Henderson, S. J., & McDonald, K. (2014, June), lectureLess:  A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment  Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20747

\bibitem{asee_peer_20747}
  Henderson, S. J., \& McDonald, K. (2014, June), \emph{lectureLess:  A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment}
  Paper presented at 2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana.
  10.18260/1-2--20747

Steven J Henderson and Kenneth McDonald P.E..  "lectureLess:  A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment".  2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014, June.  ASEE Conferences, 2014.  https://peer.asee.org/20747 Internet.  06 Feb, 2025

\bibitem{asee_peer_20747}
  Steven J Henderson and Kenneth McDonald P.E..
  "lectureLess:  A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment".
  \emph{2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana, 2014, June}.
  ASEE Conferences, 2014.
  https://peer.asee.org/20747 Internet.  06 Feb, 2025

@INPROCEEDINGS{asee_peer_20747
author = "Steven J Henderson and Kenneth McDonald P.E."
title = "lectureLess:  A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment"
booktitle = "2014 ASEE Annual Conference \& Exposition"
year = "2014"
month = "June"
address = "Indianapolis, Indiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/20747}
number = {10.18260/1-2--20747}
}

TY  - CPAPER
AB  -      lectureLess: A Mobile Cloud Computing Approach to Near Real-time                            Teaching AssessmentIn this paper, we introduce lectureLess, a mobile cloud computing architecture designed tocollect and manage near real-time teaching assessment data reported by students. The goal oflectureLess is to leverage the ubiquitous nature of student mobile devices to monitor and collectself-reported learning trends as they occur during a typical classroom session. The systemincludes a mobile device application for the learner and a set of rich internet applications for theteacher. The mobile device collects real-time feedback from students who use the mobileapplication to report attainment of three learning metrics: comprehension, motivation, andinteraction. Assessment data is pushed into a cloud repository where it can be analyzed andprojected to the teacher in near real-time or archived for analysis after class.We share our experiences with lectureLess as employed in two systems engineering coursestaught by two different instructors. We include aggregate trends in overall student reporting anddiscuss the viability of mobile devices for near real-time assessment. We also includepreliminary results from a formal study linking self-reported trends in student learning toteaching techniques. In this study, we analyze assessment data from lectureLess and identifyinflection points in the reported levels of comprehension, motivation and interaction. Theseinflection points are matched to corresponding video highlights of the assessed classroomsession. A third party observer then independently evaluates the video highlights and makestheir own assessment about the students’ attainment of the evaluated learning dimensions. Theobserver also analyzes the video highlights for strengths and weaknesses in the teacher’steaching style during the identified inflection points in student learning.
AU  - Steven J Henderson
AU  - Kenneth McDonald P.E.
CY  - Indianapolis, Indiana
DA  - 2014/06/15
PB  - ASEE Conferences
TI  - lectureLess:  A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment
UR  - https://peer.asee.org/20747
DO  - 10.18260/1-2--20747
ER  -