Skip to main content

Assessment of Engagement: Using Microlevel Student Engagement as a Form of Continuous Assessment

  • Conference paper
  • First Online:
Technology Enhanced Assessment (TEA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 829))

Included in the following conference series:

  • 628 Accesses

Abstract

Student assessment is a challenging topic where methods are still being developed to embed active learning, deeper understanding, fairness and appropriateness to the learning process. As a candidate assessment factor, student engagement is a known contributor to student success, although the lack of student engagement and success, particularly in online environments are both challenging and ongoing issues. Student engagement is typically measured in retrospective data collection to understand how engagement has affected student learning. However in online learning environments we have access to data in a timely manner from resource access to assessment tasks, where they can be captured seamlessly and used in analytics to understand student behaviours and learning patterns. By combining a microlevel student engagement measurement we have implemented, with the goal of assessing engagement, we present initial results in this paper from a study we have carried out at Universitat Oberta de Catalunya in Spain, which shows promise in student engagement measurement as a form of continuous assessment. By measuring microlevel engagement, we have observed we can collect a variety of missing subjective dataset to complement the system-level data, and it can also be an opportunity for students to reflect on their own engagement as well as have a method to record their microlevel state. In several courses teachers rewarded points based on engagement, leading to continued engagement of students and a stream of actionable information to understand where students have challenges of engagement in their learning and revision of course content.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Allen, I.E., Seaman, J.: Grade Level: Tracking Online Education in the United States. Babson Survey Research Group and Quahog Research Group, LLC. (2015). http://www.onlinelearningsurvey.com/reports/gradelevel.pdf

  • Appleton, J.J., Christenson, S.L., Kim, D., Reschly, A.L.: Measuring cognitive and psychological engagement: validation of the student engagement instrument. J. Sch. Psychol. 44(5), 427–445 (2006)

    Article  Google Scholar 

  • Ash, S.L., Clayton, P.H.: The articulated learning: an approach to guided reflection and assessment. Innov. High. Educ. 29(2), 137–154 (2004)

    Article  Google Scholar 

  • Balasooriya, I., Mor, E., Rodríguez, M.E.: Extending learning analytics with microlevel student engagement data. In: Proceedings of EduLearn 2017 (2017)

    Google Scholar 

  • Bonk, C.J., Kim, K.J.: The future of online teaching and learning in higher education: the survey says. EDUCAUSE Q. Mag. 29(4), 22–30 (2006)

    Google Scholar 

  • Braunsberger, K., McCuiston, V., Patterson, G., Watkins, A.: Perceived risks and psychological well-being in online education: implications for grade expectations and future enrollment. In: Groza, M., Ragland, C. (eds.) Marketing Challenges in a Turbulent Business Environment. Developments in Marketing Science: Proceedings of the Academy of Marketing Science, pp. 487–488. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-19428-8_123

    Chapter  Google Scholar 

  • Burkett, E.: Another Planet: A Year in the Life of a Suburban High School. Harper Collins, New York (2002)

    Google Scholar 

  • Carini, R.M., Kuh, G.D., Klein, S.P.: Student engagement and student learning: testing the linkages. Res. High. Educ. 47(1), 1–32 (2006)

    Article  Google Scholar 

  • Carr, S.: As distance education comes of age, the challenge is keeping the students. In: Chronicle of Higher Education, Information Technology Section (2000). http://chronicle.com/free/v46/i23/23a00101.htm

  • Cavanaugh, J., Jacquemin, S.J.: A large sample comparison of grade based student learning outcomes in online vs. face-to-face courses. In: Online Learning, vol. 19, no. 2 (2015)

    Google Scholar 

  • Coates, H.: The value of student engagement for higher education quality assurance. Qual. High. Educ. 11(1), 25–36 (2005)

    Article  Google Scholar 

  • Connell, J., Wellborn, J.G.: Competence, autonomy, and relatedness: a motivational analysis of self-system process. In: Gunnar, M.R., Sroufe, L.A. (eds.) Self Process in Development: Minnesota Symposium on Child Psychology, vol. 2, pp. 167–216. Lawrence Erlbaum, Hillsdale (1991)

    Google Scholar 

  • Cowie, B., Bell, B.: A model of formative assessment in science education. Assess. Educ.: Principles Policy Pract. 6(1), 101–116 (1999)

    Article  Google Scholar 

  • Crisp, G.: Teacher’s Handbook on e-Assessment. Transforming Assessment-An ALTC Fellowship Activity, vol. 18 (2011)

    Google Scholar 

  • Fairweather, J.: Linking evidence and promising practices in science, technology, engineering, and mathematics (STEM) undergraduate education. Board of Science Education, National Research Council, The National Academies, Washington, DC. (2008)

