Skip to main content

Designing for Context-Aware and Contextualized Learning

Part of the Bridging Human and Machine: Future Education with Intelligence book series (BHMFEI)

Abstract

Contextualized and context-aware learning refer to active and passive approaches of utilizing contexts in educational designs. Both are at the core of many mobile learning solutions. For scaling mobile learning in educational institutions, it is important to understand that mobile learning is neither an independent nor a stand-alone educational approach, but part of a rich repertoire of tools and practices that shape complex learning processes and are embedded in increasingly smart environments. Moreover, mobile learning combines solutions for a range of different educational interventions. Educators have to choose and integrate each solution into their educational concepts in order to utilize the ubiquitously available technologies for leveraging on the learners’ contexts. This requires a better conceptual understanding on the role and function of context in educational design. Seamless learning addresses this understanding by generalizing contextual influences on learning processes beyond mobile learning, which is lacking in conventional educational design models. However, seamless learning is not an educational design model that educators can use directly for deducing design principles. Seamless learning is rather a concept that best understood in relation to integrated approaches of context-awareness and contextualization that contrast of existing educational design models. Because much research on mobile learning focuses on the active role of contexts, the question comes into mind, whether context is always an explicit design element? This chapter addresses this question in two parts. First, by operationalizing the concept of seamless learning for planning and orchestrating contextual and context-aware mobile learning. Secondly by analyzing potential contextual affordances of a mobile app with minimized contextual dependencies.

Keywords

  • Activity theory
  • Blended learning
  • Context
  • Contextualization
  • Context-awareness
  • Educational design
  • Learning design
  • Mobile learning
  • Mobile apps
  • Seamless learning

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Anderson, L. A., et al. (2001). A taxonomy for learning, teaching, and assessing; a revision of Bloom’s taxonomy of educational objectives. New York et al.: Longman.

    Google Scholar 

  • Bloom, B. S., et al. (Eds.). (1956). Taxonomy of educational objectives, handbook 1: Cognitive domain. New York: Longman.

    Google Scholar 

  • Churchill, D., Fox, B., & King, M. (2016). Framework for designing mobile learning environments. In D. Churchill, J. Lu, T. K. F. Chiu, & B. Fox (Eds.), Mobile learning design, theories and application. Singapore et al: Springer.

    CrossRef  Google Scholar 

  • Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5(1), 4–7.

    CrossRef  Google Scholar 

  • Dillenbourg, P. (2015). Orchestration graphs: Modeling scalable education. Lausanne: EPFL Press.

    Google Scholar 

  • Engeström, Y. (2015). Learning by expanding: An activity-theoretical approach to developmental research (2nd ed.). New York: Cambridge University Press.

    Google Scholar 

  • Evers, K. (2018). Breaking barriers with building blocks: Attitudes towards learning technologies and curriculum design in the ABC curriculum design workshop. ERUDITIO, 2(4), 70–85.

    Google Scholar 

  • Gagné, R. M., Wager, W. W., Golas, K., & Keller, J. M. (2004). Principles of instructional design (5th ed.). Orlando: Cengage Learning.

    Google Scholar 

  • Garrison, D. R., & Vaughan, N. D. (2008). Blended learning in higher education: Frameworks, principles, and guidelines. San Francisco: Jossey-Bass.

    Google Scholar 

  • Gassler, G., Hug, T., & Glahn, C. (2004). Integrated micro learning; an outline of the basic method and first results. Interactive Computer Aided Learning, 4, 1–7.

    Google Scholar 

  • Glahn, C. (2009). Contextual support of social engagement and reflection on the web. Heerlen: Open University in The Netherlands.

    Google Scholar 

  • Glahn, C. (2013, September, 25–27). Using the ADL Experience API for mobile learning; sensing, informing, encouraging, orchestrating. In: Proceedings of the 7th International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST). Prague, Czech Republic.

    Google Scholar 

  • Glahn, C. (2014). Mobile learning operating systems. In M. Ally & A. Tsinakos (Eds.), Mobile learning development for flexible learning. Vancouver, Canada: Commonwealth of Learning Press.

    Google Scholar 

  • Glahn, C., Gassler, G., & Hug, T. (2004, June, 21–26). Integrated learning with micro activities during access delays. Proceedings of the AACE ED-MEDIA 2004 (Vol. 5, pp. 3873–3876). Lugano, Switzerland.

    Google Scholar 

  • Glahn, C., Gruber, M. R., & Tartakovski, O. (2015). Beyond delivery modes and apps: A case study on mobile blended learning in higher education. In G. Conole, T. Klobučar, C. Rensing, J. Konert, & É. Lavoué (Eds.), Design for teaching and learning in a networked world (pp. 127–140). Heidelberg et al.: Springer.

    CrossRef  Google Scholar 

  • Hwang, G.-J., Lai, C.-L., & Wang, S. Y. (2015). Seamless flipped learning: A mobile technology enhanced flipped classroom with effective learning strategies. Journal of Computers in Education, 2(4), 449–473.

