Abstract

This paper describes a new approach to an ecology practical in which 76 Level 4 students were divided into four groups (n = 20 +/-2) to collect data. Each group studied a different habitat and was further divided into seven subgroups (n = 2 or 3) to collect field data. Each of the four groups collaborated through Google Drive on descriptions and images of the habitat site, and also collaborated at the subgroup level on their own habitat data. The four groups then shared habitat descriptions with the aim to provide enough information to enable everyone to understand the entire data set. The three-stage assignment was assessed and feedback issued at group and individual level via the University’s online submission service (FASER), with some additional feedback given via Moodle, the University’s Virtual Learning Environment. Two separate submissions were made to FASER, the first was the group and subgroup work (stage 1), and the second included the peer assessment task (stage 2) and the individual evaluation of the habitats (stage 3). Feedback was given after the second submission had been uploaded to FASER and again when the assessment for the second submission was complete. The group and subgroup data sets were provided to all students via Moodle, so that individuals could carry out their own analysis of all four habitats. The use of Google Drive and Google Apps helped to improve the digital literacy of the staff and students involved. All three stages of the assignment were successful; over 85% of students passed the first two stages, and 82.9% passed stage 3. The collaborative work enabled students to produce high quality descriptive ecology documents valuable for the subsequent stages of the assignment. The peer assessment encouraged students to gain information on expected Undergraduate Minimum Standards, and gave students the opportunity to study multiple habitats. The final stage was open ended and challenged students to make sense of large ecological data sets. There was a positive correlation between levels of success at stages 1 and 3 for students who achieved less than 65% for the independent work, i.e. they benefited from carrying out group work. This collaborative, three-stage approach is recommended especially as it helps lower ability students gain subject knowledge and improve their presentation skills. However, some modifications are recommended: 1) simplifying the sample and data collection, and 2) providing more guidance for the peer assessment task and individual analysis. Learner autonomy enabled self-directed learning to take place and enriched large scale teaching as it encouraged student-student interaction. Significant differences between gender and ability are discussed.

Highlights

  • This article is aimed at university lecturers and outlines a method that enables students to enhance their knowledge and understanding of ecology by working in the field, in the lab, and online as members of a small group

  • The rationale for trying new methods came from a Society for Experimental Biology (SEB) “Researchers – Teachers – Learners” conference (2012)

  • Other influences included the concept of learner autonomy to encourage student engagement (Scott, 2012), Voelkel’s work (2012) on staged assignment to engage students, and the use of technology to promote student engagement and selfdirected learning (Mello, 2012)

Read more

Summary

Introduction

This article is aimed at university lecturers and outlines a method that enables students to enhance their knowledge and understanding of ecology by working in the field, in the lab, and online as members of a small group. The method makes use of free online tools—provided by Google—to facilitate collaborative activities that can be monitored by a lecturer; these activities aim to increase the digital literacy of both the staff and students involved. This report demonstrates that an academic with limited technological ability, but with an open mind and a small amount of support from a learning technologist, can create and manage an online assignment method that enables students to collaborate within a framework that is both defined and monitored. The approach was developed as part of a process to enrich large-scale teaching (Biggs, 2003) and to encourage student-student interaction, as well as student-led group work to enhance cognitive understanding

Objectives
Methods
Results
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.