抄録
We have introduced pair work to university-level computer literacy education as opposed to the traditional one, standalone teaching. Since 2009, we have performed a survey to establish a pair formation method that optimizes student combinations. Thus far, we have clarified that during pair formation, gender, a gap in basic academic ability, and personality characteristics are more effective indicators compared with typing speed, interest in computers, and computer experience. In this paper, based on the previous research results of more than five years, we propose a new pair combination method that uses three kinds of information which are gender, basic academic ability and personality characteristics, called GAP (Gender, basic Academic ability, and Personality) Method. In 2014, we surveyed for new pair-combination using PS (Personality Score) which has shown personality characteristics and conducted verification experiments for GAP Method in 2015. As a result, it became clear that the pair combination method using GAP Method is higher pair effect than random combined pairs.
