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Shu-Hsuan Chang; Po-Jen Kuo; Jia Xin Kao; Lee-Jen Yang – Interactive Learning Environments, 2024
With the development of education technology, Smart classroom has evolved to version 2.0. Currently, the meta-analysis literature on the effects of smart classroom-based instruction on academic achievement ignores the impact of technological changes and time on the effect sizes. This study incorporated the impact of technological changes and time,…
Descriptors: Educational Technology, Technology Integration, Instructional Effectiveness, Academic Achievement
Regina Célia Coelho; Matheus F. P. Marques; Tiago de Oliveira – Informatics in Education, 2023
Learning programming logic remains an obstacle for students from different academic fields. Considered one of the essential disciplines in the field of Science and Technology, it is vital to investigate the new tools or techniques used in the teaching and learning of Programming Language. This work presents a systematic literature review (SLR) on…
Descriptors: Electronic Learning, Programming, Computer Science Education, Logical Thinking
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
Brianza, Eliana; Schmid, Mirjam; Tondeur, Jo; Petko, Dominik – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
The technology, pedagogy, and content knowledge (TPACK) framework describes seven domains of knowledge that teachers rely on for teaching with technology. The framework includes an eighth element labelled "contexts," representing the situated nature of instruction. This latter construct has been inconsistently represented and defined…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Research Reports, Teaching Methods
Chan, Shiau-Wei; Looi, Chee-Kit; Ho, Weng Kin; Kim, Mi Song – Journal of Educational Computing Research, 2023
The importance of computational thinking (CT) as a 21st-century skill for future generations has been a key consideration in the reforms of many national and regional educational systems. Much attention has been paid to integrating CT into the traditional subject classrooms. This paper describes a scoping review of learning tools for integrating…
Descriptors: Thinking Skills, 21st Century Skills, Teaching Methods, Research Reports
Juliana E. Raffaghelli; Bonnie Stewart – OTESSA Conference Proceedings, 2021
In the higher education context, an increasing concern on the technical or instrumental approach permeates attention to academics' data literacies and faculty development. The need for data literacy to deal specifically with the rise of learning analytics in higher education has been raised by some authors, though in spite of some focus on the…
Descriptors: Statistics Education, Faculty Development, Higher Education, Learning Analytics

Gutstein, Eric; Romberg, Thomas A. – Journal of Mathematical Behavior, 1995
Reviews research using diagrams, number sentences, and algorithms to help students learn to add and subtract; poses questions on the relationship of instruction to children's knowledge construction; and proposes a research agenda in this area. (86 references) (MKR)
Descriptors: Addition, Algorithms, Arithmetic, Cognitive Processes
Taylor, Karen A. – 1991
This review of the literature and annotated bibliography summarizes the available research relating to teaching programming to high school students. It is noted that, while the process of programming a computer could be broken down into five steps--problem definition, algorithm design, code writing, debugging, and documentation--current research…
Descriptors: Algorithms, Annotated Bibliographies, Authoring Aids (Programing), Cognitive Processes

Scanlan, David; Clark, Leisa – Journal of Computers in Mathematics and Science Teaching, 1989
Studies whether students' stated preferences for flowcharts or pseudocodes match their actual behaviors. Provides a review of the literature on flowchart utility. Reports that students preferred flowcharts to pseudocodes. Lists an example of both a flowchart and pseudocode. (MVL)
Descriptors: Algorithms, Charts, College Mathematics, Computer Science Education