Looking For Collaborators - Revision history

R.hosseini at 02:06, 14 December 2017

2017-12-14T02:06:23Z

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	We are looking for collaborators who are interested in using PCLab in introductory Java/Python programming classes. PCLab is designed to help students to construct ~~program, it~~ consists of programming examples and coding exercises for different topics in the introductory programming course.		We are looking for collaborators who are interested in using PCLab in introductory Java/Python programming classes. PCLab is designed to help students to construct programs. It consists of programming examples and coding exercises for different topics in the introductory programming course.

	== Videos ==		== Videos ==

R.hosseini: /* Sample Publications */

2017-12-14T02:05:38Z

Sample Publications

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	== ~~Sample~~ Publications ==		== Selected Publications ==
			The following papers present sample of studies that we conducted using Mastery Grids in different programming classes.

	* Loboda, T., Guerra, J., Hosseini, R., and Brusilovsky, P. (2014) Mastery Grids: An Open Source Social Educational Progress Visualization. In: S. de Freitas, C. Rensing, P. J. Muñoz Merino and T. Ley (eds.) Proceedings of 9th European Conference on Technology Enhanced Learning (EC-TEL 2014), Graz, Austria, September 16-19, 2014 (Best paper award). ([http://link.springer.com/chapter/10.1007%2F978-3-319-11200-8_18#page-1 paper]) ([http://www.slideshare.net/pbrusilovsky/ectel2014-mg presentation])		* Loboda, T., Guerra, J., Hosseini, R., and Brusilovsky, P. (2014) Mastery Grids: An Open Source Social Educational Progress Visualization. In: S. de Freitas, C. Rensing, P. J. Muñoz Merino and T. Ley (eds.) Proceedings of 9th European Conference on Technology Enhanced Learning (EC-TEL 2014), Graz, Austria, September 16-19, 2014 (Best paper award). ([http://link.springer.com/chapter/10.1007%2F978-3-319-11200-8_18#page-1 paper]) ([http://www.slideshare.net/pbrusilovsky/ectel2014-mg presentation])

R.hosseini: /* Publications */

2017-12-14T02:02:50Z

Publications

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	==Publications==		== Sample Publications ==
	* Loboda, T., Guerra, J., Hosseini, R., and Brusilovsky, P. (2014) Mastery Grids: An Open Source Social Educational Progress Visualization. In: S. de Freitas, C. Rensing, P. J. Muñoz Merino and T. Ley (eds.) Proceedings of 9th European Conference on Technology Enhanced Learning (EC-TEL 2014), Graz, Austria, September 16-19, 2014 (Best paper award). ([http://link.springer.com/chapter/10.1007%2F978-3-319-11200-8_18#page-1 paper]) ([http://www.slideshare.net/pbrusilovsky/ectel2014-mg presentation])		* Loboda, T., Guerra, J., Hosseini, R., and Brusilovsky, P. (2014) Mastery Grids: An Open Source Social Educational Progress Visualization. In: S. de Freitas, C. Rensing, P. J. Muñoz Merino and T. Ley (eds.) Proceedings of 9th European Conference on Technology Enhanced Learning (EC-TEL 2014), Graz, Austria, September 16-19, 2014 (Best paper award). ([http://link.springer.com/chapter/10.1007%2F978-3-319-11200-8_18#page-1 paper]) ([http://www.slideshare.net/pbrusilovsky/ectel2014-mg presentation])

R.hosseini: /* More about Open Social Learner Model Interface: Mastery Grids */

2017-12-14T02:02:15Z

More about Open Social Learner Model Interface: Mastery Grids

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	== ~~More about Open Social Learner Model Interface:~~ Mastery Grids ==		== Mastery Grids Interface ==
	{\|		{\|
	\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]		\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]

R.hosseini: /* More about Open Social Learner Model Interface: Mastery Grids */

2017-12-14T02:01:48Z

More about Open Social Learner Model Interface: Mastery Grids

← Older revision		Revision as of 02:01, 14 December 2017
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	{\|		{\|
	\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]		\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]
	\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement and retention.		\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement, and retention.

	* [[Mastery Grids Interface\|More about Mastery Grids interface]]		* [[Mastery Grids Interface\|More about Mastery Grids interface]]

R.hosseini: /* More about Open Social Learner Model Interface: Mastery Grids */

2017-12-14T02:01:00Z

More about Open Social Learner Model Interface: Mastery Grids

← Older revision		Revision as of 02:01, 14 December 2017
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	{\|		{\|
	\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]		\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]
	\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface~~. To read more about Mastery Grids~~. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement and retention.		\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement and retention.

