Fostering Enduring Peer Learning Groups for 1st Year Students

Paper

Brown, Jason, Kennedy, Joel, Raj, Nawin and Quinton, Matthew. 2023. "Fostering Enduring Peer Learning Groups for 1st Year Students." 34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023). Gold Coast, Australia 03 - 06 Dec 2023 Australia. Australasian Association for Engineering Education.
Paper/Presentation Title

Fostering Enduring Peer Learning Groups for 1st Year Students

Presentation TypePaper
AuthorsBrown, Jason, Kennedy, Joel, Raj, Nawin and Quinton, Matthew
Journal or Proceedings TitleProceedings of the 34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023)
Number of Pages8
Year2023
PublisherAustralasian Association for Engineering Education
Place of PublicationAustralia
Web Address (URL) of Paperhttps://www.aaee2023.org/fullpapers/AAEE_2023_final_paper_5.pdf
Conference/Event34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023)
Event Details
34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023)
Parent
Annual Conference of the Australasian Association for Engineering Education (AAEE)
Delivery
In person
Event Date
03 to end of 06 Dec 2023
Event Location
Gold Coast, Australia
Event Venue
Sea World Resort Conference Centre
Event Web Address (URL)
Abstract

CONTEXT
The University of Southern Queensland (UniSQ) has a high proportion of students learning in physical isolation from their peers through digital platforms. This physical isolation has impeded the peer network development which often occurs organically in traditional classroom and on-campus environments. Tertiary students have reported higher rates of social isolation and have expressed a desire for social connection (Lemay, Bazelais, & Doleck, 2021). There is a clear need for high quality online learning experiences that harness the affective and socially constructive benefits of collaborative learning (Altinay, 2017).
PURPOSE OR GOAL
This study aims to increase student retention through strategic assessment design that fosters the formation of enduring virtual study groups among peers who may be located in different areas. It is hypothesised that students who are exposed to collaborative peer experiences in their first year of study, and independently continue working in peer groups feel a greater sense of belonging to their fellow students and the university. Hence, these students are less likely to drop out of tertiary study. The secondary aim is to clearly delineate the difference between collaboration and collusion for students working in these peer groups through strategic assessment design.
APPROACH OR METHODOLOGY/METHODS
A component of each assessment in first year courses will be dedicated to students constructively learning from each other in peer learning networks. This is different from standard group work because the aim is to equip students with the skills to undertake individual assignments via social learning. Students will also be asked to voluntarily complete surveys at the start and end of the semester, and then six months after the end of the semester. Three surveys are used to assess any systematic change to a student’s sense of belonging, and the success of forming enduring peer study groups.
ACTUAL OR ANTICIPATED OUTCOMES
Survey data for two first-year engineering courses corresponding to the start and end of semester surveys has been analysed thus far. Although the number of students represented in these surveys is relatively small, the metrics related to a sense of student belonging have shown some improvement from the start to end of semester in these courses.
CONCLUSIONS/RECOMMENDATIONS/SUMMARY
The initial results and analysis show some positive (if tentative) findings. The study is currently being run in two more first year engineering courses, after which we will have sufficient survey data to make more definitive conclusions and recommendations.

KeywordsPeer learning, assessment, belonging, retention
ANZSRC Field of Research 2020390113. Science, technology and engineering curriculum and pedagogy
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Byline AffiliationsUniversity of Southern Queensland
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Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158
Blocking analysis of persistent resource allocations for M2M applications in wireless systems
Brown, Jason, Afrin, Nusrat and Khan, Jamil. 2016. "Blocking analysis of persistent resource allocations for M2M applications in wireless systems ." Transactions on Emerging Telecommunications Technologies. 27 (11), pp. 1513-1529. https://doi.org/10.1002/ett.3091
ICT skill frameworks: do they achieve their goals and users’ expectations?
Brown, Jason and Parr, Alan. 2018. "ICT skill frameworks: do they achieve their goals and users’ expectations?" Advanced Journal of Professional Practice. 1 (2), pp. 38-47.
Predictive resource allocation in the LTE uplink for event based M2M applications
Brown, Jason and Khan, Jamil. 2013. "Predictive resource allocation in the LTE uplink for event based M2M applications." Kim, Dong-In and Mueller, Peter (ed.) IEEE International Conference on Communications (ICC 2013): Bridging the Broadband Divide. Budapest, Hungary 09 - 13 Jun 2013 Piscataway, NJ. United States. https://doi.org/10.1109/ICCW.2013.6649208
Key performance aspects of an LTE FDD based Smart Grid communications network
Brown, Jason and Khan, Jamil. 2013. "Key performance aspects of an LTE FDD based Smart Grid communications network." Computer Communications. 36 (5), pp. 551-561. https://doi.org/10.1016/j.comcom.2012.12.007
Delay models for static and adaptive persistent resource allocations in wireless systems
Brown, Jason, Afrin, Nusrat and Khan, Jamil Y.. 2016. "Delay models for static and adaptive persistent resource allocations in wireless systems." IEEE Transactions on Mobile Computing. 15 (9), pp. 2193-2205. https://doi.org/10.1109/TMC.2015.2492546
A predictive resource allocation algorithm in the LTE uplink for event based M2M applications
Brown, Jason and Khan, Jamil. 2015. "A predictive resource allocation algorithm in the LTE uplink for event based M2M applications." IEEE Transactions on Mobile Computing. 14 (12), pp. 2433-2446. https://doi.org/10.1109/TMC.2015.2398447
Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003
Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation
Obregon, Maria, Raj, Nawin and Stepanyants, Yury. 2018. "Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation." Chaos: an interdisciplinary journal of nonlinear science. 28 (3), pp. 1-11. https://doi.org/10.1063/1.5021864
Adiabatic decay of internal solitons in a rotating ocean
Obregon, M. A., Raj, N. and Stepanyants, Y. A.. 2016. "Adiabatic decay of internal solitons in a rotating ocean." 20th Australasian Fluid Mechanics Conference (AFMC 2016). Perth, Australia 05 - 08 Dec 2016 Australia.
Nonlinear vector waves of a flexural mode in a chain model of atomic particles
Nikitenkova, S. P., Raj, N. and Stepanyants, Y. A.. 2015. "Nonlinear vector waves of a flexural mode in a chain model of atomic particles." Communications in Nonlinear Science and Numerical Simulation. 20 (3), pp. 731-742. https://doi.org/10.1016/j.cnsns.2014.05.031
UICC control over devices used to obtain service
Brown, Jason and Ahluwalia, Inderpreet Singh. 2014. UICC control over devices used to obtain service. US8639290B2
Nonlinear spectra of shallow water waves
Giovanangeli, J. -P., Kharif, C., Raj, N. and Stepanyants, Y.. 2013. "Nonlinear spectra of shallow water waves." Oceans - San Diego, 2013. San Diego, United States 23 - 26 Sep 2013 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.23919/OCEANS.2013.6741132
Numerical study of nonlinear wave processes by means of discrete chain models
Obregon, M., Raj, N. and Stepanyants, Y.. 2012. "Numerical study of nonlinear wave processes by means of discrete chain models." Gu, Y. T. and Saha, Suvash C. (ed.) 4th International Conference on Computational Methods (ICCM 2012). Gold Coast, Australia 25 - 28 Nov 2012 Brisbane, Australia.
Multiple subscription subscriber identity module (SIM) card
Brown, Jason. 2009. Multiple subscription subscriber identity module (SIM) card. US7613480B2