NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Haseski, Halil Ibrahim – International Journal of Computer Science Education in Schools, 2019
The aim of the present study was to determine the views of pre-service teachers on artificial intelligence. In the present qualitative study, conducted with the phenomenology design, that data were collected from 94 pre-service teachers attending different departments at Manisa Celal Bayar University, Faculty of Education during the 2018- 2019…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Altiok, Serhat; Yükseltürk, Erman – International Journal of Computer Science Education in Schools, 2018
The purpose of the study is to analyze pre-service IT teachers' views on a five day seminar which is related to current methodologies and tools in K-12 computer programming education. The study sample consisted of 44 pre-service IT teachers who study as 3rd or 4th undergraduate program at Department of Computer Education and Instructional…
Descriptors: Preservice Teachers, Information Technology, Student Attitudes, Programming
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2017
Understanding the students' programming misconceptions is critical in that it identifies the reasons why students make errors in programming and allows instructors to design instructions accordingly. This study investigated the mental models of programming concepts held by pre-service teachers who were novice programmers. In an introductory…
Descriptors: Programming, Novices, Misconceptions, Instructional Design