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Volume Two - Academic Conferences

Volume Two - Academic Conferences

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2. Method<br />

2.1 Fully on-line learning course<br />

Minoru Nakayama et al.<br />

The notes taken by students were evaluated during an Information Systems Network course which was<br />

a fully online course given to undergraduate students in Economics at a Japanese national university.<br />

The online learning course consisted of modules with lecture videos, slides and online tests.<br />

Participants were asked to study one module every week, and take notes from the online learning<br />

materials without any printed materials and face-to-face sessions being provided. The learning pace<br />

was set by the lecturer so that students needed to complete one module per week. For each session,<br />

students were encouraged to take an on-line test, which was a function of the learning management<br />

system (LMS). Also, weekly confirmation tests with a proctor were conducted to monitor their progress.<br />

Both the final scores of online tests and the weekly confirmation test scores for every module were<br />

recorded and used in determining final grades (Nakayama et al. 2010).<br />

Though students were not obligated to take notes, these were a necessary requirement for answering<br />

questions in online tests. It was also necessary to review notes before joining the weekly confirmation<br />

test sessions in the classroom. The students took notes of the lectures given and the slides presented.<br />

Instructions and guidance were not provided to the participants, in order to maintain the impartiality of<br />

the survey.<br />

2.2 Note-taking assessment<br />

At the weekly test sessions, participants were required to present their notebooks. The lecturer<br />

reviewed and assessed these notes during the test, then returned them to students afterwards.<br />

The contents of the slides presented by the lecturers can be used as a comparison standard for<br />

student’s notes of each module, and can be used to evaluate these notes.<br />

The contents of students' notes were evaluated using a 5-point scale (0-4), 4:Good, 3:Fair, 2:Poor,<br />

1:Delayed, 0:Not presented (Nakayama et al. 2010). If a student reproduced the same information in his<br />

or her notebook, note-taking was rated as ``Fair''. ``Fair'' note-taking is the through reproduction of<br />

information given. If any information was omitted, a “Poor” rating was given. In a sense, ``Poor''<br />

note-takers failed to completely reproduce the information transmitted completely. When students<br />

wrote down additional information from the lecture, the note-taking was rated as ``Good''. The ``Good''<br />

note-takers included those who integrated the knowledge given in the lecture with relevant prior<br />

knowledge (Mayer et al. 1990), as some of this is are related to each other, and some of the knowledge<br />

given in the lecture is related to relevant prior knowledge. At this point, several kinds of constructivistic<br />

learning activities were occurring (Tynajälä 1999; Tam 2000).<br />

The total number of valid participants in the courses was 54.<br />

2.3 Characteristics of students<br />

In this study, student's characteristics were measured using three constructs. These constructs were:<br />

personality (Goldberg 1999; IPIP 2004), information literacy (Fujii 2007) and learning experience<br />

(Nakayama et al. 2007). Personality: A very popular psychological characteristic of humans is<br />

personality. To observe the personalities of students, the International Personality Item Pool (IPIP)<br />

inventory (IPIP 2004) was used. This five factor personality model was proposed by Goldberg<br />

(Goldberg 1999), and provides five component scores: ``Extroversion'', ``Agreeableness'',<br />

``Conscientiousness'', ``Neuroticism'' and ``Openness to Experience''.<br />

Information literacy: Information literacy inventories were defined and developed by Fujii (2007) to<br />

measure information literacy. The survey consists of 32 question items, and 8 factors emerge from<br />

these questions as follows: interest and motivation, fundamental operational ability, information<br />

collecting ability, mathematical thinking (reasoning) ability, information control ability, applied<br />

operational ability, attitude, and knowledge and understanding. These 8 factors can be summarized as<br />

two secondary factors: operational skills and attitudes toward information literacy (Nakayama et al.<br />

2008). The validity of applying this metric to university students has been confirmed (Fujii 2007).<br />

551

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