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Learning Analytics support for Just-in-time Teaching Israel Gutiérrez Jornadas GAST - 8 de julio de 2013

Learning Analytics Support for Just-in-time Teaching

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Presentation of my PhD thesis status in the annuel meeting of the GAST research group of UC3M

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Page 1: Learning Analytics Support for Just-in-time Teaching

Learning Analytics support for

Just-in-time Teaching

Israel GutiérrezJornadas GAST - 8 de julio de 2013

Page 2: Learning Analytics Support for Just-in-time Teaching

Just-in-time Teaching

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Awareness

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Learning Analytics

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Lab sessions

photo: berkeleylab at flickr

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Research Questions

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Research Questions

“What are the problems that emerge in highly interactive face-to-face sessions?”

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Research Questions

“Could a just-in-time teaching system be used to overcome the previous problems, facilitating the teacher management of the session driving it to the intended learning objectives and improving the efficiency of the students allowing them to focus on the assignment?”

“What are the problems that emerge in highly interactive face-to-face sessions?”

Page 9: Learning Analytics Support for Just-in-time Teaching

MethodologyDesign-based research

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MethodologyDesign-based research

• Based on theory but pragmatic

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MethodologyDesign-based research

• Based on theory but pragmatic

• Real-world setting

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MethodologyDesign-based research

• Based on theory but pragmatic

• Real-world setting

• Iterative process

Page 13: Learning Analytics Support for Just-in-time Teaching

MethodologyDesign-based research

• Based on theory but pragmatic

• Real-world setting

• Iterative process

• Mixed methods

Page 14: Learning Analytics Support for Just-in-time Teaching

MethodologyDesign-based research

• Based on theory but pragmatic

• Real-world setting

• Iterative process

• Mixed methods

• Research agenda updated with findings

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Problems in lab session

Literature Experiments

Experts

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Literature

Lantern (Alavi & Dillenbourg, 2009)

PLITAZ (Dong & Hwang, 2012)

Problem Source Stakeholder

Demand an answer Alavi09 Students

Wait longer Alavi09 Students

Fails to notice requests Alavi09 Teachers

Heavy workload Dong12 Teachers

Isolation Dong12 Students

Limited awareness Dong12 Teachers

Simultaneous requests Dong12 Teachers

Page 17: Learning Analytics Support for Just-in-time Teaching

AMM11 (Gutiérrez Rojas, Crespo García, & Delgado Kloos, 11)

AS11 (Gutiérrez Rojas & Crespo García, 12)

AMM12 (Gutiérrez Rojas, Crespo García, & Delgado Kloos, 12)

Problem Source StakeholderMethodology increases workload AMM11 Teachers

Huge number of requests AS11 Teachers

Attention to personalized feedback AS11 Students

Ask without thinking AS11 Students

Shorten explanation if overwhelmed AS11 Teachers

Perceive not enough teachers AS11 Students

Attention order unfairness AS11 Teachers

Devote time monitoring the teacher AS11 Students

Not aware of time AS11 Teachers

Not like writing questions AMM12 Students

Not relevant not current info AMM12 Teachers

Interface not straight-forward AMM12 Teachers

Experiments

Page 18: Learning Analytics Support for Just-in-time Teaching

OUNLUC3M

Experts

KU LeuvenRWTH Aachen

Problem Source Stakeholder

Not support for project-based learning EXP Teachers

Not support for exchange questions EXP Students

Not support for exchange progress EXP Students

Not collecting evidences for summative EXP Teachers

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RequirementsRequirement Stakeholder

Provide time management mechanisms Teachers

Provide info about students progression Teachers

Provide info about students requests Teachers

Straightforward UI Teachers

Responsive UI Teachers

Store and process students records Teachers

Support different teaching methods Teachers

Provide info to students for self-awareness Students

As much personalized feedback as possible Students

Enable students to focus on the assignment Students

Share and rate questions and answers Students

Share progression Students

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in-Class Live Analytics for Assessment and

Orchestrationhttp://www.class-on.org

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Student UI

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Student UI

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Teacher UI

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Teacher UI

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Analytics

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Authentic experiments

AMM12 AS12 AMM13

Date March-May 2012

November 2012

February-May 2013

Duration 18 sessions 6 sessions 10 sessions*

Teachers 4 3 1

Students 70 121 30

Group settings Dyads Dyads Dyads

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Results

Teachers interviews

Students surveys

Collected traces

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Results

Teachers interviews

Students surveys

Collected traces

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Results

Teachers interviews

Students surveys

Collected traces Requirements

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Lessons Learned

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Lessons Learned

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Lessons Learned

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Lessons Learned

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Lessons Learned

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Contributions

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Contributions

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Contributions

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Contributions

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Related Publications

Gutiérrez Rojas, I., Crespo García, R. M., & Delgado Kloos, C. (2012). Enhancing orchestration of lab sessions by means of awareness mechanisms. EC-TEL 2012: 21st century learning for 21st century skills: 7th European Conference of Technology Enhanced Learning, 18-21 September 2012, Saarbrücken (Germany) (Vol. 7563, pp. 113–125).

Gutiérrez Rojas, I., & Crespo García, R. M. (2012). Towards efficient provision of feedback in lab sessions. International Conference on Advanced Learning Technologies (ICALT) (Vol. 1). Rome.

Gutiérrez Rojas, I., Crespo García, R. M., & Delgado Kloos, C. (2011). Orchestration and feedback in lab sessions: improvements in quick feedback provision. Towards Ubiquitous Learning. 6th European Conference of Technology Enhanced Learning, EC-TEL 2011 Palermo, Italy, September 20-23, 2011 Proceedings. LNCS, 6964. doi:10.1007/978-3-642-23985-4

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Future Work

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Future Work

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http://www.moocrank.com

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Thank you very much!