HTML reports (for upload into OLAT), and an XLSX file (for importing the marks into VIS).

Generate nops test feedback files (answer/solution)

Description

Similar to what olat_eval does but in a more detailed way. Creates html files for each participant with feedback about his/her test results (including questions and solutions).

Usage

nops_feedback(res, xexam, name = "nops_feedback")
nops_feedback(res, xexam, name = "nops_feedback")

Arguments

`res`	`data.frame`, content of the csv file created by `nops_eval`.
`xexam`	list as returned from reading the rds file
`name`	character, name of the test, will be used to name the zip archive file and the html files

Value

Returns the name of the zip file created.

Author(s)

Reto Stauffer

Extract Item-Response Data from NOPS Exams

Description

Process data from NOPS evaluation results (via nops_eval) for subsequent IRT (item response theory) modeling.

Usage

nops_itemresp(
  eval = "nops_eval.csv",
  exam = Sys.glob("*.rds"),
  psychotools = NULL,
  labels = NULL,
  ...
)
nops_itemresp(
  eval = "nops_eval.csv",
  exam = Sys.glob("*.rds"),
  psychotools = NULL,
  labels = NULL,
  ...
)

Arguments

`eval`	character. File name of CSV output from `nops_eval`.
`exam`	character. File name of RDS output from `exams2nops`.
`psychotools`	logical. Should `itemresp` from psychotools be used as the class for item response columns? By default, this is used if the psychotools package is available. If `FALSE`, matrices with dummy codings are used.
`labels`	function for extracting exercise labels from each `$metainfo`. By default the original file name `$metainfo$file` is used.
`...`	additional arguments (such as `colClasses`) passed to `read.csv2(eval, dec = ".", ...)`.

Details

nops_itemresp returns a data frame with several item response outcomes for each student: solved indicates whether or not an exercise was fully solved, partial whether or not it was at least partially solved. points gives the points achieved for each exercise. The corresponding nsolved, npartial, and npoints are the sums of these for each student. Moreover, solved2, partial2, and points2 distinguish not only the exercises within the exam but also the actual source template within each exercise.

Value

A data.frame.

Evaluate OLAT Exams

Description

Evaluate OLAT exams produced with exams2olat, and carried out and exported in (Open)OLAT.

Usage

olat_eval(file, plot = TRUE, export = FALSE)
olat_eval(file, plot = TRUE, export = FALSE)

Arguments

`file`	character. Base file name of RDS and XLS file with exam generated by `exams2olat` and exported OLAT results, respectively.
`plot`	logical. Should barplots with the aggregated results be displayed on the screen?
`export`	logical. Should detailed questions along with individual results be exported to HTML files in a ZIP archive for convenient import into OLAT?

Details

olat_eval is a companion function for exams2olat. It evaluates the exams carried out in OLAT for further processing outside of OLAT (in CSV format) and optionally exports detailed individual HTML reports (in a ZIP archive) for reimport into OLAT.

Value

Adjust language of variables/columns

Description

Modifies the names of the variables in the dat.frame as read from the xlsx file (OpenOLAT). Converts the variable names to English such that we do no longer have to care about language in all other methods/functions.

Usage

olat_eval_adjust_lang(x)
olat_eval_adjust_lang(x)

Arguments

`x`	`data.frame` read from the xlsx file

Details

Input 'x' is the data.frame as read from the xlsx file which contains user meta information and the detailed information about the individual questions of the test. Problem: depending on the user language settings of OLAT the names and order of the columns differs. This function takes input 'x' and manipulates the variable or column names in a way that the rest of the code (olat_eval) is not language dependent anymore.

tries to guess the language by calling olat_eval_guess_lang
loads the search-replace-data.frame (internally)
search and replace variable names
return input object x with new varaible names

Note: Even English to English will rename some of the variables.

The function uses the data set olat_eval_lang which is shipped with the package (see data("olat_eval_lang")).

Value

Returns the same data.frame (same dimension and data) with adjusted names.

Author(s)

Reto

Olat eval export

Description

Takes the results from read_olat_results and the information from the rds file with the individual questions/answers to generate a zip archive file with individual test results (html file). This zip file can be used to upload to OLAT.

