DEVELOPING PEDAGOGICAL QUALITY WITH LECTURE CAPTURE
                                             Ilkka Kukkonen, Aducate - Centre for Training and Development, University of Eastern Finland
       ABSTRACT                                        BACKGROUND                                                      RESEARCH QUESTIONS                                                                            LEARNING ANALYTICS
Lecture capture and distribution     School and work in the future will be very different from          New teaching methods, technical solutions, and distance                                           The growth rate of digital data creates enormous possibilities
expand the concept of                today. Pedagogical models need to be reformed for fulfilling       learning practices among others have shaped policy of                                             for learning analytics. The nature of the data is becoming
participation. Geographical          the future requirements, and technology serves as a basis for      supplementary education for teachers and educators. Teachers                                      more intelligent with semantics and collective efforts, which
distances, learning difficulties,    this development. Educational organizations are constantly         may teach locally; still, lectures can be provided globally. This                                 helps to connect essential information to support and
and social barriers do not hinder    obligated to pursue cost-effectiveness and at the same time        challenges the traditional role of teacher as a person in charge                                  understand student behavior. With learning analytics we can
the attendance at lectures. Thus,    increase the educational flexibility for participation.            of certain student group or course and it requires new                                            interpret more comprehensive understanding and identify
lecture capture can promote                                                                             pedagogical skills and understanding of competence                                                students´ individual needs to create supportive and even
pedagogical democracy,               Systematic lecture capturing can provide approaches to             development. Thus, we will study how modern video                                                 predictive models in personalization and adaptation.
sustainable development, and         support these goals with a framework for never-ending              technology can support learning and teaching while enhancing
ecological viewpoints.               lecture. However, it seems to be very common to start              pedagogical quality and advances in learning results.                                             In addition to video-analytics, research will utilize interactive
                                     implementing lecture capture technology straightforward as                                                                                                           features that enable students to comment, share bookmarks
In this research we will study       technological solution with the assumption that technology         Even though the technology and audience is ready, wide-                                           and write personal notes to lecture captures as well as ask the
how modern video technology          saves time and resources. This approach often lacks                spread lecture capture still lacks success stories and                                            teacher and fellow students questions. This functionality
can support learning and             pedagogical viewpoints and presents challenges to                  pedagogically proven concepts. Also calculating and                                               provides a new kind of space-time dimension to study learning
teaching while enhancing             organizational culture.                                            presenting the components of ROI from lecture capture                                             environments and lecture captures because not all the
pedagogical quality and                                                                                 implementation can be challenging regarding pedagogical                                           students are studying this particular course simultaneously.
advances in learning results. In
addition to that, the project will
                                                      METHODOLOGY                                       quality and learning results in organizational level. In this
                                                                                                        project we will compare effects of lecture capture in distance
                                                                                                                                                                                                          Lecture capture technologies are currently evolving rapidly
                                                                                                                                                                                                          regarding analytics and personalization. So far, however,
compare effects of lecture                                                                              learning to classroom learning.                                                                   academic research in utilizing these technologies in learning is
                                     Research data is collected from mathematic, physics, and
capture in distance learning to                                                                                                                                                                           still rare from learning analytics point of view.
                                     chemistry lectures in teacher training at the University of
classroom learning.
