The problem of recommending learning objects to a group of users or instructors is much more difficult than the traditional problem of recommending to only one individual. To resolve this problem, this paper proposes to use meta-learning for predicting the best voting aggregation strategy in order to automatically obtain the final ratings without having to reach a consensus between all the inst...

As the number of e-learning courses grows at institutions, the academic experience changes for an increasing number of instructors and students. Both groups must adapt as the institutional support processes evolve. Course preparation might entail, for example, learning a new software application to convey a concept more effectively; students may express their learning efforts via text, audio, o...

new faculty and instructors exploring the pedagogy of teaching and looking for good practical advice in teaching; any faculty member or instructor eager to explore any of the topics further; mentors of new faculty or graduate teaching assistants (these modules are a great way to provide an easily accessible resource that can be shared and discussed); faculty and instructors teaching courses on ...

Instructors play a major role in many of the current virtual training systems. Consequently, either many instructors per trainee are needed, which is expensive, or single instructors perform highly demanding tasks, which might lead to suboptimal training. To solve this problem, this paper proposes a cognitive model that not only generates the behaviour of virtual characters, but also produces e...

Past research indicates several factors influencing teaching evaluation ratings instructors receive. We analyzed teaching evaluations from psychology courses during fall and spring semesters of 2003– 2004 to determine if class size, class level, instructor gender, number of publications (faculty instructors), average grade given by the instructor, and instructor rank predicted teaching evaluati...

A multitude of factors influence interpersonal interaction between students and instructors in an online course. This study examines perceptions of six experienced online instructors to determine factors they believe increase interaction among their students and between the students and instructor of online courses. The end result is an inventory of strategies that can be used by novice and exp...

new faculty and instructors exploring the pedagogy of teaching and looking for good practical advice in teaching; any faculty member or instructor eager to explore any of the topics further; mentors of new faculty or graduate teaching assistants (these modules are a great way to provide an easily accessible resource that can be shared and discussed); faculty and instructors teaching courses on ...

• The LWE error distribution Φαq is a continuous one-dimensional Gaussian, which is a projection of the spherical n-dimensional distribution Dαq onto its first coordinate. • The distribution Dαq is smooth in the following sense: If L is some lattice (or coset of a lattice) with λn(L) αq, then if we choose ~x← DL,r and ~y ← Ds such that r2 + s2 = (αq)2 then the induced distribution on ~x+ ~y is ...

In this exploratory qualitative study, we describe instructors’ self-reported practices for teaching and assessing students’ ability to troubleshoot in electronics lab courses. We collected audio data from interviews with 20 electronics instructors from 18 institutions that varied by size, selectivity, and other factors. In addition to describing participants’ instructional practices, we charac...

background: we aimed to develop and evaluate outcomes of a blended learning (bl) program for nursing and midwifery education in iran. materials and methods: this was a participatory action research project. after designing bl website, providing technological infrastructures, and holding preparatory workshops, 22 blended courses were designed. bl method was implemented for one semester. students...