This study extends the work of Park and Ellis (2020) with its use of randomized data in Excel® assignments by incorporating a feedback feature that allows students to check their work before submitting it for grading. Three groups of intermediate accounting students complete identical assignments that vary only in the mode of data delivery. One…

Homework completion is associated with learning achievement, but students' challenges revolve around meeting deadlines and preventing procrastination. Promoting students' self-regulated learning (SRL) can overcome these challenges. We explored the role of SRL (forethought and learning strategies) on the timeliness of homework submissions performed…

In most mathematics textbooks, each lesson is followed by a set of homework problems in one of two ways -- blocked practice and mixed practice. Additionally, most mathematics textbooks rely on a common learning strategy called overlearning, that is, mastering a skill and continuing to practice this same skill. This study investigated the effects…

We design a generative adversarial network (GAN)-based pencil drawing learning system for art education on large image datasets to help students study how to draw pencil drawings for images and scenes. The system generates a pencil drawing result for a natural image based on GAN. The GAN network is trained on pencil drawing big datasets containing…

We examine the effectiveness of a planning prompt intervention to reduce procrastination on online homework for college students. The intervention asked students to indicate their intention to earn small amounts of extra credit for completing assignments earlier and form a plan to realize their intentions. Students' learning behavior is measured…