The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
What changes, and for whom? A study of the impact of learning analytics-based process feedback in a large course
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“Another promise of GenAI in supporting human learning is its potential to provide timely, specific, and constructive feedback, a key element of high-quality instruction and essential for effective learning [34][35][36].”
From Promises and challenges of generative artificial intelligence for human learning (2024) · cites this paper as [35]
In the citing paper
“Studies [135,136] demonstrated how analyzing feedback data helped instructors pinpoint gaps in students' procedural skills.”
From Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189 (2026) · cites this paper as [135]
In the citing paper
“This identification led to more targeted interventions and improved learning outcomes, ensuring that students received the support they needed to address specific areas of difficulty.”
From Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189 (2026) · cites this paper as [135]
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“On the other hand, feedback as a means to enhance self-regulation, which leads to improved academic performance, has been widely studied [6], [7].”
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“One of the main tasks of learning analytics is to provide personalized and proactive feedback (Lim et al., 2021).”
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“The LA-based feedback system based on students’ learning data provides personalized feedback to them and improve their performance [2].”
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“The integration of digital tools into the feedback process, such as online platforms and annotation software, has further enhanced the accessibility and timeliness of written feedback (Dawson et al., 2018; Lim et al., 2021).”
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“Recent literature indicates that students report motivation to invest more effort into their studies when receiving tailored messaging (Lim, Dawson et al., 2021).”
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“…of course expectations (Arthars et al., 2019), and quantitative results showing effectiveness in helping students to adapt their learning strategies (Lim et al., 2019), improving students’ satisfaction with feedback, and enhancing academic performance (Pardo, Jovanović, Gašević, & Dawson, 2017).”
BackgroundSelf-citationImpact of Embedded Learning Strategy Activities: Student Engagement and Performance
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“In recent years, several studies explored the impact of personalized emails or email reminders on students’ engagement with courses and their academic performance (Kurtz et al., 2022; Lim et al., 2021; O’Connell & Lang, 2018; Zavaleta Bernuy et al., 2022).”
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“Receiving prompt feedback helps alleviate the stress often linked to evaluations by providing constructive guidance within a positive and encouraging context (Lim et al. 2021).”
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Metadata
- Authors
- Lim, L.-A., Gentili, S., Pardo, A., Kovanović, V., Whitelock-Wainwright, A., Gašević, D., & Dawson, S.
- Affiliations
- University of South Australia (AU)
- Monash University (AU)
- Corresponding author
- Lim, Lisa-Angelique
- ORCID
- Venue
- Learning and Instruction
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 72
- Pages
- 101202
- ISSN
- 0959-4752 (ISSN-L)
- OpenAlex
- W2945685654
- Cited by
- 159
- References
- 52
- Citations by year
- 2026: 16 · 2025: 20 · 2024: 26 · 2023: 32 · 2022: 27 · 2021: 18
- FWCI
- 17.64
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Learning and Instruction (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion)
- HAL (submittedVersion)
- Funders
- Office for Learning and Teaching
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- learning analytics, process feedback, student self-regulation, academic performance, personalized feedback, prior academic achievement, e-book usage
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