    CrossRef  Google Scholar 

  • Koper, R. (2003). Combining re-usable learning resources and services to pedagogical purposeful units of learning. In A. Littlejohn (Ed.), Reusing online resources: A sustainable approach to elearning (pp. 46–59). London: Kogan Page.

    Google Scholar 

  • Koper, R., Olivier, B., & Anderson, T. (Eds.). (2003). IMS learning design information model. IMS Global Learning Consortium. Retrieved March 30, 2019, from https://www.imsglobal.org/-learningdesign/-ldv1p0/-imsld-_info-v1p0-.html.

  • Kuh, G. D., Douglas, K. B., Lund, J. P., & Ramin Gyurmek, J. (1994). Student learning outside the classroom; transcending artificial boundaries (ASHE-ERIC Higher Education Report No. 8). Washington, DC: The George Washington University; School of Education and Development.

    Google Scholar 

  • Lage, M. J., Platt, G. J., & Treglia, M. (2000). Inverting the classroom: A gateway to creating an inclusive learning environment. Journal of Economic Education, 31(1), 30–43.

    CrossRef  Google Scholar 

  • Laurillard, D. (2012). Teaching as a design science, building pedagogical patterns for learning and technology. Abingdon: Routledge.

    Google Scholar 

  • Lave, J., & Wenger, E. (1991). Situated learning; legitimate peripheral participation. Cambridge: Cambridge University Press.

    CrossRef  Google Scholar 

  • Lave, J. (1993). The practice of learning. In S. Chaikin & J. Lave (Eds.), Understanding practice, perspectives on activity and context (pp. 3–33). Cambridge: Cambridge University Press.

    CrossRef  Google Scholar 

  • Lave, J. (2009). The practice of learning. In K. Illeris (Ed.), Contemporary theories of learning; learning theorists in their own words (pp. 200–208). London & New York: Routledge.

    Google Scholar 

  • Luckin, R. (2010). Re-designing learning contexts: Technology-rich, learner-centred ecologies. Oxon, UK and New York: Routledge.

    CrossRef  Google Scholar 

  • Melton, A. W. (1970). The situation with respect to the spacing of repetitions and memory. Journal of Verbal Learning and Verbal Behavior, 9, 596–606.

    CrossRef  Google Scholar 

  • van Merriënboer, J. J. G., & Kirschner, P. A. (2013). Ten steps to complex learning: A systematic approach to four-component Instructional Design (2nd ed.). New York: Routledge.

    Google Scholar 

  • Prensky, M. (2001). Digital natives, digital immigrants. On The Horizon, 9(5). Retrieved March 30, 2019, from http://www.marcprensky.com/writing/Prensky%20-%20Digital%20Natives,%20-Digital%20-Immigrants%20-%20Part1.pdf.

  • Reigeluth, C. M. (1983). Instructional design: What is it and why is it? In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status (pp. 3–36). New York: LEA.

    Google Scholar 

  • Reigeluth, C. M., & Carr-Chellman, A. A. (2009). Situational principles of instruction. In C. Reigeluth & A. A. Carr-Chellman (Eds.), Instructional-design theories and models: Building a common knowledge base (Vol. III, pp. 57–72). New York: Routledge.

    CrossRef  Google Scholar 

  • Reigeluth, C. M., & Keller, J. B. (2009). Understanding instruction. In C. Reigeluth & A. A. Carr-Chellman (Eds.), Instructional-design theories and models: Building a common knowledge base (Vol. III, pp. 27–40). New York: Routledge.

    CrossRef  Google Scholar 

  • Romiszovski, A. J. (1981). Designing instructional systems, decision making in course planning and curriculum design. London: RoutledgeFalmer.

    Google Scholar 

  • Rovai, A. P., & Jordan, H. M. (2004). Blended learning and sense of community: A comparative analysis with traditional and fully online graduate courses. International Review of Research in Open and Distributed Learning, 5(2).

    Google Scholar 

  • Sharples M., Arnedillo-Sánchez, I., Milrad, M., & Vavoula, G. (2009). Mobile learning. Small devices, big issues. In N. Balacheff, S. Ludvigsen, T. de Jong, A. Lazonder, & S. Barnes (Eds.), Technology-enhanced learning. Dordrecht: Springer.

    Google Scholar 

  • Skinner, B. F. (1958). Teaching machines. From the experimental study of learning come devices which arrange optimal conditions for self-instruction. Science, 128(3330), 969–977.

    Google Scholar 

  • So, H. J., Tan, E., Wei, Y., & Zhang, X. J. (2015). What makes the design of mobile learning trails effective: A retrospective analysis (pp. 335–352). In L. S. Wong., M. Milard., & M. Specht (Eds.), Seamless learning in the age of mobile connectivity (pp. 335–352). Singapore: Springer.

    Google Scholar 

  • Specht, M. (2009). Learning in a technology enhanced world: Context in ubiquitous learning support. Inaugural Address. September 11, 2009. Heerlen, The Netherlands: Open University in The Netherlands.

    Google Scholar 

  • Specht, M. (2015). Connecting learning contexts with ambient information channels. In L.-H. Wong, M. Milrad, & M. Specht (Eds.), Seamless learning in the age of mobile connectivity (pp. 121–140). Singapore et al.: Springer.

