Log in

Technology-Enhanced Formative Assessment of Plant Identification

  • Published:
Journal of Science Education and Technology Aims and scope Submit manuscript

Abstract

Develo** plant identification skills is an important part of the curriculum of any botany course in higher education. Frequent practice with dried and fresh plants is necessary to recognize the diversity of forms, states, and details that a species can present. We have developed a web-based assessment system for mobile devices that is able to pose appropriate questions according to the location of the student. A student’s location can be obtained using the device position or by scanning a QR code attached to a dried plant sheet in a herbarium or to a fresh plant in an arboretum. The assessment questions are complemented with elaborated feedback that, according to the students’ responses, provides indications of possible mistakes and correct answers. Three experiments were designed to measure the effectiveness of the formative assessment using dried and fresh plants. Three questionnaires were used to evaluate the system performance from the students’ perspective. The results clearly indicate that formative assessment is objectively effective compared to traditional methods and that the students’ attitudes towards the system were very positive.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. There are several matrix codes (Kato and Tan 2007). Among them, the QR code is perhaps the most common in mobile applications, because it has an official standard (ISO 2006) and can be used freely. QR code (quick response code) is a trademark of the Japanese company Denso Wave (a Toyota subsidiary). It can encode all types of data. In particular, it can encode a string and hence a URL.

References

  • Anderson LW, Krathwohl DR, Bloom BS (2001) A taxonomy for learning, teaching, and assessing a revision of Bloom’s taxonomy of educational objectives. Longman, New York

    Google Scholar 

  • Biggs JB (2011) Teaching for quality learning at university: what the student does. McGraw-Hill Education, UK

    Google Scholar 

  • Black P, William D (2009) Develo** the theory of formative assessment. Educ Assess Eval Account 21(1):5–31

    Article  Google Scholar 

  • Bloom BS, Krathwohl DR, Masia BB (1956) Taxonomy of educational objectives: the classification of educational goals. D. McKay, New York

    Google Scholar 

  • Buchanan T (2000) The efficacy of a World-Wide Web mediated formative assessment. J Comput Assist Learn 16(3):193–200

    Article  Google Scholar 

  • Conejo R, Guzmán E, Millán E, Trella M, Pérez-De-La-Cruz JL, Ríos A (2004) SIETTE: a web-based tool for adaptive testing. Int J Artif Intell Educ 14(1):29–61

    Google Scholar 

  • Cooper B, Cowie B (2010) Collaborative research for assessment for learning. Teach Teach Educ 26(4):979–986

    Article  Google Scholar 

  • Crowe A, Dirks C, Wenderoth MP (2008) Biology in bloom: implementing Bloom’s taxonomy to enhance student learning in biology. CBE-Life Sci Educ 7(4):368–381

    Article  Google Scholar 

  • Dufresne R, Gerase W (2004) Assessing-to-learn: formative assessment in physics instruction. Phys Teach 42:428–433

    Article  Google Scholar 

  • Fabienne M, van der Kleij M, Eggen TJHM, Timmers CF, Veldkamp BP (2012) Effects of feedback in a computer-based assessment for learning. Comput Educ 58(1):263–272

    Article  Google Scholar 

  • Gardner J, Belland BR (2012) A conceptual framework for organizing active learning experiences in biology instruction. J Sci Educ Technol 21(4):465–475

    Article  Google Scholar 

  • Gikandi JW, Morrow D, Davis NE (2011) Online formative assessment in higher education: a review of the literature. Comput Educ 57(4):2333–2351

    Article  Google Scholar 

  • Guzman E, Conejo R, Perez de la Cruz JL (2007) Improving student performance using self-assessment tests. IEEE Intell Syst 22:46–52

    Article  Google Scholar 

  • Huang H-M (2002) Toward constructivism for adult learners in online environments. Br J Educ Technol 33:27–37

    Article  Google Scholar 

  • Huang HW, Wu CW, Chen NS (2012) The effectiveness of using procedural scaffoldings in a paper-plus-smartphone collaborative learning context. Comput Educ 59:250–259

    Article  Google Scholar 

  • Hwang GJ, Chang HF (2011) A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Comput Educ 56(4):1023–1031

    Article  Google Scholar 

  • ISO (2006) Information technology—automatic identification and data capture techniques—QR Code 2005 bar code symbology specification. Technical Report ISO/IEC 18004:2006 International Organization for Standardization

  • Jordan S (2012) Student engagement with assessment and feedback: some lessons from short-answer free-text e-assessment questions. Comput Educ 58(2):818–834

    Article  Google Scholar 

  • Karpicke JD, Roediger HL III (2008) The critical importance of retrieval for learning. Science 319:966–968

    Article  Google Scholar 

  • Kato H, Tan KT (2007) Pervasive 2D barcodes for camera phone applications. IEEE Pervasive Comput Comput Mob Ubiquitous Syst 6:76–85

    Google Scholar 

  • Kirchoff BK, Delaney PF, Horton M, Dellinger-Johnston R (2014) Optimizing learning of scientific category knowledge in the classroom: the case of plant identification. CBE-Life Sci Educ 13(3):425–436

    Google Scholar 

  • Klionsky DJ (2008) The quiz factor. CBE-Life Sci Educ 7(3):265–266

    Article  Google Scholar 

  • Laine TH, Vinni M, Sedano CI, Joy M (2010) On designing a pervasive mobile learning platform. Res Learn Technol 18(1):3–17

    Article  Google Scholar 

  • Law C, So S (2010) QR codes in education. J Educ Technol Dev Exchange 3:85–100

    Google Scholar 

  • Lee SW-Y, Tsai C-C (2013) Technology-supported learning in secondary and undergraduate biological education: observations from literature review. J Sci Educ Technol 22:226–233

    Article  Google Scholar 

  • Lucke U, Rensing C (2014) A survey on pervasive education. Pervasive Mob Comput 14:3–16

    Article  Google Scholar 

  • McDaniel MA, Anderson JL, Derbish MH, Morisette N (2007) Testing the testing effect in the classroom. Eur J Cogn Psychol 19:494–513

    Article  Google Scholar 

  • Momsen J, Offerdahl E, Kryjevskaia M, Montplaisir L, Anderson E, Grosz N (2013) Using assessments to investigate and compare the nature of learning in undergraduate science courses. CBE-Life Sci Educ 12(2):239–249

    Google Scholar 

  • Ohkawa C (2000) Development of teaching materials for field identification of plants & analysis of their effectiveness in science education. Am Biol Teach 62(2):113–123

    Article  Google Scholar 

  • Ozcelik E, Acarturk C (2011) Reducing the spatial distance between printed and online information sources by means of mobile technology enhances learning: using 2D barcodes. Comput Educ 57:2077–2085

    Article  Google Scholar 

  • Palmer EJ, Devitt PG (2007) Assessment of higher order cognitive skills in undergraduate education: Modified essay or multiple choice questions? Res Pap BMC Med Educ 7(1):49–56

    Article  Google Scholar 

  • Preszler RW, Dawe A, Shuster CB, Shuster M (2007) Assessment of the effects of student response systems on student learning and attitudes over a broad range of biology courses. CBE-Life Sci Educ 6(1):29–41

    Article  Google Scholar 

  • Randler C (2008) Teaching species identification—a prerequisite for learning biodiversity and understanding ecology. Eurasia J Math Sci Technol Educ 4:223–231

    Google Scholar 

  • Romero C, Ventura S, De Bra P (2009) Using mobile and web-based computerized tests to evaluate university students. Comput Appl Eng Educ 17(4):435–447

    Article  Google Scholar 

  • Santos P, Hernández-Leo D, Blat J (2014) To be or not to be in situ outdoors, and other implications for design and implementation, in geolocated mobile learning. Pervasive Mob Comput 14:17–30

    Article  Google Scholar 

  • Scott GW, Goulder R, Wheeler P, Scott LJ, Tobin ML, Marsham S (2012) The value of fieldwork in life and environmental sciences in the context of higher education: a case study in learning about biodiversity. J Sci Educ Technol 21(1):11–21

    Article  Google Scholar 

  • Shute VJ (2008) Focus on formative feedback. Rev Educ Res 78(1):153–189

    Article  Google Scholar 

  • Silva H, Pinho R, Lopes L, Nogueira AJ, Silveira P (2011) Illustrated plant identification keys: an interactive tool to learn botany. Comput Educ 56(4):969–973

    Article  Google Scholar 

  • Stagg BC, Donkin M (2013) Teaching botanical identification to adults: experiences of the UK participatory science project ‘Open Air Laboratories’. J Biol Educ (ahead-of-print) 1–7

  • Stanger-Hall KF (2012) Multiple-choice exams: an obstacle for higher-level thinking in introductory science classes. CBE-Life Sci Educ 11(3):294–306

    Article  Google Scholar 

  • Tractenberg RE, Gushta MM, Mulroney SE, Weissinger PA (2013) Multiple choice questions can be designed or revised to challenge learners’ critical thinking. Adv Health Sci Educ 18(5):945–961

    Article  Google Scholar 

  • Uluyol C, Agca RK (2012) Integrating mobile multimedia into textbooks: 2D barcodes. Comput Educ 59:1192–1198

    Article  Google Scholar 

  • Uno GE (2009) Botanical literacy: What and how should students learn about plants? Am J Bot 96(10):1753–1759

    Article  Google Scholar 

  • Zoller U (2001) Alternative assessment as (critical) means of facilitating HOCS-promoting teaching and learning in chemistry education. Chem Educ Res Pract Eur 2(1):9–17

    Article  Google Scholar 

  • Zoller U, Tsaparlis G (1997) Higher and lower-order cognitive skills: the case of chemistry. Res Sci Educ 27(1):117–130

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ricardo Conejo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Conejo, R., Garcia-Viñas, J.I., Gastón, A. et al. Technology-Enhanced Formative Assessment of Plant Identification. J Sci Educ Technol 25, 203–221 (2016). https://doi.org/10.1007/s10956-015-9586-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10956-015-9586-0

Keywords

Navigation