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Tempelaar, Dirk – Assessment & Evaluation in Higher Education, 2020
How can we best facilitate students most in need of learning support, entering a challenging quantitative methods module at the start of their bachelor programme? In this empirical study into blended learning and the role of assessment for and as learning, we investigate learning processes of students with different learning profiles.…
Descriptors: Learning Analytics, Formative Evaluation, Blended Learning, Undergraduate Students
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Tempelaar, Dirk – International Association for Development of the Information Society, 2021
The search for rigor in learning analytics applications has placed survey data in the suspect's corner, favoring more objective trace data. A potential lack of objectivity in survey data is the existence of response styles, the tendency of respondents to answer survey items in a particular biased manner, such as yeah saying or always disagreeing.…
Descriptors: Learning Analytics, Responses, Surveys, Bias
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Versteeg, Marjolein; Wijnen-Meijer, Marjo; Steendijk, Paul – Advances in Physiology Education, 2019
Misconceptions about physiology are a major threat to accurate scientific and clinical reasoning in medical education. Awareness is often mentioned as a prerequisite to achieve conceptual understanding; however, students are frequently unaware of their incorrect understanding. We explored the multitier approach as a tool to obtain insight into…
Descriptors: Misconceptions, Metabolism, Heart Disorders, Student Attitudes
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Day, Indira N. Z.; van Blankenstein, Floris M.; Westenberg, P. Michiel; Admiraal, Wilfried F. – Higher Education Research and Development, 2018
Individual student success is influenced by the educational environment and student characteristics. One adaptation of the educational environment to improve student success is the introduction of continuous, or in-course, assessment. Previous research already identified several student characteristics that are related to student success as…
Descriptors: Student Characteristics, Statistical Analysis, Academic Achievement, Questionnaires
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Torenbeek, Marjolein; Jansen, Ellen; Suhre, Cor – Studies in Higher Education, 2013
The time students invest in their studies and their resulting achievement is partly dependent on curriculum characteristics. Degree programmes differ greatly with respect to how the curriculum is organized, for example in the type (e.g. lectures, practicals) and the number of classes. The focus of this study is on the relationships between…
Descriptors: Prediction, Undergraduate Students, Attendance, Academic Achievement
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van Vliet, E. A.; Winnips, J. C.; Brouwer, N. – CBE - Life Sciences Education, 2015
In flipped-class pedagogy, students prepare themselves at home before lectures, often by watching short video clips of the course contents. The aim of this study was to investigate the effects of flipped classes on motivation and learning strategies in higher education using a controlled, pre- and posttest approach. The same students were followed…
Descriptors: Video Technology, Educational Technology, Homework, Teaching Methods
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers