Predicting performance in exams and deep approach to learning in first year university students: a new look at academic success-Reference-Cited by-同舟云学术

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Predicting performance in exams and deep approach to learning in first year university students: a new look at academic success

Published:2024-04-18 Issue: Volume: Page:1-16
ISSN:0307-5079
Container-title:Studies in Higher Education
language:en
Short-container-title:Studies in Higher Education

Author:

Bächtold Manuel¹²^ORCID,Papet Jacqueline¹²^ORCID,Barbe Asensio Dominique¹^ORCID,Mas André¹³^ORCID,Borne Sandra¹^ORCID,Ngoua Ondo Appolinaire¹^ORCID

Affiliation:

1. OTP, SCSIP, University of Montpellier, Montpellier, France

2. LIRDEF, University of Montpellier & University Paul Valéry Montpellier, Montpellier, France

3. IMAG, University of Montpellier & CNRS, France

Funder

Observatoire de la Transformation Pédagogique (OTP) de l’Université de Montpellier

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03075079.2024.2338262

Reference61 articles.

1. Epistemic beliefs and academic performance across soft and hard disciplines in the first year of college

2. Learning hindrances and self-regulated learning strategies reported by undergraduate students: identifying characteristics of resilient students

3. Using student-centred learning environments to stimulate deep approaches to learning: Factors encouraging or discouraging their effectiveness

4. Predicting University Students’ Academic Success and Major Using Random Forests

5. A Comparison of University Students' Approaches to Learning Across Taiwan and Turkey

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