InterLect - Lecture Content Interface

Large audiences complicate interactions between lecturer and individual students. Because students differ in their individual qualities, all of them have their own individual needs and challenges - at different topics and at different points in time. We reviewed current academic teaching processes in their way of presenting and consuming lecture material. Based on our findings, we implemented InterLect to observe students’ perception of lecture material and to examine their conflicts and needs during the lecture. These needs help us to improve the awareness on comprehension and determination of appropriate learning activities, so students are able to increase their benefit from the teaching content.

[1]  Detlev Leutner,et al.  The Cambridge Handbook of Multimedia Learning: The Generative Drawing Principle in Multimedia Learning , 2014 .

[2]  Clemens H. Cap,et al.  Tweedback: A Live Feedback System for Large Audiences , 2013, CSEDU.

[3]  Clemens H. Cap,et al.  Making Classroom Response Systems More Social , 2014, CSEDU.

[4]  Jeroen J. G. van Merriënboer,et al.  The Cambridge Handbook of Multimedia Learning: The Four-Component Instructional Design Model: Multimedia Principles in Environments for Complex Learning , 2005 .

[5]  Christine McDonald,et al.  Mobile-phone-based classroom response systems: Students’ perceptions of engagement and learning in a large undergraduate course , 2013 .

[6]  Paul A. Kirschner,et al.  Effects of primer podcasts on stimulating learning from lectures: How do students engage? , 2014, Br. J. Educ. Technol..

[7]  S. Tobias.  Generative Learning Theory, Paradigm Shifts, and Constructivism in Educational Psychology: A Tribute to Merl Wittrock , 2010 .

[8]  Alice Jenkins.  Technique and Technology: Electronic Voting Systems in an English Literature Lecture , 2007 .

[9]  D. Mioduser.  The Pedagogical Ecology of Technology Education: An Agenda for Future Research and Development , 2015 .

[10]  Robin H. Kay,et al.  Examining the benefits and challenges of using audience response systems: A review of the literature , 2009, Comput. Educ..

[11]  M. Wittrock.  Generative Learning Processes of the Brain , 1992 .

[12]  Barbara L. Grabowski,et al.  Generative Learning: Principles and Implications for Making Meaning , 2007 .

[13]  J. Biggs.  What the student does: teaching for enhanced learning , 1999 .

[14]  Susan M. Land,et al.  Student-Centered, Open Learning Environments: Research, Theory, and Practice , 2014 .

[15]  D. Laurillard.  Digital Technologies and Their Role in Achieving Our Ambitions for Education , 2008 .

[16]  Johannes Magenheim,et al.  Designing a web-based application to support Peer Instruction for very large Groups , 2012, ICIS.

[17]  Robin Nicolay.  Semantic Enhancement of Lecture Material , 2014, ArXiv.

[18]  M. Wittrock.  Generative Processes of Comprehension , 1989 .

[19]  B. Latour,et al.  Laboratory Life: The Construction of Scientific Facts , 1979 .

[20]  Bernd Becker,et al.  SMILE - Smartphones in Lectures - Initiating a Smartphone-based Audience Response System as a Student Project , 2012, CSEDU.