Information commitments, evaluative standards and information searching strategies in web-based learning evnironments Ying-Tien Wu & Chin-Chung Tsai Institute.

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Information commitments, evaluative standards and information searching strategies in web-based learning evnironments Ying-Tien Wu & Chin-Chung Tsai Institute of Education, National Chiao Tung University Department of Earth Sciences, National Taiwan Normal University Journal of Computer Assisted learning, pp , 2005

Introduction While learners are increasingly taking advantages of the Internet or Web in their learning, some situations are especially worth gaining attention from educators. For example, many learners may lack proper searching strategies to guide their information-searching behaviors efficiently when seeking information on the Internet. And, they depend on the Internet to provide accurate information without carefully ensuring the accuracy of the information they obtain (Metzger et al. 2003). Learners’ information searching strategies on the Internet should be one of the important factors influencing their performances that some studies have been conducted to investigate learners’ searching strategies on the Internet (Hill, 1999; Beaufils 2000; Tsai & Tsai 2003).

Introduction However, it has been found that while learners appreciate the usage of the Internet to provide them with several information resources, the quality of these resources is not necessarily important to them (Metzger et al. 2003). In other words, learners may rely on the Internet for gathering information despite the evidence that it is potentially inaccurate and biased (Brandt 1996; Flanagin & Metzger 2000). Recently, evaluation of information on the Internet has been recognized as an important issue, and some related studies have been conducted (Brandt 1996; Flanagin & Metzger 2000).

Introduction Among these studies, still little research, especially addressing how students evaluate the accuracy and usefulness of Web- based learning materials, has been conducted. In sum, the information-searching strategies and evaluate Web-based information have become two essential issues for this study.

What is “information commitments”? “Information commitments” include both a set of evaluative standards in that Web users utilize to assess the accuracy and usefulness of information in Web-based learning environments and the information-searching strategies that Web users use on the Internet. Tsai (2004a) also pointed out that it was to assume that different evaluative standards would lead to different type of learners’ information-searching strategies on the Web.

What is “information commitments”? Learners’ information commitments include two components: one consists of evaluative standards for Web materials ( the implicit component ), while the other contains learners’ information searching strategies on the Web ( the explicit component ). Tsai (2004) also proposed a theoretical framework for describing Web users’ information commitments, including the following three aspects:

What is “information commitments”? (1) Standards for accuracy The standards in which learners utilize to evaluate the accuracy of Web in formation. The possible categories are ‘multiple sources’ and ‘authority’. Some Web users use ‘ multiple sources ’, such as other websites, prior knowledge, peers or other printed materials, to examine the accuracy of Web information, while others use the ‘ authority’ such as well known, government, and professional (official) websites.

What is “information commitments”? (2) Standards for usefulness To assess the usefulness of Web information. The categories are ‘content’ and ‘technical (functional)’. The ‘ content ’ indicates that the learners use the relevance of Web content as the major standard for evaluating its usefulness, while the ‘ technical (functional) ’ indicates that the learners perceive the technical and functional issues of the Web (e.g., the ease of retrieval, the ease of search or the ease of providing rich information) as major standards for evaluating its usefulness.

What is “information commitments”? (3) Searching strategy Learners use to seek Web information. The categories are ‘exploration’ and ‘match’. The ‘ exploration ’ indicates that learners may have purposeful thinking when navigating in the Web environments, and try to integrate Web information from several websites to find the best fit that fulfils their purpose, while the ‘ match ’ indicates that learners may be eager to match their searching purposes by finding only a few websites that contain the most fruitful and relevant information.

Purposes of the study In their previous study, Wu and Tsai (2005) had developed an ICS (Information Commitment Standards) to assess university students’ information commitments in Web-based learning environments. One of the major purposes of this study was to further confirm the validity and reliability of ICS. Another major purpose of the current study was to examine the possible interplay between learners’ evaluative standards on Web materials and their searching strategies on the Internet. The present study would address the above issue by using structural equation modeling (SEM) techniques. CFA was used in this study to confirm the validity and reliability of ICS.

Research questions On the basis of the ICS developed by Wu and Tsai (2005), the research questions of this study were as follows: (1) Through CFA, is the ICS developed by Wu and Tsai (2005) sufficiently valid and reliable for assessing university students’ information commitments in Web-based learning environments? (2) By SEM analysis, do university students’ evaluative standards utilized to assess the accuracy and the usefulness of Web materials have effects on their searching strategies on the Internet?

Method Sample The participants of this study included 610 volunteer university students with Internet experiences including 395 college students and 215 graduate students (405 males and 205 females).

Instrument

Data analysis The SEM techniques were conducted as the major statistical analysis method in this study. Use LISREL to confirm the validity and reliability of ICS.

Results Convergent validity > 0.5 Reliability > 0.7

Results Assess the accuracy and the usefulness of web materials Assess the information- searching strategy expert learners novice learners

Discussion and conclusion This model indicated that learners’ evaluative standards on Web materials (implicit component) had significant effects on their information-searching strategies in Web-based learning environments (explicit component). Therefore, learners’ evaluative standards on Web materials should be viewed as important predictors for their information- searching strategies in Web-based learning environments. More educators have distinguished students’ learning approaches between deep and surface approaches in a conventional educational context (e.g., Marton 1983; Biggs 1987). The results in this study also showed that ‘exploration’ and ‘match’ were likely two opposite searching strategies.

Discussion and conclusion According to the above results, distinguish students’ searching strategies in processing Web learning task between a deep searching strategy (i.e., ‘exploration’) and a surface searching strategy (i.e., ‘match’). Learners utilizing the deep searching strategy (i.e., ‘exploration’) can be viewed as utilizing the advanced learning strategy, and they may use the deep approach to learning in Web-based academic tasks. The surface searching strategy utilized by learners, i.e., ‘match’, can be viewed as a less sophisticated learning strategy in Web-based academic tasks.

Discussion and conclusion With the implementation of Web-based learning instruction, the significance of learners’ information commitments on their Web-based learning should be highlighted. For example, educators should consider learners’ different information commitments when designing Web-based courses or learning activities. These well-developed evaluative standards may improve learners’ use of advanced information searching strategies, and then help them attain better learning outcomes in Web- based learning environments.