Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"Generative Learning Model"”.
-
Understanding decimal numbers: an investigation of student meaning constructions in intermediate and high school
… interviews investigated the students’ views of learning mathematics and mathematics teaching, including their affective responses to decimal numbers and mathematics. The research was influenced by the constructivist view of learning in which the emphasis is on the individual actively …
-
Using Vignettes to Develop Higher-Order Thinking and Academic Achievement in Adult Learners in an Online Environment
… the use of vignettes as a teaching strategy and learning activity of the Generative Learning Model in a hybrid online course. The Generative Learning Model, which consists of five main components: attention, motivation, knowledge, generation, and metacognition (Wittrock, 2000) was incorporated …
-
Classroom perceptions of physics and the introduction of technological applications
… applications into the classroom based on the generative learning model is investigated. Students’ views of school physics were examined by interviews with 60 7th form (17-18 years) students and surveys with 426 6th form (16-17 years) and 168 7th form physics students. The interviews and …
-
The description and modification of children's views of plant nutrition
… production)and which was based on the generative learning model was developed. The new strategy resulted in a teaching package entitled "Where Does The Wood Come From?" which was trialled by an experienced and sympathetic teacher with a middle ability class of 26 fourth formers …
-
Variational Autoencoders for Discovering Influential Latent Factors
Generative modeling is increasingly being used to simulate or generate new unseen data instances by means of modeling the statistical distribution of data. Generative modeling falls under the broad area of representation learning, which aims to discover representations required for detecting …