Usage

olat_eval_export(
  results,
  xexam,
  file = "olat_eval.zip",
  html = "Testergebnisse.html",
  col = hcl(c(0, 0, 60, 120), c(70, 0, 70, 70), 90)
)
olat_eval_export(
  results,
  xexam,
  file = "olat_eval.zip",
  html = "Testergebnisse.html",
  col = hcl(c(0, 0, 60, 120), c(70, 0, 70, 70), 90)
)

Arguments

`results`	data.frame, results from `read_olat_results`
`xexam`	list the object loaded from the rds file which contains the individual questions/answers. The length of the list corresponds to the number of randomized tests, each list element contains N elements (N = number of questions) with all the information required to generate the output.
`file`	character, name of the zip flie, the final archive file where to store the exported html files
`html`	character, name of the output files (html files)
`col`	character vector of length `4L` with hex colors, default is `hcl(c(0, 0, 60, 120), c(70, 0, 70, 70), 90)`

Value

Return of the zip() call.

Guess language of the OLAT results file

Description

Given a set of character vectors this function tries to gess the language of the imported file. This allows to evaluate exams from OpenOLAT in different languages. Used by olat_eval to rename the columns to make the evaluation independent from the language used when exporting the results via OLAT.

Usage

olat_eval_guess_lang(x)
olat_eval_guess_lang(x)

Arguments

`x`	character vector with column names

Value

Returns the language name ("en", "de") if the function is able to guess the language. Else the script will stop.

Author(s)

Reto

Olat evaluation language data set

Description

Depending on the user profile language settings OLAT exports test results (xlsx file) in differnet languages. To make things easier in the c403 package the variable names are modified using this language search-and-replace data set.

Usage

olat_eval_lang
olat_eval_lang

Format

A data frame with a language flag (given your export was in German, only rows with lang == "de" will be considered). The two columns search and replace are used for gsub() (regular expression string replacement).

Author(s)

Reto Stauffer

Extract (and Display) Exercises from OpenOlat Exams

Description

Extract (and display) selected exercises from OpenOlat exams produced with exams2openolat in order to see both question and solution.

Usage

olat_exercise(x, ..., fixed = TRUE, show = TRUE, mathjax = TRUE)
olat_exercise(x, ..., fixed = TRUE, show = TRUE, mathjax = TRUE)

Arguments

`x`	character or list. Either an OpenOlat exam list as produced by `exams2openolat` or a character with the file path to an `.rds` file containing such an exam.
`...`	character. Either a single numeric index of the exam to be selected. Or, alternatively, patterns to be searched for in the question text of the exams in `x`.
`fixed`	logical. Should the search pattern(s) be matched as is?
`show`	logical. Should the exercise(s) found be shown in the browser?
`mathjax`	logical. Should the JavaScript from http://www.MathJax.org/ be included for rendering mathematical formulas?

Details

olat_exercise is a companion function for exams2openolat. As OpenOlat has no option during an exam to look at the precise question of a particular student – and more importantly the corresponding solution – one strategy is to search for particular words, numbers, or other strings in the database of all questions from an OpenOlat exam.

olat_exercise goes through all questions in the exam and selects those question(s) that match(es) the given search patterns. By default the question(s)/solution(s) are displayed in the browser and returned invisibly.

Value

A list containing either a single exercise or a list of such exercises (in case the search patterns do not yield a unique question).

Generate OLAT test feedback files (answer/solution)

Description

Similar to what olat_eval does but in a more detailed way. Creates html files for each participant with feedback about his/her test results (including questions and solutions). For OLAT tests use olat_feedback, for nops tests (written tests) use nops_feedback.

Usage

olat_feedback(res, xexam, name = "olat_feedback")

olat_feedback_render_one(res, xexam, i, htmlfile = "Result.html", show = FALSE)
olat_feedback(res, xexam, name = "olat_feedback")

olat_feedback_render_one(res, xexam, i, htmlfile = "Result.html", show = FALSE)

Arguments

`res`	data.frame, result from olat_eval
`xexam`	list as returned from reading the rds file
`name`	character, name of the test, will be used to name the zip archive file and the html files
`i`	integer, row index (which row in 'x' to render)
`htmlfile`	character, name of the output file
`show`	logical, if set to `TRUE` the html file will be opened in a browser

Value

Returns the name of the zip file created.

