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Yabing Jiang; Kazuo Nakatani – Journal of Information Systems Education, 2025
This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching. We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI. The results show that students in the experimental group…
Descriptors: Teaching Methods, Technology Integration, Artificial Intelligence, Higher Education
Neelima Bhatnagar; Victoria Causer; Michael J. Lucci; Michael Pry; Dorothy M. Zilic – Information Systems Education Journal, 2024
Data analytics is a rapidly growing field that plays a crucial role in extracting valuable insights from large volumes of data. A data analytics practicum course provides students with hands-on experience in applying data analytics techniques and tools to real-world scenarios. This practicum is intended to serve as a bridge between the student's…
Descriptors: Statistics Education, Data Analysis, Practicums, Education Work Relationship
Leidig, Jonathan P. – Information Systems Education Journal, 2023
Educators are tasked with continually updating course objectives, content, assignments, and assessment to meet model curriculum guidelines. IS2020 proposes program level outcomes for required and elective areas. Two elective areas in IS2020 are Data and Business Analytics and Data and Information Visualization. IS2020 details 14 program level…
Descriptors: Course Objectives, Outcomes of Education, Curriculum Development, Required Courses
Bubica, Nikolina; Boljat, Ivica – Informatics in Education, 2022
The new Croatian Informatics curriculum, which introduces computational thinking concepts into learning outcomes has been put into practice. A computational thinking assessment model reflecting the learning outcomes of the Croatian curriculum was created using an evidence-centered design approach. The possibility of assessing the computational…
Descriptors: Thinking Skills, Foreign Countries, Information Science Education, Computer Science Education
Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
Baham, Corey – Journal of Information Systems Education, 2019
As the most widely used agile software development method, Scrum has become a mainstay in many organizations that develop software. Despite Scrum's popularity, several studies examine Scrum implementations that include some parts of the methodology and exclude others. This paper describes how Scrum has been incorporated into the classroom…
Descriptors: Computer Software, Classroom Techniques, Student Projects, Self Efficacy
Saeli, Mara; Perrenet, Jacob; Jochems, Wim M. G.; Zwaneveld, Bert – Informatics in Education, 2012
In this article we report about a study to assess Dutch teachers' Pedagogical Content Knowledge (PCK), with special focus on programming as a topic in secondary school Informatics education. For this research, we developed an online research instrument: the Online Teacher PCK Analyser (OTPA). The results show that Dutch teachers' PCK scores…
Descriptors: Programming, Pedagogical Content Knowledge, Secondary School Science, Secondary School Teachers