D
Daniel M. Belenky
Researcher at Carnegie Mellon University
Publications - 22
Citations - 558
Daniel M. Belenky is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Collaborative learning & Knowledge transfer. The author has an hindex of 12, co-authored 22 publications receiving 488 citations. Previous affiliations of Daniel M. Belenky include University of Pittsburgh.
Papers
More filters
Journal ArticleDOI
Motivation and Transfer: The Role of Mastery-Approach Goals in Preparation for Future Learning
TL;DR: This paper investigated how students' achievement goals interact with different forms of instruction to promote transfer, defined as preparation for future learning, and found that students who entered the experiment with a high mastery-approach goal orientation would be more likely to transfer, regardless of instruction.
Journal ArticleDOI
The Effects of Idealized and Grounded Materials on Learning, Transfer, and Interest: An Organizing Framework for Categorizing External Knowledge Representations
Daniel M. Belenky,Lennart Schalk +1 more
TL;DR: In this article, the authors place a large and multifaceted research literature into an organizing framework, classifying three categories of external knowledge representations along a dimension of groundedness: idealized, grounded and including only relevant features, and irrelevant features.
Book ChapterDOI
Using an Intelligent Tutoring System to Support Collaborative as well as Individual Learning.
TL;DR: In this paper, the authors compare collaborative and individual methods while receiving instruction on either procedural or conceptual knowledge and find that collaborative groups had the same learning gains as the individual groups in both the procedural and conceptual learning conditions but were able to do so with fewer problems.
Journal ArticleDOI
Coordinating principles and examples through analogy and self-explanation
TL;DR: This paper investigated two instructional pathways hypothesized to facilitate students' learning of domain principles and problem features when studying worked examples and found that self-explanation and analogical comparison can facilitate conceptual learning without decrements to problem solving skills relative to a more traditional type of instruction in a classroom setting.
Journal ArticleDOI
Examining the Role of Manipulatives and Metacognition on Engagement, Learning, and Transfer
TL;DR: Students who were given concrete manipulatives with metacognitive prompts showed better transfer of a procedural skill than students given abstract manipULatives or those given concrete manipulation with problem-focused prompts.