                                     Eastern Finland, Savonlinna campus. 150 students are divided
Learning results are evaluated
                                     into three groups.                                                            A
                                                                                                                 Group
                                                                                                                                                       B
                                                                                                                                                      Group
                                                                                                                                                                                          C
                                                                                                                                                                                        Group
                                                                                                                                                                                                              OUTCOMES AND DELIVERABLES
between different groups and
                                     The first group will attend the courses as normal classroom
also in the basis of lecture and                                                                                                                                                                          •   Articles in journals and whitepapers focusing on
                                     lessons, the second group will attend the course in classrooms
subject so the suitability of the                                                                                                                                                                             developing pedagogical quality with lecture capture
                                     but is also provided possibility to review lectures via captures
current method for variable
                                     right after lectures. The third group attends the course           Participates in teaching          Participates in teaching             Participates in teaching   •   Framework for evaluating and comparing pedagogical
subjects can be shown in                                                                                      via lectures                   via lectures and is               only via lecture capture
                                     remotely via lecture capture. The data is acquired as long as                                                                                                            aspects of lecture capture and ROI
practice. The use of learning                                                                                                                provided access to
                                     the statistical saturation is received. In the first part of the   Students will attend the             captured lectures                  Students attend the
analytics enables evaluation and                                                                                                                                                                          •   Presentations in conferences and webinars
                                     research we will compare different teaching methods in terms          course as normal                 Possibility to use the              course remotely via
supportive interventions in                                                                                classroom lessons                captured lectures for                captured lectures
                                     of learning outcomes and interviews. Learning outcomes are                                                                                                           •   Ph.D. Thesis 2014 “The Use of Lecture Capture in
individual learning paths.                                                                                                                 retention and support               provided after lecture
                                     compared between the groups also in terms of different                                                                                                                   Mathematical Substances in Teacher Training”
                                     mathematical subjects.

                                     The second part utilizes signals that are showed by learning
                                                                                                             Process                  DESIGN               GATHERING                 ANALYSIS
                                                                                                                                                                                                              ORGANIZATION AND FUNDING
        CONTACT                      analytics. They indicate changes in students’ learning
                                     processes. Also the results of web and video-analytics as well           2003                     2010                      2011                  2012               •   Research is conducted and disseminated by Aducate,
                                     as students’ notes, comments, and questions in the lecture                                                                                                               Centre for Training and Development of University of
Ilkka Kukkonen
                                     capture system are used as indicators and variables. After                                                                                                               Eastern Finland and Ilona IT Oy.
University of Eastern Finland                                                                               Development             Background                Conducting the      Data analysis and
                                                                                                               begins                  study                      study            Interpretation
Email: ilkka.kukkonen@uef.fi         analysis we can deepen our understanding how individuals’                                                                                                            •   Project is funded by European Regional Development Fund
                                                                                                           Experimenting           Developing and          Lecture capture          Synthesis with
Phone: +35850 320 7941               learning may be supported by lecture capture and how lecture           with various             testing the             in research               learning               (ERDF), Aducate, Centre for Training and Development of
Website: http://aducate.fi/movie     capture can extend the concept of personal learning                    technologies               research              framework                analytics               University of Eastern Finland, IlonaIT Oy and City of
                                                                                                                                     framework
Twitter: @ilkkakukkonen              environment.                                                           “Simultaneus                                      Data gathering        Benchmarking              Savonlinna.
                                                                                                           Space”-concept          Project proposal            and analysis
                                                                                                                                                                                    Reporting and
                                                                                                            Networking in            Partnering,              Reporting and         dissemination
                                                                                                                SIG’s                 funding                 dissemination

Developing pedagogical quality with lecture capture

  • 1.
