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%global _empty_manifest_terminate_build 0
Name: python-recommender-xblock
Version: 2.0.1
Release: 1
Summary: recommender XBlock
License: AGPL 3.0
URL: https://github.com/edx/RecommenderXBlock
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/8e/b6/1fcdfab2aa9061a609ee46511958acc9096a00631958c64f417e04cc71c2/recommender-xblock-2.0.1.tar.gz
BuildArch: noarch
%description
This XBlock shows students a list of recommended resources for a given
problem. The resources are recommended, edited, and voted by students.
For each resource, we show its title, link, short summary, preview
screenshot, and votes:
This is an module where students can share useful resources/hints and rate
them. This crowdsourcing mechanism allows a scalable solution to fulfill
students with varying learning needs.
* Staff Interface: manage problematic resourse easier, add comments, endorse,
de-endorse resource
* Discussion around each resource
* Better interface for adding varying types of resource (e.g., specific timestamps
in the video or specific elements in a learning sequence)
* Better user help/documentation
* Tag/categorize resources around specific misconceptions
In a randomized control trial in a computer science course, this XBlock led to
similar learning outcomes in about 10% less time than without it (so efficiency of
learning was about 10% better than without the XBlock -- students learned the same
in less time). Qualitative analysis as well as quantitative analysis of usage data
showed it was helpful in contexts where there were complex, multiconcept problems.
It was not helpful or used in contexts where there were simple, single-step problems.
In an analysis comparing to other remediation systems within edX, it was more
effective for deeper, more complex misconceptions, and less effective for simple
errors.
%package -n python3-recommender-xblock
Summary: recommender XBlock
Provides: python-recommender-xblock
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-recommender-xblock
This XBlock shows students a list of recommended resources for a given
problem. The resources are recommended, edited, and voted by students.
For each resource, we show its title, link, short summary, preview
screenshot, and votes:
This is an module where students can share useful resources/hints and rate
them. This crowdsourcing mechanism allows a scalable solution to fulfill
students with varying learning needs.
* Staff Interface: manage problematic resourse easier, add comments, endorse,
de-endorse resource
* Discussion around each resource
* Better interface for adding varying types of resource (e.g., specific timestamps
in the video or specific elements in a learning sequence)
* Better user help/documentation
* Tag/categorize resources around specific misconceptions
In a randomized control trial in a computer science course, this XBlock led to
similar learning outcomes in about 10% less time than without it (so efficiency of
learning was about 10% better than without the XBlock -- students learned the same
in less time). Qualitative analysis as well as quantitative analysis of usage data
showed it was helpful in contexts where there were complex, multiconcept problems.
It was not helpful or used in contexts where there were simple, single-step problems.
In an analysis comparing to other remediation systems within edX, it was more
effective for deeper, more complex misconceptions, and less effective for simple
errors.
%package help
Summary: Development documents and examples for recommender-xblock
Provides: python3-recommender-xblock-doc
%description help
This XBlock shows students a list of recommended resources for a given
problem. The resources are recommended, edited, and voted by students.
For each resource, we show its title, link, short summary, preview
screenshot, and votes:
This is an module where students can share useful resources/hints and rate
them. This crowdsourcing mechanism allows a scalable solution to fulfill
students with varying learning needs.
* Staff Interface: manage problematic resourse easier, add comments, endorse,
de-endorse resource
* Discussion around each resource
* Better interface for adding varying types of resource (e.g., specific timestamps
in the video or specific elements in a learning sequence)
* Better user help/documentation
* Tag/categorize resources around specific misconceptions
In a randomized control trial in a computer science course, this XBlock led to
similar learning outcomes in about 10% less time than without it (so efficiency of
learning was about 10% better than without the XBlock -- students learned the same
in less time). Qualitative analysis as well as quantitative analysis of usage data
showed it was helpful in contexts where there were complex, multiconcept problems.
It was not helpful or used in contexts where there were simple, single-step problems.
In an analysis comparing to other remediation systems within edX, it was more
effective for deeper, more complex misconceptions, and less effective for simple
errors.
%prep
%autosetup -n recommender-xblock-2.0.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-recommender-xblock -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.1-1
- Package Spec generated
|
