Engagement theory: Difference between revisions

The educational technology and digital learning wiki
Jump to navigation Jump to search
mNo edit summary
No edit summary
Line 63: Line 63:
Based on the conceptual framework of user engagement,  Ponciano and Brasileiro (2014) designed four engagement metrics to measure participant interaction and involvement with citizen science projects. These engagement metrics could be applied in other contexts where we are interested in user engagement in application with deadlines, such as moocs, online challenges and competitions, etc. Participant engagement over time takes into account their points of engagement, periods of sustained engagement, disengagements and reengagements.
Based on the conceptual framework of user engagement,  Ponciano and Brasileiro (2014) designed four engagement metrics to measure participant interaction and involvement with citizen science projects. These engagement metrics could be applied in other contexts where we are interested in user engagement in application with deadlines, such as moocs, online challenges and competitions, etc. Participant engagement over time takes into account their points of engagement, periods of sustained engagement, disengagements and reengagements.


Figure 1 shows the structure of the time line of a volunteer during participation in a project. This figure shows five concepts
The metrics rely on the time the participant could potentially remain linked to the project, the effective time during which the participant remains linked to the project, the active days through this duration, the time devoted on every active day, and the number of days elapsed between every two consecutive active days.


used in the calculations of our metrics: the time the volunteer could potentially remain linked to the project, days the volunteer
The four measures are:
 
* ''' Activity ratio''': the ratio of the number of active days to the total period of activity
remain linked to the project, the active days, the time devoted on an active day, and the number of days elapsed between
* '''Daily devoted work''': the average activity duration through an active day
 
* '''Relative activity duration''': rhe atio of the total period of activity to the period of possible activity, i.e. the period from the first activity till the end of the project  
two active days.
* '''Variation in activity''': the standard deviation of the idle time between active days 


== References ==
== References ==

Revision as of 10:55, 26 May 2015

Draft

Definition

  • Engagement is a concept that is not restricted to technology-based learning activities. Back in 1988, Meece et al. (1988) set a model for cognitive engagement in the classroom. Engagement from an educational point of view is seen as the learner participation, and interaction with the learning material, learning activities, and the learning community.
  • O’Brien, H.L. & Toms, E.G.( 2008) set a conceptual framework defining user-engagement with technology. The framework explores the experience of users interacting with technology-based systems not limited to educational applications. The work resulted in a definition of engagement and a conceptual model that could be used in various application areas, including technology-based learning or citizen science projects, etc. According to O’Brien, H.L. & Toms, E.G. (2008), "Engagement is a quality of user experiences with technology that is characterized by challenge, aesthetic and sensory appeal, feedback, novelty, interactivity, perceived control and time, awareness, motivation, interest, and affect". The resulting conceptual model of engagement distinguishes 4 possible phases through an engagement process: The user initiates and sustains engagement a task, he disengages, and potentially reengages several times during a single interaction with a system.
  • the Engagement Theory is a framework for technology-based teaching and learning (Kearsley & Schneiderman, 1999). Its fundamental underlying idea is that students must be meaningfully engaged in learning activities through interaction with others and worthwhile tasks. While in principle, such engagement could occur without the use of technology, Kearsley and Schneiderman believe that technology can facilitate engagement in ways which are difficult to achieve otherwise. The general conceptual framework proposed by O'Brien and Toms joins the Engagement Theory on the importance of the self-directed, meaningful involvement with materials or applications based on cognitive challenge and motivation (O'Brien & Toms 2008).

The Engaged Learning model

Engagement theory is based upon the idea of creating successful collaborative teams that work on ambitious projects that are meaningful to someone outside the classroom. These three components, summarized by Relate-Create-Donate, imply that learning activities:

  1. occur in a group context (i.e., collaborative teams)
  2. are project-based
  3. have an outside (authentic) focus
(Kearsley & Schneiderman, 1999).
  • Relate emphasizes team work (communication, management, planning, social skills)
  • Create emphasizes creativity and purpose. Students have to define (or at least identify in terms of a problem domain) and execute a project in context
  • Donate stresses usefulness of the outcome (ideally each project has an outside "customer" that the project is being conducted for).

