Students’ Engagement with Podcast during Lockdown – An Analysis of Interaction Footprints in a Computer Science Course

Potential Impact

This paper addresses a remote teaching activity that consists, for students, in being exposed to podcasts instead of classic face-to-face theoretical lessons. In particular, the paper discusses potential impact of podcasts on students’ engagement in an introductory Computer Science course.

Collaborative learning in an introductory computer science course

ACM SIGCSE Bulletin ◽

10.1145/191033.191156 ◽

1994 ◽

Vol 26 (1) ◽

pp. 304-308 ◽

Author(s):

Roberta Evans Sabin ◽

Edward P. Sabin

Keyword(s):

Collaborative Learning ◽

Computer Science ◽

Evaluating the Impact of Adaptive Parsons Problems on Students in Introductory Computer Science Courses

Proceedings of the 51st ACM Technical Symposium on Computer Science Education ◽

10.1145/3328778.3372640 ◽

2020 ◽

Author(s):

Mansi Shah ◽

Daniel D. Garcia

Keyword(s):

Computer Science ◽

Science Courses ◽

Computer Science Courses ◽

The Impact

FORTRAN: a viable option for the introductory computer science course

ACM SIGPLAN Notices ◽

10.1145/24697.24708 ◽

1987 ◽

Vol 22 (3) ◽

pp. 102-110

Author(s):

T A LePera ◽

H E Donley

Keyword(s):

Computer Science ◽

Viable Option ◽

Active and Collaborative Learning Based Dynamic Instructional Approach in Teaching Introductory Computer Science Course with Python Programming

2020 IEEE Integrated STEM Education Conference (ISEC) ◽

10.1109/isec49744.2020.9280598 ◽

2020 ◽

Author(s):

Md Mahmudur Rahman ◽

Monir H. Sharker ◽

Roshan Paudel

Keyword(s):

Collaborative Learning ◽

Computer Science ◽

Instructional Approach ◽

Active And Collaborative Learning ◽

Python Programming

Competency testing in introductory computer science

ACM SIGCSE Bulletin ◽

10.1145/323275.323387 ◽

1985 ◽

Vol 17 (1) ◽

pp. 240 ◽

Author(s):

Jacabo Carrasquel

Keyword(s):

Computer Science ◽

Competency Testing ◽

Anatomy of an introductory computer science course

ACM SIGCSE Bulletin ◽

10.1145/953055.5708 ◽

1986 ◽

Vol 18 (1) ◽

pp. 257-264 ◽

Author(s):

Peter B. Henderson

Keyword(s):

Computer Science ◽

Identifying students who may experience difficulty in an introductory computer science course

Proceedings of the 28th annual Southeast regional conference on - ACM-SE 28 ◽

10.1145/98949.98988 ◽

1990 ◽

Cited By ~ 2

Author(s):

Ted W. Goodman

Keyword(s):

Computer Science ◽

Experience Difficulty

Proceedings of the First International Conference on Gameful Design, Research, and Applications - Gamification '13 ◽

Gamification and serious game approaches for introductory computer science tablet software

10.1145/2583008.2583015 ◽

2013 ◽

Author(s):

Kevin Browne ◽

Christopher Anand

Keyword(s):

Computer Science ◽

Serious Game ◽

Proceedings of the twenty-eighth SIGCSE technical symposium on Computer science education - SIGCSE '97 ◽

Women in introductory computer science

10.1145/268084.268128 ◽

1997 ◽

Cited By ~ 2

Author(s):

Judy Brown ◽

Peter Andreae ◽

Robert Biddle ◽

Ewan Tempero

Keyword(s):

Computer Science ◽

A virtual lab model for an introductory computer science course

Facta universitatis - series Electronics and Energetics ◽

10.2298/fuee0502263k ◽

2005 ◽

Vol 18 (2) ◽

pp. 263-274 ◽

Cited By ~ 1

Author(s):

Ioanna Kantzavelou

Keyword(s):

Computer Science ◽

Virtual Laboratory ◽

Abstract Concepts ◽

Specific Topic ◽

Preliminary Results ◽

Virtual Lab ◽

Proposed Model ◽

Partial Implementation

This paper presents a model of a virtual laboratory for an introductory computer science course. The proposed model aims at solving a number of problems involved in the educational procedure of such a course. The model architecture consists of seven modules, each one corresponds to a specific topic of the course. Every module provides several different services in order to assist students to assimilate theory with practical exercises. Preliminary results of partial implementation of the proposed model, show the solution of some problems and better understanding of abstract concepts.