    Google Scholar 

  • Fredricks, J.A., Blumenfeld, P.C., Paris, A.H.: School engagement: potential of the concept, state of the evidence. Rev. Educ. Res. 74(1), 59–109 (2004)

    Article  Google Scholar 

  • Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., Wenderoth, M.P.: Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111(23), 8410–8415 (2014)

    Article  Google Scholar 

  • Fredricks, J.A., McColskey, W.: The measurement of student engagement: a comparative analysis of various methods and student self-report instruments. In: Christenson, S., Reschly, A., Wylie, C. (eds.) Handbook of Research on Student Engagement, pp. 763–782. Springer, Boston (2012). https://doi.org/10.1007/978-1-4614-2018-7_37

    Chapter  Google Scholar 

  • Gibbs, G., Simpson, C.: Conditions under which assessment supports students’ learning. Learn. Teach. High. Educ. 1(1), 3–31 (2004)

    Google Scholar 

  • Goetz, T., Bieg, M., Lüdtke, O., Pekrun, R., Hall, N.C.: Do girls really experience more anxiety in mathematics? Psychol. Sci. 24(10), 2079–2087 (2013)

    Article  Google Scholar 

  • Gogol, K., et al.: “My questionnaire is too long!” the assessments of motivational-affective constructs with three-item and single-item measures. Contemp. Educ. Psychol. 39(3), 188–205 (2014)

    Article  Google Scholar 

  • Hettiarachchi, E., Balasooriya, I., Mor, E., Huertas, M.A.: E-assessment for skill acquisition in online engineering education: challenges and opportunities. In: Caballé, S., Clarisó, R. (eds.) Formative Assessment, Learning Data Analytics and Gamification in ICT Education, pp. 49–64 (2016)

    Google Scholar 

  • Keeves, J.P.: Methods of assessment in schools. In: International Encyclopedia of Education, pp. 362–370 (1994)

    Google Scholar 

  • Ladd, G.W., Dinella, L.M.: Continuity and change in early school engagement: predictive of children’s achievement trajectories from first to eighth grade? J. Educ. Psychol. 101(1), 190–206 (2009)

    Article  Google Scholar 

  • Ni, A.Y.: Comparing the effectiveness of classroom and online learning: teaching research methods. J. Public Affairs Educ. 19(2), 199–215 (2013)

    Article  MathSciNet  Google Scholar 

  • Nicol, D.J., Macfarlane-Dick, D.: Formative assessment and self-regulated learning: a model and seven principles of good feedback practice. Stud. High. Educ. 31(2), 199–218 (2006)

    Article  Google Scholar 

  • Pope, D.: Doing school: how we are creating a generation of stressed-out, materialistic, and miseducated students. Yale University Press, New Haven (2002)

    Google Scholar 

  • Rogers, R.: Reflection in higher education: a concept analysis. Innov. High. Educ. 26, 37–57 (2001)

    Article  Google Scholar 

  • Shernoff, D.J., Schmidt, J.A.: Further evidence of an engagement–achievement paradox among US high school students. J. Youth Adolesc. 37(5), 564–580 (2008)

    Article  Google Scholar 

  • Shum, S.B., Crick, R.D.: Learning dispositions and transferable competencies: pedagogy, modelling and learning analytics. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, pp. 92–101. ACM (2012)

    Google Scholar 

  • Skinner, E.A., Kindermann, T.A., Connell, J.P., Wellborn, J.G.: Engagement and disaffection as organizational constructs in the dynamics of motivational development. In: Handbook of Motivation at School, pp. 223–245 (2009)

    Google Scholar 

  • Smith, D., Hardaker, G.: e-Learning innovation through the implementation of an internet supported learning environment. Educ. Technol. Soc. 3, 1–16 (2000)

    Google Scholar 

  • Susman, G.I., Evered, R.D.: An assessment of the scientific merits of action research. Adm. Sci. Q. 582–603 (1978)

    Google Scholar 

  • Welch, M.: The ABCs of reflection: a template for students and instructors to implement written reflection in service-learning. NSEE Q. 25, 22–25 (1999)

    Google Scholar 

Download references

Acknowledgments

This work has been funded by the project Open Data for All: an API-based infrastructure for exploiting online data sources given by the Spanish Ministerio de Economía, Industria y Competitividad (ref. TIN2016-75944-R) and a doctoral grant from the Universitat Oberta de Catalunya (UOC).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Isuru Balasooriya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Balasooriya, I., Rodríguez, M.E., Mor, E. (2018). Assessment of Engagement: Using Microlevel Student Engagement as a Form of Continuous Assessment. In: Ras, E., Guerrero Roldán, A. (eds) Technology Enhanced Assessment. TEA 2017. Communications in Computer and Information Science, vol 829. Springer, Cham. https://doi.org/10.1007/978-3-319-97807-9_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-97807-9_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97806-2

  • Online ISBN: 978-3-319-97807-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics