Titlebook: Advances in Quantitative Ethnography; First International Brendan Eagan,Morten Misfeldt,Amanda Siebert-Evens Conference proceedings 2019 S

IRATE

Black Hole Algorithm and Its Applications,nts. Once reliability and validity are established, nCoder automatically applies the coding scheme to the dataset. However, for concepts that occur infrequently, even with an acceptable reliability, the classifier may still result in too many false negatives. This paper explores these problems withi

Panther

occult

Cupping

https://doi.org/10.1007/978-3-540-72687-6’ lesson plans are quantified and represented using epistemic network analysis. Findings reveal and levels of complexity that have been intimated but, until now, not supported with empirical evidence.

幻想

Susana Munoz-Hernandez,Claudio Vauchereterformed become listenable. A specific software, SOnification of DAta for Learning Analytics (SODA4LA), was developed for this purpose. The first results show that different features of the data can be recognized from data listening. These results also enable for the identification of different para

forebear

CULP

exquisite

燕麥

Using Process Mining (PM) and Epistemic Network Analysis (ENA) for Comparing Processes of Collaborat in later stages of their learning process, they focus on fewer activities when being confronted with motivational than with comprehension-related problems. Thus, a combination of the two approaches seems to be warranted.

機(jī)械

Students’ Collaboration Patterns in a Productive Failure Setting: An Epistemic Network Analysis of Cearning outcome (i.e., performance on a knowledge test). The comparison of four groups with a high learning outcome and of four groups with a low learning outcome revealed similar ENA results as the comparison of the HQ and LQ groups. These findings offer empirical evidence for the often hypothesize