	* [[Mastery Grids Interface\|More about Mastery Grids interface]]		* [[Mastery Grids Interface\|More about Mastery Grids interface]]

R.hosseini: /* Videos */

2017-12-14T01:59:37Z

Videos

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	== Videos ==		== Videos ==
	{\|		{\|
	\|valign="top" \| [[Image:~~Pclab_challenge~~.jpg\|left\|thumb\|'''100'''\|PCLab]]		\|valign="top" \| [[Image:pclab.jpg\|left\|thumb\|'''100'''\|PCLab]]
	\|valign="top" \| The following videos introduce PCLab for Java/Python programming.		\|valign="top" \| The following videos introduce PCLab for Java/Python programming.
	* [http://bit.ly/pclab-java PCLab (Java)]		* [http://bit.ly/pclab-java PCLab (Java)]

R.hosseini: /* Videos */

2017-12-14T01:38:54Z

Videos

← Older revision		Revision as of 01:38, 14 December 2017
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	== Videos ==		== Videos ==
	{\|		{\|
			\|valign="top" \| [[Image:Pclab_challenge.jpg\|left\|thumb\|'''100'''\|PCLab]]
	\|valign="top" \| The following videos introduce PCLab for Java/Python programming.		\|valign="top" \| The following videos introduce PCLab for Java/Python programming.
	~~\|valign="top" \| [[Image:Pclab_challenge.jpg\|left\|thumb\|'''100'''\|PCLab]]~~

	* [http://bit.ly/pclab-java PCLab (Java)]		* [http://bit.ly/pclab-java PCLab (Java)]
	* [http://bit.ly/pclab-python PCLab (Python)]		* [http://bit.ly/pclab-python PCLab (Python)]

R.hosseini: /* Videos */

2017-12-14T01:38:35Z

Videos

← Older revision		Revision as of 01:38, 14 December 2017
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	\|valign="top" \| The following videos introduce PCLab for Java/Python programming.		\|valign="top" \| The following videos introduce PCLab for Java/Python programming.
	\|valign="top" \| [[Image:Pclab_challenge.jpg\|left\|thumb\|'''100'''\|PCLab]]		\|valign="top" \| [[Image:Pclab_challenge.jpg\|left\|thumb\|'''100'''\|PCLab]]
	* [http://bit.ly/pclab-java PCLab (Java)].
	* [http://bit.ly/pclab-python PCLab (Python)].		* [http://bit.ly/pclab-java PCLab (Java)]
			* [http://bit.ly/pclab-python PCLab (Python)]
	\|}		\|}

R.hosseini at 01:37, 14 December 2017

2017-12-14T01:37:19Z

← Older revision		Revision as of 01:37, 14 December 2017
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	== Videos ==		== Videos ==
	~~The following videos introduce PCLab for Java/Python programming.~~
	{\|		{\|
			\|valign="top" \| The following videos introduce PCLab for Java/Python programming.
	\|valign="top" \| [[Image:Pclab_challenge.jpg\|left\|thumb\|'''100'''\|PCLab]]		\|valign="top" \| [[Image:Pclab_challenge.jpg\|left\|thumb\|'''100'''\|PCLab]]
	* [http://bit.ly/pclab-java PCLab (Java)].		* [http://bit.ly/pclab-java PCLab (Java)].

← Older revision		Revision as of 02:01, 14 December 2017
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	{\|		{\|
	\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]		\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]
	\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement and retention.		\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement, and retention.

	* [[Mastery Grids Interface\|More about Mastery Grids interface]]		* [[Mastery Grids Interface\|More about Mastery Grids interface]]

← Older revision		Revision as of 02:01, 14 December 2017
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	{\|		{\|
	\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]		\|valign="top" \| [[Image:Mg_1.png\|thumb\|left\|'''100'''\|Mastery Grids Interface]]
	\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface~~. To read more about Mastery Grids~~. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement and retention.		\|valign="top" \| PCLab presents examples and problems using Mastery Grids interface. Mastery Grids is both an innovative Open Social Learner Model Interface and an adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open learner modeling, and adaptive navigation support to access multiple kinds of smart learning content. Mastery Grids is supported by adaptive social learning framework [[Aggregate]]. This framework supports several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example). Our past research shows that open student modeling and social comparison effectively increases students’ performance, motivation, engagement and retention.

	* [[Mastery Grids Interface\|More about Mastery Grids interface]]		* [[Mastery Grids Interface\|More about Mastery Grids interface]]