    Google Scholar 

  • Traxler, J. (2007). Defining, discussing and evaluating mobile learning: The moving finger writes and having writ…. The International Review of Research in Open and Distributed Learning, 8(2).

    Google Scholar 

  • Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge, New York: Cambridge University Press.

    CrossRef  Google Scholar 

  • Wenger, E., White, N., & Smith, J. D. (2014). Digital habitats: Stewarding technology for communities. Portland: CPsquare.

    Google Scholar 

  • Wenger, E., White, N., Smith, J. D., & Rowe, K. (2005). Technology for communities. In Guide de mise en place et d’animation de communautés de pratique intentionelle. Québec: CEFRIO.

    Google Scholar 

  • Wong, L.-H. (2015). A brief history of mobile seamless learning. In L.-H. Wong, M. Milrad, & M. Specht (Eds.), Seamless learning in the age of mobile connectivity (pp. 3–40). Singapore: Springer Singapore.

    Google Scholar 

  • Wong, L.-H., & Looi, C.-K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers & Education, 57(4), 2364–2381.

    CrossRef  Google Scholar 

  • Young, C., & Perovic, N. (2016). Rapid and creative course design: As easy as ABC? Procedia—Social and Behavioral Sciences, 228, 390–395.

    Google Scholar 

  • Zimmermann, A., Lorenz, A., & Oppermann, R. (2007). An operational definition of context. Modeling and Using Context, 558–571.

    Google Scholar 

  • Zimmermann, A., Specht, M., & Lorenz, A. (2005). Personalization and context management. User Modeling and User-Adapted Interaction, 15(3), 275–302.

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christian Glahn .

Editor information

Editors and Affiliations

Glossary

Affordance

The quality or property of objects or tools that define their possible uses or makes clear how they can or should be used.

Assessment

Any form of comparison of performances with benchmarks or objectives.

Blended learning

All forms of combining different technology-enhanced learning approaches with each other and with conventional educational practices and interventions.

Context-awareness

The use of context to provide task-relevant information and services. In education, context-awareness refers to explicit use of context or contextual factors for creating and moderating learning experiences.

Contextual affordance

Properties of objects or tools that bind usages to contexts. These properties are connected to contextual dimensions.

Contextual requirements

The contextual preconditions that are necessary for learners to perform learning activities or to make learning experiences.

Contextualization

The use of context to change information and services. In education, contextualization refers to the use of context for selecting learning activities as well as for changing the conditions of one or more learning activities.

Device sensors

The sensor-network built into digital devices, such as microphone, camera, gyroscope, or compass.

Digital natives

Generations who only experienced a world with ubiquitous presence of digital technologies in daily life.

Educational design

Planning and arrangement of learning activities into educational processes that include the assessment of learning objectives. It complements learning design that focuses on the design of learning tasks and instructional design that primarily addresses the design of learning resources.

Learning activity

Educational tasks including necessary resources, environment, intended performances, expected outcomes, as well as relevant feedback. Learning activities typically consider a learner role and a facilitator role but can also address multiple roles in different social interactions. Learning activities abstract beyond individual performances and refer to planned educational interventions.

Learning environment

The setting of one or more learning activities. Learning environments provide learning resources that are needed to perform a learning activity. Moreover, learning environments determine the context of learning activities. A learning environment can bind a learning activity in terms of the activity’s framing as well as it can be part of an activity in terms of structured resources.

Learning experience

The sensory and emotional impressions of learners when performing a learning activity or being exposed to a learning environment.

Micro-learning

Educational design patterns that utilize atomic learning activities as fundamental building blocks. Learning activities consist of a task, performance assessment, and performance feedback, learning activities are atomic, if they cannot get further separated into sub-activities with this structure intact.

Perceived learning behavior

The learners’ self-reported perception of their own learning and/or of their personal engagement in learning activities.

Seamless learning

Seamless learning happens when persons or groups experience a continuity of learning, and consciously bridge the multifaceted learning efforts across a combination of locations, times, technologies, or social settings. In educational design, seamless learning refers to approaches that create continuous learning experiences that leverage the diverse contexts of learners to shape learning experiences. Mobile seamless learning refers to applications of mobile technologies such as smartphones to facilitate learning in context and/or to bridge between contexts.

Technology-enhanced learning

Combines all approaches and applications, in which digital technologies are used for supporting education and learning processes. This includes but is not limited to e-learning, online learning, and MOOCs, mobile learning, game-based learning, simulations, gamification, educational approaches to augmented and mixed reality, virtual and remote labs, as well as virtual worlds.

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Glahn, C., Gruber, M.R. (2020). Designing for Context-Aware and Contextualized Learning. In: Yu, S., Ally, M., Tsinakos, A. (eds) Emerging Technologies and Pedagogies in the Curriculum. Bridging Human and Machine: Future Education with Intelligence. Springer, Singapore. https://doi.org/10.1007/978-981-15-0618-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0618-5_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0617-8

  • Online ISBN: 978-981-15-0618-5

  • eBook Packages: EducationEducation (R0)