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Student-centered introductory biology course : evidence for deep learning

By: Tali, Tal.
Contributor(s): Tsaushu, Masha.
Material type: materialTypeLabelArticleDescription: p.376 - 390.Subject(s): Biology introductory course | Instructional change | Qualitative deep learningDDC classification: 574.07 / Tal Online resources: Click here to access online In: Journal of Biological Education, 52(4), December 2018Summary: Our interpretative study that was carried out in a science and engineering oriented university examined the ways students in an introductory biology course perceived their learning in the course that was substantially changed to allow student-centered learning. The instructional change was framed by the view of learning as a sociocultural activity as well as a cognitive process that can take place face-to-face or through online interaction. Most of the lectures were substituted with individual learning and project-based, small-group learning that lasted one month. Data were collected through interviews with students and instructors, and through observations. In the paper, we show evidence for deep learning that was associated by the students and the instructors with short-term, meaningful activities in a setting that included collaborative peer learning; and replacing most lectures by small group learning that ended in a mini-conference. Deep learning was evidenced by the ways students reflected on how they organised and applied knowledge using deep learning strategies.
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Our interpretative study that was carried out in a science and engineering oriented university examined the ways students in an introductory biology course perceived their learning in the course that was substantially changed to allow student-centered learning. The instructional change was framed by the view of learning as a sociocultural activity as well as a cognitive process that can take place face-to-face or through online interaction. Most of the lectures were substituted with individual learning and project-based, small-group learning that lasted one month. Data were collected through interviews with students and instructors, and through observations. In the paper, we show evidence for deep learning that was associated by the students and the instructors with short-term, meaningful activities in a setting that included collaborative peer learning; and replacing most lectures by small group learning that ended in a mini-conference. Deep learning was evidenced by the ways students reflected on how they organised and applied knowledge using deep learning strategies.

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