Abstract

Bioscientists such as geneticists and molecular biologists regularly demonstrate the integration of domain concepts and science inquiry practices/skills while explaining a natural phenomenon. The complexity of these concepts and skills becomes manifold at the tertiary undergraduate level and are known to be challenging for learners. They learn these in silos as part of theory classes, practical labs, and tutorial sessions while in an industry, they will be required to integrate and apply in a given authentic context. To support learners in this process, we have designed and developed Geneticus Investigatio (GI), a technology-enhanced learning (TEL) environment for scaffolding complex learning in the context of Mendelian genetics. GI facilitates this complex learning by the integration of domain concepts and science inquiry practices through inquiry-driven reflective learning experiences, which are interspersed with inquiry-based learning steps in an authentic context along with metacognitive reflection. In this paper, we present two cycles of iterative design, development, and evaluation of GI, based on the design-based research (DBR) approach. In the first DBR cycle, we identified the pedagogical design features and learning activities of GI based on an exploratory study with bio-science instructors for facilitating complex learning. We then report a pre-post classroom study (N = 37) in which we investigated the learning and perceptions of usability and usefulness of GI. The results indicate high learning gains after interacting with GI and learner perceptions that activities in GI help learn concepts and inquiry practices along with its integration. It is followed by the identification of interaction and other difficulties by the learner, which were triangulated with different data sources. It provided insights into the pedagogical and design changes required in GI. The revised version of GI was evaluated with a quasi-experimental classroom study (N = 121). The results indicate that the drawbacks of the previous version of GI were addressed. The main contributions of this research are a pedagogical design for facilitating complex learning and its implementation in the form of GI TEL environment.

Highlights

  • Bioscientists regularly evaluate the effect of a phenomenon across biological levels and understand the inheritance patterns, study structure, function, and growth of living organisms and others (Hoskinson et al 2013)

  • We present a pedagogical design for facilitating complex learning in the context of genetics, which is a compulsory foundational course for undergraduate bioscience learners, and its implementation in the Geneticus Investigatio (GI)-technology-enhanced learning (TEL) environment through two design-based research cycles (McKenney & Reeves, 2014)

  • Thematic analysis of the responses to openended questions on usefulness and usability of GI showed that participants found the interactive video, question prompts for reflection, drag and drop learning activity, and understanding of domain as useful features, and that GI was valuable in learning hypothesis testing and revision, and learning of genetics concepts (Table 3)

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Summary

Introduction

Bioscientists regularly evaluate the effect of a phenomenon across biological levels and understand the inheritance patterns, study structure, function, and growth of living organisms and others (Hoskinson et al 2013). Topics like patterns of inheritance may be explained based on Mendelian or deviation from Mendelian inheritance and encompass a variety of concepts related to the breeding context of plants and animals It involves relations between the events of different levels of biological organisation hierarchy from molecular to sub-cellular to organismic level. An example of such a problem in Mendelian genetics is as follows ‘A plant geneticist has two pure lines, one with purple petals and one with blue. To solve such a problem, a scientist requires an understanding of basic concepts of genetics, knowledge of statistical tests, science inquiry practices of hypothesis testing, and revision To solve such problem, one has to understand, apply, and integrate these by performing complex cognitive processes which are known as complex learning. Learners perform the cognitive process of metacognition and transfer of learning where they reflect on planning and solving similar problems

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