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Melissa G. Wolf; Daniel McNeish – Grantee Submission, 2023
To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…
Descriptors: Programming Languages, Cutting Scores, Benchmarking, Factor Analysis
Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
Fung, Tze-ho; Li, Wing-yi – Practical Assessment, Research & Evaluation, 2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…
Descriptors: Gifted, Metacognition, Learning Strategies, Programming Languages
Teimourzadeh, Aria; Kakavand, Samaneh; Kakavand, Benjamin – Marketing Education Review, 2023
In the era of big data, many business organizations consider data analytics skills as important criteria in the acquisition of qualified applicants. As numerous managerial decisions in the field of marketing are becoming evidence-based, business schools have integrated case studies about different stages of data analytics such as problem…
Descriptors: Marketing, Teaching Methods, Programming Languages, Data Analysis
Perceived Acceptance and Use of Scratch Software for Teaching Programming: A Scale Development Study
Yildiz, Serife Nur; Ates-Cobanoglu, Alev; Kisla, Tarik – International Journal of Computer Science Education in Schools, 2020
This paper reports the development process of a scale for Information and Communication Technology (ICT) teachers' acceptance and use of Scratch for teaching programming. For early beginners of programming, Scratch is the most popular block-based software for facilitating programming teaching (Zhang and Nouri, 2019) worldwide. Also, in Turkey,…
Descriptors: Programming Languages, Computer Software, Computer Science Education, Technology Integration
Parsazadeh, Nadia; Cheng, Pei-Yu; Wu, Ting-Ting; Huang, Yueh-Min – Journal of Educational Computing Research, 2021
This paper examines a method which can be used by instructors pursuing innovative methods for language teaching, which expands learners' motivation in second language learning. Computational thinking (CT) is a problem-solving skill which can motivate students' English language learning. Designing a learning activity which integrates CT into…
Descriptors: Computation, Problem Solving, Story Telling, Educational Technology
Tsai, Meng-Jung; Wang, Ching-Yeh; Hsu, Po-Fen – Journal of Educational Computing Research, 2019
Computer programming has been gradually emphasized in recent computer literacy education and regarded as a requirement for all middle school students in some countries. To understand young students' perceptions about their own learning in computer programming, this study aimed to develop an instrument, Computer Programming Self-Efficacy Scale…
Descriptors: Programming, Computer Literacy, Middle School Students, Student Attitudes
Mann, Mark D. – Contemporary Issues in Education Research, 2017
In the 21st Century, Educators are called to thinking in broader terms about the purpose of technology in engaging learners to work on tasks that are meaningful to them. Through technology, as described in this paper, the researcher has attempted to broaden student engagement level by developing a more engaging online game framework. The research…
Descriptors: Student Motivation, Computer Games, Learner Engagement, Programming
Akar, Sacide Guzin Mazman; Altun, Arif – Contemporary Educational Technology, 2017
The purpose of this study is to investigate and conceptualize the ranks of importance of social cognitive variables on university students' computer programming performances. Spatial ability, working memory, self-efficacy, gender, prior knowledge and the universities students attend were taken as variables to be analyzed. The study has been…
Descriptors: Individual Differences, Learning Processes, Programming, Self Efficacy
Berland, Matthew; Martin, Taylor; Benton, Tom; Smith, Carmen Petrick; Davis, Don – Journal of the Learning Sciences, 2013
Many have suggested that tinkering plays a critical role in novices learning to program, and recent work in learning analytics (Baker & Yacef, 2009 Blikstein, 2011) allows us to describe new relationships in the process. Using learning analytics, we explore how students progress from exploration, through tinkering, to refinement, a pathway…
Descriptors: Learning Processes, Data Collection, Novices, Females
Gökçe, Semirhan; Yenmez, Arzu Aydogan; Özpinar, Ilknur – International Education Studies, 2017
Recent developments in technology have changed the learner's profile and the learning outcomes. Today, with the emergence of higher-order thinking skills and computer literacy skills, teaching through traditional methods is likely to fail to achieve the learning outcomes. That is why; teachers and teacher candidates are expected to have computer…
Descriptors: Foreign Countries, Undergraduate Students, Mathematics Education, Elementary School Mathematics
Çakiroglu, Ünal – International Review of Research in Open and Distance Learning, 2014
This study examined the relationships among learning styles, study habits, and learning performances in an online programming language course. Sixty-two sophomore students who enrolled in an online introductory programming course participated in the study. Kolb's Learning Style Inventory (LSI) was used to measure the students' learning styles.…
Descriptors: Cognitive Style, Study Habits, Distance Education, Academic Achievement
Lau, Wilfred W. F.; Yuen, Allan H. K. – Journal of Educational Computing Research, 2009
Recent years have seen a shift in focus from assessment of learning to assessment for learning and the emergence of alternative assessment methods. However, the reliability and validity of these methods as assessment tools are still questionable. In this article, we investigated the predictive validity of measures of the Pathfinder Scaling…
Descriptors: Concept Mapping, Student Evaluation, Alternative Assessment, Scaling
Bishop-Clark, Cathy; Courte, Jill; Evans, Donna; Howard, Elizabeth V. – Journal of Educational Computing Research, 2007
In this investigation, the use of the Alice programming language in an introductory computing class was studied from both a quantitative and qualitative perspective. Students in an introductory computing class participated in a 2.5-week unit to learn programming through the graphical programming environment of Alice. Quantitatively, students were…
Descriptors: Measures (Individuals), Computers, Investigations, Essays

Bishop-Clark, Cathy – Journal of Educational Computing Research, 1998
A study of 89 computer programming students in two instructional groups found that those using Visual Basic (VB) mastered programming design concepts as well as those using traditional BASIC. Concludes that VB is an excellent choice for a first programming course (high school or university) emphasizing sequence, selection, iteration, variables,…
Descriptors: Comparative Analysis, Computer Science, Computer Software Development, Design