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Steven Sclarow; A. J. Raven; Mart Doyle – Journal of Information Systems Education, 2024
This paper presents field-tested improvements over an 11-year period of a large-scale "Introduction to Information Systems" core business school course and provides a framework for implementation. Engagement and learning in large-scale courses can prove challenging, especially when the class is a requirement within a business school's…
Descriptors: Learning Strategies, Information Systems, Large Group Instruction, Introductory Courses
Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
Maranga, Jemar Jude A.; Matugas, Leilla Keith J.; Lim, Jorge Frederick W.; Romana, Cherry Lyn C. Sta. – International Association for Development of the Information Society, 2019
Teaching an introductory programming course to an average of 40 students while monitoring their performance can be a challenge for instructors. Preparing coding exercises with test cases and checking students' programs can prove to be time consuming at times. Moreover, programming has been known to be quite difficult for students to learn. To…
Descriptors: Online Courses, Programming Languages, Introductory Courses, Computer Science Education
Doehler, Kirsten; Taylor, Laura – International Journal of Mathematical Education in Science and Technology, 2015
This article is based on the experiences of two statistics professors who have taught students to write and effectively utilize code-based software in a college-level introductory statistics course. Advantages of using software and code-based software in this context are discussed. Suggestions are made on how to ease students into using code with…
Descriptors: Computer Software, Programming, Coding, Syntax
Taylor, Blair; Kaza, Siddharth – ACM Transactions on Computing Education, 2016
Despite the critical societal importance of computer security, security is not well integrated into the undergraduate computing curriculum. Security classes and tracks treat security issues as separable topics as opposed to fundamental issues that pervade all aspects of software development. Recently, there has been an increasing focus on security…
Descriptors: Coding, Introductory Courses, Computer Science Education, Programming
Formica, Sarah P.; Easley, Jessica L.; Spraker, Mark C. – Physical Review Special Topics - Physics Education Research, 2010
To determine whether teaching an introductory physics course with a traditional lecture style or with Just-in-Time teaching (a student-centered, interactive-engagement style) will help students to better understand Newtonian concepts, such as Newton's Third Law, 222 students in introductory physics courses taught by traditional lecture styles and…
Descriptors: Physics, Lecture Method, Introductory Courses, Computer Assisted Instruction
Persell, Caroline Hodges; Pfeiffer, Kathryn M.; Syed, Ali – Teaching Sociology, 2007
Sociologists have long reflected on what should be taught in sociology. In recent years, the Scholarship of Teaching and Learning (SoTL) has produced several important publications on key principles and learning goals for the introductory course. However, little current work has systematically examined what peer-recognized leaders in the field…
Descriptors: Introductory Courses, Sociology, Content Analysis, Educational Research
Schweingruber, David; Wohlstein, Ronald T. – Teaching Sociology, 2005
The authors examined the crowd sections of 20 introduction to sociology textbooks, coding them for the presence of seven crowds myths--claims about crowds that have no empirical support and have been rejected by scholars in the field. The number of myths per book ranges from five to one. The authors conclude by making suggestions for rewriting…
Descriptors: Sociology, Introductory Courses, Content Analysis, Coding