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      No apparent association between lecture attendance or accessing lecture recordings and academic outcomes in a medical laboratory science course

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          Abstract

          Background

          The effect of availability of lecture recordings on academic outcomes is not clear and it is not known whether these recordings change the association between lecture attendance and academic outcomes. Few surveys of lecture attendance or lecture recordings use by students are linked to academic outcomes. The aims were (i) to determine any association between lecture attendance and academic outcomes for students who had access to lecture recordings, (ii) to determine any association between accessing lecture recordings and academic outcomes and (iii) to use a survey to determine why students attend lectures and/or access lecture recordings in a course in medical laboratory science.

          Methods

          Consenting students signed in when attending lectures and/or completed an online survey. Pearson’s correlation coefficients were calculated to determine whether there was an association between attending lectures or accessing lecture recordings and academic outcomes.

          Results

          Consent rates were high for both the sign-in (90%) and survey (64%). The main findings were that in 2017 and 2018: (i) the average lecture attendance was 39 and 27%, respectively, (ii) there was no association between lecture attendance and academic outcomes, (iii) there was no association between accessing lecture recordings and academic outcomes. Survey respondents were almost equally divided between those attending lectures weekly, sometimes or not. Reasons for attending lectures included greater perceived learning and interaction with staff and other students, while reasons for not attending related to inconvenience or other commitments. Lecture recordings were accessed to clarify, revise or catch up on content, or as an alternative to attending lectures. One-third of students provided additional feedback on accessing lecture recordings, and the most common themes were ‘flexibility’ and ‘useful’. Lecture slides (PowerPoints), independently of lecture recordings, were used extensively by the students.

          Conclusions

          From this study, it does not seem that either lecture attendance or accessing lecture recordings are major determinants of academic outcomes for most students. As students vary in their lecture attendance and use of online resources including lecture recordings and lecture slides, academic staff should continue to provide a range of resources for students.

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          Most cited references36

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          Class Attendance in College: A Meta-Analytic Review of the Relationship of Class Attendance With Grades and Student Characteristics

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            Who Succeeds at University? Factors predicting academic performance in first year Australian university students

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              Motivation, learning strategies, participation and medical school performance.

              Medical schools wish to better understand why some students excel academically and others have difficulty in passing medical courses. Components of self-regulated learning (SRL), such as motivational beliefs and learning strategies, as well as participation in scheduled learning activities, have been found to relate to student performance. Although participation may be a form of SRL, little is known about the relationships among motivational beliefs, learning strategies, participation and medical school performance. This study aimed to test and cross-validate a hypothesised model of relationships among motivational beliefs (value and self-efficacy), learning strategies (deep learning and resource management), participation (lecture attendance, skills training attendance and completion of optional study assignments) and Year 1 performance at medical school. Year 1 medical students in the cohorts of 2008 (n = 303) and 2009 (n = 369) completed a questionnaire on motivational beliefs and learning strategies (sourced from the Motivated Strategies for Learning Questionnaire) and participation. Year 1 performance was operationalised as students' average Year 1 course examination grades. Structural equation modelling was used to analyse the data. Participation and self-efficacy beliefs were positively associated with Year 1 performance (β = 0.78 and β = 0.19, respectively). Deep learning strategies were negatively associated with Year 1 performance (β =- 0.31), but positively related to resource management strategies (β = 0.77), which, in turn, were positively related to participation (β = 0.79). Value beliefs were positively related to deep learning strategies only (β = 0.71). The overall structural model for the 2008 cohort accounted for 47% of the variance in Year 1 grade point average and was cross-validated in the 2009 cohort. This study suggests that participation mediates the relationships between motivation and learning strategies, and medical school performance. However, participation and self-efficacy beliefs also made unique contributions towards performance. Encouraging participation and strengthening self-efficacy may help to enhance medical student performance. © Blackwell Publishing Ltd 2012.
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                Author and article information

                Contributors
                sheila.doggrell@qut.edu.au
                Journal
                BMC Med Educ
                BMC Med Educ
                BMC Medical Education
                BioMed Central (London )
                1472-6920
                30 June 2020
                30 June 2020
                2020
                : 20
                : 207
                Affiliations
                GRID grid.1024.7, ISNI 0000000089150953, Faculty of Health, , Queensland University of Technology, ; Brisbane, QLD 4002 Australia
                Author information
                http://orcid.org/0000-0003-4665-4483
                Article
                2066
                10.1186/s12909-020-02066-9
                7329538
                32605579
                f481fd75-9343-4bdb-8bb7-618af978e2be
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 February 2020
                : 4 May 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Education
                academic outcomes,lecture attendance,lecture recordings,lecture slides,medical laboratory science students,survey

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