Publication Date
In 2025 | 3 |
Since 2024 | 13 |
Since 2021 (last 5 years) | 22 |
Since 2016 (last 10 years) | 29 |
Since 2006 (last 20 years) | 29 |
Descriptor
Source
Education and Information… | 29 |
Author
Sharma, Bibhya | 2 |
Abari, Kálmán | 1 |
Abdul Razzak, Nina | 1 |
Abebayehu Yohannes | 1 |
Ahmed, Abdulkarim S. | 1 |
Akter, Rokaya | 1 |
Ana Stojanov | 1 |
Anafi, Fatai O. | 1 |
Bako, Raymond B. | 1 |
Ben Kei Daniel | 1 |
Busra Ozmen Yagiz | 1 |
More ▼ |
Publication Type
Journal Articles | 29 |
Reports - Research | 25 |
Information Analyses | 3 |
Tests/Questionnaires | 3 |
Reports - Descriptive | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
California Critical Thinking… | 1 |
Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
Yeni Acosta; Ángel Alsina; Nataly Pincheira – Education and Information Technologies, 2024
This paper provides a longitudinal analysis of the understanding of repetition patterns by 24 Spanish children ages 3, 4 and 5, through representation and the type of justification. A mixed quantitative and qualitative study is conducted to establish bridges between algebraic thinking and computational thinking by teaching repetition patterns in…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, Computation
Kumar, Bimal Aklesh; Sharma, Bibhya; Nakagawa, Elisa Yumi – Education and Information Technologies, 2022
Context-aware mobile learning applications provide learning materials to suit the needs of individual learners. Despite several applications developed, there is a lack of architectural support for developing these applications. This has resulted in a number of challenges; lack of standardization, poor quality of developed applications, and…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Standards
Shu-Chen Cheng; Gwo-Jen Hwang; Chih-Hung Chen – Education and Information Technologies, 2024
Developing students' scientific literacy is the most important educational goal and challenge of the 21st century. Many studies have confirmed that flipped learning has significantly impacted learning science. Researchers indicate that the lack of an appropriate learning guidance strategy in the pre-class stage for flipped learning will influence…
Descriptors: Flipped Classroom, Teaching Methods, Comparative Analysis, Science Instruction
Lung-Chun Chang; Hon-Ren Lin; Jian-Wei Lin – Education and Information Technologies, 2024
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…
Descriptors: Learning Motivation, Outcomes of Education, Anxiety, Programming
Busra Ozmen Yagiz; Ecenaz Alemdag – Education and Information Technologies, 2025
Resilience is a critical personality trait that allows one to deal with difficulties, learn from failures, and maintain a positive attitude during task performance. However, it has not been understudied in a complex and challenging educational domain. The current research intends to address this gap by analyzing the specific characteristics of…
Descriptors: Foreign Countries, Undergraduate Students, Resilience (Psychology), Programming
Kwon, Kyungbin; Cheon, Jongpil; Moon, Hyunchang – Education and Information Technologies, 2021
As computational thinking (CT) gains more attention in K-16 education, problem-solving has been more emphasized as a core competency that can be found across various domains. To develop an evaluation framework that reveals students' problem-solving competency, this study examined solutions for the Bebras Computing Challenge which requires students…
Descriptors: Problem Solving, Competence, Computation, Thinking Skills
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
Abebayehu Yohannes; Hsiu-Ling Chen – Education and Information Technologies, 2024
Flipped learning has attracted increasing attention in all grade levels in recent years and becomes an alternative to the traditional model. Even though there is a large body of research on flipped classrooms, they usually ignore the learning theories that were used to construct the curriculum and instead concentrate on the degree to which using…
Descriptors: Flipped Classroom, Mathematics Education, Engineering Education, Conventional Instruction
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Haipeng Wan; Xue Zhang; Xinxue Yang; Shan Li – Education and Information Technologies, 2024
This study investigated the impact of problematization-oriented scaffolding and structuring-oriented scaffolding, incorporated within instructional videos, on students' computational thinking and their performance in programming education. We recruited 86 participants from three senior classes at a high school. Each of the three classes was…
Descriptors: Scaffolding (Teaching Technique), Instructional Design, Thinking Skills, Computer Science Education
Isabel M. Romero Albaladejo; María del Mar García López – Education and Information Technologies, 2024
The mathematical-related affect research agenda demands studies on the affect-cognition relationship, as well as interventions aimed at improving affective aspects of mathematical learning. The potential of technological environments for promoting cognitive changes in students has been widely informed and there is evidence of their influence in…
Descriptors: Geometry, Mathematics Instruction, Student Attitudes, Computer Software
Eisa Rezaei; Sepide Sadat Beheshti Shirazi – Education and Information Technologies, 2024
Assessment plays a crucial role in the learning process and significantly impacts students' understanding of tasks and their engagement. With the increasing popularity of e-learning, cognitive assessment methods are becoming more prevalent, and they can help develop students' high-order thinking skills (HOTS). Thinking-Aloud Peer Assessment (TAPA)…
Descriptors: Peer Evaluation, Problem Solving, Communication (Thought Transfer), Cognitive Processes
Quadir, Benazir; Mostafa, Kazi; Yang, Jie Chi; Shen, Juming; Akter, Rokaya – Education and Information Technologies, 2023
This study used the ARCS approach to investigate the effects of university students' motivation, including attention, relevance, confidence, and satisfaction, to use the Programming Teaching Assistant (PTA) on their Programming Problem-Solving Skills (PPSS). Previous studies have shown that PTA features enhance learners' programming performance,…
Descriptors: Programming Languages, Computer Science Education, Problem Solving, Student Motivation
Wuwen Zhang; Yurong Guan; Zhihua Hu – Education and Information Technologies, 2024
In the context of our rapidly digitizing society, computational thinking stands out as an essential attribute for cultivating aptitude and expertise. Through the prism of computational thinking, learners are more adeptly positioned to dissect and navigate real-world challenges, poising them effectively to meet the exigencies of future societal…
Descriptors: Active Learning, Student Projects, Computation, Thinking Skills
Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
Previous Page | Next Page »
Pages: 1 | 2