This study examines the effectiveness of three scaffolding conditions on adolescents' learning about the circulatory system with a hypermedia learning environment. One hundred and eleven adolescents (n=111) were randomly assigned to one of three scaffolding conditions (adaptive scaffolding (AS), fixed scaffolding (FS), or no scaffolding (NS)) and were trained to use a hypermedia environment to learn about the circulatory system. Pretest and posttest data were collected to measure the qualitative changes in students' mental models of the topic and quantitative changes in their declarative knowledge. Verbal protocols were collected during the 40-minute learning task to examine how each condition affected the way in which students regulated their learning. Findings revealed that learners in both the AS and NS conditions gained significantly more declarative knowledge than did those in the FS condition. Also, the AS condition was associated with shift in learners' mental models significantly more than the other conditions. Associated with these significant shifts in their mental models, learners in the AS condition regulated their learning by planning and activating prior knowledge, monitoring their cognitive activities and their progress toward learning goals, using several effective strategies, and engaging in adaptive help-seeking. By contrast, those in the NS condition used fewer effective strategies, while those in the FS regulated their learning by using several regulatory processes which seemed to impede their learning. Implications for the design of scaffolds for fostering students' self-regulated learning with hypermedia are presented.

We examined how self-regulated learning (SRL) and externally-facilitated selfregulated learning (ERL) differentially affected adolescents' learning about the circulatory system while using hypermedia. A total of 128 middle-school and high school students with little prior knowledge of the topic were randomly assigned to either the SRL or ERL condition. Learners in the SRL condition regulated their own learning, while learners in the ERL condition had access to a human tutor who facilitated their self-regulated learning. We converged product (pretest-posttest shifts in students' mental models and declarative knowledge measures) with process (think-aloud protocols) data to examine the effectiveness of self-versus externally-facilitated regulated learning. Findings revealed that learners in the ERL condition gained statistically significantly more declarative knowledge and that a greater number of participants in this condition displayed a more advanced mental model on the posttest. Verbal protocol data indicated that learners in the ERL condition regulated their learning by activating prior knowledge, engaging in several monitoring activities, deploying several effective strategies, and engaging in adaptive helpseeking. By contrast, learners in the SRL condition used ineffective strategies and engaged in fewer monitoring activities. Based on these findings, we present design principles for adaptive hypermedia learning environments, engineered to foster students' self-regulated learning about complex and challenging science topics.

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Although computer-based learning environments (CBLEs) are becoming more prevalent in the classroom, empirical research has demonstrated that some students have difficulty learning with these environments. The motivation construct of computer-self efficacy plays an integral role in learning with CBLEs. This literature review synthesizes research that has empirically examined factors related to computer self-efficacy and the relationship between computer self-efficacy, learning outcomes, and learning processes with CBLEs. Results indicate that behavioral and psychological factors are positively related to computer self-efficacy. Students who receive behavioral modeling report significantly higher computer self-efficacy than do students who receive the more traditional instruction-based method when learning with CBLEs. Computer self-efficacy is related both to learning outcomes and to learning processes with CBLEs. This review also offers theoretical and methodological issues for future research in the area of computer self-efficacy.

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