A graph-based data model for API ecosystem insights
Erik Wittern, Jim Laredo, et al.
ICWS 2014
Studies of people learning to use contemporary word-processing equipment suggest that effective learning is often “active,” proceeding by self-initiated problem solving. The instructional manuals that accompany current word-processing systems often penalize and impede active learning. A set of instructional materials was constructed for a commercial word processor, specifically designed to support and encourage an active learning orientation. These “guided exploration” (GE) materials are modular, task oriented, procedurally incomplete, and address error recognition and recovery. Learners using the GE materials spent substantially less time yet still performed better on a transfer of learning posttest than learners using commercially developed self-study materials. Qualitative analysis of aspects of the learning protocols of participants suggested that active learning mechanisms may underlie this advantage. © 1985, Taylor & Francis Group, LLC. All rights reserved.
Erik Wittern, Jim Laredo, et al.
ICWS 2014
Jason Ellis, Catalina Danis, et al.
CHI EA 2006
Cameron S. Miner, Denise M. Chan, et al.
CHI EA 2001
Luís Henrique Neves Villaça, Sean Wolfgand Matsui Siqueira, et al.
SBSI 2023