When academics integrate research skill development in the curriculum
Abstract
This study considered outcomes when 27 academics explicitly developed and assessed student research skills in 28 regular (non-research methods) semester-length courses. These courses ranged from small (n = 17) to medium-large (n = 222) and included those from first year to masters in business, engineering, health science, humanities and science, across five universities in three Australian cities. The two-year study used three data sets to determine the outcomes of development and assessment initiatives: student pre- (n = 779) and post-questionnaires (n = 601), interviews with students (n = 46) one year after completing a course that developed research skills and interviews with academics (n = 17) involved in developing and assessing student research skills. These multiple sources provided evidence that students developed a variety of discipline-specific research skills and that these skills were useful for subsequent studies and especially for employment. Academics indicated that the process of making explicit the development of student research skills led to enhancement of their teaching, helping the academics to clarify major course purposes as well as enabling them to provide more substantial feedback to students than in the past. Academics also indicated that this teaching process changed their understanding of disciplinary research and, for some, even suggested new directions in their research.
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Willison (2012) found that 72% of students reported improved ability to find information relevant to their coursework.
“Willison (2012) found that 72% of students reported improved ability to find information relevant to their coursework”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Willison, 2012
Willison (2012) highlighted that students often experience difficulties with key research processes, including formulating research questions, selecting methods, and synthesizing information from sources.
“Similarly, Willison (2012) highlighted that students often experience difficulties with key research processes, including formulating research questions, selecting methods, and synthesizing information from sources.”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Willison, 2012
Students experience difficulties in the early stages of the research process, specifically when selecting focused topics, formulating research questions, and constructing hypotheses.
“Prior studies have revealed that students experience difficulties in the early stages of the research process, specifically when selecting focused topics, formulating research questions, and constructing hypotheses.”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Willison, 2012
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Self-citation
- Authors
- Willison, J. W.
- Affiliations
- The University of Adelaide (AU)
- Corresponding author
- Willison, J. W.
- ORCID
- Willison, J. W.
- Venue
- Higher Education Research & Development
- Publisher
- Informa UK Limited
- Published
- 2012-12
- Volume
- 31
- Issue
- 6
- Pages
- 905-919
- ISSN
- 0729-4360 (ISSN-L)
- 1469-8366
- OpenAlex
- W2029881107
- Cited by
- 92
- References
- 26
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 8 · 2022: 4 · 2021: 13 · 2020: 11 · 2019: 8 · 2018: 13 · 2017: 2 · 2016: 3 · 2015: 7 · 2014: 7 · 2013: 2
- FWCI
- 24.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Higher Education Research & Development (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Social Sciences › Education › Evaluation of Teaching Practices
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Social Sciences › Education › Educational Research and Methods
- Keywords
- research skills development, curriculum integration, student research skills, teaching practice, feedback to students, academic development, student employability, university teaching
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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