In this paper we describe computer-supported structured cooperative learning, applied to the laboratories of an introductory CS1 course. We extended IMINDS, a multiagent system that supports student-teacher and student-student realtime interactions, to support a cooperative learning paradigm called Jigsaw. Jigsaw considers of several phases of activities, including dividing students into differ...

This study explored the autonomy of advanced English as a Foreign Language (EFL) learners in reading comprehension through scaffolding and jigsaw in computer-assisted and conventional contexts. After being homogenized through the reading section of DIALANG proficiency test, a total of 80 female advanced EFL learners with the age range of 21 to 45 were selected as the participants of the study. ...

Using memoization and various other optimization techniques, the number of dissections of the n × n square into n polyominoes of size n is computed for n ≤ 8. On this task our method outperforms Donald Knuth’s Algorithm X with Dancing Links. The number of jigsaw sudoku puzzle solutions is computed for n ≤ 7. For every jigsaw sudoku puzzle polyomino cover with n ≤ 6 the size of its smallest crit...

A web application often includes content from a variety of origins. Securing such a mashup application is challenging because origins often distrust each other and wish to expose narrow interfaces to their private code and data. Jigsaw is a new framework for isolating these mashup components. Jigsaw is an extension of the JavaScript language that can be run inside standard browsers using a Jigs...

A novel method for assembling multiple DNA origami structures has been developed by using designed 2D DNA origami rectangles, so-called "DNA jigsaw pieces" that have sequence-programmed connectors. Shape and sequence complementarity were introduced to the concavity and convex connectors in the DNA rectangles for selective connection with the help of nonselective pi-stacking interactions between...

In this paper, we explore methods of complicating selfsupervised tasks for representation learning. That is, we do severe damage to data and encourage a network to recover them. First, we complicate each of three powerful self-supervised task candidates: jigsaw puzzle, inpainting, and colorization. In addition, we introduce a novel complicated self-supervised task called “Completing damaged jig...

This paper proposes an algorithm for solving subsets of typical (canonical) jigsaw puzzles. This algorithm combines shape and image matching with a cyclic ‘‘growth’’ process that tries to place pieces in their correct positions. First, the jigsaw pieces are extracted from the input image. Then, the corner points of the jigsaw pieces are detected. Next, piece classification and recognition are p...

This study explored the effect of input vs. collaborative output tasks on Iranian EFL learners’ grammatical accuracy and their willingness to communicate (WTC). In so doing, the study utilized 3 input (i.e., textual enhancement, processing instruction, and discourse) and 3 collaborative output (i.e., dictogloss, reconstruction cloze task, and jigsaw) tasks and compared their effects on 5 Englis...

Evaluation and validation of homology modeling protocols are indispensable for membrane proteins as experimental determination of their three-dimensional structure is an arduous task. The prediction ability of Modeller, MOE, InsightII-Homology and Swiss-PdbViewer (SPV) with different sequence alignments CLUSTALW, BLAST and 3D-JIGSAW have been assessed. The sequence identity of the target and te...