TY - GEN
T1 - Synthesis of social media messages and tweets as feedback medium in introductory programming
AU - Kabaso, Sonny
AU - Ade-Ibijola, Abejide
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Social Media have been recognised as supportive tools in education for creating benefits that supplement students’ collaboration, class interactions, as well as communication between instructors and students. Active informal interaction and feedback between instructors and students outside class belong to the main reasons behind social media pedagogy. Despite the prevalence of traditional email methods of providing feedback to students, the literature shows that they do not check their emails as frequently as they check their social media accounts. In this paper we present the automatic generation of feedback messages and tweets with context-free grammars (CFG). Our system takes a class list of students and their mark sheets and automatically composes Twitter tweets concerning statistical ‘fun facts’ about programming problems, exercises, class performances, as well as private messages about individual student performances. A survey with 116 participating students showed that the majority of them would like to receive such notifications on social media rather than emails. Lecturers found our system promising, too.
AB - Social Media have been recognised as supportive tools in education for creating benefits that supplement students’ collaboration, class interactions, as well as communication between instructors and students. Active informal interaction and feedback between instructors and students outside class belong to the main reasons behind social media pedagogy. Despite the prevalence of traditional email methods of providing feedback to students, the literature shows that they do not check their emails as frequently as they check their social media accounts. In this paper we present the automatic generation of feedback messages and tweets with context-free grammars (CFG). Our system takes a class list of students and their mark sheets and automatically composes Twitter tweets concerning statistical ‘fun facts’ about programming problems, exercises, class performances, as well as private messages about individual student performances. A survey with 116 participating students showed that the majority of them would like to receive such notifications on social media rather than emails. Lecturers found our system promising, too.
KW - Context-free grammar
KW - Introductory programming
KW - Procedural generation
KW - Social media
KW - Tweet synthesis
UR - http://www.scopus.com/inward/record.url?scp=85076714165&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-35629-3_1
DO - 10.1007/978-3-030-35629-3_1
M3 - Conference contribution
AN - SCOPUS:85076714165
SN - 9783030356286
T3 - Communications in Computer and Information Science
SP - 3
EP - 16
BT - ICT Education - 48th Annual Conference of the Southern African Computer Lecturers’ Association, SACLA 2019, Revised Selected Papers
A2 - Tait, Bobby
A2 - Kroeze, Jan
A2 - Gruner, Stefan
PB - Springer
T2 - 48th Annual Conference of the Southern African Computer Lecturers' Association, SACLA 2019
Y2 - 15 July 2019 through 17 July 2019
ER -