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This content analysis of articles in the Social Science Citation Index journals from 1995 to 2009 was conducted to provide science educators with empirical evidence regarding the effects of scaffolding on science learning. It clarifies the definition, design, and implementation of scaffolding in science classrooms and research studies. The results show important cross-study evidence that most researchers have adopted a qualitative approach (67.44%), focused on learning context (72.09%), and used high school students as participants (53.49%). In designing scaffoldings, researchers have shown a preference for long-term explicit scaffolding using multiple representations to promote procedural and strategic skills and alternative assessments of learner performance. Nevertheless, scaffolding issues related to teacher education are unexpectedly few (11.63%) in empirical research. The results also indicate that there are too few studies to guide researchers in considering fading scaffolds for active learning (9.30%). Future directions and suggestions toward conducting research regarding scaffolding are provided.

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This study aims to identify research trends of scaffolding in the field of science education. To this end, both descriptive analysis and co-word analysis were conducted to examine the selected articles published in the Social Science Citation Index journals from 2000 to 2019. A total of 637 papers were retrieved as research samples through rounds of searching in Web of Science database. Overall, this study reveals a growing trend of science educators' academic publications about scaffolding in the recent two decades. In these sample papers, from 1,487 non-repeated keywords, we extracted 286 author-defined keywords shared by at least two studies as a benchmark dictionary. A series of co-word analyses were then conducted based on the dictionary to reveal the underlying co-occurring relationships of the words in title and abstract of the sample papers. Results showed that “scaffolding,” “support,” and “design” were the top three most frequently used keywords during 2000 and 2019. Visualization of co-word networks in each 5-year period further helps clarify both educators' common research foci and relevant research trends. Derived discussion and potential research directions are also provided.

This article develops a framework for self‐regulated digital learning, which supports for self‐regulated learning (SRL) in e‐learning systems. The framework emphasizes 8 features: learning plan, records/e‐portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each feature facilitates or supports one or more SRL skills, including planning, monitoring and evaluating learning, applying appropriate cognitive strategies, and setting standards of products or performance. The implementation in domain‐general and ‐specific systems as illustrated by web‐based inquiry and problem‐solving are discussed. Examples and learning effects are elicited from the literature to demonstrate various designs. Approaches for designing SRL systems, educational implications, and new directions for future research incorporating SRL into digital learning are presented.