This study presents a framework that utilizes cognitive and motivational aspects of learning to design an adaptive scaffolding e-learning system. It addresses scaffolding processes and conditions for designing adaptive scaffolds. The features and effectiveness of this adaptive scaffolding e-learning system are discussed and evaluated. An experiment was conducted within the domain of velocity and acceleration. The results revealed that the adaptive scaffolding system appeals to students and promotes improved performances and motivational outcomes. Specifically, the results suggested that learners with lower levels of knowledge who possessed extrinsic motivation benefited the most from the adaptive scaffolds. The implications of the design guidelines for developing personalized, adaptive scaffolding e-learning systems are discussed, and future research directions are recommended.
IntroductionRecently, researchers have called for the use of scaffolding to help students learn complex and abstract knowledge (Azevedo, Cromley, & Seibert, 2004;Ge, Chen, & Davis, 2005; Van den Boom, Paas, Van Merrienboer, & Van Gog, 2004). A major reason for this call is that the development of human cognition is composed of a current level and a potential level, and that in between these is the zone of proximal development (ZPD) (Vygotsky, 1978). After accurately diagnosing students' current skill levels, we use scaffolding to advance their competence and to gradually hand the responsibility for learning to the students (Beed, Hawkins, & Roller, 1991;Wood, Bruner, & Ross, 1976). While several studies have lent support to the beneficial effect of scaffolding on student learning, their results showed that scaffolding must be supportive of students' learning tasks and must be adaptable to students' current level of understanding and affective state so that it can work within the students' prerequisite ZPD's (Chang & Sun, 2009;Rosenshine & Meister, 1992). Adaptive scaffolding reflects evidence that one size does not fit all (Reigeluth, 1996), and implies scaffolding should not only focus on student features such as cognitive status, but psychological traits that affect their learning. While human tutors have been found to be beneficial to students' learning, there is little empirical evidence to address situations in which no human tutor is immediately available (Akbulut & Cardak, 2012). Moreover, the use of scaffolding adaptively to meet the needs of individuals with different levels of prior knowledge, real-world experience, and problem-solving competencies is still limited. Given this research gap, this study proposed an adaptive scaffolding e-learning system that mapped the right type of scaffolding to different learners to maximize the benefits of scaffolding, and conducted a summative evaluation to conclude the effectiveness and efficiency of such a system to students' learning and motivation. The findings of this study sought to contribute to the literature on learning with e-learning systems by demonstrating that externally regulat...