The Conceptual Framework of User Engagement

This framework deals with the description of what should be recognized as an engaged user experience with technology. This concept goes beyond the usability of a human- computer interaction. Through exploratory research, O'Brien &Toms conclude that engagement is a category of user experience characterized by attributes of challenge, aesthetic and sensory appeal, feedback, novelty, interactivity, perceived control and time, awareness, motivation, interest, and affect.

The framework describe an engagement process of four potential stages. These stages are the point of engagement (engagement is initiated), period of engagement, disengagement, and reengagement. This reengagement phase adds an iterative aspect to engagement where a user can stop the interaction and start again later. In addition the framework revealed that each stage is characterized with distinguishable attributes:


Point of Engagement

Attributes

Period of Engagement

Attributes

Disengagement

Attributes

aesthetic aesthetic & sensory Appeal usability
novelty attention challenge
interest awareness positive affect
motivation control negative affect
specific or experiential goal interactivity perceived time
novelty interruptions
challenge
feedback
interest
Positive affect

The framework also indicates that there are an intrinsic relationship between usability and engagement that needs to be further explored: "Some of the engagement attributes are associated with usability variables of effectiveness, efficiency, and satisfaction. This demonstrates that usability is intricately woven into the experience of engagement; while an application may be usable, it may not be engaging, but engaging applications do appear to have an inherent baseline of usability."

methods to measure engaging user experiences

Based on the conceptual framework of user engagement, Ponciano and Brasileiro (2014) designed four engagement metrics to measure participant interaction and involvement with citizen science projects. These engagement metrics could be applied in other contexts where we are interested in user engagement in application with deadlines, such as moocs, online challenges and competitions, etc. Participant engagement over time takes into account their points of engagement, periods of sustained engagement, disengagements and reengagements.

The metrics rely on the time the participant could potentially remain linked to the project, the effective time during which the participant remains linked to the project, the active days through this duration, the time devoted on every active day, and the number of days elapsed between every two consecutive active days.

The four measures are:

  • Activity ratio: the ratio of the number of active days to the total period of activity
  • Daily devoted work: the average activity duration through an active day
  • Relative activity duration: rhe atio of the total period of activity to the period of possible activity, i.e. the period from the first activity till the end of the project
  • Variation in activity: the standard deviation of the idle time between active days 

References

  • Kearsley, G. & Schneiderman, B. (1999). Engagement theory: A framework for technology-based learning and teaching. Originally at http://home.sprynet.com/~gkearsley/engage.htm. Retrieved 14:42, 11 September 2006 (MEST) from google cache.
  • Kearsley, G. (1997). The Virtual Professor: A Personal Case Study. [1]
  • Meece, J. L, Blumenfeld, P. C, and Hoyle, R. H. (1988). Students’ goal orientations and cognitive engagement in classroom activities. Journal of educational psychology 80, 4 (1988), 514. DOI:http://dx.doi.org/10.1037/0022-0663.80.4.514
  • O’Brien, H. L and Toms, E. G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. Journal of the American Society for Information Science and Technology 59, 6 (2008), 938–955. DOI:http://dx.doi.org/10.1002/asi.20801
  • Ponciano, L. and Brasileiro, F. (2014) Finding Volunteers’ Engagement Profiles in Human Computation for Citizen Science Projects. Journal of Human Computation, 6 (2014),
  • Shneiderman, B. (1994) Education by Engagement and Construction: Can Distance Education be Better than Face-to-Face? [2]
  • Shneiderman, B. (1988), Relate-Create-Donate: An educational philosophy for the cyber-generation. Computers & Education, in press.
  • Shneiderman, B., Alavi, M., Norman, K. & Borkowski, E. (Nov 1995). Windows of opportunity in electronic classrooms, Communications of the ACM, 38(11), 19-24.
  • Miliszewska, Iwona and John Horwood. 2006. Engagement theory: a universal paradigm?. In Proceedings of the 37th SIGCSE technical symposium on Computer science education (SIGCSE '06). ACM, New York, NY, USA, 158-162. DOI=10.1145/1121341.1121392 http://doi.acm.org/10.1145/1121341.1121392