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Sharon Gumina; Karen Patten; John Gerdes – Education and Information Technologies, 2024
This paper is an experiential report describing the faculty and student experiences and knowledge gained from developing an Internet of Things (IoT) course within an Information Technology (IT) Department at a large southeastern United States public university. The paper contributes insights gained developing the introductory IoT course, and it…
Descriptors: Internet, Information Technology, Computer Science Education, Public Colleges
Claudio Alvarez; Maira Marques Samary; Alyssa Friend Wise – Journal of Computing in Higher Education, 2024
Computer programming is a skill of increasing importance in scientific and technological fields. However, in introductory computer science (CS1) courses in higher education, approximately one in every three students fails. A common reason is that students are overwhelmed by an accelerated and inflexible pace of learning that jeopardizes success.…
Descriptors: Mastery Learning, Computer Science Education, Programming, Action Research
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
Lakshminarayanan, Srinivasan; Rao, N. J. – Cogent Education, 2021
CS1 courses are designed in Indian Institutions as a lecture course of three to four credits and one credit lab course. The issues related to curriculum design, instruction design, and students' learning manifest themselves as issues in the lab programs. This situation presents the lab instructor with an opportunity to understand and address the…
Descriptors: Computer Science Education, Teaching Methods, Programming, Programming Languages
Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Xie, Benjamin; Loksa, Dastyni; Nelson, Greg L.; Davidson, Matthew J.; Dong, Dongsheng; Kwik, Harrison; Tan, Alex Hui; Hwa, Leanne; Li, Min; Ko, Andrew J. – Computer Science Education, 2019
Background and Context: Current introductory instruction fails to identify, structure, and sequence the many skills involved in programming. Objective: We proposed a theory which identifies four distinct skills that novices learn incrementally. These skills are tracing, writing syntax, comprehending templates (reusable abstractions of programming…
Descriptors: Programming, Skill Development, Computer Science Education, Instructional Design
Bratt, Sharon; Hodgins, Liam – Journal of Educational Multimedia and Hypermedia, 2019
The purpose of this study was to assess the efficacy of the design of a first year introduction to digital fluency course primarily for a library and information technology cohort at a Canadian university using an educational action research method and apply the findings to the second "question-plan-observe-evaluate" cycle of the action…
Descriptors: Technological Literacy, Course Descriptions, Introductory Courses, Information Technology
Nainan, Mariam; Balakrishnan, Balamuralithara – Malaysian Online Journal of Educational Technology, 2019
Studying worked examples has been found to be effective for learning problem solving, especially among students. However, students need to actively process example content to benefit from it and content must be structured in a manner that facilities knowledge construction. This study investigated the use of worked examples for teaching and…
Descriptors: Computer Science Education, Demonstrations (Educational), Programming, Introductory Courses
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Sharma, Madhav; Biros, David; Ayyalasomayajula, Surya; Dalal, Nikunj – Journal of Information Systems Education, 2020
Teaching introductory programming to IS students is challenging. The educational, technological, demographic, and cultural landscape has changed dramatically in recent years. The post-millennial generation has different needs and expectations in an era of open resources. Learning to program is perceived as difficult, teaching approaches are…
Descriptors: Introductory Courses, Programming, Computer Science Education, Undergraduate Students
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
McGowan, Ian S. – International Association for Development of the Information Society, 2016
Built on Dabbagh (2005), this paper presents a four component theory-based design framework for an e-learning session in introductory computer programming. The framework, driven by a body of exemplars component, emphasizes the transformative interaction between the knowledge building community (KBC) pedagogical model, a mixed instructional…
Descriptors: Computer Science Education, Programming, Electronic Learning, Instructional Design
Wang, Yanqing; Huang, Xinzhuo; Schunn, Christian Dieter; Zou, Yan; Ai, Wenguo – Higher Education: The International Journal of Higher Education Research, 2019
To maximize learners' performance promotion in flipped classroom, this research redesigns a flipped classroom with four integrated practices: speed response questions, teacher face-to-face counselling, independent practices and team projects. Using questionnaire (N = 66) and interview (N = 20) data, the model is tested in two undergraduate…
Descriptors: Blended Learning, Student Centered Learning, Student Attitudes, Instructional Design
Packard, Becky Wai-Ling; Solyst, Jaemarie; Pai, Anisha; Yu, Lu – Journal of College Science Teaching, 2020
While research has demonstrated the links between active learning and student success, lecture remains a dominant instructional method within introductory STEM courses. In this project, we used the strategy of enlisting peer mentors to develop and facilitate active learning modules within introductory computer science. First, we describe the…
Descriptors: Active Learning, Learning Modules, Student Developed Materials, Self Efficacy