    DEVELOPING PEDAGOGICAL QUALITYWITH LECTURE CAPTURE Ilkka Kukkonen, Aducate - Centre for Training and Development, University of Eastern Finland ABSTRACT BACKGROUND RESEARCH QUESTIONS LEARNING ANALYTICS Lecture capture and distribution School and work in the future will be very different from New teaching methods, technical solutions, and distance The growth rate of digital data creates enormous possibilities expand the concept of today. Pedagogical models need to be reformed for fulfilling learning practices among others have shaped policy of for learning analytics. The nature of the data is becoming participation. Geographical the future requirements, and technology serves as a basis for supplementary education for teachers and educators. Teachers more intelligent with semantics and collective efforts, which distances, learning difficulties, this development. Educational organizations are constantly may teach locally; still, lectures can be provided globally. This helps to connect essential information to support and and social barriers do not hinder obligated to pursue cost-effectiveness and at the same time challenges the traditional role of teacher as a person in charge understand student behavior. With learning analytics we can the attendance at lectures. Thus, increase the educational flexibility for participation. of certain student group or course and it requires new interpret more comprehensive understanding and identify lecture capture can promote pedagogical skills and understanding of competence students´ individual needs to create supportive and even pedagogical democracy, Systematic lecture capturing can provide approaches to development. Thus, we will study how modern video predictive models in personalization and adaptation. sustainable development, and support these goals with a framework for never-ending technology can support learning and teaching while enhancing ecological viewpoints. lecture. However, it seems to be very common to start pedagogical quality and advances in learning results. In addition to video-analytics, research will utilize interactive implementing lecture capture technology straightforward as features that enable students to comment, share bookmarks In this research we will study technological solution with the assumption that technology Even though the technology and audience is ready, wide- and write personal notes to lecture captures as well as ask the how modern video technology saves time and resources. This approach often lacks spread lecture capture still lacks success stories and teacher and fellow students questions. This functionality can support learning and pedagogical viewpoints and presents challenges to pedagogically proven concepts. Also calculating and provides a new kind of space-time dimension to study learning teaching while enhancing organizational culture. presenting the components of ROI from lecture capture environments and lecture captures because not all the pedagogical quality and implementation can be challenging regarding pedagogical students are studying this particular course simultaneously. advances in learning results. In addition to that, the project will METHODOLOGY quality and learning results in organizational level. In this project we will compare effects of lecture capture in distance Lecture capture technologies are currently evolving rapidly regarding analytics and personalization. So far, however, compare effects of lecture learning to classroom learning. academic research in utilizing these technologies in learning is Research data is collected from mathematic, physics, and capture in distance learning to still rare from learning analytics point of view. chemistry lectures in teacher training at the University of classroom learning. Eastern Finland, Savonlinna campus. 150 students are divided Learning results are evaluated into three groups. A Group B Group C Group OUTCOMES AND DELIVERABLES between different groups and The first group will attend the courses as normal classroom also in the basis of lecture and • Articles in journals and whitepapers focusing on lessons, the second group will attend the course in classrooms subject so the suitability of the developing pedagogical quality with lecture capture but is also provided possibility to review lectures via captures current method for variable right after lectures. The third group attends the course Participates in teaching Participates in teaching Participates in teaching • Framework for evaluating and comparing pedagogical subjects can be shown in via lectures via lectures and is only via lecture capture remotely via lecture capture. The data is acquired as long as aspects of lecture capture and ROI practice. The use of learning provided access to the statistical saturation is received. In the first part of the Students will attend the captured lectures Students attend the analytics enables evaluation and • Presentations in conferences and webinars research we will compare different teaching methods in terms course as normal Possibility to use the course remotely via supportive interventions in classroom lessons captured lectures for captured lectures of learning outcomes and interviews. Learning outcomes are • Ph.D. Thesis 2014 “The Use of Lecture Capture in individual learning paths. retention and support provided after lecture compared between the groups also in terms of different Mathematical Substances in Teacher Training” mathematical subjects. The second part utilizes signals that are showed by learning Process DESIGN GATHERING ANALYSIS ORGANIZATION AND FUNDING CONTACT analytics. They indicate changes in students’ learning processes. Also the results of web and video-analytics as well 2003 2010 2011 2012 • Research is conducted and disseminated by Aducate, as students’ notes, comments, and questions in the lecture Centre for Training and Development of University of Ilkka Kukkonen capture system are used as indicators and variables. After Eastern Finland and Ilona IT Oy. University of Eastern Finland Development Background Conducting the Data analysis and begins study study Interpretation Email: ilkka.kukkonen@uef.fi analysis we can deepen our understanding how individuals’ • Project is funded by European Regional Development Fund Experimenting Developing and Lecture capture Synthesis with Phone: +35850 320 7941 learning may be supported by lecture capture and how lecture with various testing the in research learning (ERDF), Aducate, Centre for Training and Development of Website: http://aducate.fi/movie capture can extend the concept of personal learning technologies research framework analytics University of Eastern Finland, IlonaIT Oy and City of framework Twitter: @ilkkakukkonen environment. “Simultaneus Data gathering Benchmarking Savonlinna. Space”-concept Project proposal and analysis Reporting and Networking in Partnering, Reporting and dissemination SIG’s funding dissemination