NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 286 to 300 of 731 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Morrison, Briana B.; Margulieux, Lauren E.; Decker, Adrienne – Computer Science Education, 2020
Background and Context: Subgoal labeled worked examples have been extensively researched, but the research has been reported piecemeal. This paper aggregates data from three studies, including data previously unreported, to holistically examine the effect of subgoal labeled worked examples across three student populations and across different…
Descriptors: Computer Science Education, Instructional Materials, Instructional Effectiveness, Problem Solving
De Bruyckere, Pedro; Kirschner, Paul A.; Hulshof, Casper – American Educator, 2020
This article is excerpted from "More Urban Myths about Learning and Education: Challenging Eduquacks, Extraordinary Claims, and Alternative Facts." The authors discuss some of the most often asked questions related to one basic principle in particular: "transfer of learning." Transfer of learning is seen as the use of…
Descriptors: Transfer of Training, Personality Traits, Skill Development, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Tian, Jing; Ren, Chang; Lei, Yingzhe; Wang, Yiheng – Journal of Geography in Higher Education, 2020
Participation of undergraduate students in research helps them nurture critical thinking, develop research skills, enhance self-confidence, and clarify their education or career paths. The curriculum is central to integrating teaching and research, and is a primary source for providing undergraduate research experience. This study designed a…
Descriptors: Foreign Countries, Undergraduate Students, Mathematics Instruction, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Statter, David; Armoni, Michal – ACM Transactions on Computing Education, 2020
Abstraction is one of the most fundamental ideas in computer science (CS), and as such, according to Bruner, it should be taught spirally, starting as early as possible and revisited at every level of education. However, teaching CS abstraction to novices is a very challenging task, and CS educational research has often demonstrated students'…
Descriptors: Middle School Students, Grade 7, Computer Science Education, Abstract Reasoning
Peer reviewed Peer reviewed
Direct linkDirect link
Cullen, Craig J.; Hertel, Joshua T.; Nickels, Megan – Educational Forum, 2020
We review literature relevant to using technology in the teaching/learning of mathematics to highlight four roles of effective technology use: (a) promoting cycles of proof; (b) presenting and connecting multiple representations; (c) supporting case-based reasoning; and (d) serving as a tutee. We then discuss how they intersect with good…
Descriptors: Mathematics Education, Technology Integration, Preservice Teacher Education, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Rich, Kathryn M.; Spaepen, Elizabet; Strickland, Carla; Moran, Cheryl – Interactive Learning Environments, 2020
A key debate in computer science education is whether and how computational thinking (CT) is used within disciplines other than computer science. Broad definitions provide many avenues for developing integrated instruction, as practices within existing activities can simply be reframed in terms of CT. But such general use of the term CT may…
Descriptors: Computer Science Education, Mathematics Education, Mathematics Skills, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Kiliç, Servet; Gökoglu, Seyfullah; Öztürk, Mücahit – Journal of Educational Computing Research, 2021
In this research, a scale was developed to determine the programming-oriented computational thinking skills of university students. The participants were 360 students studying in various departments at different universities in Turkey for computer programming. The scale consists of 33 items under conceptual knowledge, algorithmic thinking, and…
Descriptors: Test Validity, Test Reliability, Test Construction, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2022
Computational thinking (CT) has attracted significant interest among many educators around the globe. Despite this growing interest, research on CT and programming education in elementary school remains at an initial stage. Many relevant studies have adopted only one type of method to assess students' CT, which may lead to an incomplete view of…
Descriptors: Thinking Skills, Computation, Flipped Classroom, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Lovric, Miroslav – PRIMUS, 2018
We discuss teaching and learning situations that surfaced when computer programming and mathematics were brought together in a course where students write computer code to explore mathematics problems. Combining programming and mathematics creates a rich ecosystem which, on top of traditional mathematics activities (writing solutions, proofs,…
Descriptors: Programming, Mathematics Instruction, College Mathematics, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Sucre-Rosales, Estefanía; Fernández-Terán, Ricardo; Carvajal, David; Echevarría, Lorenzo; Hernández, Florencio E. – Journal of Chemical Education, 2020
Herein, we present an experience-based learning approach that uses the COVID-19 pandemics knowledge about virus spread and epidemics to establish an analogy between a simple epidemics model--the SIR model (susceptible--infected--removed), and a second-order autocatalytic reaction with subsequent catalyst deactivation. Our approach provides a…
Descriptors: COVID-19, Pandemics, Communicable Diseases, Microbiology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Baidawi, Muhammad; Pertiwi, Ruvita Iffahtur; Esti, Erna Atiwi Jaya – Anatolian Journal of Education, 2020
This research is motivated by the difficulty of students in expressing economic problems in verbal and linear program languages. It is important to develop a linear program teaching material through realistic mathematic education approach with problem solving strategies with national character. This study aims to describe the needs of students and…
Descriptors: Educational Needs, Mathematical Applications, Mathematics Education, Values Education
Peer reviewed Peer reviewed
Direct linkDirect link
Çiftci, Serdar; Bildiren, Ahmet – Computer Science Education, 2020
Background and Context: There are studies which indicate that computer programming supports high-level abilities for everyone such as creative thinking, questioning, problem solving and critical thinking which are considered within the scope of 21st-century abilities. Objective: The current experimental study was carried out to put forth the…
Descriptors: Outcomes of Education, Coding, Cognitive Ability, Problem Solving
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chen, Yen Tzu; Liu, Che-Hung; Lee, Chih Yu – Education Quarterly Reviews, 2021
This study used CodeMonkey, an online learning platform through which elementary teachers can learn programming while playing games and experience how to integrate STEM into their courses. The study analyzed and examined their experiences using a qualitative research method. According to the research results, learning programming while playing…
Descriptors: Game Based Learning, Computer Games, Computer Science Education, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
Peer reviewed Peer reviewed
Direct linkDirect link
Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
Pages: 1  |  ...  |  16  |  17  |  18  |  19  |  20  |  21  |  22  |  23  |  24  |  ...  |  49