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Mara Kirdani-Ryan; Amy J. Ko – ACM Transactions on Computing Education, 2024
For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…
Descriptors: Neurodevelopmental Disorders, Stereotypes, Disabilities, Computer Attitudes
ChanMin Kim; Brian R. Belland; Lucas Vasconcelos; Roger B. Hill – SAGE Open, 2024
In this qualitative study, preservice early childhood education teachers created block-based code to control robots and used the robots in field experience at local preschools. The study is grounded in a conceptual framework that weaves together playful programing and resilience, interlocking concepts that can explain sustained engagement during…
Descriptors: Play, Resilience (Psychology), Preservice Teachers, Computer Science
Sabir, Fizza; Matthews, Robert; Datta, Poulomee – Curriculum and Teaching, 2021
This research examines the student perceived characteristics informing a student's choice in deciding to approach or not to approach a teacher in a university setting. Semi-structured interviews gathered perceptions from 10 final semester undergraduate students at a Pakistani university. 12 teachers were discussed in the data clearly demarcating 7…
Descriptors: Undergraduate Students, Student Attitudes, College Faculty, Teacher Characteristics
Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
Wilinski, Antoni; Kupracz, Lukasz – Informatics in Education, 2020
The aim of the article is to determine in the studied groups the multiple intelligence distribution defined in the 1980s by Howard Gardner. The research was conducted in three groups of respondents. The first study group was first-year students of computer science, the second was master (2nd degree) students, educationally 4 years older than the…
Descriptors: Multiple Intelligences, Intelligence Tests, College Freshmen, Graduate Students
Ran Wei – Cogent Education, 2024
The utilisation of the RIASEC Theory, based on the Holland Code, has gained substantial popularity in the realm of career planning. Nevertheless, only a limited number of studies have explored the potential influence of the six personality types identified in the Realistic-Investigative-Artistic-Social-Enterprising-Conventional Theory (RIASEC…
Descriptors: Foreign Countries, Undergraduate Students, Educational Theories, Career Choice
Bushmeleva, Natalia A.; Isupova, Natalya I.; Mamaeva, Ekaterina A.; Kharunzheva, Elena V. – European Journal of Contemporary Education, 2020
The problem of the research is due to the need to create a special engineering style of thinking within the digital educational space, which implies readiness for research, creativity, responsibility, and supported by modern high-tech tools in order to provide resources for solving the problems of Industry 4.0. The purpose of the study is to…
Descriptors: Engineering Education, Thinking Skills, Creativity, Information Technology
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Cheah, Chin Soon – Contemporary Educational Technology, 2020
This paper reviews the literature relating to the factors that contribute to the difficulties in learning of computer programming. Programming has been a difficult subject to learn and master even at the early stage of education. It has been a global problem and continues to worsen at the local level. Although, there are many education tools…
Descriptors: Difficulty Level, Programming, Computer Science Education, Educational Research
Rohde, Jacqueline; Musselman, Lisa; Benedict, Brianna; Verdin, Dina; Godwin, Allison; Kirn, Adam; Benson, Lisa; Potvin, Geoff – IEEE Transactions on Education, 2019
Contribution: This paper found that design experiences can foster engineering identity and belongingness for early career electrical and computer engineering students. Students had different interpretations of what it meant to be an engineer (identity) and their belongingness in engineering. This paper provides novel insights into how students may…
Descriptors: Design, Engineering Education, Self Concept, Engineering
Reynolds, John H.; Adams, D. Robert; Ferguson, Roger C.; Leidig, Paul M. – Information Systems Education Journal, 2017
For the past several years, there has been an increase in the number of job opportunities in the computing field. As a result, many schools and universities are facing a significant increase in the number of students seeking to major in one of several computing disciplines. This increase in the numbers and variety of majors in the computing field…
Descriptors: Personality Traits, Majors (Students), Computer Science Education, Higher Education
Toward Increased Retention in University Computer Science Programs a Language Socialization Approach
Green, Caitlin Moriah – ProQuest LLC, 2018
This dissertation is a mixed-methods ethnographic study of students in the introductory class in the Engineering & Computer Science (ECS) department at University of California, Davis (UC Davis). I collected audio-recorded natural speech and questionnaire data from students attending this course during two academic quarters, Fall 2016 and…
Descriptors: Computer Science Education, Metalinguistics, Ethnography, Introductory Courses
Fatahi, Somayeh; Moradi, Hadi; Farmad, Elaheh – International Association for Development of the Information Society, 2015
Learning Style (LS) is an important parameter in the learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments. Consequently, an important capability of an e-learning system could be the automatic determination of a student's learning style. In this paper, a set of…
Descriptors: Foreign Countries, Cognitive Style, Electronic Learning, Student Behavior
Pertegal-Felices, María L.; Castejón-Costa, Juan L.; Jimeno-Morenilla, Antonio – Studies in Higher Education, 2014
The evidence suggests that emotional intelligence and personality traits are important qualities that workers need in order to successfully exercise a profession. This article assumes that the main purpose of universities is to promote employment by providing an education that facilitates the acquisition of abilities, skills, competencies and…
Descriptors: Engineering Education, Computer Science Education, Intellectual Disciplines, Comparative Analysis
Ezen-Can, Aysu; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2015
The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Science Education, Problem Solving
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