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Liu, Yi-Chun; Wang, Wei-Tsong; Huang, Wen-Hsin – Education and Information Technologies, 2023
Prior research has demonstrated the advantages of applying mobile game-based learning (MGBL) applications to supporting students' learning. However, studies that specifically examine the effects of game quality and different types of cognitive loads on learning effectiveness in MGBL contexts are scarce. Therefore, this study aims to address this…
Descriptors: Video Games, Cognitive Processes, Difficulty Level, Academic Achievement
Shin, Yoonhee; Jung, Jaewon; Zumbach, Joerg; Yi, Eunseon – Journal of Educational Computing Research, 2023
This study explores the effects of worked-out examples and metacognitive scaffolding on novice learners' knowledge performance, cognitive loads, and self-regulation skills in problem-solving programming. 126 undergraduate students in a computer programming fundamentals course were randomly assigned to one of four groups: (1) task performance with…
Descriptors: Problem Solving, Metacognition, Scaffolding (Teaching Technique), Programming
Frede, Christiane; Knobelsdorf, Maria – Computer Science Education, 2021
Background and Context: Considerable numbers of Computer science (CS) undergraduate majors struggle in Theory of Computation (ToC) courses, which strengthen bimodality beliefs of student performance. Reasons for students struggling are assumed to be manifold but substantial ground is based on studies providing singular insights into this matter.…
Descriptors: Computer Science Education, Academic Achievement, Introductory Courses, Computation
Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2023
Reintroducing computer science (CS) education in K-12 schools to promote computational thinking (CT) has attracted significant attention among scholars and educators. Among the several essential components included in CS and CT education, program debugging is an indispensable skill. However, debugging teaching has often been overlooked in K-12…
Descriptors: Flipped Classroom, Error Correction, Elementary School Students, Programming
Unal, Alper; Topu, Fatma Burcu – Education and Information Technologies, 2021
In this study, based on quasi-experimental research, was investigated the effects of teaching Python programming language via Blockly tool, which had hybrid interface, on students' computer programming anxiety, cognitive load level, and achievement. Participants were 90 high school students, 44 of them in experimental group (hybrid interface) and…
Descriptors: Instructional Effectiveness, Computer Science Education, Computer Interfaces, Programming Languages
Jones, Brett D.; Ellis, Margaret; Gu, Fei; Fenerci, Hande – International Journal of STEM Education, 2023
Background: The motivational climate within a course has been shown to be an important predictor of students' engagement and course ratings. Because little is known about how students' perceptions of the motivational climate in a computer science (CS) course vary by sex, race/ethnicity, and academic major, we investigated these questions: (1) To…
Descriptors: Student Motivation, Computer Science Education, Gender Differences, Racial Differences
Uca Özturk, Fatma; Özdemir, Muzaffer; Özbasi, Durmus – Educational Policy Analysis and Strategic Research, 2021
This study aims to reveal how project-based teaching method affects students' achievement, cognitive load and behaviors in programming teaching. In the study, the pretest-posttest, unequaled control group quasi-experimental model, which is one of the experimental models, was used. The participants of the study were sixth grade students who take…
Descriptors: Active Learning, Student Projects, Programming, Computer Science Education
Demir Kaymak, Zeliha; Akgün, Özcan Erkan – Malaysian Online Journal of Educational Technology, 2019
The purpose of this research is to investigate the effects of using cloud computing technologies, study type and task difficulty on cognitive load and students' performance. The research was conducted as 2x2x2 complex mixed design. The two experiment groups are the first factor of design. In the first experiment group students used non…
Descriptors: Cognitive Ability, Computer Software, Task Analysis, Difficulty Level
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Petrovic, J.; Pale, P.; Jeren, B. – Education and Information Technologies, 2017
This study aimed to investigate the effects of using online formative assessments on students' learning achievements. Using a quasi-experimental study design with one control group (no formative assessments available), and two experimental groups receiving feedback in available online formative assessments (knowledge of the correct response--KCR,…
Descriptors: Computer Assisted Testing, Formative Evaluation, Feedback (Response), Difficulty Level
Uysal, Murat Pasa – Turkish Online Journal of Distance Education, 2013
Teaching object-oriented programming (OOP) is a difficult task, especially to the beginners. First-time learners also find it difficult to understand. Although there is a considerable amount of study on the cognitive dimension, a few study points out its physiological meaning. Moreover, it has been suggested that neuroscientific studies and…
Descriptors: Cognitive Measurement, Cognitive Processes, Difficulty Level, Programming
Méndez, Gonzalo; Ochoa, Xavier; Chiluiza, Katherine; de Wever, Bram – Journal of Learning Analytics, 2014
Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…
Descriptors: Data Analysis, Data Collection, Educational Research, Curriculum Design
Akbiyik, Cenk – Educational Technology & Society, 2012
Throughout this study, tutorial and demonstration methods in photo editing instruction were compared. The instruction method was the independent variable of the study while cognitive load, state anxiety level, student performance, student achievement, and task duration were dependent variables. The research was conducted with 62 undergraduate…
Descriptors: Foreign Countries, Computer Assisted Instruction, Educational Technology, Computer Science Education
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Mascia, Maria Lidia, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers of the 16th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019), held during November 7-9, 2019, which has been organized by the International Association for Development of the Information Society (IADIS) and co-organised by University Degli Studi di Cagliari, Italy.…
Descriptors: Teaching Methods, Cooperative Learning, Engineering Education, Critical Thinking
Garner, Stuart – Journal of Information Technology Education, 2009
This paper reports on the findings from a quantitative research study into the use of a software tool that was built to support a part-complete solution method (PCSM) for the learning of computer programming. The use of part-complete solutions to programming problems is one of the methods that can be used to reduce the cognitive load that students…
Descriptors: Control Groups, Academic Achievement, Computer Software, Statistical Analysis
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