Imagery training in the teaching of the data structure curriculum

Rui, Deng; Thompson, John T.; Hong, Yang; Xing-sheng, Zhou; Liu, Kejing; Macintyre, Neil Alexander

doi:10.1145/1473195.1473229

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…For better learning of students, abstract concepts can be imparted using visualizations [14]. Thus animations can be developed to aid understanding of complex concepts such as Dijkstra algorithm.…”

Section: Related Workmentioning

confidence: 99%

Teaching Data Structures through Group Based Collaborative Peer Interactions

Nazir

Naicken

Paterson

2019

Proceedings of the 8th Computer Science Education Research Conference

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Data structures and algorithms is an important subject in Computer Science curriculum and builds upon the programming concepts learned by the students in their earlier courses. However, the abstract nature of the concepts can often be difficult for students to grasp. This problem becomes aggravated in an international setting with students from diverse academic backgrounds, resulting in some students losing interest and failing to follow along.This paper describes our novel approach to teach data structures for Computing undergraduates from 30 African countries at a college in Mauritius in partnership with a UK university. The blended learning program uses as a student led "flipped classroom" approach, requiring students to view lecture and supporting material online prior to engaging in on-campus seminar session with the tutor.Peer instruction is a key component of the flipped approach. In seminars, students worked on group based problem-solving activities in data structures supported by the tutor. The students devised their solutions on white boards taking ownership of the problem, became motivated to discuss their ideas freely, and to select a group solution. The group solutions were then shared with the other groups and peer reviewed, led by the tutor. This collaborative learning environment was observed to facilitate healthy discussions, and students' contributions and performance in later assessments offered evidence of understanding of core subject concepts. CCS CONCEPTS• Social and professional topics → Computing education.

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Section: Related Workmentioning

confidence: 99%

Teaching Data Structures through Group Based Collaborative Peer Interactions

Nazir

Naicken

Paterson

2019

Proceedings of the 8th Computer Science Education Research Conference

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A study on the cognitive style of software developers

Rui¹,

She²,

Zhao³

et al. 2011

ACM Inroads

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Excellent software developers displayed outstanding colony characteristics in the cognitive style. It's assumed that the software developers preferred certain dimensions of the cognitive style, and then four specific sub-tests are defined after the modification according to Riding's testing mode named Cognitive Style Analysis System. Testees were divided into Group A (software developers) and Group B (common testees). The system recorded the score and reaction time of the testees for each test during the survey. The studies show that, compared to the common testees, software developers' verbal/imagery dimension of the cognitive style belongs to the significant imagery preference. As to wholist/analytic dimension, software developers are wholist style but non-significant.

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Imagery training in the teaching of the data structure curriculum

Cited by 2 publications

References 13 publications

Teaching Data Structures through Group Based Collaborative Peer Interactions

Teaching Data Structures through Group Based Collaborative Peer Interactions

A study on the cognitive style of software developers

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