Combining Deep Learning Mechanisms to Predict Interests from Gaze. [PDF]
Izumi A, Harada F, Shimakawa H.
europepmc +1 more source
The influence of sense of agency on learning structured regularities: an artificial grammar learning study. [PDF]
Haxhi R, Woźniak M, Wykowska A.
europepmc +1 more source
Flipped classroom integrated with team-based learning enhances surgical skills in ophthalmology residency training: a randomized controlled trial. [PDF]
Wang Z +8 more
europepmc +1 more source
"<i>Laro, Layunin, Lagablab</i>": exploring study engagement in Filipino recreational games-based physical education through the tripartite model of individual interest. [PDF]
Lobo J.
europepmc +1 more source
Mapping Theoretical Frameworks of Positive Psychology in Second Language Acquisition Research: A Scoping Review. [PDF]
Gao K, Zhang J.
europepmc +1 more source
Computed tomography enterography-based deep learning radiomics models of intestinal lesions and perienteric fat for predicting Crohn's disease activity: a multicenter cohort study. [PDF]
Zhao C +6 more
europepmc +1 more source
Related searches:
Interest and Learning From Text
American Educational Research Journal, 1991Dewey (1913) suggested some time ago that trying to find out what is of interest to students is an important part of schooling; on the other hand, “making things interesting” is artificial and often unsuccessful. Two studies investigating the placement of interesting detail in a text about a physicist and his scientific work are reported here.
Ruth Garner +4 more
openaire +1 more source

