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Supanun Pimdee; Thapanee Seechaliao – Journal of Education and Learning, 2025
The research objectives were to 1) study the current conditions, problems, and good practices regarding teaching and learning 2) develop a blended instructional model using problem-based learning with graphic organizers to enhance systems thinking skills in computational science for students in lower secondary school and 3) study the results of…
Descriptors: Blended Learning, Instructional Materials, Secondary School Students, Grade 7
Lai, Ying-Hsun; Chen, Shih-Yeh; Lai, Chin-Feng; Chang, Yao-Chung; Su, Yu-Sheng – Interactive Learning Environments, 2021
Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…
Descriptors: Artificial Intelligence, Internet, Computation, Thinking Skills
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
Margulieux, Lauren E.; Catrambone, Richard; Schaeffer, Laura M. – Instructional Science: An International Journal of the Learning Sciences, 2018
Originally intended as a replication study, this study discusses differences in problem solving performance among different domains caused by the same instructional intervention. The learning sciences acknowledges similarities in the learners' cognitive architecture that allow interventions to apply across domains, but it also argues that each…
Descriptors: Problem Solving, Intervention, Instructional Design, Programming
Cheah, Chin Soon – Contemporary Educational Technology, 2020
This paper reviews the literature relating to the factors that contribute to the difficulties in learning of computer programming. Programming has been a difficult subject to learn and master even at the early stage of education. It has been a global problem and continues to worsen at the local level. Although, there are many education tools…
Descriptors: Difficulty Level, Programming, Computer Science Education, Educational Research
de Oliveira Costa Machado, Marcelo; Barrére, Eduardo; Souza, Jairo – International Journal of Distance Education Technologies, 2019
Adaptive curriculum sequencing (ACS) is still a challenge in the adaptive learning field. ACS is a NP-hard problem especially considering the several constraints of the student and the learning material when selecting a sequence from repositories where several sequences could be chosen. Therefore, this has stimulated several researchers to use…
Descriptors: Sequential Approach, Intelligent Tutoring Systems, Mathematics, Problem Solving
Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
Rheinboldt, Werner C. – 1980
This material contains two units which view applications of computer science. The first of these examines Horner's scheme; and is designed to instruct the user on how to apply both this scheme and related algorithms. The second unit aims for student understanding of standard bisection, secant, and Newton methods of root finding and appreciation of…
Descriptors: Algorithms, College Mathematics, Computer Programs, Computer Science
Motter, Wendell L. – 1980
It is noted that there are some integrals which cannot be evaluated by determining an antiderivative, and these integrals must be subjected to other techniques. Numerical integration is one such method; it provides a sum that is an approximate value for some integral types. This module's purpose is to introduce methods of numerical integration and…
Descriptors: Calculus, College Mathematics, Computer Science, Computer Science Education
Piele, Donald T. – Creative Computing, 1982
Answers to problems (in Applesoft Basic) in the Second Annual Computer Problem Solving Contest are presented, corresponding to elementary/junior/senior levels. Problems require good control of programing language, ability to solve problems, and implementing a problem-solving strategy within a computer language. Problem types include words,…
Descriptors: Computer Programs, Computer Science Education, Elementary Secondary Education, Instructional Materials
National Council of Teachers of Mathematics, Inc., Reston, VA. – 1968
This booklet was written to help the mathematics teacher introduce computers through an easy, problem-oriented language. In Section I, a problem is selected and solved in a manner that builds up the use of the language. In Section II, the language is applied to three sample problems to illustrate further the programming techniques presented in…
Descriptors: Computer Assisted Instruction, Computer Science, Development, Instruction

Bayman, Piraye; Mayer, Richard E. – Journal of Educational Psychology, 1988
BASIC programing was taught to 95 undergraduates from a manual emphasizing the language's syntax or from a manual that included additional material on the underlying semantics. Both approaches produced equivalent learning of syntactic features of BASIC; however, semantically trained students developed fewer misconceptions and performed better on…
Descriptors: Computer Science Education, Higher Education, Instructional Materials, Misconceptions

Mayer, Richard E. – Journal of Educational Psychology, 1975
Subjects taught by a model performed better on interpretation of programs and on problems requiring looping, while nonmodel subjects excelled on straightforward generation of programs. The model used was especially helpful for low ability subjects. Practice in interpretation helped nonmodel subjects most and practice in writing simple programs…
Descriptors: Ability, College Students, Computer Science Education, Higher Education
Piele, Donald T. – Creative Computing, 1982
The problems used in the Second Annual Computer Problem Solving Contest are presented. There are three groups of five problems, which corresponded to Elementary, Junior, and Senior contest sets. The contest questions are seen as interesting for individual study, and potentially useful to teachers of computer programing. (MP)
Descriptors: Computer Programs, Computer Science Education, Elementary Secondary Education, Enrichment Activities
Piele, Donald T. – Creative Computing, 1981
Several computer-oriented lessons designed to explore and exploit the problem-solving capabilities of currently available, inexpensive systems are presented. The programing language BASIC is featured. (MP)
Descriptors: Computer Oriented Programs, Computer Science Education, Elementary Secondary Education, Instructional Materials