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This study investigated the dimensions of self-exploration in Web-based learning environments using an attitude survey given to 209 college students. Through factor analysis, five dimensions of self-exploration in Web-based learning environments were identified. One-way analysis of variance revealed statistically significant differences in levels of self-exploration in three dimensions by gender and in four dimensions by native English speaking ability. Understanding the dimensions of self-exploration in Web-based learning environments among college students may help educators (1) design effective Web-based instructional materials, (2) identify Web resources that draw on students’ learning needs and interests, and (3) consider different interests of students who speak English as a second language.
Wang et al. (Fri,) studied this question.
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