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Volume Two - Academic Conferences

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Reaction Lecture: Text Messaging to Increase Student<br />

Engagement in Large-Scale Lectures<br />

Koos Winnips, Joost Heutink, and Hans Beldhuis<br />

University of Groningen, Netherlands<br />

koos.winnips@rug.nl<br />

j.h.c.heutink@rug.nl<br />

h.j.a.beldhuis@rug.nl<br />

Abstract: By helping to be active during large scale lectures, students remember better what is presented, and<br />

can better connect new knowledge to entry knowledge. In large scale lectures with more than 150 students, it is<br />

nearly impossible to manage personal, face-to-face discussions and interaction. Based upon positive<br />

experiences with enabling interaction via mobile phones a new form of interaction was tried in a second year<br />

Bachelor’s course (722 students). Students could send in open comments and questions via SMS, Twitter or via<br />

mobile Internet. The lecturer built in blocks of time to respond to these questions and comments. Unanswered but<br />

relevant questions are forwarded to the forum of the electronic learning environment (Blackboard), enabling an<br />

online response. An experimental design was set up, dividing the lectures of the same lecturer between<br />

“reactionlectures” and traditional lectures. Three primary questions for this study were defined: Would students<br />

learn better in a reactionlecture than in a traditional lecture? What are the opinions of students on giving direct<br />

reactions during a lecture? What forms of providing open comments during lectures can be used? A difference in<br />

learning results (as perceived by the students) was not found. Although students indicated that by giving open<br />

comments, the lecturer could better adapt to their entry knowledge. Further, questionnaires showed that students<br />

were happy both with the options for interaction, and with the connection between the lecture and the discussion<br />

forum in Blackboard. Students indicated they would like to have more blocks of interaction during the lecture, so<br />

that responding via their mobile phone doesn’t distract from listening to the lecturer. Contrary to expectations<br />

about the “Facebook generation”, students did not respond or comment often. To make the reactionlecture more<br />

effective, blocks of interaction on key lecture topics should be scheduled.<br />

Keywords: backchannel, audience response systems, student interaction, large-scale lectures<br />

1. Introduction<br />

This paper describes a way to give students a new role during lectures that supports active learning.<br />

Traditionally, large-scale lectures (more than 150 students) provided a passive experience. A lecturer<br />

provides information to students, and students are listening. But, the attention span of students is<br />

limited. Students themselves report that the longest time they can endure uninterrupted lecturing is 20<br />

to 30 minutes (MacManaway, 1970). To “reset this attention clock” several measures have been tried<br />

out, such as “structured interactive sessions” (Kumar, 2003), audience response systems (Caldwell,<br />

2007), attention breaks in lectures (Johnstone & Percival, 1976) to using clothespins for audience<br />

paced feedback (described in Poulis, Massen, Robens & Gilbert, 1998). By clicking an electrically<br />

wired clothespin, the audience could give reactions to the lecturer. Students could indicate whether<br />

the content is understood, give answers to multiple choice questions, or indicate whether they are<br />

ready to continue. All these measures are designed to increase interaction and engagement with the<br />

audience during a lecture.<br />

Further, we have seen that contact with fellow students, and especially contact with a lecturer<br />

promotes positive study behaviour, and thus increases the chances of students successfully finishing<br />

a course (Torenbeek, 2011). Consequently, measures that promote contact between students and<br />

lecturer, even in very large lecture halls, would increase the efficiency of courses.<br />

Via an earlier study (Winnips & Thlaoele, 2010) we found several didactic models to promote<br />

interaction in large courses:<br />

Concept tests: as proposed by Mazur (2009), concept tests are challenging multiple choice<br />

questions that are presented after 15 to 20 minutes of lecturing. After answering the questions,<br />

students discuss with their neighbour. At the end of the lecture, students are asked to give their<br />

answers again, after which the “correct” answer is given and discussed.<br />

Group answers: a variation on the “Mazur” model is proposed by Thloaele (2011). Groups of<br />

students are asked to discuss their answers to questions first, before answering and getting<br />

feedback on the answer.<br />

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