Author(s)

Reto Stauffer

Read OLAT Results from XLSX file

Description

Get OLAT test results (FIXME: eval support and cloze evaluation). TODO: Write proper documentation.

Usage

read_olat_results(file, xexam = NULL)
read_olat_results(file, xexam = NULL)

Arguments

`file`	name of the file ...
`xexam`	...

Value

...

Reading VIS Registrations

Description

Read registration lists (for exams or courses) from the Excel export of VIS (which actually may or may not be XLS or HTML files).

Usage

read_vis(file, ...)

vis_register(file = Sys.glob("*.xls"), subset = TRUE)
read_vis(file, ...)

vis_register(file = Sys.glob("*.xls"), subset = TRUE)

Arguments

`file`	character with file name of an XLS file from VIS.
`...`	additional arguments passed to `read.xlsx`.
`subset`	logical. Should students without confirmed registration be omitted?

Details

VIS offers Excel exports but in case of registration lists these are actually HTML files containing an HTML table. (Note that as of 2021 VIS offers an additional “real Excel” export.) HTMLtables are read using the XML package. However, some exports are also converted to actual Excel files which are read using the xlsx package. In either case some basic cleaning is done and additional meta-information is extracted.

The vis_register function loops over reading several VIS exports and then consolidates the resulting data frames.

Value

A data.frame with an additional attribute "info" providing details about the type of course ("LV") or exam ("GP").

Auxiliary Formatting Functions

Description

Auxiliary functions for formatting elements of exams.

Usage

uibkmark(x, factor = TRUE)

mchoice2text(
  x,
  true = "\\\\textbf{Richtig}",
  false = "\\\\textbf{Falsch}"
)
uibkmark(x, factor = TRUE)

mchoice2text(
  x,
  true = "\\\\textbf{Richtig}",
  false = "\\\\textbf{Falsch}"
)

Arguments

`x`	numeric (`uibkmark`) or logical (`mchoice2text`) vector.
`factor`	logical. Should the result be a factor or a character?
`true`	character. Text for true results.
`false`	character. Text for false results.

Details

The function uibkmark maps the numbers 1 to 5 to the mark labels SGT1, GUT2, etc. as used by UIBK.

The function mchoice2text masks the exams function of the same name in order to show German text.

Examples

uibkmark(1:5)
mchoice2text(c(TRUE, FALSE))

uibkmark(1:5)
mchoice2text(c(TRUE, FALSE))

Randomly Assign VIS Participants into Groups (as HTML Table)

Description

Randomly assign a vector of names (typically obtained from a VIS registration) into groups and display the result as an HTML table.

Usage

vis_groups(x, nrow = 5L, ncol = 2L, ...)
vis_groups(x, nrow = 5L, ncol = 2L, ...)

Arguments

`x`	character. Either a vector of names or a file name (csv or xls/xlsx from VIS) from which the `Name` column can be extracted.
`nrow`, `ncol`	numeric. Number of rows and columns into which the students should be assigned.
`...`	additional arguments passed to `read_vis` or `read.csv2`.

Value

A character vector with the HTML code is returned invisibly.

Package 'c403'

Help Index

Deprecated: Generation of NOPS Exams (Uni Innsbruck)

Description

Usage

Arguments

Details

Value

See Also

Examples

Legacy Generation of Exams for OpenOlat (Uni Innsbruck)

Description

Usage

Arguments

Details

Deprecated: Generation of Exams for OpenOlat (Uni Innsbruck)

Description

Usage

Arguments

Details

Value

See Also

Examples

Deprecated: Evaluate NOPS Exams (Uni Innsbruck)

Description

Usage

Arguments

Details

Value

See Also

Generate nops test feedback files (answer/solution)

Description

Usage

Arguments

Value

Author(s)

Extract Item-Response Data from NOPS Exams

Description

Usage

Arguments

Details

Value

See Also

Evaluate OLAT Exams

Description

Usage

Arguments

Details

Value

See Also

Adjust language of variables/columns

Description

Usage

Arguments

Details

Value

Author(s)

Olat eval export

Description

Usage

Arguments

Value

Guess language of the OLAT results file

Description

Usage

Arguments

Value

Author(s)

Olat evaluation language data set

Description

Usage

Format

Author(s)

Extract (and Display) Exercises from OpenOlat Exams

Description

Usage

Arguments

Details

Value

See Also