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Zheng, Lanqin; Zhong, Lu; Niu, Jiayu – Assessment & Evaluation in Higher Education, 2022
Learning analytics has been widely used in the field of education. Most studies have adopted a learning analytics dashboard to present data on learning processes or learning outcomes. However, only presenting learning analytics results was not sufficient and lacked personalised feedback. In response to these gaps, this study proposed a learning…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Feedback (Response)
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Wang, Shutao; Zhang, Demei – Assessment & Evaluation in Higher Education, 2020
The aim of this study was to determine the mediating effect of learning engagement on the relationship between perceived teacher feedback and college students' academic performance, and the moderating effect of assessment characteristics on the relationship between perceived teacher feedback and learning engagement. A sample of 2,458 students in a…
Descriptors: Feedback (Response), Academic Achievement, Learner Engagement, Student Evaluation
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Hobbins, Justine; Kerrigan, Bronte; Farjam, Niloufar; Fisher, Ashley; Houston, Emilie; Ritchie, Kerry – Assessment & Evaluation in Higher Education, 2022
Authentic assessment is revered to support student learning, but it is typically described within the context of work-integrated learning and professional schools, leaving one to question whether a classroom-based curriculum can offer authentic assessments. This study documented the prevalence of authentic assessments throughout a complete health…
Descriptors: Incidence, Performance Based Assessment, Feedback (Response), Evaluation Criteria
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Gao, Ying; Schunn, Christian Dieter D.; Yu, Qiuying – Assessment & Evaluation in Higher Education, 2019
Despite the wide use of peer assessment, questions about the helpfulness of peer feedback are frequently raised. In particular, it is unknown whether, how and to what extent peer feedback can help solve problems in initial texts in complex writing tasks. We investigated this research gap by focusing on the case of writing literature reviews in an…
Descriptors: Alignment (Education), Peer Evaluation, Feedback (Response), Revision (Written Composition)
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Rybinski, Krzysztof; Kopciuszewska, Elzbieta – Assessment & Evaluation in Higher Education, 2021
This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation of Teacher Performance, Natural Language Processing
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Dawson, Phillip; Carless, David; Lee, Pamela Pui Wah – Assessment & Evaluation in Higher Education, 2021
How can learners be supported to engage productively in the kinds of feedback practices they may encounter after they graduate? This article introduces a novel concept of authentic feedback to denote processes which resemble the feedback practices of the discipline, profession or workplace. Drawing on the notion of authentic assessment, a…
Descriptors: Teaching Methods, Feedback (Response), Performance Based Assessment, Guidelines
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Ashford-Rowe, Kevin; Herrington, Janice; Brown, Christine – Assessment & Evaluation in Higher Education, 2014
This study sought to determine the critical elements of an authentic learning activity, design them into an applicable framework and then use this framework to guide the design, development and application of work-relevant assessment. Its purpose was to formulate an effective model of task design and assessment. The first phase of the study…
Descriptors: Performance Based Assessment, Models, Test Construction, Transfer of Training
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Stiller, Jurik; Hartmann, Stefan; Mathesius, Sabrina; Straube, Philipp; Tiemann, Rüdiger; Nordmeier, Volkhard; Krüger, Dirk; Upmeier zu Belzen, Annette – Assessment & Evaluation in Higher Education, 2016
The aim of this study was to improve the criterion-related test score interpretation of a text-based assessment of scientific reasoning competencies in higher education by evaluating factors which systematically affect item difficulty. To provide evidence about the specific demands which test items of various difficulty make on pre-service…
Descriptors: Logical Thinking, Scientific Concepts, Difficulty Level, Test Items
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Homer, Matt; Darling, Jonathan; Pell, Godfrey – Assessment & Evaluation in Higher Education, 2012
Over recent years, UK medical schools have moved to more integrated summative examinations. This paper analyses data from the written assessment of undergraduate medical students to investigate two key psychometric aspects of this type of high-stakes assessment. Firstly, the strength of the relationship between examiner predictions of item…
Descriptors: Foreign Countries, Medical Schools, Summative Evaluation, High Stakes Tests
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Lingard, Jennifer; Minasian-Batmanian, Laura; Vella, Gilbert; Cathers, Ian; Gonzalez, Carlos – Assessment & Evaluation in Higher Education, 2009
Effective criterion referenced assessment requires grade descriptors to clarify to students what skills are required to gain higher grades. But do students and staff actually have the same perception of the grading system, and if so, do they perform better than those whose perceptions are less accurately aligned with those of staff? Since…
Descriptors: Feedback (Response), Prior Learning, Physics, Difficulty Level